ChatGPT Summaries
Digital Physiotherapeutic Ankle-Specific Training System for Patients With Chronic Ankle Instability Following Modified Brostrom Surgery: Noninferiority Randomized Controlled Trial at a Tertiary Grade A Trauma Center in ChinaJMIR mHealth and uHealth - (Friday December 19, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: Functional rehabilitation is commonly used for patients with chronic ankle instability (CAI). Digital training systems have become increasingly popular in postoperative rehabilitation; however, their effectiveness for CAI patients after modified Brostrom surgery is... A recent randomized controlled trial in China has shown that a digital physiotherapeutic ankle-specific training (PAST) system is clinically noninferior to traditional face-to-face physiotherapy for patients with chronic ankle instability following modified Brostrom surgery. The study, involving 84 patients, revealed comparable improvements in functional outcomes and demonstrated that the digital approach is more cost-effective, with lower average costs per patient. This highlights the potential of digital rehabilitation solutions in enhancing patient care where specialized physiotherapy resources are limited.#DigitalHealth #HealthcareIT #Physiotherapy #ChronicPain #Rehabilitation #CostEffectiveness #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. { "id": "chatcmpl-CoZcbgkRpY51wQ2cOxIYHFyDAsi9v", "object": "chat.completion", "created": 1766169365, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A recent randomized controlled trial in China has shown that a digital physiotherapeutic ankle-specific training (PAST) system is clinically noninferior to traditional face-to-face physiotherapy for patients with chronic ankle instability following modified Brostrom surgery. The study, involving 84 patients, revealed comparable improvements in functional outcomes and demonstrated that the digital approach is more cost-effective, with lower average costs per patient. This highlights the potential of digital rehabilitation solutions in enhancing patient care where specialized physiotherapy resources are limited. nn#DigitalHealth #HealthcareIT #Physiotherapy #ChronicPain #Rehabilitation #CostEffectiveness #InnovationInHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 874, "completion_tokens": 125, "total_tokens": 999, "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_ee69c2ef48" } Prompt Tokens - 874 |
Improvement in Quality of Life After Early Interactive Human Coaching via a Mobile App in Postgastrectomy Patients With Gastric Cancer: Prospective Randomized Controlled TrialJMIR mHealth and uHealth - (Friday December 19, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: Patients undergoing gastrectomy usually experience postgastrectomy syndrome and face difficulties adapting to a regular diet. Human health coaching via a mobile app has recently been applied to patients with chronic metabolic diseases, with... Harnessing technology for better health outcomes! A recent study explored the impact of mobile app-based human coaching on postgastrectomy patients with gastric cancer. While no significant difference in eating restriction was noted one month post-surgery, the mobile coaching group experienced less dyspnea, improved body image, and better quality of life over time compared to conventional counseling. Notably, younger patients and active app users reported enhanced global health status. This trial underscores the potential of digital health interventions in managing post-surgical challenges.#HealthTech #DigitalHealth #PatientCare #MobileHealth #GastricCancer #HealthcareInnovation #QualityOfLife 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. { "id": "chatcmpl-CoZbvaJkF1cMB6qFOqfR3nup3K1f9", "object": "chat.completion", "created": 1766169323, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing technology for better health outcomes! A recent study explored the impact of mobile app-based human coaching on postgastrectomy patients with gastric cancer. While no significant difference in eating restriction was noted one month post-surgery, the mobile coaching group experienced less dyspnea, improved body image, and better quality of life over time compared to conventional counseling. Notably, younger patients and active app users reported enhanced global health status. This trial underscores the potential of digital health interventions in managing post-surgical challenges. nn#HealthTech #DigitalHealth #PatientCare #MobileHealth #GastricCancer #HealthcareInnovation #QualityOfLife", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 758, "completion_tokens": 127, "total_tokens": 885, "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_ee69c2ef48" } Prompt Tokens - 758 |
Identifying Time-Variant Predictors of Interest in Completing Brief Digital Mental Health Interventions Among Adult Survivors of Cancer: Ecological Momentary Assessment StudyJMIR mHealth and uHealth - (Friday December 19, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: Digital microinterventions have strong potential to improve the lives of adults diagnosed with cancer. However, little is known about which types of digital microinterventions are most desired and how contextual factors may influence... Digital microinterventions hold transformative potential for adult cancer survivors, yet preferences vary significantly based on individual and contextual factors. A recent study involving 407 participants revealed that 87% expressed interest in completing interventions, with guided relaxation being the most favored option. Notably, higher anxiety and depression symptoms influenced preferences, shifting interest towards options like increasing positive emotions and seeking support. Momentary emotional states also played a critical role, with negative affect and pain driving intervention interest. Understanding these dynamics can enhance personalized digital mental health solutions for this population. #DigitalHealth #MentalHealth #CancerSurvivorship #HealthcareIT #PatientEngagement #PersonalizedCare #EcologicalMomentaryAssessment 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. { "id": "chatcmpl-CocHvkt5ZDiIIVpNVvLYUJk8EFSpC", "object": "chat.completion", "created": 1766179615, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Digital microinterventions hold transformative potential for adult cancer survivors, yet preferences vary significantly based on individual and contextual factors. A recent study involving 407 participants revealed that 87% expressed interest in completing interventions, with guided relaxation being the most favored option. Notably, higher anxiety and depression symptoms influenced preferences, shifting interest towards options like increasing positive emotions and seeking support. Momentary emotional states also played a critical role, with negative affect and pain driving intervention interest. Understanding these dynamics can enhance personalized digital mental health solutions for this population. #DigitalHealth #MentalHealth #CancerSurvivorship #HealthcareIT #PatientEngagement #PersonalizedCare #EcologicalMomentaryAssessment", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 750, "completion_tokens": 134, "total_tokens": 884, "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_ee69c2ef48" } Prompt Tokens - 750 |
Application of artificial intelligence to measure and predict patient values and preferences: a scoping reviewnpj Digital Medicine - (Friday December 19, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Patients’ voices are often difficult to capture directly in healthcare decisions. This scoping review examines how artificial intelligence (AI) has been applied to measure and predict patient values and preferences, aiming to evaluate its... Artificial intelligence (AI) is revolutionizing how we measure and predict patient values and preferences in healthcare. A recent scoping review analyzed 67 studies, revealing AI's potential to extract insights from diverse data sources like social media and clinical records. While AI shows promising accuracy in data processing (over 80%), challenges such as data quality, ethical concerns, and lack of real-world validation persist. This review highlights the need for transparency and real-world applications to align healthcare delivery with patient needs. Embracing AI can enhance patient-centered care and decision-making processes.#HealthcareIT #ArtificialIntelligence #PatientCare #HealthTech #DataAnalytics #PatientEngagement #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. { "id": "chatcmpl-CobfmYWrXaoyLd7Nne2mQ8NXO1uoL", "object": "chat.completion", "created": 1766177250, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Artificial intelligence (AI) is revolutionizing how we measure and predict patient values and preferences in healthcare. A recent scoping review analyzed 67 studies, revealing AI's potential to extract insights from diverse data sources like social media and clinical records. While AI shows promising accuracy in data processing (over 80%), challenges such as data quality, ethical concerns, and lack of real-world validation persist. This review highlights the need for transparency and real-world applications to align healthcare delivery with patient needs. Embracing AI can enhance patient-centered care and decision-making processes. nn#HealthcareIT #ArtificialIntelligence #PatientCare #HealthTech #DataAnalytics #PatientEngagement #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 30817, "completion_tokens": 135, "total_tokens": 30952, "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_ee69c2ef48" } Prompt Tokens - 30817 |
An Automated Classifier of Harmful Brain Activities for Clinical Usage Based on a Vision-Inspired Pre-trained Frameworknpj Digital Medicine - (Friday December 19, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Timely identification of harmful brain activities via electroencephalography (EEG) is critical for brain disease diagnosis and treatment, which remains limited in application due to inter-rater variability, resource constraints, and poor generalizability of existing artificial... Exciting advancements in EEG analysis are here! The newly developed VIPEEGNet classifier leverages transfer learning from ImageNet to accurately identify harmful brain activities. With recall rates between 36.8% and 88.2%, and a Kullback-Leibler divergence score ranking second among 2767 algorithms, this model demonstrates significant potential for clinical applications. Its lightweight design, utilizing only 0.7% of the parameters of top competitors, makes it a viable solution for real-time monitoring in resource-limited settings. This innovation bridges the gap between computer vision and EEG analysis, paving the way for improved patient care. #HealthcareIT #AIinMedicine #EEG #Neuroscience #DigitalHealth #MachineLearning #ClinicalInnovation 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. { "id": "chatcmpl-CobfCRTx0ZqUDfM74bPQTMW8gG5On", "object": "chat.completion", "created": 1766177214, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in EEG analysis are here! The newly developed VIPEEGNet classifier leverages transfer learning from ImageNet to accurately identify harmful brain activities. With recall rates between 36.8% and 88.2%, and a Kullback-Leibler divergence score ranking second among 2767 algorithms, this model demonstrates significant potential for clinical applications. Its lightweight design, utilizing only 0.7% of the parameters of top competitors, makes it a viable solution for real-time monitoring in resource-limited settings. This innovation bridges the gap between computer vision and EEG analysis, paving the way for improved patient care. #HealthcareIT #AIinMedicine #EEG #Neuroscience #DigitalHealth #MachineLearning #ClinicalInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28016, "completion_tokens": 149, "total_tokens": 28165, "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_ee69c2ef48" } Prompt Tokens - 28016 |
How do you balance innovation and everything that’s happening with AI and security?Healthcare IT Today - (Thursday December 18, 2025) - Healthcare IT Today/ Videos | |
![]() | Healthcare leaders are under pressure to move fast with AI—but not at the expense of security or their teams.Tim Lankes discusses how organizations can enable innovation while addressing workforce fears and building confidence in... In the rapidly evolving landscape of healthcare IT, balancing innovation with security is paramount. Tim Lankes emphasizes the need for healthcare leaders to embrace AI advancements without compromising team safety or data integrity. By fostering a culture of confidence in AI, organizations can address workforce concerns while driving innovation. This approach not only mitigates risks but also empowers teams to harness AI's potential effectively. As we navigate this dual challenge, collaboration and transparency will be key to successful implementation.#HealthcareIT #AI #Innovation #Cybersecurity #HealthTech #Leadership #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. { "id": "chatcmpl-CoxUBcAFhT6l3n32DO5zGGhHEfgtq", "object": "chat.completion", "created": 1766261099, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the rapidly evolving landscape of healthcare IT, balancing innovation with security is paramount. Tim Lankes emphasizes the need for healthcare leaders to embrace AI advancements without compromising team safety or data integrity. By fostering a culture of confidence in AI, organizations can address workforce concerns while driving innovation. This approach not only mitigates risks but also empowers teams to harness AI's potential effectively. As we navigate this dual challenge, collaboration and transparency will be key to successful implementation. nn#HealthcareIT #AI #Innovation #Cybersecurity #HealthTech #Leadership #DigitalTransformation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 229, "completion_tokens": 110, "total_tokens": 339, "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_644f11dd4d" } Prompt Tokens - 229 |
Noom taps Ash for at-home testing for GLP-1 microdosing programMobiHealthNews - (Thursday December 18, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Noom taps Ash for at-home testing for GLP-1 microdosing program | MobiHealthNews Skip to main content... Noom is revolutionizing weight management by partnering with Ash to implement at-home testing for its GLP-1 microdosing program. This innovative approach aims to enhance patient engagement and streamline the monitoring process, making it easier for individuals to manage their health from the comfort of their homes. By leveraging technology, Noom and Ash are setting a new standard in personalized healthcare, emphasizing the importance of accessible solutions in chronic disease management. As healthcare IT professionals, we must explore how such collaborations can drive better outcomes and improve patient experiences.#HealthcareIT #DigitalHealth #Telemedicine #PatientEngagement #ChronicCare #HealthTech #Innovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CoaHIvqiJKSD85A1euH7fuKdbAcue", "object": "chat.completion", "created": 1766171888, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Noom is revolutionizing weight management by partnering with Ash to implement at-home testing for its GLP-1 microdosing program. This innovative approach aims to enhance patient engagement and streamline the monitoring process, making it easier for individuals to manage their health from the comfort of their homes. By leveraging technology, Noom and Ash are setting a new standard in personalized healthcare, emphasizing the importance of accessible solutions in chronic disease management. As healthcare IT professionals, we must explore how such collaborations can drive better outcomes and improve patient experiences. nn#HealthcareIT #DigitalHealth #Telemedicine #PatientEngagement #ChronicCare #HealthTech #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 290, "completion_tokens": 128, "total_tokens": 418, "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_ee69c2ef48" } Prompt Tokens - 290 |
Rural Healthcare Navigates Uncertainty Amid Budgetary ConcernsHealthTech Magazine - (Thursday December 18, 2025) - Frequent Updates/ HealthTech Magazine | |
![]() | More than 57 million Americans living in rural communities rely on a hospital for health, economic and social factors, according to the American Hospital Association. Yet many rural providers have had to operate in a... Rural healthcare is facing significant challenges as budgetary constraints loom. With over 57 million Americans relying on these essential services, many rural providers are grappling with funding ambiguity, particularly following cuts to Medicaid and uncertainties surrounding the $50 billion rural health transformation fund. As leaders navigate these precarious waters, collaboration with technology partners becomes crucial, enabling access to resources that can enhance care delivery. Despite the obstacles, funding avenues remain, including the Rural Health Care Program and cybersecurity initiatives from major tech companies. The resilience of rural healthcare is vital for community health. #RuralHealthcare #HealthcareIT #Funding #Collaboration #Telehealth #Cybersecurity #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. { "id": "chatcmpl-CoYM3Ezu4ojfRH8wNZChw2KjPkRIs", "object": "chat.completion", "created": 1766164495, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Rural healthcare is facing significant challenges as budgetary constraints loom. With over 57 million Americans relying on these essential services, many rural providers are grappling with funding ambiguity, particularly following cuts to Medicaid and uncertainties surrounding the $50 billion rural health transformation fund. As leaders navigate these precarious waters, collaboration with technology partners becomes crucial, enabling access to resources that can enhance care delivery. Despite the obstacles, funding avenues remain, including the Rural Health Care Program and cybersecurity initiatives from major tech companies. The resilience of rural healthcare is vital for community health. #RuralHealthcare #HealthcareIT #Funding #Collaboration #Telehealth #Cybersecurity #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5015, "completion_tokens": 131, "total_tokens": 5146, "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_ee69c2ef48" } Prompt Tokens - 5015 |
Healthcare 2026 Forecast: Executives on AI Survival, Financial Reckoning, and the End of Point SolutionsHIT Consultant - (Thursday December 18, 2025) - Frequent Updates/ HIT Consultant | |
![]() | As we peer into the healthcare horizon of 2026, a singular theme crystallizes among industry leaders: the transition from aspirational innovation to operational necessity. The executive predictions for the coming year depict a sector... As we approach 2026, healthcare leaders emphasize a pivotal shift from fragmented solutions to integrated ecosystems. The focus is on operationalizing AI with "glass-box" transparency, enhancing accuracy, and dismantling silos between payers, providers, and patients. Geopolitical changes are driving local biopharma supply chains, while AI is set to revolutionize rural care and personalized health. The era of point solutions is ending, giving way to cohesive systems that prioritize patient-centric care. With financial pressures mounting, organizations must adapt to thrive. The future of healthcare hinges on collaboration, transparency, and innovative technology.#HealthcareIT #AIinHealthcare #DigitalTransformation #ValueBasedCare #PatientExperience #Cybersecurity #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. { "id": "chatcmpl-CoZS1h5TxNIfX8NGmduvI6E7WkIP2", "object": "chat.completion", "created": 1766168709, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "As we approach 2026, healthcare leaders emphasize a pivotal shift from fragmented solutions to integrated ecosystems. The focus is on operationalizing AI with "glass-box" transparency, enhancing accuracy, and dismantling silos between payers, providers, and patients. Geopolitical changes are driving local biopharma supply chains, while AI is set to revolutionize rural care and personalized health. The era of point solutions is ending, giving way to cohesive systems that prioritize patient-centric care. With financial pressures mounting, organizations must adapt to thrive. The future of healthcare hinges on collaboration, transparency, and innovative technology. nn#HealthcareIT #AIinHealthcare #DigitalTransformation #ValueBasedCare #PatientExperience #Cybersecurity #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 6451, "completion_tokens": 145, "total_tokens": 6596, "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_ee69c2ef48" } Prompt Tokens - 6451 |
The “Second Opinion” Era: Why 86% of Clinicians Now Trust AI to Catch Missed DetailsHIT Consultant - (Thursday December 18, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – New flagship research from athenahealth’s intelligence hub reveals a critical maturity milestone in healthcare AI: the shift from experimental admin tools to trusted clinical partners. – A national survey of 501... The healthcare landscape is evolving as AI transitions from a supportive tool to a trusted clinical partner. Recent research from athenahealth reveals that 86% of clinicians now rely on AI to catch missed details in patient records, marking a significant shift in trust. While 62% of practices utilize multiple AI tools, interoperability challenges persist, with nearly half struggling to access crucial data. This evolution underscores AI's role in enhancing clinical outcomes and improving patient engagement, allowing clinicians to focus on meaningful interactions. The future of healthcare is here, and it’s powered by AI. #HealthcareIT #AIinHealthcare #ClinicalDecisionSupport #Interoperability #PatientEngagement #DigitalHealth #HealthTech As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-CoaGaYtYGeCTce4EGufUHOcPVOV1f", "object": "chat.completion", "created": 1766171844, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The healthcare landscape is evolving as AI transitions from a supportive tool to a trusted clinical partner. Recent research from athenahealth reveals that 86% of clinicians now rely on AI to catch missed details in patient records, marking a significant shift in trust. While 62% of practices utilize multiple AI tools, interoperability challenges persist, with nearly half struggling to access crucial data. This evolution underscores AI's role in enhancing clinical outcomes and improving patient engagement, allowing clinicians to focus on meaningful interactions. The future of healthcare is here, and it’s powered by AI. #HealthcareIT #AIinHealthcare #ClinicalDecisionSupport #Interoperability #PatientEngagement #DigitalHealth #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1075, "completion_tokens": 136, "total_tokens": 1211, "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_ee69c2ef48" } Prompt Tokens - 1075 |











