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New Trilliant Health Report Exposes Widespread Price Variation in U.S. Healthcare

HIT Consultant - (Tuesday August 19, 2025) - Frequent Updates/ HIT Consultant

What You Should Know: – Trilliant Health, a healthcare analytics firm, has released a new report that leverages data from the Transparency in Coverage (TiC) final rule to expose significant variations in commercial healthcare prices...

A recent Trilliant Health report uncovers alarming price variations in U.S. healthcare, revealing that negotiated rates for the same procedures can differ by as much as 9.1 times nationally. Despite spending $4.9 trillion in 2023, the U.S. struggles with poor health outcomes, largely due to information asymmetry that stifles competition. The report emphasizes the need for transparency, as employers can now leverage detailed data to make informed decisions about healthcare benefits. This highlights a critical opportunity for accountability in pricing and quality in healthcare delivery.#HealthcareIT #PriceTransparency #HealthEconomics #DataAnalytics #ValueBasedCare #HealthcareCosts #HealthOutcomes

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

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Prompt Tokens - 987
Completion Tokens - 135
Total Tokens - 1122

 

Beyond Step Counts: How AI-Powered Gait Analysis is Unlocking a New Vital Sign in Healthcare

HIT Consultant - (Tuesday August 19, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

Yuval Naveh, Co-Founder and Chief Scientific Officer of OneStepGait—how we walk—provides powerful, often overlooked insights into our physical, cognitive, mental, and social health. It’s more than just movement; it serves as a window into...

Unlocking the potential of gait analysis as a vital sign is revolutionizing healthcare. Gait offers profound insights into physical, cognitive, and mental health, linking mobility impairments to serious conditions. While traditional step counters provide a limited view, AI-driven gait analysis can deliver detailed insights for patient monitoring and treatment efficacy. With smartphones as accessible tools for mobility measurement, we can enhance clinical studies and track recovery trends in real-time. The future of healthcare lies in harnessing this technology to improve patient outcomes across diverse conditions.#HealthcareIT #GaitAnalysis #AIinHealthcare #DigitalHealth #PatientMonitoring #MobilityData #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-C6Ag0OBmnQVj8uupNezvE0rUpATfZ", "object": "chat.completion", "created": 1755587044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of gait analysis as a vital sign is revolutionizing healthcare. Gait offers profound insights into physical, cognitive, and mental health, linking mobility impairments to serious conditions. While traditional step counters provide a limited view, AI-driven gait analysis can deliver detailed insights for patient monitoring and treatment efficacy. With smartphones as accessible tools for mobility measurement, we can enhance clinical studies and track recovery trends in real-time. The future of healthcare lies in harnessing this technology to improve patient outcomes across diverse conditions. nn#HealthcareIT #GaitAnalysis #AIinHealthcare #DigitalHealth #PatientMonitoring #MobilityData #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 3517, "completion_tokens": 127, "total_tokens": 3644, "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 - 3517
Completion Tokens - 127
Total Tokens - 3644

 

User Archetypes of a Well-Being–Promoting Mobile App Among Adults: Cross-Sectional Study and Cluster Analysis of Usage Patterns

JMIR mHealth and uHealth - (Tuesday August 19, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: A healthy lifestyle is associated with mental well-being, and digital lifestyle interventions can be effective in promoting a healthy lifestyle. However, they do not appear to work for all, and we have limited...

Understanding user archetypes is crucial for enhancing digital health interventions. A recent study analyzed how individual characteristics influence the adoption and usage of a well-being-promoting mobile app, BitHabit, among adults. The findings revealed that gender, age, and lifestyle factors significantly impact app initiation, with males showing lower odds of engagement. This insight can guide healthcare IT professionals in tailoring digital solutions to better meet user needs and improve mental well-being outcomes. Let’s leverage data-driven strategies to foster healthier lifestyles through technology! #DigitalHealth #HealthIT #MobileHealth #UserExperience #MentalWellbeing #DataAnalytics #HealthInnovation

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-C62xmubDZL4OqjOvnSZrSbhVr8ieO", "object": "chat.completion", "created": 1755557394, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Understanding user archetypes is crucial for enhancing digital health interventions. A recent study analyzed how individual characteristics influence the adoption and usage of a well-being-promoting mobile app, BitHabit, among adults. The findings revealed that gender, age, and lifestyle factors significantly impact app initiation, with males showing lower odds of engagement. This insight can guide healthcare IT professionals in tailoring digital solutions to better meet user needs and improve mental well-being outcomes. Let’s leverage data-driven strategies to foster healthier lifestyles through technology! #DigitalHealth #HealthIT #MobileHealth #UserExperience #MentalWellbeing #DataAnalytics #HealthInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 411, "completion_tokens": 121, "total_tokens": 532, "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 - 411
Completion Tokens - 121
Total Tokens - 532

 

Adolescent Engagement With a Multicomponent mHealth Tool: Identifying Usage Patterns, Determinants, and Health Behavior Change in an Intervention Trial

JMIR mHealth and uHealth - (Tuesday August 19, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: Research about the engagement of adolescents with mobile health (mHealth) interventions is scarce, while it is generally assumed that the engagement affects the intervention efficacy. Objective: Using a mHealth intervention that targets the...

Engaging adolescents in mobile health (mHealth) interventions is crucial for promoting healthy behaviors. The #LIFEGOALS app, featuring self-regulation techniques, a support chatbot, and gamification, was studied over 12 weeks with 159 participants. Key findings reveal four distinct engagement styles: narrative-usage, app-usage, Fitbit-usage, and no-usage, influenced by factors such as age and mental health. Despite the varied engagement patterns, overall low usage may have limited observable health behavior changes. Tailoring mHealth solutions to individual characteristics is essential for enhancing effectiveness in this demographic.#mHealth #DigitalHealth #AdolescentHealth #BehaviorChange #HealthTech #Engagement #HealthInnovation

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-C62s8ns411lYmCyAR7UIIgF1UIHlF", "object": "chat.completion", "created": 1755557044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Engaging adolescents in mobile health (mHealth) interventions is crucial for promoting healthy behaviors. The #LIFEGOALS app, featuring self-regulation techniques, a support chatbot, and gamification, was studied over 12 weeks with 159 participants. Key findings reveal four distinct engagement styles: narrative-usage, app-usage, Fitbit-usage, and no-usage, influenced by factors such as age and mental health. Despite the varied engagement patterns, overall low usage may have limited observable health behavior changes. Tailoring mHealth solutions to individual characteristics is essential for enhancing effectiveness in this demographic. nn#mHealth #DigitalHealth #AdolescentHealth #BehaviorChange #HealthTech #Engagement #HealthInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 701, "completion_tokens": 143, "total_tokens": 844, "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 - 701
Completion Tokens - 143
Total Tokens - 844

 

Outcomes of an App-Based Intervention to Target Naming Among Individuals With Poststroke Aphasia: Virtual Randomized Controlled Trial

JMIR mHealth and uHealth - (Tuesday August 19, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: People with aphasia (PwA) present with language and communication deficits, most notably in lexical retrieval (naming). Although positive outcomes in naming have been observed following speech-language treatment, many individuals with aphasia continue to...

Exciting advancements in aphasia rehabilitation! A recent study evaluated the VoiceAdapt app, designed to enhance naming abilities in individuals with poststroke aphasia. Conducted as a randomized controlled trial, results showed significant improvements in naming performance and communication quality of life after just five weeks of app-based training. This innovative approach highlights the potential of mobile therapies as effective adjuncts to traditional rehabilitation methods, offering accessible options for those in chronic stages of recovery. Let's embrace technology to transform patient care!#HealthcareIT #Aphasia #Teletherapy #DigitalHealth #Rehabilitation #SpeechLanguagePathology #InnovationInHealthcare

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

{ "id": "chatcmpl-C65N0fzPcLJYkvtGypDqPcEdMPyv9", "object": "chat.completion", "created": 1755566646, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in aphasia rehabilitation! A recent study evaluated the VoiceAdapt app, designed to enhance naming abilities in individuals with poststroke aphasia. Conducted as a randomized controlled trial, results showed significant improvements in naming performance and communication quality of life after just five weeks of app-based training. This innovative approach highlights the potential of mobile therapies as effective adjuncts to traditional rehabilitation methods, offering accessible options for those in chronic stages of recovery. Let's embrace technology to transform patient care! nn#HealthcareIT #Aphasia #Teletherapy #DigitalHealth #Rehabilitation #SpeechLanguagePathology #InnovationInHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 753, "completion_tokens": 122, "total_tokens": 875, "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 - 753
Completion Tokens - 122
Total Tokens - 875

 

Medallion Raises $43M to Streamline Healthcare Provider Networks with AI

HIT Consultant - (Monday August 18, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

What You Should Know: – Medallion, a provider of AI-powered provider network infrastructure, today announced it has raised $43M in new funding led by Acrew Capital, with participation from Washington Harbour Partners and returning investors...

Medallion has raised $43M to enhance healthcare provider networks with AI, bringing its total funding to $130M. This investment will drive automation in credentialing, enrollment, and compliance, significantly reducing administrative waste. A key highlight is the launch of CredAlliance, the first shared credentialing infrastructure, which mitigates duplicative efforts across health plans, potentially saving the industry $1.2B annually. Medallion's platform already supports 1 million providers, improving onboarding speed by 40x and enhancing patient access. This innovative approach positions Medallion as a leader in streamlining healthcare operations.#HealthcareIT #AIinHealthcare #ProviderNetworks #HealthTech #Credentialing #Innovation #PatientCare

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

{ "id": "chatcmpl-C61xFUvQYD21PZ7YWRQWbOns9gXDo", "object": "chat.completion", "created": 1755553517, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Medallion has raised $43M to enhance healthcare provider networks with AI, bringing its total funding to $130M. This investment will drive automation in credentialing, enrollment, and compliance, significantly reducing administrative waste. A key highlight is the launch of CredAlliance, the first shared credentialing infrastructure, which mitigates duplicative efforts across health plans, potentially saving the industry $1.2B annually. Medallion's platform already supports 1 million providers, improving onboarding speed by 40x and enhancing patient access. This innovative approach positions Medallion as a leader in streamlining healthcare operations. nn#HealthcareIT #AIinHealthcare #ProviderNetworks #HealthTech #Credentialing #Innovation #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 685, "completion_tokens": 144, "total_tokens": 829, "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 - 685
Completion Tokens - 144
Total Tokens - 829

 

Ambience Healthcare Launches Chart Chat, an AI Copilot for Epic EHRs

HIT Consultant - (Monday August 18, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant

What You Should Know: – Ambience Healthcare has announced the launch of Chart Chat, an AI copilot designed to integrate directly into Epic’s electronic health record (EHR) system. – Chart Chat is a first-of-its-kind tool that...

🚀 Exciting times in healthcare IT! Ambience Healthcare has launched Chart Chat, an innovative AI copilot for Epic EHRs. This groundbreaking tool integrates patient data with trusted medical content, delivering context-aware clinical insights. By enabling natural language queries, Chart Chat combats clinician information overload, providing structured answers in seconds. With features like chart-aware question answering and automated risk score calculations, it optimizes clinical workflows and enhances decision-making. As Dr. Trevor Satterfield notes, this technology could revolutionize physician interactions with medical records.#HealthTech #AIinHealthcare #EHR #ClinicalDecisionSupport #DigitalHealth #HealthcareInnovation #MedTech

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-C61wDVQ2LTgAYBU0Pn83rOMj10pBa", "object": "chat.completion", "created": 1755553453, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting times in healthcare IT! Ambience Healthcare has launched Chart Chat, an innovative AI copilot for Epic EHRs. This groundbreaking tool integrates patient data with trusted medical content, delivering context-aware clinical insights. By enabling natural language queries, Chart Chat combats clinician information overload, providing structured answers in seconds. With features like chart-aware question answering and automated risk score calculations, it optimizes clinical workflows and enhances decision-making. As Dr. Trevor Satterfield notes, this technology could revolutionize physician interactions with medical records. nn#HealthTech #AIinHealthcare #EHR #ClinicalDecisionSupport #DigitalHealth #HealthcareInnovation #MedTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 624, "completion_tokens": 131, "total_tokens": 755, "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 - 624
Completion Tokens - 131
Total Tokens - 755

 

CentralReach Acquires SpectrumAi and AI.Measures to Expand AI-Powered Autism Care

HIT Consultant - (Monday August 18, 2025) - AI/ Frequent Updates/ HIT Consultant

What You Should Know: – CentralReach, a software provider for autism and intellectual and developmental disabilities (IDD) care, has announced the acquisitions of SpectrumAi and AI.Measures. These strategic moves significantly expand CentralReach’s platform to enable...

CentralReach's recent acquisitions of SpectrumAi and AI.Measures mark a pivotal expansion in AI-powered autism care. These strategic moves enhance CentralReach’s Care360 strategy, advancing outcomes-based care (OBC) for autism and IDD services. By integrating advanced clinical assessment tools and predictive analytics, CentralReach empowers providers to transition from fee-for-service to OBC models. Notably, Dr. Thomas Frazier and Ling Shao will join CentralReach's leadership, driving innovation in individualized care and real-time decision support. This evolution promises to improve clinical outcomes and family engagement in care plans.#HealthcareIT #AutismCare #OutcomesBasedCare #AIinHealthcare #DigitalHealth #ClinicalInnovation #DataDrivenCare

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-C63BWHfoWaUzg22qbS1yT0Jy5U7pR", "object": "chat.completion", "created": 1755558246, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "CentralReach's recent acquisitions of SpectrumAi and AI.Measures mark a pivotal expansion in AI-powered autism care. These strategic moves enhance CentralReach’s Care360 strategy, advancing outcomes-based care (OBC) for autism and IDD services. By integrating advanced clinical assessment tools and predictive analytics, CentralReach empowers providers to transition from fee-for-service to OBC models. Notably, Dr. Thomas Frazier and Ling Shao will join CentralReach's leadership, driving innovation in individualized care and real-time decision support. This evolution promises to improve clinical outcomes and family engagement in care plans. nn#HealthcareIT #AutismCare #OutcomesBasedCare #AIinHealthcare #DigitalHealth #ClinicalInnovation #DataDrivenCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 576, "completion_tokens": 145, "total_tokens": 721, "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 - 576
Completion Tokens - 145
Total Tokens - 721

 

Use of Wearable Sensors to Assess Fall Risk in Neurological Disorders: Systematic Review

JMIR mHealth and uHealth - (Monday August 18, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: Assessing fall risk, especially in individuals with neurological disorders, is essential to prevent hospitalization, hypomobility, and reduced functional independence. Wearable sensors are increasingly used in neurorehabilitation, as they enable unsupervised fall risk assessment...

Wearable sensors are revolutionizing fall risk assessment in individuals with neurological disorders, crucial for preventing hospitalization and maintaining independence. Our systematic review analyzed 19 studies involving over 2,600 patients, focusing on gait parameters from conditions like Parkinson's, multiple sclerosis, stroke, and Alzheimer's. While variations in methods exist, the advancements in wearable technology and best practices for data analysis underscore its potential in neurorehabilitation. This evolving field promises to enhance patient care through continuous, real-world monitoring.#HealthcareIT #WearableTech #Neurorehabilitation #FallRisk #PatientSafety #DigitalHealth #HealthInnovation

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-C5xzvT4JVqc2pYFPeXdASEu6mUm0v", "object": "chat.completion", "created": 1755538307, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Wearable sensors are revolutionizing fall risk assessment in individuals with neurological disorders, crucial for preventing hospitalization and maintaining independence. Our systematic review analyzed 19 studies involving over 2,600 patients, focusing on gait parameters from conditions like Parkinson's, multiple sclerosis, stroke, and Alzheimer's. While variations in methods exist, the advancements in wearable technology and best practices for data analysis underscore its potential in neurorehabilitation. This evolving field promises to enhance patient care through continuous, real-world monitoring. nn#HealthcareIT #WearableTech #Neurorehabilitation #FallRisk #PatientSafety #DigitalHealth #HealthInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 528, "completion_tokens": 123, "total_tokens": 651, "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 - 528
Completion Tokens - 123
Total Tokens - 651

 

Peer perceptions of clinicians using generative AI in medical decision-making

npj Digital Medicine - (Monday August 18, 2025) - Frequent Updates/ npj Digital Medicine

This study investigates how a physician’s use of generative AI (GenAI) in medical decision‑making is perceived by peer clinicians. In a randomized experiment, 276 practicing clinicians evaluated one of three vignettes depicting a physician:...

The integration of generative AI (GenAI) in medical decision-making is reshaping clinician perceptions. A recent study involving 276 clinicians revealed that those using GenAI as a primary decision-making tool received significantly lower ratings for clinical skill compared to those not using AI. Conversely, when GenAI was employed as a verification tool, perceptions improved. This highlights the importance of understanding peer perceptions as healthcare adopts AI technologies. As we navigate this evolving landscape, fostering trust and clarity in AI's role is essential for enhancing clinical practice.#HealthcareIT #GenerativeAI #MedicalDecisionMaking #DigitalHealth #AIinHealthcare #ClinicalSkills #HealthTech

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

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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.