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athenahealth Launches AI-Powered Clinical Encounter System

DistilINFO Hospital IT - (Thursday November 6, 2025) - AI/ Daily Reads/ DistilINFO Hospital IT

Introduction to athenahealth’s AI Innovation Boston-based healthcare technology leader athenahealth has unveiled a groundbreaking AI-native clinical encounter system that promises to revolutionize how physicians document patient visits and make clinical decisions. This innovative solution leverages...

athenahealth is set to transform healthcare with its AI-native clinical encounter system, leveraging ambient listening and generative AI to streamline documentation and enhance patient care. The innovative athenaAmbient digital scribe captures real-time conversations, generating accurate clinical notes and insights, allowing physicians to focus on patient interactions rather than administrative tasks. This system not only reduces documentation burdens but also identifies care gaps and accelerates reimbursement processes. As testing begins in 2026, this revolutionary approach promises to redefine EHR systems, making technology an invisible partner in healthcare.#HealthcareIT #AIinHealthcare #DigitalHealth #EHR #ClinicalInnovation #HealthTech #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-CYpoT0uPdVcpzEc6p1PFpdTh9d0HP", "object": "chat.completion", "created": 1762418357, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "athenahealth is set to transform healthcare with its AI-native clinical encounter system, leveraging ambient listening and generative AI to streamline documentation and enhance patient care. The innovative athenaAmbient digital scribe captures real-time conversations, generating accurate clinical notes and insights, allowing physicians to focus on patient interactions rather than administrative tasks. This system not only reduces documentation burdens but also identifies care gaps and accelerates reimbursement processes. As testing begins in 2026, this revolutionary approach promises to redefine EHR systems, making technology an invisible partner in healthcare. nn#HealthcareIT #AIinHealthcare #DigitalHealth #EHR #ClinicalInnovation #HealthTech #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1411, "completion_tokens": 130, "total_tokens": 1541, "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 - 1411
Completion Tokens - 130
Total Tokens - 1541

 

Mount Sinai Adopts Microsoft Dragon AI Copilot

DistilINFO Hospital IT - (Thursday November 6, 2025) - AI/ Daily Reads/ DistilINFO Hospital IT

Introduction Mount Sinai Health System, one of New York City’s premier healthcare institutions, is embracing artificial intelligence to revolutionize clinical documentation. The health system has announced its adoption of Microsoft’s Dragon Copilot, a cutting-edge AI-powered...

Mount Sinai Health System is leading the charge in healthcare innovation by adopting Microsoft’s Dragon AI Copilot to transform clinical documentation. This advanced tool streamlines workflows through voice-to-text capabilities, significantly reducing the administrative burden on clinicians. By integrating seamlessly with existing EHR systems, Dragon Copilot allows healthcare professionals to focus more on patient care, potentially cutting documentation time by 50%. With a phased rollout strategy and comprehensive training, Mount Sinai is setting a benchmark for AI implementation in healthcare. This initiative not only enhances efficiency but also improves clinician satisfaction and patient care quality. #HealthcareIT #AIinHealthcare #DigitalTransformation #ClinicalDocumentation #EHR #HealthTech #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-CYsUajn00mpEEV0BtfolfaFY3zt7B", "object": "chat.completion", "created": 1762428656, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Mount Sinai Health System is leading the charge in healthcare innovation by adopting Microsoft’s Dragon AI Copilot to transform clinical documentation. This advanced tool streamlines workflows through voice-to-text capabilities, significantly reducing the administrative burden on clinicians. By integrating seamlessly with existing EHR systems, Dragon Copilot allows healthcare professionals to focus more on patient care, potentially cutting documentation time by 50%. With a phased rollout strategy and comprehensive training, Mount Sinai is setting a benchmark for AI implementation in healthcare. This initiative not only enhances efficiency but also improves clinician satisfaction and patient care quality. #HealthcareIT #AIinHealthcare #DigitalTransformation #ClinicalDocumentation #EHR #HealthTech #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1082, "completion_tokens": 132, "total_tokens": 1214, "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 - 1082
Completion Tokens - 132
Total Tokens - 1214

 

Taiwanese-inspired smart ward cuts Malaysian hospital’s lab alert response by 16%

Healthcare IT news - (Thursday November 6, 2025) - Frequent Updates/ Healthcare IT News

Taiwanese-inspired smart ward cuts Malaysian hospital's lab alert response by 16% | Healthcare IT News Skip to main content...

A Taiwanese-inspired smart ward has successfully reduced lab alert response times by 16% in a Malaysian hospital, showcasing the power of innovative healthcare IT solutions. This transformation highlights the importance of integrating technology to enhance patient care and operational efficiency. By leveraging smart ward concepts, healthcare facilities can significantly improve their response mechanisms, ultimately benefiting patient outcomes. As we continue to embrace digital advancements in healthcare, this case serves as a compelling example of how technology can drive meaningful change.#HealthcareIT #SmartWards #DigitalHealth #PatientCare #Innovation #HealthTech #Efficiency

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-CYpG3Gr1esqoNREZpACTDfW27D3bq", "object": "chat.completion", "created": 1762416223, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A Taiwanese-inspired smart ward has successfully reduced lab alert response times by 16% in a Malaysian hospital, showcasing the power of innovative healthcare IT solutions. This transformation highlights the importance of integrating technology to enhance patient care and operational efficiency. By leveraging smart ward concepts, healthcare facilities can significantly improve their response mechanisms, ultimately benefiting patient outcomes. As we continue to embrace digital advancements in healthcare, this case serves as a compelling example of how technology can drive meaningful change. nn#HealthcareIT #SmartWards #DigitalHealth #PatientCare #Innovation #HealthTech #Efficiency", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 288, "completion_tokens": 112, "total_tokens": 400, "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 - 288
Completion Tokens - 112
Total Tokens - 400

 

Filmmaker Satori Shakoor Joins Halle Berry and Gov. Whitmer in Shaping the Menopause Movement

eHealth Radio Network - (Thursday November 6, 2025) - eHealth Radio Network/ Podcasts

 Satori Shakoor, storyteller, performer, and filmmaker — creator of the stand-up storytelling concert film "Confessions of a Menopausal Femme Fatale" joins eHealth Radio and the Health News and Menopause Channels. She’s not only sharing her own...

Satori Shakoor, a dynamic storyteller and filmmaker, is reshaping the menopause narrative alongside influential figures like Halle Berry and Governor Gretchen Whitmer. Her stand-up storytelling concert film, "Confessions of a Menopausal Femme Fatale," highlights her personal journey through menopause while fostering vital conversations about women's midlife health. Shakoor's partnerships with organizations like AARP and the Michigan Women’s Commission amplify these discussions, aiming for a cultural shift in how menopause is perceived. Her work empowers women to engage openly with their healthcare providers about menopause, transforming stigma into laughter and understanding.#MenopauseMovement #WomensHealth #Storytelling #HealthcareIT #Empowerment #CulturalShift #MidlifeHealth

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-CYhtB9LZDx9Ih30Dg16qhKtFwpJF1", "object": "chat.completion", "created": 1762387897, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Satori Shakoor, a dynamic storyteller and filmmaker, is reshaping the menopause narrative alongside influential figures like Halle Berry and Governor Gretchen Whitmer. Her stand-up storytelling concert film, "Confessions of a Menopausal Femme Fatale," highlights her personal journey through menopause while fostering vital conversations about women's midlife health. Shakoor's partnerships with organizations like AARP and the Michigan Women’s Commission amplify these discussions, aiming for a cultural shift in how menopause is perceived. Her work empowers women to engage openly with their healthcare providers about menopause, transforming stigma into laughter and understanding. nn#MenopauseMovement #WomensHealth #Storytelling #HealthcareIT #Empowerment #CulturalShift #MidlifeHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1140, "completion_tokens": 145, "total_tokens": 1285, "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 - 1140
Completion Tokens - 145
Total Tokens - 1285

 

Evaluating clinical AI summaries with large language models as judges

npj Digital Medicine - (Thursday November 6, 2025) - Frequent Updates/ npj Digital Medicine

Electronic Health Records (EHRs) contain vast clinical data that are difficult for providers to synthesize. Generative AI with Large Language Models (LLMs) can summarize records to reduce cognitive burden, but ensuring accuracy requires reliable...

Harnessing the power of Large Language Models (LLMs) as evaluators, a groundbreaking study demonstrates their potential to automate the assessment of clinical AI-generated summaries. The LLM-as-a-Judge framework showed impressive inter-rater reliability, achieving an intraclass correlation coefficient of 0.818, closely aligning with human evaluators. This innovation not only reduces the time for evaluations from 600 seconds to 22 seconds but also enhances accuracy in clinical documentation. By integrating LLMs into healthcare workflows, we can significantly streamline the evaluation process, ensuring safe and effective AI applications in clinical settings.#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #ClinicalAI #MachineLearning #EHR

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-CYfNd0xjW4pE04UcwwXDHzREpK9Xq", "object": "chat.completion", "created": 1762378253, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of Large Language Models (LLMs) as evaluators, a groundbreaking study demonstrates their potential to automate the assessment of clinical AI-generated summaries. The LLM-as-a-Judge framework showed impressive inter-rater reliability, achieving an intraclass correlation coefficient of 0.818, closely aligning with human evaluators. This innovation not only reduces the time for evaluations from 600 seconds to 22 seconds but also enhances accuracy in clinical documentation. By integrating LLMs into healthcare workflows, we can significantly streamline the evaluation process, ensuring safe and effective AI applications in clinical settings. nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #ClinicalAI #MachineLearning #EHR", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 30401, "completion_tokens": 141, "total_tokens": 30542, "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 - 30401
Completion Tokens - 141
Total Tokens - 30542

 

LeadingAge 2025: Improving the Flow of Data in Senior Care

HealthTech Magazine - (Wednesday November 5, 2025) - Frequent Updates/ HealthTech Magazine

Healthcare providers in the U.S. are taking steps toward a more comprehensive approach to care delivery that helps patients throughout a continuum of care. Ideally, caregivers can get a clearer picture into someone’s readmission journey,...

At LeadingAge 2025, industry leaders emphasized the critical need for enhanced data sharing in senior care. With 93% of older adults managing chronic conditions, effective data flow across healthcare settings is essential for improving patient outcomes. Initiatives like California’s Data Exchange Framework are paving the way for better care coordination, enabling caregivers to access comprehensive patient histories beyond hospital stays. However, challenges like interoperability and data quality persist. As we adopt EHRs, there's immense potential to leverage this data for streamlined processes and improved care plans. Let's harness technology to create a more connected senior care ecosystem.#HealthcareIT #DataExchange #SeniorCare #Interoperability #EHR #PatientCare #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-CYf1JtEga7rE0hr9bxjaVqhAW8d80", "object": "chat.completion", "created": 1762376869, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "At LeadingAge 2025, industry leaders emphasized the critical need for enhanced data sharing in senior care. With 93% of older adults managing chronic conditions, effective data flow across healthcare settings is essential for improving patient outcomes. Initiatives like California’s Data Exchange Framework are paving the way for better care coordination, enabling caregivers to access comprehensive patient histories beyond hospital stays. However, challenges like interoperability and data quality persist. As we adopt EHRs, there's immense potential to leverage this data for streamlined processes and improved care plans. Let's harness technology to create a more connected senior care ecosystem. nn#HealthcareIT #DataExchange #SeniorCare #Interoperability #EHR #PatientCare #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5564, "completion_tokens": 140, "total_tokens": 5704, "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 - 5564
Completion Tokens - 140
Total Tokens - 5704

 

Q&A: Former CDC Director Dr. Rochelle Walensky on AI use in healthcare

MobiHealthNews - (Wednesday November 5, 2025) - Frequent Updates/ MobiHealthNews

Q&A: Former CDC Director Dr. Rochelle Walensky on AI use in healthcare | Mobi Health News Skip to main content...

In a recent discussion, former CDC Director Dr. Rochelle Walensky emphasized the transformative potential of AI in healthcare. She highlighted AI's ability to enhance patient outcomes, streamline operations, and support clinical decision-making. However, she also cautioned about the ethical implications and the importance of maintaining human oversight. As healthcare IT professionals, we must navigate these advancements responsibly, ensuring that technology complements rather than replaces the human touch in patient care.#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #Innovation #EthicsInAI

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-CYfi5R0NgnrHCkoyOe9See1cxTiMN", "object": "chat.completion", "created": 1762379521, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent discussion, former CDC Director Dr. Rochelle Walensky emphasized the transformative potential of AI in healthcare. She highlighted AI's ability to enhance patient outcomes, streamline operations, and support clinical decision-making. However, she also cautioned about the ethical implications and the importance of maintaining human oversight. As healthcare IT professionals, we must navigate these advancements responsibly, ensuring that technology complements rather than replaces the human touch in patient care. nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #Innovation #EthicsInAI", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 293, "completion_tokens": 109, "total_tokens": 402, "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 - 293
Completion Tokens - 109
Total Tokens - 402

 

Q&A: Former CDC director Rochelle Walensky on AI use in healthcare

MobiHealthNews - (Wednesday November 5, 2025) - Frequent Updates/ MobiHealthNews

Q&A: Former CDC director Rochelle Walensky on AI use in healthcare | Mobi Health News Skip to main content...

In a recent discussion, former CDC director Rochelle Walensky emphasized the transformative potential of AI in healthcare. She highlighted how AI can enhance patient outcomes, streamline operations, and support public health initiatives. Walensky also addressed concerns regarding data privacy and the importance of ethical AI deployment. As healthcare IT professionals, we must navigate these challenges while harnessing AI's capabilities to innovate and improve care delivery. The future of healthcare is digital, and AI will play a pivotal role in shaping it.#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #Innovation #PublicHealth #DataPrivacy

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-CYdmbTFHIrLGuF5rlQNfPX4MhZMnE", "object": "chat.completion", "created": 1762372113, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent discussion, former CDC director Rochelle Walensky emphasized the transformative potential of AI in healthcare. She highlighted how AI can enhance patient outcomes, streamline operations, and support public health initiatives. Walensky also addressed concerns regarding data privacy and the importance of ethical AI deployment. As healthcare IT professionals, we must navigate these challenges while harnessing AI's capabilities to innovate and improve care delivery. The future of healthcare is digital, and AI will play a pivotal role in shaping it. nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #Innovation #PublicHealth #DataPrivacy", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 289, "completion_tokens": 117, "total_tokens": 406, "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 - 289
Completion Tokens - 117
Total Tokens - 406

 

Shifting from reactive to proactive healthcare with AI

Healthcare IT news - (Wednesday November 5, 2025) - Frequent Updates/ Healthcare IT News

Shifting from reactive to proactive healthcare with AI | Healthcare IT News Skip to main content...

Embracing AI in healthcare is revolutionizing our approach, shifting from reactive to proactive strategies. By leveraging advanced analytics and predictive modeling, healthcare providers can anticipate patient needs, enhance outcomes, and optimize resource allocation. This transformation not only improves patient care but also reduces costs and increases efficiency. As we integrate AI technologies, the focus must remain on ethical considerations and data security to build trust and ensure equitable access. The future of healthcare lies in our ability to harness AI for better, more proactive patient management.#HealthcareIT #AIinHealthcare #ProactiveCare #DigitalHealth #HealthTech #DataAnalytics #PatientOutcomes

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-CYeQyRGsBwAKIw38fRdKMcnno6Oys", "object": "chat.completion", "created": 1762374616, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Embracing AI in healthcare is revolutionizing our approach, shifting from reactive to proactive strategies. By leveraging advanced analytics and predictive modeling, healthcare providers can anticipate patient needs, enhance outcomes, and optimize resource allocation. This transformation not only improves patient care but also reduces costs and increases efficiency. As we integrate AI technologies, the focus must remain on ethical considerations and data security to build trust and ensure equitable access. The future of healthcare lies in our ability to harness AI for better, more proactive patient management. nn#HealthcareIT #AIinHealthcare #ProactiveCare #DigitalHealth #HealthTech #DataAnalytics #PatientOutcomes", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 274, "completion_tokens": 125, "total_tokens": 399, "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 - 274
Completion Tokens - 125
Total Tokens - 399

 

Healthcare AI News 11/5/25

HIStalk - (Wednesday November 5, 2025) - Daily Reads/ HIStalk

NewsNearly all surveyed health system executives believe that digital and AI tools can help them move to more proactive care. Most see key areas as providing off-campus care, using CRM systems to schedule ongoing...

In a recent survey, nearly all health system executives see digital and AI tools as vital for proactive care, focusing on off-campus services, CRM systems, and AI health coaches. They aim to personalize patient experiences through connected devices and varied communication channels. Meanwhile, health insurers are adapting to AI in coding and billing to manage costs. Innovations include Hancock Health's AI-driven lab transport, Mayo Clinic's new platform for digital solutions, and Tala Health's AI agents to ease clinician workloads. Notably, AI predictions of patient deterioration are advancing, enhancing care delivery.#HealthcareIT #DigitalHealth #AIinHealthcare #HealthTech #PatientCare #Innovation #HealthData

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-CYeeGNBQNz7G9Za9xBpV2uN6WnVvL", "object": "chat.completion", "created": 1762375440, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent survey, nearly all health system executives see digital and AI tools as vital for proactive care, focusing on off-campus services, CRM systems, and AI health coaches. They aim to personalize patient experiences through connected devices and varied communication channels. Meanwhile, health insurers are adapting to AI in coding and billing to manage costs. Innovations include Hancock Health's AI-driven lab transport, Mayo Clinic's new platform for digital solutions, and Tala Health's AI agents to ease clinician workloads. Notably, AI predictions of patient deterioration are advancing, enhancing care delivery. nn#HealthcareIT #DigitalHealth #AIinHealthcare #HealthTech #PatientCare #Innovation #HealthData", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 705, "completion_tokens": 132, "total_tokens": 837, "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 - 705
Completion Tokens - 132
Total Tokens - 837

 

I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.