ChatGPT Summaries

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AI screened 50,000 eyes to create retinal maps

MobiHealthNews - (Wednesday February 12, 2025) - Frequent Updates/ MobiHealthNews

Walter and Eliza Hall Institute of Medical Research in Victoria, Australia led one of the largest eye studies in the world that used AI to analyse eye images of over 50,000 people to better understand the retina's...

Exciting advancements in retinal research are unfolding! The WEHI-led study analyzed eye images from over 50,000 individuals, revealing significant links between retinal thickness and diseases like multiple sclerosis and other neurodegenerative conditions. This groundbreaking work highlights the retina's role as a diagnostic biomarker, suggesting that routine eye imaging could transform disease screening and management. With the identification of 294 genes influencing retinal growth, the study paves the way for innovative non-invasive approaches in healthcare. The future of oculomics is bright!#HealthcareIT #AIinHealthcare #Oculomics #RetinalResearch #Biomarkers #NeurodegenerativeDiseases #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-AzvDoi85yx2t7cypmhY8kkx6JZLxB", "object": "chat.completion", "created": 1739321332, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in retinal research are unfolding! The WEHI-led study analyzed eye images from over 50,000 individuals, revealing significant links between retinal thickness and diseases like multiple sclerosis and other neurodegenerative conditions. This groundbreaking work highlights the retina's role as a diagnostic biomarker, suggesting that routine eye imaging could transform disease screening and management. With the identification of 294 genes influencing retinal growth, the study paves the way for innovative non-invasive approaches in healthcare. The future of oculomics is bright!nn#HealthcareIT #AIinHealthcare #Oculomics #RetinalResearch #Biomarkers #NeurodegenerativeDiseases #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 877, "completion_tokens": 133, "total_tokens": 1010, "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_72ed7ab54c" }

Prompt Tokens - 877
Completion Tokens - 133
Total Tokens - 1010

 

AI Scribes Have Proven Their Value — Where Do They Go from Here? – MedCity News

MedCity News - (Wednesday February 12, 2025) - AI/ Frequent Updates/ MedCity News

In the past couple years, AI-powered ambient documentation tools have done a commendable job at reducing clinicians’ administrative burden — and the initial success of these tools points to a bright future for AI...

AI scribes are revolutionizing healthcare by significantly reducing clinicians' administrative burdens and enhancing their connection with patients. As highlighted in a recent webinar, tools from companies like Microsoft and Suki are not only alleviating burnout but also improving the clinician-EMR relationship. Experts envision a future where AI tools optimize back-end functions like coding and billing, ultimately benefiting patient care and organizational efficiency. The journey of AI in healthcare is just beginning, and its potential to transform clinical workflows is immense.#HealthcareIT #AIScribes #DigitalHealth #HealthTech #ClinicalDocumentation #PatientCare #EMR

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-AzuJS46Ih5hlzuMUsEDxwtLpuqzwR", "object": "chat.completion", "created": 1739317838, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI scribes are revolutionizing healthcare by significantly reducing clinicians' administrative burdens and enhancing their connection with patients. As highlighted in a recent webinar, tools from companies like Microsoft and Suki are not only alleviating burnout but also improving the clinician-EMR relationship. Experts envision a future where AI tools optimize back-end functions like coding and billing, ultimately benefiting patient care and organizational efficiency. The journey of AI in healthcare is just beginning, and its potential to transform clinical workflows is immense. nn#HealthcareIT #AIScribes #DigitalHealth #HealthTech #ClinicalDocumentation #PatientCare #EMR", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 899, "completion_tokens": 119, "total_tokens": 1018, "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_72ed7ab54c" }

Prompt Tokens - 899
Completion Tokens - 119
Total Tokens - 1018

 

Nutanix Enterprise AI Is Transforming Healthcare AI Workloads

HealthTech Magazine - (Wednesday February 12, 2025) - AI/ Frequent Updates/ HealthTech Magazine

While many healthcare organizations are interested in adopting generative artificial intelligence tools, growing concerns around security, storage and cost leave some IT teams unsure where to begin.Nutanix offers healthcare organizations a streamlined, scalable path...

Nutanix Enterprise AI is revolutionizing healthcare AI workloads by simplifying the deployment of generative AI technologies. With its intuitive platform, Nutanix offers healthcare organizations a scalable path to integrate AI operations securely. Optimized for NVIDIA technology, it supports both public cloud and on-premises setups, enabling users to leverage prevalidated models or create custom large language models. This innovation addresses common concerns around security, storage, and costs, allowing IT teams to confidently embrace AI solutions.#HealthcareIT #AI #Nutanix #CloudComputing #DigitalTransformation #HealthTech #GenerativeAI

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-AzuWSdvuVbztpyoacwxsr1LdYo8Y5", "object": "chat.completion", "created": 1739318644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Nutanix Enterprise AI is revolutionizing healthcare AI workloads by simplifying the deployment of generative AI technologies. With its intuitive platform, Nutanix offers healthcare organizations a scalable path to integrate AI operations securely. Optimized for NVIDIA technology, it supports both public cloud and on-premises setups, enabling users to leverage prevalidated models or create custom large language models. This innovation addresses common concerns around security, storage, and costs, allowing IT teams to confidently embrace AI solutions. nn#HealthcareIT #AI #Nutanix #CloudComputing #DigitalTransformation #HealthTech #GenerativeAI", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 4688, "completion_tokens": 119, "total_tokens": 4807, "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_72ed7ab54c" }

Prompt Tokens - 4688
Completion Tokens - 119
Total Tokens - 4807

 

An Explanation Interface for Healthy Food Recommendations in a Real-Life Workplace Deployment: User-Centered Design Study

JMIR mHealth and uHealth - (Wednesday February 12, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: User acceptance and trust play a critical role in decision-making, particularly in domains such as personalized nutrition. This paper investigates the design and implementation of a food recommender system and explanation interfaces that...

In a recent study on a food recommender system, user acceptance and trust were found to be crucial for effective decision-making in personalized nutrition. By employing a user-centered design approach, the system successfully explained meal recommendations, enhancing trust even when preferences differed from healthy options. The deployment across multiple companies revealed key insights into the importance of clear communication in fostering user confidence. This research underscores the need for robust explanation interfaces in health tech solutions, paving the way for future innovations in personalized nutrition.#HealthTech #UserExperience #PersonalizedNutrition #FoodTech #HealthcareIT #TrustInTech #DesignThinking

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-Azs6CKvroQjSMBvHV3BYVetpMlZpF", "object": "chat.completion", "created": 1739309328, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent study on a food recommender system, user acceptance and trust were found to be crucial for effective decision-making in personalized nutrition. By employing a user-centered design approach, the system successfully explained meal recommendations, enhancing trust even when preferences differed from healthy options. The deployment across multiple companies revealed key insights into the importance of clear communication in fostering user confidence. This research underscores the need for robust explanation interfaces in health tech solutions, paving the way for future innovations in personalized nutrition. nn#HealthTech #UserExperience #PersonalizedNutrition #FoodTech #HealthcareIT #TrustInTech #DesignThinking", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 451, "completion_tokens": 121, "total_tokens": 572, "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_72ed7ab54c" }

Prompt Tokens - 451
Completion Tokens - 121
Total Tokens - 572

 

News 2/12/25 – HIStalk

HIStalk - (Wednesday February 12, 2025) - Daily Reads/ HIStalk

Top NewsDoximity reports Q3 results: revenue up 25%, EPS $0.40 versus $0.26, beating analyst expectations for both and sending shares up nearly 40% on the news. DOCS  shares have gained 170% in the past...

Doximity's Q3 results show a remarkable 25% revenue increase, with shares soaring nearly 40%. The company, now valued at $14 billion, reflects a 170% growth over the past year. Meanwhile, Symplr joins HIStalk as a Platinum Sponsor, showcasing its innovative healthcare operations platform. Upcoming webinars will address post-acute revenue cycle challenges and AI's role in identity data management. Notable industry shifts include new leadership appointments and advancements in EHR technology. As healthcare IT evolves, these developments underscore the importance of data quality and operational efficiency.#HealthcareIT #Doximity #EHR #AIinHealthcare #DataQuality #HealthTech #DigitalTransformation

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-Azttl0EGhnNXPzb0d2jVK7OSveCgL", "object": "chat.completion", "created": 1739316245, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Doximity's Q3 results show a remarkable 25% revenue increase, with shares soaring nearly 40%. The company, now valued at $14 billion, reflects a 170% growth over the past year. Meanwhile, Symplr joins HIStalk as a Platinum Sponsor, showcasing its innovative healthcare operations platform. Upcoming webinars will address post-acute revenue cycle challenges and AI's role in identity data management. Notable industry shifts include new leadership appointments and advancements in EHR technology. As healthcare IT evolves, these developments underscore the importance of data quality and operational efficiency. nn#HealthcareIT #Doximity #EHR #AIinHealthcare #DataQuality #HealthTech #DigitalTransformation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1617, "completion_tokens": 143, "total_tokens": 1760, "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_72ed7ab54c" }

Prompt Tokens - 1617
Completion Tokens - 143
Total Tokens - 1760

 

Healthcare Organizations Are Running Out of Time To Upgrade to Windows 11

HealthTech Magazine - (Wednesday February 12, 2025) - Frequent Updates/ HealthTech Magazine

Oct. 14, 2025, is quickly approaching, which means the time to refresh your Windows 11 operating system is now. When that day comes, support for the Windows 10 operating system ends. Healthcare organizations running...

🚨 Time is running out for healthcare organizations to upgrade to Windows 11 before Windows 10 support ends in October 2025. This transition is crucial for maintaining security, enhancing user experience, and leveraging AI capabilities. Windows 11 offers improved security for hybrid workforces, a redesigned user interface, and readiness for AI tools like Microsoft Copilot. However, many existing devices may not meet the new OS requirements, emphasizing the urgency of beginning the upgrade process now. Don’t wait until it’s too late!#HealthcareIT #Windows11 #Cybersecurity #AI #DigitalTransformation #HealthTech #ITUpgrade

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-Azs5qb2tJFS0bOhcFsLKLHfCsI9gp", "object": "chat.completion", "created": 1739309306, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚨 Time is running out for healthcare organizations to upgrade to Windows 11 before Windows 10 support ends in October 2025. This transition is crucial for maintaining security, enhancing user experience, and leveraging AI capabilities. Windows 11 offers improved security for hybrid workforces, a redesigned user interface, and readiness for AI tools like Microsoft Copilot. However, many existing devices may not meet the new OS requirements, emphasizing the urgency of beginning the upgrade process now. Don’t wait until it’s too late! nn#HealthcareIT #Windows11 #Cybersecurity #AI #DigitalTransformation #HealthTech #ITUpgrade", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5612, "completion_tokens": 124, "total_tokens": 5736, "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_72ed7ab54c" }

Prompt Tokens - 5612
Completion Tokens - 124
Total Tokens - 5736

 

IT workers’ unemployment rate climbs in 2025

Healthcare IT news - (Wednesday February 12, 2025) - AI/ Frequent Updates/ Healthcare IT News

The number of unemployed information technology workers rose from 98,000 in December 2024 to 152,000 in January 2025, recent data from the U.S. Department of Labor shows. Some see artificial intelligence already having an...

As the IT job market faces a downturn, recent data reveals an alarming rise in unemployment among IT professionals, climbing from 98,000 in December 2024 to 152,000 in January 2025. The shift towards AI is reshaping the landscape, replacing routine roles and prompting companies to streamline operations. While the healthcare sector grapples with layoffs, it simultaneously experiences a shortage of skilled tech workers in critical areas like cybersecurity and data analysis. This duality highlights the urgent need for strategic workforce planning and investment in emerging tech roles to navigate the evolving market. #HealthcareIT #AI #JobMarket #Cybersecurity #TechTrends #WorkforceDevelopment #DigitalTransformation

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-AzseLcTv1ZQfb6QQHEQdxAdEyx9U8", "object": "chat.completion", "created": 1739311445, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "As the IT job market faces a downturn, recent data reveals an alarming rise in unemployment among IT professionals, climbing from 98,000 in December 2024 to 152,000 in January 2025. The shift towards AI is reshaping the landscape, replacing routine roles and prompting companies to streamline operations. While the healthcare sector grapples with layoffs, it simultaneously experiences a shortage of skilled tech workers in critical areas like cybersecurity and data analysis. This duality highlights the urgent need for strategic workforce planning and investment in emerging tech roles to navigate the evolving market. #HealthcareIT #AI #JobMarket #Cybersecurity #TechTrends #WorkforceDevelopment #DigitalTransformation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 858, "completion_tokens": 136, "total_tokens": 994, "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_72ed7ab54c" }

Prompt Tokens - 858
Completion Tokens - 136
Total Tokens - 994

 

The Art of Natural Transformation: Dr. Spiro’s Breast Lift with Auto Augmentation Technique

eHealth Radio Network - (Tuesday February 11, 2025) - eHealth Radio Network/ Podcasts

 Dr. Scott Spiro, a board-certified plastic surgeon with nearly 30 years of expertise in advanced cosmetic and reconstructive surgeries with a private practice based in West Orange, New Jersey again joins eHealth Radio and...

Revolutionizing breast enhancement, Dr. Scott Spiro introduces the auto augmentation mastopexy—a technique that lifts and reshapes breasts using the patient’s own tissue, eliminating the need for implants. With nearly 30 years of experience, Dr. Spiro discusses the benefits, ideal candidates, and the innovative aspects of this procedure. This approach not only offers natural results but also addresses concerns like breast implant illness. As healthcare IT professionals, understanding such advancements can enhance our support for transformative patient care.#HealthcareInnovation #PlasticSurgery #BreastAugmentation #PatientCare #CosmeticSurgery #HealthTech #SurgicalTechniques

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-B01OGWRpNP1FFpNvzNEIInZyHpKJQ", "object": "chat.completion", "created": 1739345044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Revolutionizing breast enhancement, Dr. Scott Spiro introduces the auto augmentation mastopexy—a technique that lifts and reshapes breasts using the patient’s own tissue, eliminating the need for implants. With nearly 30 years of experience, Dr. Spiro discusses the benefits, ideal candidates, and the innovative aspects of this procedure. This approach not only offers natural results but also addresses concerns like breast implant illness. As healthcare IT professionals, understanding such advancements can enhance our support for transformative patient care. nn#HealthcareInnovation #PlasticSurgery #BreastAugmentation #PatientCare #CosmeticSurgery #HealthTech #SurgicalTechniques", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 644, "completion_tokens": 129, "total_tokens": 773, "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_72ed7ab54c" }

Prompt Tokens - 644
Completion Tokens - 129
Total Tokens - 773

 

The foundational capabilities of large language models in predicting postoperative risks using clinical notes

npj Digital Medicine - (Tuesday February 11, 2025) - Frequent Updates/ npj Digital Medicine

Clinical notes recorded during a patient’s perioperative journey holds immense informational value. Advances in large language models (LLMs) offer opportunities for bridging this gap. Using 84,875 preoperative notes and its associated surgical cases from...

Unlocking the potential of large language models (LLMs) in predicting postoperative risks can revolutionize surgical care. By analyzing 84,875 clinical notes, our study reveals that LLMs significantly outperform traditional word embeddings, with improvements of up to 38.3% in AUROC. Fine-tuning strategies, including self-supervised and foundation models, enhance predictive accuracy, enabling early identification of high-risk patients. This approach not only streamlines clinical workflows but also optimizes patient outcomes, showcasing the transformative role of AI in healthcare.#HealthTech #AIinHealthcare #MachineLearning #ClinicalDecisionSupport #PatientSafety #SurgicalOutcomes #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-AzqmpFfB36oYt8RjPNE4zOJXXI3TW", "object": "chat.completion", "created": 1739304283, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of large language models (LLMs) in predicting postoperative risks can revolutionize surgical care. By analyzing 84,875 clinical notes, our study reveals that LLMs significantly outperform traditional word embeddings, with improvements of up to 38.3% in AUROC. Fine-tuning strategies, including self-supervised and foundation models, enhance predictive accuracy, enabling early identification of high-risk patients. This approach not only streamlines clinical workflows but also optimizes patient outcomes, showcasing the transformative role of AI in healthcare. nn#HealthTech #AIinHealthcare #MachineLearning #ClinicalDecisionSupport #PatientSafety #SurgicalOutcomes #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 31446, "completion_tokens": 134, "total_tokens": 31580, "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_72ed7ab54c" }

Prompt Tokens - 31446
Completion Tokens - 134
Total Tokens - 31580

 

Implementation report on pioneering federated data access for the German National Emergency Department Data Registry

npj Digital Medicine - (Tuesday February 11, 2025) - Frequent Updates/ npj Digital Medicine

Continuous access to electronic health records will fuel the digital transformation of medicine. For data-sharing initiatives, the challenge lies in ensuring data access aligns with the interests of data holders. Federated data access authorization,...

The implementation of a pioneering federated data access system for the German National Emergency Department Data Registry marks a significant advancement in healthcare data sharing. This system enables local control over electronic health records while facilitating efficient data access for research. From 2017 to 2024, over 7.9 million records were accessed, with 75% of queries authorized within 15 days. The framework exemplifies how federated approaches can enhance data sharing while respecting privacy and ownership, serving as a potential model for global initiatives.#HealthData #DataSharing #FederatedAccess #DigitalHealth #EmergencyCare #HealthIT #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-AzqmJ2JocZ9aXg4enKE7djFWej8Ij", "object": "chat.completion", "created": 1739304251, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The implementation of a pioneering federated data access system for the German National Emergency Department Data Registry marks a significant advancement in healthcare data sharing. This system enables local control over electronic health records while facilitating efficient data access for research. From 2017 to 2024, over 7.9 million records were accessed, with 75% of queries authorized within 15 days. The framework exemplifies how federated approaches can enhance data sharing while respecting privacy and ownership, serving as a potential model for global initiatives. nn#HealthData #DataSharing #FederatedAccess #DigitalHealth #EmergencyCare #HealthIT #EHR", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25265, "completion_tokens": 126, "total_tokens": 25391, "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_72ed7ab54c" }

Prompt Tokens - 25265
Completion Tokens - 126
Total Tokens - 25391

 

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.