ChatGPT Summaries

Enhanced Safety Gear for Medical Workers To build the system, the team recorded clinicians with head-mounted GoPro cameras, creating a data set of thousands of medication preparation sequences. Michaelsen explains the GoPro’s wide field of view...

Harnessing AI and video technology, such as smart glasses, can significantly reduce medical errors in healthcare settings. Researchers from the University of Washington demonstrated that AI-enabled wearable cameras can achieve 99.6% sensitivity in detecting medication errors during preparation. This innovative approach not only enhances safety but also streamlines documentation and surgical assistance, allowing clinicians to focus more on patient care. The potential applications of AI-powered smart glasses extend to diagnostics, training, and real-time guidance, revolutionizing how healthcare professionals operate.#HealthcareIT #AIinHealthcare #MedicalInnovation #PatientSafety #DigitalHealth #SmartGlasses #HealthTech

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 - 5153
Completion Tokens - 123
Total Tokens - 5276

New uses for Google Health AI aim to democratize patient care | Healthcare IT News Skip to main content...

Google Health AI is transforming patient care by leveraging advanced technology to enhance accessibility and equity in healthcare. By integrating AI tools, healthcare providers can streamline diagnostics, personalize treatment plans, and improve patient engagement. This initiative not only aims to reduce disparities in healthcare access but also empowers patients with valuable insights into their health. As we embrace these innovations, the future of patient care looks brighter and more inclusive.#HealthcareIT #HealthTech #AIinHealthcare #PatientCare #DigitalHealth #HealthEquity #InnovationInHealthcare

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-CRPkeloAvd2IiOWmGg08EQV7OnNfz", "object": "chat.completion", "created": 1760649880, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Google Health AI is transforming patient care by leveraging advanced technology to enhance accessibility and equity in healthcare. By integrating AI tools, healthcare providers can streamline diagnostics, personalize treatment plans, and improve patient engagement. This initiative not only aims to reduce disparities in healthcare access but also empowers patients with valuable insights into their health. As we embrace these innovations, the future of patient care looks brighter and more inclusive. nn#HealthcareIT #HealthTech #AIinHealthcare #PatientCare #DigitalHealth #HealthEquity #InnovationInHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 280, "completion_tokens": 103, "total_tokens": 383, "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_560af6e559" }

Prompt Tokens - 280
Completion Tokens - 103
Total Tokens - 383

The collaboration gives tech startups the ability to demonstrate value directly with clinicians.Cleveland Clinic and Silicon Valley investor Khosla Ventures are collaborating to provide a direct health system pipeline to emerging technologies in areas...

Cleveland Clinic is partnering with Khosla Ventures to accelerate health tech innovation, providing startups direct access to clinicians for testing and validation. This collaboration focuses on areas like AI, digital health, and next-gen therapeutics, aiming to enhance patient outcomes and streamline workflows. By leveraging Cleveland Clinic's clinical expertise and Khosla's venture network, they plan to incubate new companies and develop impactful healthcare solutions. As Dr. Hal Paz notes, "AI is the most transformative technology of our lifetime," underscoring the potential for groundbreaking advancements in healthcare.#HealthTech #Innovation #AI #DigitalHealth #HealthcareIT #PatientOutcomes #Startups

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-CROXxSskquVDKkhgYLeL0oNIH0jnv", "object": "chat.completion", "created": 1760645249, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Cleveland Clinic is partnering with Khosla Ventures to accelerate health tech innovation, providing startups direct access to clinicians for testing and validation. This collaboration focuses on areas like AI, digital health, and next-gen therapeutics, aiming to enhance patient outcomes and streamline workflows. By leveraging Cleveland Clinic's clinical expertise and Khosla's venture network, they plan to incubate new companies and develop impactful healthcare solutions. As Dr. Hal Paz notes, "AI is the most transformative technology of our lifetime," underscoring the potential for groundbreaking advancements in healthcare. nn#HealthTech #Innovation #AI #DigitalHealth #HealthcareIT #PatientOutcomes #Startups", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 829, "completion_tokens": 131, "total_tokens": 960, "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_560af6e559" }

Prompt Tokens - 829
Completion Tokens - 131
Total Tokens - 960

Lila Sciences raises $350M to build scientific superintelligence platform | Mobi Health News Skip to main content...

Exciting developments in healthcare technology! Lila Sciences has successfully raised $350 million to advance its scientific superintelligence platform. This funding aims to revolutionize data analysis and decision-making in healthcare, enhancing research and patient outcomes. By leveraging cutting-edge AI, Lila Sciences is poised to transform how we approach scientific challenges, making significant strides toward precision medicine. This investment underscores the growing importance of innovative technology in healthcare.#HealthcareIT #AIinHealthcare #PrecisionMedicine #HealthTech #Innovation #DataScience #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-CRM3dfbzHT8FkIhemPhR3pE2BJ6N2", "object": "chat.completion", "created": 1760635681, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in healthcare technology! Lila Sciences has successfully raised $350 million to advance its scientific superintelligence platform. This funding aims to revolutionize data analysis and decision-making in healthcare, enhancing research and patient outcomes. By leveraging cutting-edge AI, Lila Sciences is poised to transform how we approach scientific challenges, making significant strides toward precision medicine. This investment underscores the growing importance of innovative technology in healthcare. nn#HealthcareIT #AIinHealthcare #PrecisionMedicine #HealthTech #Innovation #DataScience #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 285, "completion_tokens": 105, "total_tokens": 390, "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_560af6e559" }

Prompt Tokens - 285
Completion Tokens - 105
Total Tokens - 390

Artificial intelligence (AI) tools for radiology are commonly unmonitored once deployed. The lack of real-time case-by-case assessments of AI prediction confidence requires users to independently distinguish between trustworthy and unreliable AI predictions, which increases...

Exciting advancements in AI for radiology! The Ensembled Monitoring Model (EMM) offers a real-time assessment framework for intracranial hemorrhage detection, enhancing AI prediction reliability without needing access to internal model components. By leveraging multiple sub-models, EMM categorizes prediction confidence, guiding clinicians in decision-making and reducing cognitive burden. This innovative approach not only improves diagnostic accuracy but also fosters trust in AI systems. As we integrate AI into clinical workflows, tools like EMM are essential for ensuring quality and enhancing patient outcomes.#HealthcareIT #AIinMedicine #Radiology #MachineLearning #ClinicalAI #PatientSafety #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-CRLo5PklXEdmKhDoXC7nEkrsyfxq2", "object": "chat.completion", "created": 1760634717, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in AI for radiology! The Ensembled Monitoring Model (EMM) offers a real-time assessment framework for intracranial hemorrhage detection, enhancing AI prediction reliability without needing access to internal model components. By leveraging multiple sub-models, EMM categorizes prediction confidence, guiding clinicians in decision-making and reducing cognitive burden. This innovative approach not only improves diagnostic accuracy but also fosters trust in AI systems. As we integrate AI into clinical workflows, tools like EMM are essential for ensuring quality and enhancing patient outcomes. nn#HealthcareIT #AIinMedicine #Radiology #MachineLearning #ClinicalAI #PatientSafety #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29001, "completion_tokens": 128, "total_tokens": 29129, "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_560af6e559" }

Prompt Tokens - 29001
Completion Tokens - 128
Total Tokens - 29129

We evaluated the ability of three leading LLMs (GPT-4o, Gemini 2.0 Experimental, and Claude 3.5 Sonnet) to recognize human facial expression using the NimStim dataset. GPT and Gemini matched or exceeded human performance, especially...

In a recent study, we evaluated the performance of leading large language models (LLMs) like GPT-4o, Gemini 2.0, and Claude 3.5 in recognizing human facial emotions using the NimStim dataset. The findings revealed that GPT-4o and Gemini matched or surpassed human accuracy, particularly for calm and surprise emotions, while often misclassifying fear. This research underscores the socioemotional capabilities of LLMs and their potential applications in healthcare, especially for early diagnosis and monitoring of mental health conditions. As we integrate AI into clinical settings, understanding these models' strengths and limitations is crucial.#HealthcareIT #AIinHealthcare #MentalHealth #FacialRecognition #DigitalHealth #MachineLearning #EmotionalAI

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-CRLnS9YlseqrRAWjTV4lszSloirFt", "object": "chat.completion", "created": 1760634678, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent study, we evaluated the performance of leading large language models (LLMs) like GPT-4o, Gemini 2.0, and Claude 3.5 in recognizing human facial emotions using the NimStim dataset. The findings revealed that GPT-4o and Gemini matched or surpassed human accuracy, particularly for calm and surprise emotions, while often misclassifying fear. This research underscores the socioemotional capabilities of LLMs and their potential applications in healthcare, especially for early diagnosis and monitoring of mental health conditions. As we integrate AI into clinical settings, understanding these models' strengths and limitations is crucial. nn#HealthcareIT #AIinHealthcare #MentalHealth #FacialRecognition #DigitalHealth #MachineLearning #EmotionalAI", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 19353, "completion_tokens": 150, "total_tokens": 19503, "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_560af6e559" }

Prompt Tokens - 19353
Completion Tokens - 150
Total Tokens - 19503

MD Integration scores $77M and more digital health funding | Mobi Health News Skip to main content...

Exciting times in digital health! MD Integration has successfully secured $77 million in funding, highlighting the growing investment in healthcare technology. This influx of capital underscores the increasing demand for innovative solutions that enhance patient care and streamline operations. As we witness this trend, it's crucial for healthcare IT professionals to stay ahead of the curve and leverage these advancements to improve outcomes. Let’s continue to drive transformation in our industry! #DigitalHealth #HealthTech #HealthcareIT #Innovation #Funding #PatientCare #HealthIT

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-CRM2yYuVwOXUKWNyu3kvuWFOYiMyD", "object": "chat.completion", "created": 1760635640, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting times in digital health! MD Integration has successfully secured $77 million in funding, highlighting the growing investment in healthcare technology. This influx of capital underscores the increasing demand for innovative solutions that enhance patient care and streamline operations. As we witness this trend, it's crucial for healthcare IT professionals to stay ahead of the curve and leverage these advancements to improve outcomes. Let’s continue to drive transformation in our industry! #DigitalHealth #HealthTech #HealthcareIT #Innovation #Funding #PatientCare #HealthIT", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 279, "completion_tokens": 100, "total_tokens": 379, "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_560af6e559" }

Prompt Tokens - 279
Completion Tokens - 100
Total Tokens - 379

What You Should Know: – GE HealthCare and UC San Diego Health today announced a strategic enterprise collaboration, dubbed a “Care Alliance,” focused on integrating advanced digital innovation and medical technologies across the San Diego...

Exciting news in healthcare innovation! GE HealthCare and UC San Diego Health have launched a 14-year "Care Alliance" to transform care delivery through advanced digital solutions and medical technologies. This partnership aims to enhance patient outcomes by focusing on service line excellence, AI-driven solutions, and an optimized technology program. By integrating next-generation imaging and theranostics, they are set to revolutionize cancer care. With a commitment to operational efficiency, this collaboration promises reduced downtime and improved access to innovative technology for clinicians. Together, they are paving the way for a future of personalized, high-quality healthcare.#HealthcareInnovation #DigitalHealth #AIinHealthcare #PatientOutcomes #ValueBasedCare #HealthTech #MedicalImaging

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-CROISI4ofsRYach4hniD7itPVFXUb", "object": "chat.completion", "created": 1760644288, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare innovation! GE HealthCare and UC San Diego Health have launched a 14-year "Care Alliance" to transform care delivery through advanced digital solutions and medical technologies. This partnership aims to enhance patient outcomes by focusing on service line excellence, AI-driven solutions, and an optimized technology program. By integrating next-generation imaging and theranostics, they are set to revolutionize cancer care. With a commitment to operational efficiency, this collaboration promises reduced downtime and improved access to innovative technology for clinicians. Together, they are paving the way for a future of personalized, high-quality healthcare. nn#HealthcareInnovation #DigitalHealth #AIinHealthcare #PatientOutcomes #ValueBasedCare #HealthTech #MedicalImaging", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 641, "completion_tokens": 144, "total_tokens": 785, "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_560af6e559" }

Prompt Tokens - 641
Completion Tokens - 144
Total Tokens - 785

At Nicklaus Children's, VR helps reduce pain and anxiety | Healthcare IT News Skip to main content...

At Nicklaus Children's Hospital, innovative use of virtual reality (VR) is transforming pediatric care by effectively reducing pain and anxiety in young patients. This cutting-edge technology not only distracts children during medical procedures but also fosters a more relaxed environment, enhancing overall patient experience. As healthcare IT professionals, we must explore how integrating VR can revolutionize patient care strategies and improve outcomes. The future of healthcare is here, and it's immersive!#HealthcareIT #VirtualReality #PediatricCare #PatientExperience #InnovationInHealthcare #DigitalHealth #HealthTech

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-CRLQr8ZA6ionUk0WFHDqFFVCunGTS", "object": "chat.completion", "created": 1760633277, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "At Nicklaus Children's Hospital, innovative use of virtual reality (VR) is transforming pediatric care by effectively reducing pain and anxiety in young patients. This cutting-edge technology not only distracts children during medical procedures but also fosters a more relaxed environment, enhancing overall patient experience. As healthcare IT professionals, we must explore how integrating VR can revolutionize patient care strategies and improve outcomes. The future of healthcare is here, and it's immersive! nn#HealthcareIT #VirtualReality #PediatricCare #PatientExperience #InnovationInHealthcare #DigitalHealth #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 282, "completion_tokens": 109, "total_tokens": 391, "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_560af6e559" }

Prompt Tokens - 282
Completion Tokens - 109
Total Tokens - 391

What You Should Know:–       Brook.ai is making remote care an integral part of U.S. healthcare, extending continuity of care outside the traditional practice setting and delivering measurable improvements in patient outcomes. –       The company’s success has...

Brook.ai is revolutionizing remote care in the U.S. healthcare system with a $28M Series B funding led by UMass Memorial Health and Morningside. By integrating AI technology with human expertise, Brook delivers continuous, personalized care, achieving remarkable results like a 90% reduction in CHF readmissions. Their “always-on” model enhances patient engagement and supports health systems in shifting to proactive care without increasing clinician workload. As healthcare moves towards value-based reimbursement, Brook's scalable solutions address workforce shortages and chronic disease management, making it a pivotal player in the future of healthcare.#HealthcareIT #RemoteCare #AIinHealthcare #PatientEngagement #ValueBasedCare #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-CROMJ8rd4YIcwpi7AGTKPF2gqbxIA", "object": "chat.completion", "created": 1760644527, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Brook.ai is revolutionizing remote care in the U.S. healthcare system with a $28M Series B funding led by UMass Memorial Health and Morningside. By integrating AI technology with human expertise, Brook delivers continuous, personalized care, achieving remarkable results like a 90% reduction in CHF readmissions. Their “always-on” model enhances patient engagement and supports health systems in shifting to proactive care without increasing clinician workload. As healthcare moves towards value-based reimbursement, Brook's scalable solutions address workforce shortages and chronic disease management, making it a pivotal player in the future of healthcare. nn#HealthcareIT #RemoteCare #AIinHealthcare #PatientEngagement #ValueBasedCare #HealthTech #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 764, "completion_tokens": 142, "total_tokens": 906, "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_560af6e559" }

Prompt Tokens - 764
Completion Tokens - 142
Total Tokens - 906