ChatGPT Summaries
CMS Launches Cell and Gene Therapy (CGT) Access Model for Medicaid Sickle Cell PatientsHIT Consultant - (Wednesday July 16, 2025) - Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – The Centers for Medicare & Medicaid Services (CMS) launches its Cell and Gene Therapy (CGT) Access Model, a new approach to delivering cutting-edge treatments for people on Medicaid living with... The CMS has launched the Cell and Gene Therapy (CGT) Access Model, revolutionizing Medicaid access for sickle cell patients across 33 states, representing 84% of affected beneficiaries. This innovative model introduces outcomes-based agreements with CGT manufacturers, ensuring discounts if therapies underperform. With federal support and flexible implementation timelines, this initiative aims to enhance patient health while optimizing Medicaid resources. As we embrace cutting-edge therapies, the commitment to improving quality of life for those with sickle cell disease is clearer than ever.#HealthcareIT #SickleCellDisease #GeneTherapy #Medicaid #PatientCare #Innovation #HealthEquity 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-Btpw9HdASPaKR772o8QPK9Yg8McVf", "object": "chat.completion", "created": 1752647385, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The CMS has launched the Cell and Gene Therapy (CGT) Access Model, revolutionizing Medicaid access for sickle cell patients across 33 states, representing 84% of affected beneficiaries. This innovative model introduces outcomes-based agreements with CGT manufacturers, ensuring discounts if therapies underperform. With federal support and flexible implementation timelines, this initiative aims to enhance patient health while optimizing Medicaid resources. As we embrace cutting-edge therapies, the commitment to improving quality of life for those with sickle cell disease is clearer than ever. nn#HealthcareIT #SickleCellDisease #GeneTherapy #Medicaid #PatientCare #Innovation #HealthEquity", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 728, "completion_tokens": 128, "total_tokens": 856, "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": null } Prompt Tokens - 728 |
New Strategies Needed: No Surprises Act and the Challenges for Payors with Provider Data InaccuraciesHIT Consultant - (Wednesday July 16, 2025) - Frequent Updates/ HIT Consultant | |
![]() | David Van Houtte, Chief Growth Officer at SantechWith more than 20 years of experience at a major health insurance company, I’ve seen firsthand how challenging provider data management can be. I’ve worked with teams... The No Surprises Act (NSA) has shifted the burden of provider data accuracy to payors, making it a critical compliance issue rather than just a best practice. With 81% of provider directories containing inaccuracies, the stakes are high—financially and reputationally. Payors must verify provider information every 90 days and respond to patient inquiries swiftly. This challenge requires a strategic overhaul of data management systems to ensure automation, interoperability, and real-time updates. As the landscape evolves, those who embrace effective provider data management will enhance trust and operational efficiency, while others risk penalties and member dissatisfaction.#HealthcareIT #NoSurprisesAct #ProviderData #Compliance #DataManagement #HealthInsurance #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. { "id": "chatcmpl-Bts28yyKajSnJiwGRI0lElQiO1P4h", "object": "chat.completion", "created": 1752655444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The No Surprises Act (NSA) has shifted the burden of provider data accuracy to payors, making it a critical compliance issue rather than just a best practice. With 81% of provider directories containing inaccuracies, the stakes are high—financially and reputationally. Payors must verify provider information every 90 days and respond to patient inquiries swiftly. This challenge requires a strategic overhaul of data management systems to ensure automation, interoperability, and real-time updates. As the landscape evolves, those who embrace effective provider data management will enhance trust and operational efficiency, while others risk penalties and member dissatisfaction. nn#HealthcareIT #NoSurprisesAct #ProviderData #Compliance #DataManagement #HealthInsurance #PatientExperience", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1329, "completion_tokens": 143, "total_tokens": 1472, "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": null } Prompt Tokens - 1329 |
Communication strategies driving online health community patient awareness and engagement investigated within atrial fibrillation contextnpj Digital Medicine - (Wednesday July 16, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Online health communities (OHCs) enhance personalized care by connecting patients, professionals and leveraging patient-reported outcomes. This study investigates how communication elements (emotions, patient-generated topics, appeals, and linguistic style) affect patient awareness (click-through-rate) and engagement... In a recent study, communication strategies within online health communities (OHCs) were examined to enhance patient awareness and engagement, particularly for atrial fibrillation (AF). The research revealed that emotional appeals, patient-generated topics, and expert testimonials significantly impacted engagement metrics, such as click-through rates and average engagement time. Fear was effective for self-protection topics, while love resonated with kin care. These insights can guide healthcare managers in optimizing communication strategies to foster patient involvement and improve health outcomes.#HealthcareIT #PatientEngagement #DigitalHealth #AtrialFibrillation #HealthCommunication #OHC #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-BtlEQxnczeHLqNzFjoC9mQOMZzR1f", "object": "chat.completion", "created": 1752629298, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent study, communication strategies within online health communities (OHCs) were examined to enhance patient awareness and engagement, particularly for atrial fibrillation (AF). The research revealed that emotional appeals, patient-generated topics, and expert testimonials significantly impacted engagement metrics, such as click-through rates and average engagement time. Fear was effective for self-protection topics, while love resonated with kin care. These insights can guide healthcare managers in optimizing communication strategies to foster patient involvement and improve health outcomes. nn#HealthcareIT #PatientEngagement #DigitalHealth #AtrialFibrillation #HealthCommunication #OHC #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 31781, "completion_tokens": 125, "total_tokens": 31906, "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": null } Prompt Tokens - 31781 |
Predictive modeling for step II therapy response in periodontitis – model development and validationnpj Digital Medicine - (Wednesday July 16, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Steps I and II periodontal therapy is the first-line treatment for periodontal disease, but has varying success. This study aimed to develop machine learning models to predict changes in periodontal probing depth (PPD) after... Exciting advancements in predictive modeling for periodontal therapy are on the horizon! A recent study developed machine learning models to predict therapy responses in periodontitis, utilizing patient-, tooth-, and site-specific data. The models showed promising accuracy in predicting pocket improvement and closure, with baseline probing depth emerging as a critical factor. While performance varies, these models pave the way for more personalized treatment plans and enhanced patient communication. This work highlights the potential of AI in transforming periodontal care.#HealthcareIT #MachineLearning #PredictiveModeling #Periodontitis #DigitalHealth #AIinHealthcare #PrecisionMedicine 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-BtilRxxkTf3FU8eZysQRQfFZf3lmD", "object": "chat.completion", "created": 1752619813, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in predictive modeling for periodontal therapy are on the horizon! A recent study developed machine learning models to predict therapy responses in periodontitis, utilizing patient-, tooth-, and site-specific data. The models showed promising accuracy in predicting pocket improvement and closure, with baseline probing depth emerging as a critical factor. While performance varies, these models pave the way for more personalized treatment plans and enhanced patient communication. This work highlights the potential of AI in transforming periodontal care. nn#HealthcareIT #MachineLearning #PredictiveModeling #Periodontitis #DigitalHealth #AIinHealthcare #PrecisionMedicine", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 27556, "completion_tokens": 119, "total_tokens": 27675, "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": null } Prompt Tokens - 27556 |
Parental and Demographic Predictors of Engagement in an mHealth Intervention: Observational Study From the Let’s Grow TrialJMIR mHealth and uHealth - (Wednesday July 16, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: Parents are integral in shaping early childhood health behaviors, and mobile health (mHealth) interventions offer an accessible method of supporting them in this role. Optimizing participant engagement is key to mHealth effectiveness and... Engagement in mHealth interventions is crucial for early childhood health behaviors. The Let’s Grow trial revealed that 89.3% of parents utilized the app, but engagement declined significantly over 25 weeks. Key predictors of engagement included family demographics, parental coping, and education levels. Higher education correlated with increased engagement, while factors like more work hours and living arrangements were linked to lower engagement. These insights emphasize the need for tailored strategies to enhance participation in digital health initiatives. Understanding these dynamics can drive more effective mHealth solutions for families. #mHealth #DigitalHealth #ParentalEngagement #HealthTech #ChildHealth #BehaviorChange #HealthcareIT 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-Btir50hOeny0EPnW1Gj8C5QbRGHKf", "object": "chat.completion", "created": 1752620163, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Engagement in mHealth interventions is crucial for early childhood health behaviors. The Let’s Grow trial revealed that 89.3% of parents utilized the app, but engagement declined significantly over 25 weeks. Key predictors of engagement included family demographics, parental coping, and education levels. Higher education correlated with increased engagement, while factors like more work hours and living arrangements were linked to lower engagement. These insights emphasize the need for tailored strategies to enhance participation in digital health initiatives. Understanding these dynamics can drive more effective mHealth solutions for families. #mHealth #DigitalHealth #ParentalEngagement #HealthTech #ChildHealth #BehaviorChange #HealthcareIT", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 768, "completion_tokens": 130, "total_tokens": 898, "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": null } Prompt Tokens - 768 |
Deep adaptive learning predicts and diagnoses CSVD-related cognitive decline using radiomics from T2-FLAIR: a multi-centre studynpj Digital Medicine - (Wednesday July 16, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Early identification of cerebral small vessel disease related cognitive impairment (CSVD-CI) is crucial for timely clinical intervention. We developed a Transformer-based deep learning model using white matter hyperintensity (WMH) radiomics features from T2-fluid-attenuated inversion... Exciting advancements in healthcare IT! A recent study reveals a Transformer-based deep learning model that effectively predicts and diagnoses cognitive decline related to cerebral small vessel disease (CSVD) using radiomics from T2-FLAIR images. This model, validated across multiple centers, achieved impressive AUCs of 0.841 in training and 0.859 in external validation. It highlights the significance of white matter hyperintensity features, providing a non-invasive tool for early detection of cognitive impairment. This innovation could reshape diagnostic approaches in clinical settings.#HealthcareIT #DeepLearning #CognitiveHealth #Radiomics #ArtificialIntelligence #Neuroscience #MedicalImaging 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-BtgHVyaf2iNmKxthA9jSgQiK59zqP", "object": "chat.completion", "created": 1752610269, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare IT! A recent study reveals a Transformer-based deep learning model that effectively predicts and diagnoses cognitive decline related to cerebral small vessel disease (CSVD) using radiomics from T2-FLAIR images. This model, validated across multiple centers, achieved impressive AUCs of 0.841 in training and 0.859 in external validation. It highlights the significance of white matter hyperintensity features, providing a non-invasive tool for early detection of cognitive impairment. This innovation could reshape diagnostic approaches in clinical settings. nn#HealthcareIT #DeepLearning #CognitiveHealth #Radiomics #ArtificialIntelligence #Neuroscience #MedicalImaging", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 36146, "completion_tokens": 134, "total_tokens": 36280, "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": null } Prompt Tokens - 36146 |
News 7/16/25HIStalk - (Tuesday July 15, 2025) - Daily Reads/ HIStalk | |
![]() | Top NewsUniversity of Maryland Medical System launches supply chain technology vendor Gallion Health. It is the first spinoff from UMMS’s innovation center.Sponsored Events and ResourcesJuly 22 (Tuesday) 1 ET. “Innovating the Consumer Experience Beyond the... 🚀 Exciting times in healthcare IT! The University of Maryland Medical System has launched Gallion Health, its first supply chain technology spinoff. As consumer expectations rise, a webinar on July 22 will explore how open standards like HL7 FHIR can enhance integration and reduce costs, enabling innovation beyond EHRs. Additionally, notable advancements include Allina Health's implementation of AI chart summarization and Cleveland Clinic's pilot of virtual dementia care. These developments highlight the critical need for collaboration and open technology in driving efficiency and improving patient care.#HealthcareIT #DigitalHealth #Innovation #HealthTech #EHR #AIinHealthcare #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. { "id": "chatcmpl-BthQ8NFVmQn1xheRt7ajV3ZHckerK", "object": "chat.completion", "created": 1752614648, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting times in healthcare IT! The University of Maryland Medical System has launched Gallion Health, its first supply chain technology spinoff. As consumer expectations rise, a webinar on July 22 will explore how open standards like HL7 FHIR can enhance integration and reduce costs, enabling innovation beyond EHRs. Additionally, notable advancements include Allina Health's implementation of AI chart summarization and Cleveland Clinic's pilot of virtual dementia care. These developments highlight the critical need for collaboration and open technology in driving efficiency and improving patient care. nn#HealthcareIT #DigitalHealth #Innovation #HealthTech #EHR #AIinHealthcare #PatientExperience", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1156, "completion_tokens": 131, "total_tokens": 1287, "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": null } Prompt Tokens - 1156 |
Teladoc Health Launches Wellbound Employee Assistance ProgramHIT Consultant - (Tuesday July 15, 2025) - Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Teladoc Health (NYSE: TDOC), the global leader in virtual care, today announced the launch of Wellbound, a bold new employee assistance program (EAP) designed to empower a more engaged, healthier workforce.– The... Teladoc Health has launched Wellbound, an innovative Employee Assistance Program (EAP) aimed at fostering a healthier, more engaged workforce. This integrated platform addresses the common challenges of traditional EAPs by providing continuous, personalized support for mental health and well-being. With services ranging from online therapy to life coaching, Wellbound ensures seamless access to Teladoc's extensive virtual care ecosystem. As organizations seek unified, outcome-driven solutions, Wellbound empowers them to deliver impactful support that adapts to the evolving needs of employees. This initiative reinforces Teladoc's leadership in virtual mental health care delivery. #HealthcareIT #Telehealth #EmployeeWellness #MentalHealth #DigitalHealth #EAP #WorkplaceWellness 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-BtfZ8mpmxWrQ4vZO8C1ReGXROd9Y1", "object": "chat.completion", "created": 1752607518, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Teladoc Health has launched Wellbound, an innovative Employee Assistance Program (EAP) aimed at fostering a healthier, more engaged workforce. This integrated platform addresses the common challenges of traditional EAPs by providing continuous, personalized support for mental health and well-being. With services ranging from online therapy to life coaching, Wellbound ensures seamless access to Teladoc's extensive virtual care ecosystem. As organizations seek unified, outcome-driven solutions, Wellbound empowers them to deliver impactful support that adapts to the evolving needs of employees. This initiative reinforces Teladoc's leadership in virtual mental health care delivery. #HealthcareIT #Telehealth #EmployeeWellness #MentalHealth #DigitalHealth #EAP #WorkplaceWellness", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 709, "completion_tokens": 144, "total_tokens": 853, "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": null } Prompt Tokens - 709 |
Google Forms Consumer Health Advisory Panel: Elevating Health Tech with Expert Guidance and Responsible AIHIT Consultant - (Tuesday July 15, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – Google announced the formation of its Consumer Health Advisory Panel, a team of external experts who will provide clinical and scientific guidance to support the company’s ongoing commitment to building... 🚀 Google is taking a significant step in health tech innovation with its new Consumer Health Advisory Panel. This team of esteemed experts will guide the responsible development of generative AI and health technologies, ensuring personalized health insights are credible and impactful. By formalizing its commitment to scientific validation and expert collaboration, Google aims to enhance daily health experiences for users. With leaders from diverse fields, the panel is poised to shape the future of health and wellness.#HealthTech #AIinHealthcare #DigitalHealth #HealthInnovation #ConsumerHealth #PersonalizedMedicine #HealthInsights 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-BtfY4sxSwpCP6OXEAMxytdpCFaL7F", "object": "chat.completion", "created": 1752607452, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Google is taking a significant step in health tech innovation with its new Consumer Health Advisory Panel. This team of esteemed experts will guide the responsible development of generative AI and health technologies, ensuring personalized health insights are credible and impactful. By formalizing its commitment to scientific validation and expert collaboration, Google aims to enhance daily health experiences for users. With leaders from diverse fields, the panel is poised to shape the future of health and wellness. nn#HealthTech #AIinHealthcare #DigitalHealth #HealthInnovation #ConsumerHealth #PersonalizedMedicine #HealthInsights", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 823, "completion_tokens": 112, "total_tokens": 935, "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": null } Prompt Tokens - 823 |
Eko Health’s Telehealth Platform Expands Across 800 HospitalsHIT Consultant - (Tuesday July 15, 2025) - Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Eko Health, a leader in AI-powered cardiac and pulmonary care, announced today that its telehealth platform is now used by health systems that operate over 800 hospitals across the U.S.– By... Eko Health is revolutionizing telehealth with its AI-powered platform now utilized by over 800 hospitals nationwide. By enabling real-time streaming of high-fidelity heart and lung sounds, Eko enhances remote diagnostics, allowing clinicians to deliver accurate assessments from anywhere. With over 650,000 devices deployed globally, Eko's web-based platform integrates seamlessly into existing workflows, supporting diverse use cases like hospital-at-home programs and virtual nursing. As a member of the American Telemedicine Association, Eko is committed to advancing interoperable care models, bridging the gap between physical exams and remote healthcare.#Telehealth #HealthcareIT #DigitalHealth #AIinHealthcare #RemoteCare #PatientOutcomes #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-Btln3v8iMMlc9HGLIaWjA4Talu9lP", "object": "chat.completion", "created": 1752631445, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Eko Health is revolutionizing telehealth with its AI-powered platform now utilized by over 800 hospitals nationwide. By enabling real-time streaming of high-fidelity heart and lung sounds, Eko enhances remote diagnostics, allowing clinicians to deliver accurate assessments from anywhere. With over 650,000 devices deployed globally, Eko's web-based platform integrates seamlessly into existing workflows, supporting diverse use cases like hospital-at-home programs and virtual nursing. As a member of the American Telemedicine Association, Eko is committed to advancing interoperable care models, bridging the gap between physical exams and remote healthcare. nn#Telehealth #HealthcareIT #DigitalHealth #AIinHealthcare #RemoteCare #PatientOutcomes #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 640, "completion_tokens": 141, "total_tokens": 781, "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": null } Prompt Tokens - 640 |










