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Exploring Fit in a Mobile Health Intervention for Alcohol Use Disorder: Qualitative Study

JMIR mHealth and uHealth - (Wednesday October 15, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: Implementation frameworks like the EPIS model emphasize the importance of the “fit” between an intervention and its context, which includes the needs of its target population, as well as the culture, resources, and...

Understanding the "fit" of mobile health interventions is crucial for successful implementation. This qualitative study on the Tula app, aimed at reducing risky drinking, highlights the importance of aligning interventions with the needs and culture of users. Through interviews with participants and implementers, we discovered both strengths, like the app's customization, and challenges, such as a lack of connection for some users. Prioritizing fit can enhance future iterations of digital health solutions, ensuring better engagement and outcomes. #DigitalHealth #mHealth #ImplementationScience #HealthcareIT #AlcoholUseDisorder #PatientEngagement #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-CQjERsfn6WgKULTpOGiMYkyOkiwro", "object": "chat.completion", "created": 1760486435, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Understanding the "fit" of mobile health interventions is crucial for successful implementation. This qualitative study on the Tula app, aimed at reducing risky drinking, highlights the importance of aligning interventions with the needs and culture of users. Through interviews with participants and implementers, we discovered both strengths, like the app's customization, and challenges, such as a lack of connection for some users. Prioritizing fit can enhance future iterations of digital health solutions, ensuring better engagement and outcomes. #DigitalHealth #mHealth #ImplementationScience #HealthcareIT #AlcoholUseDisorder #PatientEngagement #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 593, "completion_tokens": 119, "total_tokens": 712, "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 - 593
Completion Tokens - 119
Total Tokens - 712

 

What features and functions are you working to roll out to turn BridgeLink into a real platform?

Healthcare IT Today - (Wednesday October 15, 2025) - Healthcare IT Today/ Videos

BridgeLink isn’t just about message exchange. Innovar CEO Loyd Bittle explains how the new Dynamic Lookup Gateway (DLG) transforms it into a platform that supports healthcare orgs across the enterprise.Look for Innovar at #Civitas2025...

Transforming BridgeLink into a comprehensive healthcare platform, Innovar's CEO Loyd Bittle highlights the new Dynamic Lookup Gateway (DLG) as a key feature that enhances enterprise-wide support for healthcare organizations. This evolution goes beyond simple message exchange, positioning BridgeLink as a vital tool for interoperability and efficient data management. As we advance in healthcare IT, innovations like DLG are crucial for fostering seamless communication across systems.#InnovarHealthcare #TechnologyByDesign #MirthConnect #BridgeLink #healthtech #interoperability #healthIT #HITsm

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-CQmwV2gyxtFBDnG3CX5umRir2kSzB", "object": "chat.completion", "created": 1760500699, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Transforming BridgeLink into a comprehensive healthcare platform, Innovar's CEO Loyd Bittle highlights the new Dynamic Lookup Gateway (DLG) as a key feature that enhances enterprise-wide support for healthcare organizations. This evolution goes beyond simple message exchange, positioning BridgeLink as a vital tool for interoperability and efficient data management. As we advance in healthcare IT, innovations like DLG are crucial for fostering seamless communication across systems. nn#InnovarHealthcare #TechnologyByDesign #MirthConnect #BridgeLink #healthtech #interoperability #healthIT #HITsm", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 266, "completion_tokens": 113, "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 - 266
Completion Tokens - 113
Total Tokens - 379

 

90 seconds is all it takes for Availity’s FHIR-based auth workflow to go from submission to approval

Healthcare IT Today - (Tuesday October 14, 2025) - Healthcare IT Today/ Videos

🚀 90 seconds. That’s all it takes for Availity’s FHIR-based auth workflow to go from submission → review → approval.Hear CEO Russ Thomas explain how ➡️ https://www.healthcareittoday.com/2025/07/17/availity-is-already-automating-prior-auths/#Availity #HFMA25 #healthtech #healthIT #healthcare #FHIR...

In just 90 seconds, Availity’s FHIR-based authorization workflow transforms the process from submission to approval, significantly enhancing efficiency in healthcare IT. CEO Russ Thomas highlights the impact of this automation on streamlining prior authorizations, reducing delays, and improving patient care. This innovative approach showcases the potential of FHIR standards in revolutionizing healthcare workflows. Embrace the future of healthcare technology and discover how automation can drive better outcomes for providers and patients alike.#Availity #HealthTech #HealthIT #FHIR #HealthcareInnovation #Automation #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-CQn1NjWtZbeGMPqfoV2UzLfGWjL3B", "object": "chat.completion", "created": 1760501001, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In just 90 seconds, Availity’s FHIR-based authorization workflow transforms the process from submission to approval, significantly enhancing efficiency in healthcare IT. CEO Russ Thomas highlights the impact of this automation on streamlining prior authorizations, reducing delays, and improving patient care. This innovative approach showcases the potential of FHIR standards in revolutionizing healthcare workflows. Embrace the future of healthcare technology and discover how automation can drive better outcomes for providers and patients alike. nn#Availity #HealthTech #HealthIT #FHIR #HealthcareInnovation #Automation #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 235, "completion_tokens": 111, "total_tokens": 346, "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 - 235
Completion Tokens - 111
Total Tokens - 346

 

5 Questions About Which Firewall Goes Where

HealthTech Magazine - (Tuesday October 14, 2025) - Frequent Updates/ HealthTech Magazine

1. How Do UTM Firewalls Protect Users? Whether they’re called unified threat management, next-generation, software-defined WAN or secure access service edge, firewalls need to have advanced Layer 7 knowledge to protect users. A combination of...

In the evolving landscape of healthcare IT, choosing the right firewall is crucial for safeguarding sensitive data. This blog post outlines five essential questions to guide your firewall selection process, focusing on user protection, data center security, microsegmentation, cloud strategies, and centralized management. Understanding these aspects ensures that your organization adopts a robust cybersecurity posture, tailored to meet the unique challenges of modern healthcare environments.#HealthcareIT #Cybersecurity #Firewalls #DataProtection #CloudSecurity #ZeroTrust #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-CQgJNoPZMkt0RXMJ4QaQsCNZs4VeR", "object": "chat.completion", "created": 1760475209, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the evolving landscape of healthcare IT, choosing the right firewall is crucial for safeguarding sensitive data. This blog post outlines five essential questions to guide your firewall selection process, focusing on user protection, data center security, microsegmentation, cloud strategies, and centralized management. Understanding these aspects ensures that your organization adopts a robust cybersecurity posture, tailored to meet the unique challenges of modern healthcare environments. nn#HealthcareIT #Cybersecurity #Firewalls #DataProtection #CloudSecurity #ZeroTrust #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5476, "completion_tokens": 99, "total_tokens": 5575, "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 - 5476
Completion Tokens - 99
Total Tokens - 5575

 

HIStalk’s Guide to HLTH 2025

HIStalk - (Tuesday October 14, 2025) - Daily Reads/ HIStalk

Clinical ArchitectureContact Jaime Lira to arrange a meeting. Contact: Jaime Lira, VP of [email protected] Clinical Architecture data quality solutions have delivered real ROI to health systems, payer organizations, life sciences enterprises, government, and others. Our terminology...

Exciting innovations are on the horizon at HLTH 2025! Clinical Architecture is leading the charge with data quality solutions that enhance interoperability and actionable insights. CliniComp's award-winning EHR suite exemplifies cutting-edge technology, while DrFirst empowers medication management for better patient outcomes. Ellkay simplifies interoperability, and Linus Health showcases AI-driven brain health solutions. Join industry leaders in exploring how these advancements can transform healthcare delivery. Don’t miss the session on AI-powered personalization by Linus Health and League!#HealthcareIT #HLTH2025 #DataQuality #EHR #AIinHealthcare #HealthTech #PatientExperience

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-CQg0Y9mKRL8Laoi6Vkl1utSbXriWL", "object": "chat.completion", "created": 1760474042, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting innovations are on the horizon at HLTH 2025! Clinical Architecture is leading the charge with data quality solutions that enhance interoperability and actionable insights. CliniComp's award-winning EHR suite exemplifies cutting-edge technology, while DrFirst empowers medication management for better patient outcomes. Ellkay simplifies interoperability, and Linus Health showcases AI-driven brain health solutions. Join industry leaders in exploring how these advancements can transform healthcare delivery. Don’t miss the session on AI-powered personalization by Linus Health and League! nn#HealthcareIT #HLTH2025 #DataQuality #EHR #AIinHealthcare #HealthTech #PatientExperience", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1886, "completion_tokens": 127, "total_tokens": 2013, "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 - 1886
Completion Tokens - 127
Total Tokens - 2013

 

The Latest AI Developments in Dermatology

Digital Health Frontier - (Tuesday October 14, 2025) - AI/ Daily Reads/ Digital Health Frontier

Among the medical specialties, dermatology has witnessed some of the most promising AI applications in recent years.By John Halamka, M.D., Diercks President, Mayo Clinic Platform, Nneka Comfere, MD, Division Chair of Dermatopathology and Medical...

AI is revolutionizing dermatology, enhancing diagnostic accuracy and efficiency. Pioneering models like PanDerm and Atlas are leading the charge, utilizing millions of medical images to outperform traditional methods. Mayo Clinic's DHAI program exemplifies innovation, focusing on accessible, high-quality dermatologic care through AI-driven solutions. These advancements not only improve early melanoma detection but also streamline workflows for pathologists. As AI integrates into clinical practice, it empowers dermatologists, proving that collaboration between humans and AI yields superior results. The future of dermatology is bright with AI at the forefront!#HealthcareIT #ArtificialIntelligence #Dermatology #DigitalHealth #Innovation #MedicalAI #MachineLearning

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

{ "id": "chatcmpl-CQeCVjZPR6i1AdNcmwMCFwqLdL2YL", "object": "chat.completion", "created": 1760467095, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI is revolutionizing dermatology, enhancing diagnostic accuracy and efficiency. Pioneering models like PanDerm and Atlas are leading the charge, utilizing millions of medical images to outperform traditional methods. Mayo Clinic's DHAI program exemplifies innovation, focusing on accessible, high-quality dermatologic care through AI-driven solutions. These advancements not only improve early melanoma detection but also streamline workflows for pathologists. As AI integrates into clinical practice, it empowers dermatologists, proving that collaboration between humans and AI yields superior results. The future of dermatology is bright with AI at the forefront! nn#HealthcareIT #ArtificialIntelligence #Dermatology #DigitalHealth #Innovation #MedicalAI #MachineLearning", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1090, "completion_tokens": 136, "total_tokens": 1226, "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 - 1090
Completion Tokens - 136
Total Tokens - 1226

 

Cleaning up healthcare data for the AI era

Healthcare IT news - (Tuesday October 14, 2025) - Frequent Updates/ Healthcare IT News

Cleaning up healthcare data for the AI era | Healthcare IT News Skip to main content...

In the AI era, the integrity of healthcare data is paramount. As we integrate advanced technologies, ensuring clean, accurate, and standardized data is essential for effective AI applications. This post emphasizes the need for robust data governance, the importance of interoperability, and the role of data quality in driving better patient outcomes. By prioritizing data cleanliness, we can harness AI's full potential to enhance decision-making and streamline operations in healthcare. Let’s lead the charge toward a data-driven future!#HealthTech #DataQuality #AIinHealthcare #Interoperability #DigitalHealth #HealthcareIT #DataGovernance

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-CQdOYRjiKt6lEJAiUsMlcZzctSsbr", "object": "chat.completion", "created": 1760463998, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the AI era, the integrity of healthcare data is paramount. As we integrate advanced technologies, ensuring clean, accurate, and standardized data is essential for effective AI applications. This post emphasizes the need for robust data governance, the importance of interoperability, and the role of data quality in driving better patient outcomes. By prioritizing data cleanliness, we can harness AI's full potential to enhance decision-making and streamline operations in healthcare. Let’s lead the charge toward a data-driven future! nn#HealthTech #DataQuality #AIinHealthcare #Interoperability #DigitalHealth #HealthcareIT #DataGovernance", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 272, "completion_tokens": 120, "total_tokens": 392, "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 - 272
Completion Tokens - 120
Total Tokens - 392

 

Northwell Health Selects to Deploy Abridge’s Ambient AI Across 28 Hospitals

HIT Consultant - (Tuesday October 14, 2025) - AI/ Frequent Updates/ HIT Consultant

What You Should Know: – Northwell Health, the largest not-for-profit health system in the Northeast, today announced a plan to deploy Abridge’s ambient artificial intelligence (AI) platform across its 28 hospitals as part of a...

Northwell Health is set to revolutionize patient care by deploying Abridge’s ambient AI across its 28 hospitals, enhancing clinical documentation and alleviating administrative burdens on providers. This initiative, part of a major Epic EHR rollout, aims to combat physician burnout by transforming conversations into real-time, billable documentation. With the potential to reduce burnout by up to 67%, Abridge’s technology supports diverse clinical settings and specialties. As Kristin Myers emphasizes, the focus remains on improving patient care and clinician support, ensuring that healthcare professionals can prioritize what they do best—caring for patients. #HealthcareIT #AmbientAI #DigitalTransformation #EHR #PhysicianBurnout #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-CQj5k19oY3sCDwwTLfOmuCRBsdZ1l", "object": "chat.completion", "created": 1760485896, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Northwell Health is set to revolutionize patient care by deploying Abridge’s ambient AI across its 28 hospitals, enhancing clinical documentation and alleviating administrative burdens on providers. This initiative, part of a major Epic EHR rollout, aims to combat physician burnout by transforming conversations into real-time, billable documentation. With the potential to reduce burnout by up to 67%, Abridge’s technology supports diverse clinical settings and specialties. As Kristin Myers emphasizes, the focus remains on improving patient care and clinician support, ensuring that healthcare professionals can prioritize what they do best—caring for patients. #HealthcareIT #AmbientAI #DigitalTransformation #EHR #PhysicianBurnout #PatientCare #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 648, "completion_tokens": 140, "total_tokens": 788, "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 - 648
Completion Tokens - 140
Total Tokens - 788

 

Leveraging Sarcopenia index by automated CT body composition analysis for pan cancer prognostic stratification

npj Digital Medicine - (Tuesday October 14, 2025) - AI/ Frequent Updates/ npj Digital Medicine

This study evaluates the CT-based volumetric sarcopenia index (SI) as a baseline prognostic factor for overall survival (OS) in 10,340 solid tumor patients (40% female). Automated body composition analysis was applied to internal baseline...

Unlocking the potential of the Sarcopenia index (SI) through automated CT body composition analysis can revolutionize prognostic stratification in cancer care. A recent study involving over 10,000 solid tumor patients demonstrated that a higher SI correlates with improved overall survival rates. By leveraging advanced analytical techniques, including machine learning, we can enhance patient outcomes and tailor treatment strategies more effectively. This innovative approach underscores the importance of integrating technology in oncology to drive better prognostic insights.#HealthcareIT #CancerCare #MachineLearning #Prognostics #Sarcopenia #DigitalHealth #Oncology

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-CQcbWWDBtXNFGjSCgS3eN13itx0m4", "object": "chat.completion", "created": 1760460958, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of the Sarcopenia index (SI) through automated CT body composition analysis can revolutionize prognostic stratification in cancer care. A recent study involving over 10,000 solid tumor patients demonstrated that a higher SI correlates with improved overall survival rates. By leveraging advanced analytical techniques, including machine learning, we can enhance patient outcomes and tailor treatment strategies more effectively. This innovative approach underscores the importance of integrating technology in oncology to drive better prognostic insights. nn#HealthcareIT #CancerCare #MachineLearning #Prognostics #Sarcopenia #DigitalHealth #Oncology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11818, "completion_tokens": 121, "total_tokens": 11939, "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 - 11818
Completion Tokens - 121
Total Tokens - 11939

 

Evidential deep learning-based ALK-expression screening using H&E-stained histopathological images

npj Digital Medicine - (Tuesday October 14, 2025) - AI/ Frequent Updates/ npj Digital Medicine

Efficient and accurate identification of genetic alterations of non-small cell lung cancer is a critical diagnostic process for targeted therapies. Utilizing advanced modern deep learning is a potential solution that can accurately predict genetic...

Unlocking the potential of deep learning in oncology, our latest research introduces DeepPATHO, an innovative model for screening ALK expression in non-small cell lung cancer using H&E-stained histopathological images. Achieving over 95% accuracy, this evidence-based approach reduces unnecessary testing and medical costs while providing interpretable results. By leveraging advanced algorithms, DeepPATHO identifies genetic alterations directly from pathology images, enhancing clinical decision-making. This breakthrough could significantly streamline ALK-positive screening, ultimately improving patient outcomes and resource allocation in cancer care.#HealthcareIT #DeepLearning #Pathology #CancerResearch #MachineLearning #PrecisionMedicine #AIinHealthcare

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-CQcawYdYLgAjlEJNxM6uEAeJAO4TL", "object": "chat.completion", "created": 1760460922, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of deep learning in oncology, our latest research introduces DeepPATHO, an innovative model for screening ALK expression in non-small cell lung cancer using H&E-stained histopathological images. Achieving over 95% accuracy, this evidence-based approach reduces unnecessary testing and medical costs while providing interpretable results. By leveraging advanced algorithms, DeepPATHO identifies genetic alterations directly from pathology images, enhancing clinical decision-making. This breakthrough could significantly streamline ALK-positive screening, ultimately improving patient outcomes and resource allocation in cancer care. nn#HealthcareIT #DeepLearning #Pathology #CancerResearch #MachineLearning #PrecisionMedicine #AIinHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29328, "completion_tokens": 131, "total_tokens": 29459, "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 - 29328
Completion Tokens - 131
Total Tokens - 29459

 

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.