ChatGPT Summaries

Target trial emulation (TTE) aims to estimate treatment effects by simulating randomized controlled trials using real-world observational data. Applying TTE across distributed datasets shows great promise in improving generalizability and power but is always...

Exciting advancements in healthcare IT! The recent study introduces a Federated Learning-based Target Trial Emulation (FL-TTE) framework, enabling treatment effect estimation without sharing sensitive patient data. By leveraging distributed observational data, FL-TTE enhances generalizability and reduces bias in treatment effect estimates compared to traditional methods like meta-analysis. This innovative approach was validated using real-world data from diverse health systems, demonstrating its potential in improving clinical trial methodologies while preserving patient privacy. The future of healthcare analytics is here!#HealthcareIT #FederatedLearning #ClinicalTrials #DataPrivacy #RealWorldEvidence #HealthTech #MachineLearning

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 33501
Completion Tokens - 124
Total Tokens - 33625

🚀 Exciting advancements in healthcare technology are here! This month’s Digital Health Digest highlights key innovations: Abridge secures $300M to enhance EHR integration, while Stanford’s ChatEHR accelerates clinical note summaries by 60%. Salvo Health raises $4M to expand its AI-driven GI platform, and Handspring’s $12M investment will enhance mental health services for families. Plus, the FDA launches Elsa, a generative AI tool to streamline regulatory processes. These developments are set to improve patient outcomes and reduce clinician burnout.#DigitalHealth #HealthTech #AIinHealthcare #EHR #MedTech #PatientCare #Innovation

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BolMoQr6uDyYATR8ViYINXTBbeWwJ", "object": "chat.completion", "created": 1751438178, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting advancements in healthcare technology are here! This month’s Digital Health Digest highlights key innovations: Abridge secures $300M to enhance EHR integration, while Stanford’s ChatEHR accelerates clinical note summaries by 60%. Salvo Health raises $4M to expand its AI-driven GI platform, and Handspring’s $12M investment will enhance mental health services for families. Plus, the FDA launches Elsa, a generative AI tool to streamline regulatory processes. These developments are set to improve patient outcomes and reduce clinician burnout. nn#DigitalHealth #HealthTech #AIinHealthcare #EHR #MedTech #PatientCare #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 811, "completion_tokens": 132, "total_tokens": 943, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 811
Completion Tokens - 132
Total Tokens - 943

The Department of Veterans Affairs provides healthcare at 1,380 health facilities across the country, including 170 VA Medical Centers and 1,193 outpatient sites. And while these hospitals and clinics vary in size and technological...

Government hospitals are revolutionizing patient experiences through innovative digital display technologies. By providing vital health information and enhancing navigation, these displays foster trust and transparency throughout the care journey. The Department of Veterans Affairs and other agencies utilize interactive maps, educational content, and real-time updates to keep patients informed and engaged. Facilities like Brooke Army Medical Center leverage digital signage to enhance communication, ensuring patients feel involved in their care. This approach not only improves patient satisfaction but also empowers individuals to take an active role in their health management.#HealthcareIT #DigitalHealth #PatientExperience #HealthTech #Innovation #PatientEngagement #VeteransHealth

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Bob3tBYn5kCxdLCEC32cXsSTintuO", "object": "chat.completion", "created": 1751398565, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Government hospitals are revolutionizing patient experiences through innovative digital display technologies. By providing vital health information and enhancing navigation, these displays foster trust and transparency throughout the care journey. The Department of Veterans Affairs and other agencies utilize interactive maps, educational content, and real-time updates to keep patients informed and engaged. Facilities like Brooke Army Medical Center leverage digital signage to enhance communication, ensuring patients feel involved in their care. This approach not only improves patient satisfaction but also empowers individuals to take an active role in their health management. nn#HealthcareIT #DigitalHealth #PatientExperience #HealthTech #Innovation #PatientEngagement #VeteransHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5824, "completion_tokens": 124, "total_tokens": 5948, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 5824
Completion Tokens - 124
Total Tokens - 5948

What You Should Know: – Arcadia, a prominent healthcare data platform, and Nordic Capital, a private equity investor in healthcare and technology, today announced a strategic partnership under which Nordic Capital will become the majority...

Exciting news in healthcare IT! Nordic Capital has acquired a majority stake in Arcadia, a leading healthcare data platform. This strategic partnership aims to enhance Arcadia's mission of delivering actionable insights through a flexible, scalable platform, ultimately driving improved outcomes and efficiency across the healthcare ecosystem. Michael Meucci, Arcadia’s President and CEO, emphasized that this investment validates their commitment to innovation and data-driven intelligence. As we anticipate the transaction's closure in 2025, the future looks promising for healthcare analytics.#HealthcareIT #DataAnalytics #DigitalHealth #HealthTech #Innovation #MergersAndAcquisitions #HealthcareTransformation

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoadJTaRSgAgWWdtLgoOwPAzRHaex", "object": "chat.completion", "created": 1751396917, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare IT! Nordic Capital has acquired a majority stake in Arcadia, a leading healthcare data platform. This strategic partnership aims to enhance Arcadia's mission of delivering actionable insights through a flexible, scalable platform, ultimately driving improved outcomes and efficiency across the healthcare ecosystem. Michael Meucci, Arcadia’s President and CEO, emphasized that this investment validates their commitment to innovation and data-driven intelligence. As we anticipate the transaction's closure in 2025, the future looks promising for healthcare analytics. nn#HealthcareIT #DataAnalytics #DigitalHealth #HealthTech #Innovation #MergersAndAcquisitions #HealthcareTransformation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 485, "completion_tokens": 127, "total_tokens": 612, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 485
Completion Tokens - 127
Total Tokens - 612

What You Should Know:–  Suki, a leader in healthcare artificial intelligence (AI), has expanded its integration with MEDITECH, a widely trusted electronic health record (EHR) platform.–  This development positions Suki as the first to enable ambiently...

Exciting advancements in healthcare AI! Suki has integrated its ambient AI solution with MEDITECH’s Expanse EHR, enabling seamless clinical note generation directly into the system. This innovative partnership enhances documentation efficiency, reducing clinician burnout by 41% and streamlining workflows for over 1,000 providers. With real-time note generation and voice-to-text capabilities, Suki is transforming clinical operations, allowing healthcare professionals to focus more on patient care. As the demand for efficient documentation solutions grows, Suki continues to lead the way in ambient AI technology.#HealthcareIT #AIinHealthcare #EHR #ClinicalDocumentation #HealthTech #DigitalHealth #Innovation

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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Prompt Tokens - 799
Completion Tokens - 133
Total Tokens - 932

There are no prospective clinical studies evaluating artificial intelligence implementation for glaucoma detection in real-world settings. We developed an automated retinal photography and AI-based screening system and prospectively assessed its accuracy, feasibility, and acceptability...

Exciting advancements in glaucoma detection are underway! A recent pragmatic trial in Australia evaluated an automated retinal photography and AI screening system in primary care settings. With 414 participants, the AI achieved an impressive AUROC of 0.80, sensitivity of 65%, and specificity of 94.6%. Notably, 11.2% of previously undiagnosed patients were identified as having referable glaucoma. The study highlights the potential for AI to enhance early glaucoma detection, improve patient outcomes, and streamline referrals in general practice. This innovative approach could revolutionize eye care accessibility and efficiency.#HealthcareIT #AIinHealthcare #Glaucoma #DigitalHealth #Ophthalmology #PrimaryCare #Innovation

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoZTxUAXa1oZ4sr14J7vmXZOVhLS5", "object": "chat.completion", "created": 1751392493, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in glaucoma detection are underway! A recent pragmatic trial in Australia evaluated an automated retinal photography and AI screening system in primary care settings. With 414 participants, the AI achieved an impressive AUROC of 0.80, sensitivity of 65%, and specificity of 94.6%. Notably, 11.2% of previously undiagnosed patients were identified as having referable glaucoma. The study highlights the potential for AI to enhance early glaucoma detection, improve patient outcomes, and streamline referrals in general practice. This innovative approach could revolutionize eye care accessibility and efficiency. nn#HealthcareIT #AIinHealthcare #Glaucoma #DigitalHealth #Ophthalmology #PrimaryCare #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 24447, "completion_tokens": 143, "total_tokens": 24590, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 24447
Completion Tokens - 143
Total Tokens - 24590

US health systems receive up to 200 M monthly website visitors. Connecting patient searches to the appropriate workflow requires accurate classification. A dataset of searches on ~15 US health system websites was annotated, characterized, and...

Unlocking the power of AI in healthcare, our study explores LLM-enabled classification of patient self-reported symptoms across U.S. health systems. With a dataset of over 48,000 free-text inputs, we developed a deep neural network that achieved impressive classification accuracy. This model not only enhances patient navigation but also integrates seamlessly with existing workflows, demonstrating the potential of AI to transform healthcare delivery. The findings highlight the importance of precise symptom classification in improving patient outcomes and operational efficiency.#HealthcareIT #AIinHealthcare #NaturalLanguageProcessing #PatientExperience #DigitalHealth #HealthTech #MachineLearning

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoZSz1JNCzJbaXDpEVOee7PXk6coY", "object": "chat.completion", "created": 1751392433, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the power of AI in healthcare, our study explores LLM-enabled classification of patient self-reported symptoms across U.S. health systems. With a dataset of over 48,000 free-text inputs, we developed a deep neural network that achieved impressive classification accuracy. This model not only enhances patient navigation but also integrates seamlessly with existing workflows, demonstrating the potential of AI to transform healthcare delivery. The findings highlight the importance of precise symptom classification in improving patient outcomes and operational efficiency. nn#HealthcareIT #AIinHealthcare #NaturalLanguageProcessing #PatientExperience #DigitalHealth #HealthTech #MachineLearning", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28223, "completion_tokens": 120, "total_tokens": 28343, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 28223
Completion Tokens - 120
Total Tokens - 28343

Over the past two decades, nearly 200 rural hospitals have closed in the U.S., with an additional 700 at risk of closing soon. And with big cuts to Medicaid on the agenda in Congress,...

In a time when rural hospitals face unprecedented challenges, Dr. Jennifer J. Bryan of Hattiesburg Clinic highlights the transformative power of AI in healthcare. By adopting Suki's AI assistant, she has alleviated administrative burdens, allowing more time for patient care and enhancing documentation quality. This technology not only improves clinician efficiency but also addresses the pressing issue of burnout, ultimately fostering better patient-provider relationships. As we navigate the evolving landscape of healthcare, prioritizing ethical AI deployment is crucial for ensuring safety and improving care quality.#HealthcareIT #AIinHealthcare #RuralHealth #ClinicianBurnout #PatientCare #HealthTech #DigitalHealth

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoYqvNjMuctJLV6GdeIRmVUb7cw3X", "object": "chat.completion", "created": 1751390073, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a time when rural hospitals face unprecedented challenges, Dr. Jennifer J. Bryan of Hattiesburg Clinic highlights the transformative power of AI in healthcare. By adopting Suki's AI assistant, she has alleviated administrative burdens, allowing more time for patient care and enhancing documentation quality. This technology not only improves clinician efficiency but also addresses the pressing issue of burnout, ultimately fostering better patient-provider relationships. As we navigate the evolving landscape of healthcare, prioritizing ethical AI deployment is crucial for ensuring safety and improving care quality. nn#HealthcareIT #AIinHealthcare #RuralHealth #ClinicianBurnout #PatientCare #HealthTech #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1964, "completion_tokens": 131, "total_tokens": 2095, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 1964
Completion Tokens - 131
Total Tokens - 2095

A bankruptcy judge has approved the sale of 23andMe to the nonprofit TTAM Research Institute, owned by cofounder and former CEO of 23andMe Anne Wojcicki, thereby ensuring that the DNA of the company's customers will...

A bankruptcy judge has approved the sale of 23andMe to TTAM Research Institute, safeguarding customer DNA from third-party transfer amid ongoing privacy concerns. This $305 million deal follows 23andMe's Chapter 11 filing and a lawsuit from multiple states aiming to protect genetic data. While some states support the sale, others, including California, oppose it due to compliance issues with genetic privacy laws. This move comes on the heels of a significant data breach affecting seven million users, highlighting the critical importance of data security in healthcare IT.#HealthcareIT #DataPrivacy #GeneticData #Cybersecurity #HealthTech #23andMe #DigitalHealth

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BoYiu4gr4evELECibUwjAe2kMnEhs", "object": "chat.completion", "created": 1751389576, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A bankruptcy judge has approved the sale of 23andMe to TTAM Research Institute, safeguarding customer DNA from third-party transfer amid ongoing privacy concerns. This $305 million deal follows 23andMe's Chapter 11 filing and a lawsuit from multiple states aiming to protect genetic data. While some states support the sale, others, including California, oppose it due to compliance issues with genetic privacy laws. This move comes on the heels of a significant data breach affecting seven million users, highlighting the critical importance of data security in healthcare IT. nn#HealthcareIT #DataPrivacy #GeneticData #Cybersecurity #HealthTech #23andMe #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 764, "completion_tokens": 131, "total_tokens": 895, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 764
Completion Tokens - 131
Total Tokens - 895

What You Should Know: – John Snow Labs, a prominent AI company in the healthcare sector, today announced the launch of Martlet.ai, a new healthcare AI company dedicated to redefining how payers and providers approach...

Exciting news in healthcare AI! John Snow Labs has launched Martlet.ai, a spinoff focused on revolutionizing Hierarchical Condition Category (HCC) coding for payers and providers. This innovative platform addresses critical challenges in patient risk adjustment, especially with upcoming CMS Medicare Advantage rate hikes. Martlet.ai’s advanced HCC engine, developed by industry experts, ensures unparalleled accuracy and compliance, streamlining workflows and enhancing reimbursement structures. WVU Medicine is already experiencing success with improved HCC code accuracy and reduced manual review time. Martlet.ai empowers healthcare organizations to take control of their coding processes effectively!#HealthcareAI #HCCCoding #RiskAdjustment #ValueBasedCare #HealthTech #Innovation #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BocU5jvw5vKEtb3BAOKkaqb5vmtD0", "object": "chat.completion", "created": 1751404033, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare AI! John Snow Labs has launched Martlet.ai, a spinoff focused on revolutionizing Hierarchical Condition Category (HCC) coding for payers and providers. This innovative platform addresses critical challenges in patient risk adjustment, especially with upcoming CMS Medicare Advantage rate hikes. Martlet.ai’s advanced HCC engine, developed by industry experts, ensures unparalleled accuracy and compliance, streamlining workflows and enhancing reimbursement structures. WVU Medicine is already experiencing success with improved HCC code accuracy and reduced manual review time. Martlet.ai empowers healthcare organizations to take control of their coding processes effectively! nn#HealthcareAI #HCCCoding #RiskAdjustment #ValueBasedCare #HealthTech #Innovation #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 657, "completion_tokens": 144, "total_tokens": 801, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": "fp_34a54ae93c" }

Prompt Tokens - 657
Completion Tokens - 144
Total Tokens - 801