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The Core performs voice biometrics on audio files, which leads to highly accurate speaker indexing and transcription of audio files. Upload (POST) a file to launch processing. The Core will then identify speech segments, smaller units that are determined by speaker changes and pauses in utterances. Lastly, the Core will identify speakers that match across same and different files, and/or perform transcription.

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Get information about the remaining quotas and license expiration.

Remove expired licenses.

Add newly issued license and update the quotas.

License API handles licensing of the software. It allows to add, retrieve, and delete licenses.

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Retrieve information about a specified speaker.

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Retrieve information about all existing speakers.

Attach metadata to an existing speaker.

uuid of the speaker

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Compute the similarity between two speakers.

Speakers API enables retrieval of the speakers identified in the files.

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Retrieve a processed file.

id of the file

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Retrieve a list of files that are currently being processed.

Retrieve recetly published files

Retrieve all processed files.

UUID of group

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UUID of sub group

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balanced, speech_recognition, transcription

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Publish file for processing.

Remove a processed or published file and all related information from the database.

Cancel the processing of a file.

Current speaker id

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ID of speaker to change to (omit to create new speaker)

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Assign the segments belonging to a speaker in this file to another speaker.

Files API handles uploading of files to process and retrieval the results of processing.

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Retrieve a specified segment.

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Retrieve all segments.

Compute the similarity between the audio stored in the specified segments.

id of speaker to change to, omit to create new speaker

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Assign segment to a specified speaker.

Segments API enables retrieval and editing of individual segments.

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Initiate search for a speaker with a voice sample.

Retrieve the results of a specified search.

Search API enables searching for a speaker across all the processed files.

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UUID of group

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UUID of sub group

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balanced, speech_recognition, transcription

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Publish file for processing.

Get all currently running jobs (not SUCCESS, FAILED, or CANCELLED).

Get a single job by its ID.

Get multiple jobs with pagination and optional filtering.

limit: Maximum number of jobs to return (default: 10, max: 100)
offset: Number of jobs to skip (default: 0)
status: Filter by status (can specify multiple)
job_type: Filter by job type

Get multiple jobs with pagination and optional filtering.

limit: Maximum number of jobs to return (default: 10, max: 100)
offset: Number of jobs to skip (default: 0)
status: Filter by status (can specify multiple)
job_type: Filter by job type

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Om nej, returnera en lista med ett enda objekt som säger att det inte fanns någon deltagarlista. Om ja, returnera en lista över de som var närvarande. Använd de namn som deltagarna själva uppger, samt roll för dem som anger en. Använd formatet 'Namn, Roll' i listan.\",\n \"question_type\": \"bullet_list\"\n },\n {\n \"id\": \"22222222-2222-2222-2222-222222222222\",\n \"title\": \"Agendapunkter\",\n \"question_text\": \"Din uppgift är att extrahera en minimal lista med hög-nivå agendapunkter från ett mötesprotokoll.\\\\n\\\\nDessa punkter används endast som behållare för senare sammanfattningar. 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Formatera åtgärdspunkterna så här: : <Åtgärdspunkt>.\",\n \"question_type\": \"bullet_list\"\n }\n ]\n}","options":{"raw":{"headerFamily":"json","language":"json"}}},"url":"{{host}}/file/:file_id/template","auth":{"type":"bearer","bearer":{"basicConfig":[{"key":"token","value":"{{license}}"}]},"isInherited":true,"source":{"_postman_id":"45bf7b43-83b5-4ec2-a65e-5872a30ee350","id":"45bf7b43-83b5-4ec2-a65e-5872a30ee350","name":"Core","type":"collection"}},"urlObject":{"path":["file",":file_id","template"],"host":["{{host}}"],"query":[],"variable":[{"type":"any","value":"{{last_posted_chunked_file}}","key":"file_id"}]}},"response":[{"id":"5b8c9212-65d8-4a3a-839d-c2985dc0a3ba","name":"Successful Response","originalRequest":{"method":"POST","header":[{"key":"Content-Type","value":"application/json"},{"key":"Accept","value":"application/json"},{"description":"Added as a part of security scheme: bearer","key":"Authorization","value":"Bearer "}],"body":{"mode":"raw","raw":"{\n \"file_id\": \"60fe7f5a-8cb2-8f4f-7a23-d4e1da551719\",\n \"metadata\": {\n \"meeting_title\": null,\n \"meeting_date\": null,\n \"duration\": null\n },\n \"template_language\": \"string\",\n \"questions\": [\n {\n \"id\": \"b29e4bf0-0d66-4062-d076-012ea2ac537d\",\n \"title\": \"string\",\n \"prompt\": \"string\",\n \"system_prompt_id\": \"e8d3a353-cb43-c6ac-484d-89af55838407\",\n \"additional_context\": null,\n \"example_response\": \"string\",\n \"dependencies\": [\n \"cb116490-f4cf-58fe-83d1-2565df3ad141\",\n \"1664013e-00f1-2f11-b859-3b0b2d3d8b1e\"\n ]\n },\n {\n \"id\": \"86345f69-1830-b6da-e8bb-9ba6ef397d5e\",\n \"title\": \"string\",\n \"prompt\": \"string\",\n \"system_prompt_id\": \"16fe40af-175b-b8aa-0ad7-23c5cde4260a\",\n \"additional_context\": null,\n \"example_response\": null,\n \"dependencies\": null\n }\n ],\n \"meeting_context\": 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"}],"body":{"mode":"raw","raw":"{\n \"file_id\": \"60fe7f5a-8cb2-8f4f-7a23-d4e1da551719\",\n \"metadata\": {\n \"meeting_title\": null,\n \"meeting_date\": null,\n \"duration\": null\n },\n \"template_language\": \"string\",\n \"questions\": [\n {\n \"id\": \"b29e4bf0-0d66-4062-d076-012ea2ac537d\",\n \"title\": \"string\",\n \"prompt\": \"string\",\n \"system_prompt_id\": \"e8d3a353-cb43-c6ac-484d-89af55838407\",\n \"additional_context\": null,\n \"example_response\": \"string\",\n \"dependencies\": [\n \"cb116490-f4cf-58fe-83d1-2565df3ad141\",\n \"1664013e-00f1-2f11-b859-3b0b2d3d8b1e\"\n ]\n },\n {\n \"id\": \"86345f69-1830-b6da-e8bb-9ba6ef397d5e\",\n \"title\": \"string\",\n \"prompt\": \"string\",\n \"system_prompt_id\": \"16fe40af-175b-b8aa-0ad7-23c5cde4260a\",\n \"additional_context\": null,\n \"example_response\": null,\n \"dependencies\": null\n }\n ],\n \"meeting_context\": 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\"Summary\",\n \"prompt\": \"Provide a 10 sentence summary of the call. In the summary, include the covered doctors, benefits of the plan such as Part B giveback, spending allowance amount, dental amount, and low copays. Whenever applicable, add a sentence regarding the outcome of the call - was the agent able to convince the person to switch to the offered insurance provider?\",\n \"question_type\": \"general_question\",\n \"additional_context\": \"The call was about medical insurance and it is important to ensure that the summary is accurate and does not contain any information that is not present in the transcript.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"11111111-1111-1111-1111-111111111111\",\n \"title\": \"Discussed Topics\",\n \"prompt\": \"Which of the following topics listed in the question metadata were discussed during the call? The order does not matter, simply list the topics that were covered, ideally with timestamp of when the topic was discussed.\",\n \"question_type\": \"bullet_list\",\n \"additional_context\": \"Medicaid, Plan Premium, Medical Deductible, Max Out of Pocket, Drug Deductible, PPO plan or HMO plan, Ambulance Copay, Dental coverage, Lab Copay, Primary care copay, Specialist copay, Drug/Medication Cost, Part B giveback, Emergency care copay, Outpatient Services/Surgery, Over the Counter Benefits/ Food benefits/Flex Benefits, Preventative care copay, Urgent Care Copay, Inpatient Hospital Copay, Drug Tier Copays, Transportation, Preventative care\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"22222222-2222-2222-2222-222222222222\",\n \"title\": \"Medicare\",\n \"prompt\": \"Did the agent ask for Medicare Parts A and B within the first 30 seconds of the call when the agent joins the call?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"33333333-3333-3333-3333-333333333333\",\n \"title\": \"Zip Code\",\n \"prompt\": \"Did the agent ask for the customer's zip code within the first 30 seconds of the call when the agent joins the call?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Zip code is needed to provide the customer with a quote for the insurance plan.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"707165ae-d939-4902-8566-899e3748c64b\",\n \"title\": \"Reason for Calling\",\n \"prompt\": \"What is the reason for the customer calling?\",\n \"question_type\": \"general_question\",\n \"additional_context\": \"The reason for call might stated during the call or inferred from the conversation, based on the benefits and plans discussed by the agent and the customer. Usually the reasons are Food, dental, insurance plan benefits update.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"44444444-4444-4444-4444-444444444444\",\n \"title\": \"Chronic Conditions\",\n \"prompt\": \"Did the agent ask if the customer has any chronic conditions?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"55555555-5555-5555-5555-555555555555\",\n \"title\": \"Medicaid\",\n \"prompt\": \"Did the agent ask if the customer has medicaid?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"66666666-6666-6666-6666-666666666666\",\n \"title\": \"Primary Care Doctor\",\n \"prompt\": \"Did the agent ask for the customer's primary care doctor's name?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"77777777-7777-7777-7777-777777777777\",\n \"title\": \"Doctor in Network\",\n \"prompt\": \"Did the agent mention whether customer's doctor is in the discussed network?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"88888888-8888-8888-8888-888888888888\",\n \"title\": \"Specific Pharmacy\",\n \"prompt\": \"Did the agent ask about if the customer uses a certain pharmacy?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"99999999-9999-9999-9999-999999999999\",\n \"title\": \"Alternative Phone Number\",\n \"prompt\": \"Did the agent ask for the customer's alternative phone number?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"aaaaaaaa-aaaa-aaaa-aaaa-aaaaaaaaaaaa\",\n \"title\": \"Company Phone Number\",\n \"prompt\": \"Did the agent provide the customer with the company's phone number 1-800-490-3814?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The phone number has to be provided correctly, but note that it might sometimes be misspelled by the transcriber or it might be missing from the transcript due to technical error. If at least part of the number match, don't conclude that the provided number was incorrect - rather state that the transcript might be incorrect and needs to be verified. In addition, check for the number in the entire transcript, not just the first phone number you find.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"bbbbbbbb-bbbb-bbbb-bbbb-bbbbbbbbbbbb\",\n \"title\": \"Cards Confirmation\",\n \"prompt\": \"Did agent let the caller know that we will be calling to make sure they got their cards?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"cccccccc-cccc-cccc-cccc-cccccccccccc\",\n \"title\": \"Enrollment Code\",\n \"prompt\": \"Did agent ask for the customer's enrolment code?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"d07ac31f-2057-48ad-b162-231f8a4df5fa\",\n \"title\": \"Permission to Record Enrollment\",\n \"prompt\": \"Scan the conversation to check if the agent ask for the customer's permission to record the enrolment?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The agent needs to ask for the customer's permission to record the enrolment to ensure that the call is compliant with the law. The permission should be explicit.\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"75f844e0-0cb1-49f3-b5d4-5db09c7476ea\",\n \"title\": \"Benefits of the Plan\",\n \"prompt\": \"Did agent ask for the customer's permission to review the benefits of the plan?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"The wording might be something similar to It's important that you understand the benefits included in your plan. Would you like to review them before we continue?\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"5ea22e82-4a9f-487e-9050-7386fac5e4f3\",\n \"title\": \"Benefits Premium Change\",\n \"prompt\": \"Did agent inform the customer that benefits, premiums, and/or copayments/co-insurance may change on January 1?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"5b931280-fa3d-4f9a-b804-973ab193c6b4\",\n \"title\": \"Enroll in one Plan Only\",\n \"prompt\": \"Did agent inform the customer that they may enroll in only one Medicare Advantage or Medicare Part D plan at a time?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"c5d1bab5-d8d3-403a-93f6-fe13ff327825\",\n \"title\": \"Summary of Benefits\",\n \"prompt\": \"Did agent inform the customer where the summary of benefits and STAR rating for this plan can be found?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"85f9d930-1dfd-4ead-86e3-f6fa65e0098d\",\n \"title\": \"Not Every Plan Available in Area\",\n \"prompt\": \"Did agent inform the customer that not every plan is available in their area? The agent should inform the customer that not every plan is available in their area and they should contact Medicare.gov or 1–800–MEDICARE for more information.\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"9c57d73e-9fba-43db-b29b-bced2e4dfdab\",\n \"title\": \"Keep Parts A and B\",\n \"prompt\": \"Did agent inform the customer that once enrolled, they must keep both Hospital (Part A) and Medical (Part B). The agent must read the following disclosure: Once you enroll in a Medicare Advantage plan, you must keep both Hospital (Part A) and Medical (Part B). The text might differ slightly.\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"9b77d7a5-1229-46fc-b618-8d37114bc2eb\",\n \"title\": \"Other Prescription Coverage\",\n \"prompt\": \"Did agent ask if the customer will have any other prescription drug coverage when this plan becomes effective?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"416be86b-9c18-47fd-bfa5-9e7d0ea5df79\",\n \"title\": \"Medicare Advantage Plan\",\n \"prompt\": \"Did agent confirm that the customer understands this is a Medicare Advantage plan and not a Medicare Supplement plan?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"c6ccc2e0-af81-4eb9-90be-b2f60eeb3873\",\n \"title\": \"Getting Started Guide\",\n \"prompt\": \"Did agent inform the customer that they will receive a Getting Started Guide including the Evidence of Coverage document?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"c2e27b47-5d5a-4886-8bba-dc9b119fcd6a\",\n \"title\": \"Late Enrolment Penalty\",\n \"prompt\": \"Did agent inform the customer about the potential late enrolment penalty for not signing up for credible prescription drug coverage?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"fd046037-9273-47ae-9ccd-da5b7a747eb1\",\n \"title\": \"Extra Help Eligibility\",\n \"prompt\": \"Did agent inform the customer about the possibility of qualifying for Extra Help with prescription drug premiums and costs?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"2feca5e2-9afe-4910-8ab1-9c6c9b8744a8\",\n \"title\": \"Electronic Transaction Verification\",\n \"prompt\": \"Did agent confirm that the customer is enrolling using an electronic transaction verified by an electronic signature?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"e236f3ef-b716-4836-9bd1-ccc0451a816b\",\n \"title\": \"Electronic Transaction Agreement\",\n \"prompt\": \"Did agent confirm that the agreement to use an electronic transaction only applies to this enrolment?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"508b33ae-d987-4920-9124-d9aad213fdec\",\n \"title\": \"Cancel Electronic Agreement\",\n \"prompt\": \"Did agent inform the customer that they may request to cancel the agreement to an electronic transaction?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"68d0d92c-a0b3-47d0-a94e-3a2895ad0b33\",\n \"title\": \"Employer Union Coverage Loss\",\n \"prompt\": \"Did agent inform the customer that they could lose employer or union healthcare coverage if they join?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"32a4a719-37be-45ca-a7fd-eeed920226e4\",\n \"title\": \"Information Sharing Acknowledgment\",\n \"prompt\": \"Did agent confirm that the customer acknowledges information sharing with Medicare and other plans?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"60b07eb4-fd9e-4cb2-90c7-c3c0f5caf1cd\",\n \"title\": \"Enrolment Period Restriction\",\n \"prompt\": \"Did agent inform the customer that enrolment in this plan is usually for an entire year?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"e20084f7-6ffe-4b2c-a96a-5485c00b067e\",\n \"title\": \"Right to Appeal\",\n \"prompt\": \"Did agent inform the customer about their right to appeal plan decisions?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"88e1e6e4-da42-49b5-8a3c-511466d563ba\",\n \"title\": \"Out of Country Coverage\",\n \"prompt\": \"Did agent inform the customer that Medicare doesn't generally cover beneficiaries out of the country?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"113d9228-d56c-492c-8661-46b099f0fe71\",\n \"title\": \"Correct Information Provided\",\n \"prompt\": \"Did agent inform the customer that out-of-network/non-contracted providers are not obligated to treat Plan members?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"46c6defe-5236-471e-91d2-905b316afd62\",\n \"title\": \"Right to File Complaint\",\n \"prompt\": \"Did agent inform the customer about their right to file a complaint regarding the quality of care or services?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"7af766c5-2167-4eda-91dd-40a4a959556f\",\n \"title\": \"Plan Coverage Acknowledgment\",\n \"prompt\": \"Did agent confirm that the customer understands they must get all medical and prescription drug benefits from their carrier once coverage begins?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"0a7fce0c-a27b-445f-8eb3-5f1113ef7525\",\n \"title\": \"Enrolment Completion\",\n \"prompt\": \"Did agent ask the customer to state their name, date of birth, and agreement to complete enrolment now? THIS IS ARGUABLY THE MOST IMPORTANT QUESTION IN THE WHOLE CALL. MAKE SURE YOU GET THIS ONE RIGHT.\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"8a1dcc4b-047f-4d31-9067-b2d8a67c7a1e\",\n \"title\": \"Out of Network Providers\",\n \"prompt\": \"Did the agent inform the customer about out-of-network/non-contracted providers are not obligated to treat plan members, except in emergency situations?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"Disclosure text: Out-of-network/non-contracted providers are not obligated to treat Plan members, except in emergency situations\",\n \"example_response\": null,\n \"dependencies\": []\n },\n {\n \"id\": \"1a8928c4-ab88-4930-a15a-ba004df8473b\",\n \"title\": \"Authorization to Make Own Decision\",\n \"prompt\": \"Did the agent ask the customer if they are authorized to make their own healthcare decisions, or if they have a Power of Attorney/authorized representative?\",\n \"question_type\": \"table_entry\",\n \"additional_context\": \"Disclosure text: Do you make your own healthcare decisions, or do you have a Power of Attorney/authorized representative?\",\n \"example_response\": null,\n \"dependencies\": []\n }\n ],\n \"meeting_context\": \"\"\n}","options":{"raw":{"headerFamily":"json","language":"json"}}},"url":{"raw":"{{host}}/file/:file_id/template","host":["{{host}}"],"path":["file",":file_id","template"],"variable":[{"key":"file_id","value":"952ee9e6-a720-4051-a9a6-f56650ad6edf"}]}},"_postman_previewlanguage":null,"header":null,"cookie":[],"responseTime":null,"body":null},{"id":"66a4940d-c151-4938-8d42-5b572f0ce341","name":"Pål Jonsson - Folk och Försvar","originalRequest":{"method":"POST","header":[{"key":"Content-Type","value":"application/json"},{"key":"Accept","value":"application/json"}],"body":{"mode":"raw","raw":"{\n \"metadata\": {\n \"meeting_title\": \"Insurance call\",\n \"meeting_date\": \"2025-04-04\"\n },\n \"template_language\": \"en\",\n \"meeting_context\": \"\",\n \"questions\": [\n {\n \"id\": \"cbcd81c8-4327-5a32-9178-54d4663b4ef0\",\n \"title\": \"Summary\",\n \"question_text\": \"Provide a 10 sentence summary of the call. In the summary, include the covered doctors, benefits of the plan such as Part B giveback, spending allowance amount, dental amount, and low copays. Whenever applicable, add a sentence regarding the outcome of the call - was the agent able to convince the person to switch to the offered insurance provider?\",\n \"question_type\": \"general_question\",\n \"additional_context\": \"The call was about medical insurance and it is important to ensure that the summary is accurate and does not contain any information that is not present in the transcript.\",\n \"dependencies\": []\n },\n {\n \"id\": \"f670c142-75cf-5d46-81c4-b2bfac451262\",\n \"title\": \"Discussed Topics\",\n \"question_text\": \"Which of the following topics listed in the question metadata were discussed during the call? The order does not matter, simply list the topics that were covered, ideally with timestamp of when the topic was discussed.\",\n \"question_type\": \"bullet_list\",\n \"additional_context\": \"Medicaid, Plan Premium, Medical Deductible, Max Out of Pocket, Drug Deductible, PPO plan or HMO plan, Ambulance Copay, Dental coverage, Lab Copay, Primary care copay, Specialist copay, Drug/Medication Cost, Part B giveback, Emergency care copay, Outpatient Services/Surgery, Over the Counter Benefits/ Food benefits/Flex Benefits, Preventative care copay, Urgent Care Copay, Inpatient Hospital Copay, Drug Tier Copays, Transportation, Preventative care\",\n \"dependencies\": []\n },\n {\n \"id\": \"50aa6b4f-9d9e-5842-9888-84d0e51ae97f\",\n \"title\": \"Medicare\",\n \"question_text\": \"Did the agent ask for Medicare Parts A and B within the first 30 seconds of the call when the agent joins the call?\\\"\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\\nThe call might start by a customer support representative connecting a customer to an agent. In this case, the time should be counted from the moment the agent joins the call.\",\n \"dependencies\": []\n },\n {\n \"id\": \"f466851c-c18d-5167-844c-7d85720a0230\",\n \"title\": \"Zip Code\",\n \"question_text\": \"Did the agent ask for the customer's zip code within the first 30 seconds of the call when the agent joins the call?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\\nZip code is needed to provide the customer with a quote for the insurance plan. The call might start by a customer support representative connecting a customer to an agent. In this case, the time should be counted from the moment the agent joins the call..\",\n \"dependencies\": []\n },\n {\n \"id\": \"5dd132ad-9c5d-42d6-a5f3-ef75d42c3093\",\n \"title\": \"Reason for Calling\",\n \"question_text\": \"What is the reason for the customer calling?\",\n \"question_type\": \"general_question\",\n \"additional_context\": \"The reason for call might stated during the call or inferred from the conversation, based on the benefits and plans discussed by the agent and the customer. Usually the reasons are Food, dental, insurance plan benefits update.\",\n \"dependencies\": []\n },\n {\n \"id\": \"889ca4e6-3b87-5948-8b34-c468602715c9\",\n \"title\": \"Chronic Conditions\",\n \"question_text\": \"Did the agent ask if the customer has any chronic conditions?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"355ed9a0-81f3-5ec8-809d-7f8949fefe9d\",\n \"title\": \"Medicaid\",\n \"question_text\": \"Did the agent ask if the customer has medicaid?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"8427537e-4d2d-5ab9-905b-3f159b74d6ac\",\n \"title\": \"Primary Care Doctor\",\n \"question_text\": \"Did the agent ask for the customer's primary care doctor's name?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"d017d22f-c1f4-5cba-b3c1-b9916de60d36\",\n \"title\": \"Doctor in Network\",\n \"question_text\": \"Did the agent mention whether customer's doctor is in the discussed network?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"c7ad7ce0-f885-5f9f-9af3-f045138defca\",\n \"title\": \"Specific Pharmacy\",\n \"question_text\": \"Did the agent ask about if the customer uses a certain pharmacy?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"591dd5db-0a4d-5eb0-8f1a-9ee72ff57092\",\n \"title\": \"Alternative Phone Number\",\n \"question_text\": \"Did the agent ask for the customer's alternative phone number?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"6ee2716f-9da4-5013-b912-df58d16f7276\",\n \"title\": \"Company Phone Number\",\n \"question_text\": \"Did the agent provide the customer with the company's phone number 1-800-490-3814?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The phone number has to be provided correctly, but note that it might sometimes be misspelled by the transcriber or it might be missing from the transcript due to technical error. If at least part of the number match, don't conclude that the provided number was incorrect - rather state that the transcript might be incorrect and needs to be verified. In addition, check for the number in the entire transcript, not just the first phone number you find. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"97be7579-17ea-5bb1-bba5-5d853748ae19\",\n \"title\": \"Cards Confirmation\",\n \"question_text\": \"Did agent let the caller know that we will be calling to make sure they got their cards?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"78af0a19-43e0-5dc5-a752-68a6e83128db\",\n \"title\": \"Enrollment Code\",\n \"question_text\": \"Did agent ask for the customer's enrolment code?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent has a list of questions they must ask during the call to ensure that they can provide best possible plan for the potential customer. Scan the conversation to make sure that the agent has asked the customer to provide the information specified in the prompt above. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"5429c5b7-c0c4-580e-ab44-093003ad54f4\",\n \"title\": \"Topics Bullet List\",\n \"question_text\": \"For all the topics identified in the Discussed Topics question, format them to be a bullet list in the github-flavored markdown, with the Discussed Topics being the header and each topic being a bullet point. Make sure that you provide the appropriate timestamp for each topic. \",\n \"question_type\": \"bullet_list\",\n \"additional_context\": \"This will be included into the report that will be created for this conversation based on your responses, so please make sure that you format the numbered bullet list correctly.\",\n \"dependencies\": [\n \"f670c142-75cf-5d46-81c4-b2bfac451262\"\n ]\n },\n {\n \"id\": \"40aa0858-a78e-50db-93e1-ab0fa887029f\",\n \"title\": \"Question/Mention Checklist\",\n \"question_text\": \"Format all the relevant previous questions into a github-flavored markdown table with the following structure: \\n| Topic | Mentioned | Timestamp |\\nAll you need to do is go through the relevant answers, extract the Topic (the ID of question), and then take the Mentioned and Timestamp data from the answer. \",\n \"question_type\": \"table\",\n \"additional_context\": \"The previous answers are formatted in a way that if the answer was Yes, there will be a timestamp, and if No - there will be a dash. Please ensure that the entire table is formatted correctly and can be rendered in github-flavored markdown.\",\n \"dependencies\": [\n \"f466851c-c18d-5167-844c-7d85720a0230\",\n \"50aa6b4f-9d9e-5842-9888-84d0e51ae97f\",\n \"889ca4e6-3b87-5948-8b34-c468602715c9\",\n \"355ed9a0-81f3-5ec8-809d-7f8949fefe9d\",\n \"8427537e-4d2d-5ab9-905b-3f159b74d6ac\",\n \"d017d22f-c1f4-5cba-b3c1-b9916de60d36\",\n \"c7ad7ce0-f885-5f9f-9af3-f045138defca\",\n \"591dd5db-0a4d-5eb0-8f1a-9ee72ff57092\",\n \"6ee2716f-9da4-5013-b912-df58d16f7276\",\n \"97be7579-17ea-5bb1-bba5-5d853748ae19\",\n \"78af0a19-43e0-5dc5-a752-68a6e83128db\"\n ]\n },\n {\n \"id\": \"d2a339dd-1fbc-4481-9741-87877e6aee40\",\n \"title\": \"Permission to Record Enrollment\",\n \"question_text\": \"Scan the conversation to check if the agent ask for the customer's permission to record the enrolment?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The agent needs to ask for the customer's permission to record the enrolment to ensure that the call is compliant with the law. The permission should be explicit. Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"ea752ba6-4dca-4b2a-9ed6-85c9538dad4d\",\n \"title\": \"Benefits of the Plan\",\n \"question_text\": \"Did agent ask for the customer's permission to review the benefits of the plan?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"The wording might be something similar to It's important that you understand the benefits included in your plan. Would you like to review them before we continue? Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"737b5399-22f5-4278-bc99-e5bd449b44c4\",\n \"title\": \"Benefits Premium Change\",\n \"question_text\": \"Did agent inform the customer that benefits, premiums, and/or copayments/co-insurance may change on January 1?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"83133c81-1a18-4a04-8229-9aa611a8f052\",\n \"title\": \"Enroll in one Plan Only\",\n \"question_text\": \"Did agent inform the customer that they may enroll in only one Medicare Advantage or Medicare Part D plan at a time?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"85944a0f-4234-44cc-9592-12e78e632574\",\n \"title\": \"Summary of Benefits\",\n \"question_text\": \"Did agent inform the customer where the summary of benefits and STAR rating for this plan can be found?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"8b368173-cb65-4cbd-88a2-682a1ee8bd1b\",\n \"title\": \"Not Every Plan Available in Area\",\n \"question_text\": \"Did agent inform the customer that not every plan is available in their area? The agent should inform the customer that not every plan is available in their area and they should contact Medicare.gov or 1\\u2013800\\u2013MEDICARE for more information.\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"b4189a71-116e-4a37-81d8-ba910d6a8bad\",\n \"title\": \"Keep Parts A and B\",\n \"question_text\": \"Did agent inform the customer that once enrolled, they must keep both Hospital (Part A) and Medical (Part B). The agent must read the following disclosure: Once you enroll in a Medicare Advantage plan, you must keep both Hospital (Part A) and Medical (Part B). The text might differ slightly. \",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"03bf1672-b974-41c1-b12e-b8f85bdfae88\",\n \"title\": \"Other Prescription Coverage \",\n \"question_text\": \"Did agent ask if the customer will have any other prescription drug coverage when this plan becomes effective?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"e7c54ca4-3d13-4fd3-982c-4179e315e473\",\n \"title\": \"Medicare Advantage Plan\",\n \"question_text\": \"Did agent confirm that the customer understands this is a Medicare Advantage plan and not a Medicare Supplement plan?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"dc46ff07-814f-4339-9616-d8005bd3886a\",\n \"title\": \"Getting Started Guide\",\n \"question_text\": \"Did agent inform the customer that they will receive a Getting Started Guide including the Evidence of Coverage document?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"896ced41-5eef-49a7-95e0-fde57b9a4b61\",\n \"title\": \"Late Enrolment Penalty\",\n \"question_text\": \"Did agent inform the customer about the potential late enrolment penalty for not signing up for credible prescription drug coverage?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"7405a018-3cd5-47ef-9899-427e1f0023ab\",\n \"title\": \"Extra Help Eligibility\",\n \"question_text\": \"Did agent inform the customer about the possibility of qualifying for Extra Help with prescription drug premiums and costs?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"7daac808-1b9e-4d23-85fb-f727b80c3e35\",\n \"title\": \"Electronic Transaction Verification\",\n \"question_text\": \"Did agent confirm that the customer is enrolling using an electronic transaction verified by an electronic signature?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"f75c1ec9-b16c-4a0c-a5bc-2aec5d6c311f\",\n \"title\": \"Electronic Transaction Agreement\",\n \"question_text\": \"Did agent confirm that the agreement to use an electronic transaction only applies to this enrolment?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"14b0d76f-30b4-4f53-a004-c7f55d29d34c\",\n \"title\": \"Cancel Electronic Agreement\",\n \"question_text\": \"Did agent inform the customer that they may request to cancel the agreement to an electronic transaction?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"910a2b32-8af8-406b-8780-d9eb1a9651f3\",\n \"title\": \"Employer Union Coverage Loss\",\n \"question_text\": \"Did agent inform the customer that they could lose employer or union healthcare coverage if they join?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"bc6f1eb0-deee-4055-9cb6-c51594c2ddd2\",\n \"title\": \"Information Sharing Acknowledgment\",\n \"question_text\": \"Did agent confirm that the customer acknowledges information sharing with Medicare and other plans?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"801914bb-4f77-465d-853c-0a4559926b74\",\n \"title\": \"Enrolment Period Restriction\",\n \"question_text\": \"Did agent inform the customer that enrolment in this plan is usually for an entire year?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"c2b43ac1-9572-40f1-964c-e0ff42a85a05\",\n \"title\": \"Right to Appeal\",\n \"question_text\": \"Did agent inform the customer about their right to appeal plan decisions?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"db775ea6-1d7a-4ea5-b141-22bbb1f96f4c\",\n \"title\": \"Out of Country Coverage \",\n \"question_text\": \"Did agent inform the customer that Medicare doesn\\u2019t generally cover beneficiaries out of the country?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"71d529dd-d377-45e4-82bb-d95268549526\",\n \"title\": \"Correct Information Provided\",\n \"question_text\": \"Did agent inform the customer that out-of-network/non-contracted providers are not obligated to treat Plan members?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"dd81930b-3bd8-4de0-ba8f-08ccd2cb6d86\",\n \"title\": \"Right to File Complaint\",\n \"question_text\": \"Did agent inform the customer about their right to file a complaint regarding the quality of care or services?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"f0ae5161-234b-4f49-a536-d87247745c29\",\n \"title\": \"Plan Coverage Acknowledgment\",\n \"question_text\": \"Did agent confirm that the customer understands they must get all medical and prescription drug benefits from their carrier once coverage begins?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"821b1981-4033-4280-a987-41137edebbba\",\n \"title\": \"Enrolment Completion\",\n \"question_text\": \"Did agent ask the customer to state their name, date of birth, and agreement to complete enrolment now? THIS IS ARGUABLY THE MOST IMPORTANT QUESTION IN THE WHOLE CALL. MAKE SURE YOU GET THIS ONE RIGHT.\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash.\",\n \"dependencies\": []\n },\n {\n \"id\": \"85feb1ca-00b2-49fc-a176-559b7cd60a0a\",\n \"title\": \"Out of Network Providers\",\n \"question_text\": \"Did the agent inform the customer about out-of-network/non-contracted providers are not obligated to treat plan members, except in emergency situations?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash. Disclosure text: Out-of-network/non-contracted providers are not obligated to treat Plan members, except in emergency situations\",\n \"dependencies\": []\n },\n {\n \"id\": \"438ea0cd-0d8f-4000-a13b-55928f933a72\",\n \"title\": \"Authorization to Make Own Decision\",\n \"question_text\": \"Did the agent ask the customer if they are authorized to make their own healthcare decisions, or if they have a Power of Attorney/authorized representative?\",\n \"question_type\": \"topic_mentioned\",\n \"additional_context\": \"Structure your answer as a github flavored markdown with 3 fields: Question Name (taken from the question id), answer (Yes or No), and if the answer is Yes - add timestamps in the HH:MM:SS format and be as precise with the timestamps as possible, if no, add a dash. Disclosure text: Do you make your own healthcare decisions, or do you have a Power of Attorney/authorized representative?\",\n \"dependencies\": []\n },\n {\n \"id\": \"08911bcd-e5fb-59bc-9606-e03044abc06f\",\n \"title\": \"Disclosures Checklist\",\n \"question_text\": \"Format all the relevant previous questions into a github-flavored markdown table with the following structure: \\n| Topic | Mentioned | Timestamp |\\nAll you need to do is go through the relevant answers, extract the Topic (the ID of question), and then take the Mentioned and Timestamp data from the answer. \",\n \"question_type\": \"table\",\n \"additional_context\": \"The previous answers are formatted in a way that if the answer was Yes, there will be a timestamp, and if No - there will be a dash. 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