ChatGPT Summaries
Sleep.ai Raises $5.5M to Lead AI-Powered Sleep Intelligence MarketHIT Consultant - (Tuesday August 26, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Sleep.ai, formerly known as SleepScore Labs secures $5.5M in venture funding led by Treasure Coast Ventures, with participation from Nurture Ventures, the Harvard Business School Alumni Angels of Greater New... Sleep.ai, formerly SleepScore Labs, has secured $5.5M in funding to revolutionize the AI-powered sleep intelligence market. This investment will enhance commercialization and expand partner integrations across health, wellness, and insurance sectors. With over 800 million hours of proprietary sleep data and a robust foundation in sleep science, Sleep.ai aims to address the urgent need for scalable sleep health solutions. Their platform offers personalized insights, transforming complex data into actionable intelligence for healthcare providers and wellness companies. As CEO Colin Lawlor states, "Our AI interprets data in a way no human could," paving the way for improved health outcomes. #HealthcareIT #AI #SleepHealth #DigitalHealth #HealthTech #Innovation #SleepScience 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-C8wzt5kbHwVvP5SXQ91eWPjpbaFuR", "object": "chat.completion", "created": 1756249445, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Sleep.ai, formerly SleepScore Labs, has secured $5.5M in funding to revolutionize the AI-powered sleep intelligence market. This investment will enhance commercialization and expand partner integrations across health, wellness, and insurance sectors. With over 800 million hours of proprietary sleep data and a robust foundation in sleep science, Sleep.ai aims to address the urgent need for scalable sleep health solutions. Their platform offers personalized insights, transforming complex data into actionable intelligence for healthcare providers and wellness companies. As CEO Colin Lawlor states, "Our AI interprets data in a way no human could," paving the way for improved health outcomes. #HealthcareIT #AI #SleepHealth #DigitalHealth #HealthTech #Innovation #SleepScience", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 783, "completion_tokens": 143, "total_tokens": 926, "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 - 783 |
Eli Lilly’s Oral GLP-1 Orforglipron Successful in Third Phase 3 TrialHIT Consultant - (Tuesday August 26, 2025) - Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Eli Lilly and Company has announced positive topline results from its Phase 3 ATTAIN-2 trial, which evaluated orforglipron, an investigational oral GLP-1 receptor agonist, in adults with obesity or overweight... Eli Lilly's Phase 3 ATTAIN-2 trial for the oral GLP-1 receptor agonist orforglipron has yielded promising results, demonstrating significant weight loss and A1C reductions in adults with obesity or type 2 diabetes. The highest dose achieved an average weight loss of 10.5% and a substantial decrease in A1C levels, with 75% of participants reaching diabetes remission criteria. Additionally, orforglipron showed improvements in cardiometabolic health markers while maintaining a safety profile consistent with injectable GLP-1s. As Lilly prepares for global regulatory submissions, this innovative oral therapy could transform treatment options for patients. #HealthcareIT #DiabetesCare #ClinicalTrials #ObesityManagement #PharmaInnovation #CardiometabolicHealth #GLP1ReceptorAgonists 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-C8xvyCyIiu7mAJOyJ7faZKBNCOpoS", "object": "chat.completion", "created": 1756253046, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Eli Lilly's Phase 3 ATTAIN-2 trial for the oral GLP-1 receptor agonist orforglipron has yielded promising results, demonstrating significant weight loss and A1C reductions in adults with obesity or type 2 diabetes. The highest dose achieved an average weight loss of 10.5% and a substantial decrease in A1C levels, with 75% of participants reaching diabetes remission criteria. Additionally, orforglipron showed improvements in cardiometabolic health markers while maintaining a safety profile consistent with injectable GLP-1s. As Lilly prepares for global regulatory submissions, this innovative oral therapy could transform treatment options for patients. #HealthcareIT #DiabetesCare #ClinicalTrials #ObesityManagement #PharmaInnovation #CardiometabolicHealth #GLP1ReceptorAgonists", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 789, "completion_tokens": 167, "total_tokens": 956, "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 - 789 |
Systematic review of cost effectiveness and budget impact of artificial intelligence in healthcarenpj Digital Medicine - (Tuesday August 26, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | This systematic review examines the cost-effectiveness, utility, and budget impact of clinical artificial intelligence (AI) interventions across diverse healthcare settings. Nineteen studies spanning oncology, cardiology, ophthalmology, and infectious diseases demonstrate that AI improves diagnostic... Artificial Intelligence (AI) is revolutionizing healthcare, but its economic implications remain complex. A systematic review of 19 studies highlights AI's potential to enhance diagnostic accuracy, improve quality-adjusted life years, and reduce costs by optimizing resource use. However, many evaluations rely on static models, potentially overstating benefits. Key findings emphasize the need for dynamic modeling that captures AI's evolving capabilities and a comprehensive approach to cost evaluations, including indirect costs and equity considerations. As AI continues to integrate into clinical practice, robust economic assessments will be crucial for informed policy-making. #HealthcareIT #ArtificialIntelligence #HealthEconomics #DigitalHealth #CostEffectiveness #AIinHealthcare #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. { "id": "chatcmpl-C8pdMjUxxmJih8Ad9SnnGnIOPpvJi", "object": "chat.completion", "created": 1756221140, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Artificial Intelligence (AI) is revolutionizing healthcare, but its economic implications remain complex. A systematic review of 19 studies highlights AI's potential to enhance diagnostic accuracy, improve quality-adjusted life years, and reduce costs by optimizing resource use. However, many evaluations rely on static models, potentially overstating benefits. Key findings emphasize the need for dynamic modeling that captures AI's evolving capabilities and a comprehensive approach to cost evaluations, including indirect costs and equity considerations. As AI continues to integrate into clinical practice, robust economic assessments will be crucial for informed policy-making. #HealthcareIT #ArtificialIntelligence #HealthEconomics #DigitalHealth #CostEffectiveness #AIinHealthcare #HealthInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 27312, "completion_tokens": 136, "total_tokens": 27448, "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 - 27312 |
Why Doctors Should Use AI | |
![]() | Would you want your doctor using AI?These HIMSS members say yes. And not just for convenience—AI can sharpen clinical judgment, strengthen care plans, and make room for better conversations between patients and providers.Learn more... AI is transforming healthcare, and doctors are embracing it! HIMSS members highlight how AI enhances clinical judgment, strengthens care plans, and fosters meaningful patient-provider conversations. By integrating AI into practice, healthcare professionals can improve outcomes and streamline workflows. The future of medicine is here, and it's powered by technology. Are you ready to harness the potential of AI in your practice?#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #ClinicalInnovation #HIMSS 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-C8qILA0rop6vezGkSCsDARIwxjLsK", "object": "chat.completion", "created": 1756223681, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI is transforming healthcare, and doctors are embracing it! HIMSS members highlight how AI enhances clinical judgment, strengthens care plans, and fosters meaningful patient-provider conversations. By integrating AI into practice, healthcare professionals can improve outcomes and streamline workflows. The future of medicine is here, and it's powered by technology. Are you ready to harness the potential of AI in your practice? nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthTech #PatientCare #ClinicalInnovation #HIMSS", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 191, "completion_tokens": 97, "total_tokens": 288, "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 - 191 |
How League is Driving Towards a N of 1 in HealthcareHealthcare IT Today - (Tuesday August 26, 2025) - Healthcare IT Today/ Videos | |
![]() | Personalization in healthcare often stops at broad labels like “diabetic” or “post-op patient.” But what if every person’s care prompts were based on their exact needs, timing, and preferences? That’s the N of 1... In a world where healthcare often categorizes patients into broad labels, League is championing the N of 1 approach—personalized care tailored to individual needs and preferences. CEO Mike Serbinis emphasizes leveraging existing data from EMRs, claims, and wearables to enhance patient engagement and drive healthier outcomes. By acting on available data rather than waiting for perfection, healthcare IT leaders can initiate meaningful change. This innovative strategy not only addresses the shortcomings of traditional personalization but also sets the stage for a more individualized healthcare experience.#digitalhealth #HealthIT #HealthcareIT #PatientEngagement #PersonalizedMedicine #DataDriven #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-C8zxPr8PztEUjJz4024RnQadTEX3S", "object": "chat.completion", "created": 1756260823, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a world where healthcare often categorizes patients into broad labels, League is championing the N of 1 approach—personalized care tailored to individual needs and preferences. CEO Mike Serbinis emphasizes leveraging existing data from EMRs, claims, and wearables to enhance patient engagement and drive healthier outcomes. By acting on available data rather than waiting for perfection, healthcare IT leaders can initiate meaningful change. This innovative strategy not only addresses the shortcomings of traditional personalization but also sets the stage for a more individualized healthcare experience. nn#digitalhealth #HealthIT #HealthcareIT #PatientEngagement #PersonalizedMedicine #DataDriven #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 480, "completion_tokens": 126, "total_tokens": 606, "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 - 480 |
Carna Health & Siemens Healthineers Partner to Advance AI-Powered CKD ScreeningHIT Consultant - (Tuesday August 26, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Carna Health, a digital health company focused on kidney care, has announced a strategic agreement with Siemens Healthineers. The collaboration aims to accelerate the adoption of Carna’s AI-enabled chronic kidney... Exciting advancements in chronic kidney disease (CKD) management! Carna Health has partnered with Siemens Healthineers to enhance AI-powered CKD screening and improve access to care in underserved regions. This collaboration aims to streamline CKD workflows, boost early detection, and ultimately improve patient outcomes while lowering healthcare costs. A population-based screening initiative is already underway in Bermuda and Cameroon, targeting 30,000 individuals. With a goal to enroll 25 million in CKD screenings by 2030, this partnership is a pivotal step in transforming kidney care globally. #HealthcareIT #DigitalHealth #AIinHealthcare #ChronicKidneyDisease #PatientCare #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-C8y2b6Lv3lu0OqgGegd4GY69twigH", "object": "chat.completion", "created": 1756253457, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in chronic kidney disease (CKD) management! Carna Health has partnered with Siemens Healthineers to enhance AI-powered CKD screening and improve access to care in underserved regions. This collaboration aims to streamline CKD workflows, boost early detection, and ultimately improve patient outcomes while lowering healthcare costs. A population-based screening initiative is already underway in Bermuda and Cameroon, targeting 30,000 individuals. With a goal to enroll 25 million in CKD screenings by 2030, this partnership is a pivotal step in transforming kidney care globally. #HealthcareIT #DigitalHealth #AIinHealthcare #ChronicKidneyDisease #PatientCare #HealthTech #Innovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 568, "completion_tokens": 135, "total_tokens": 703, "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 - 568 |
Oxford-based MedTech firm OrganOx acquired for £1.2bnDigital Health - (Tuesday August 26, 2025) - Digital Health/ Frequent Updates/ Health+Tech | |
![]() | Oxford University spin-out OrganOx has been acquired by Terumo Corporation in a $1.5bn (£1.2bn) deal, representing one of the largest exits of a UK MedTech company. The firm, founded by Constantin Coussios and Peter Friend,... Exciting news in the MedTech sector! Oxford's OrganOx has been acquired by Terumo Corporation for £1.2bn, marking a significant milestone in organ transplantation technology. Known for its innovative metra device, OrganOx has pioneered Normothermic Machine Perfusion (NMP), enhancing liver preservation for over 6,000 transplants. This acquisition aims to leverage Terumo's global reach, improving organ utilization and patient outcomes. As we navigate the future of healthcare, this partnership underscores the vital role of innovation in addressing unmet medical needs.#MedTech #HealthcareInnovation #OrganTransplantation #PatientCare #DigitalHealth #Investment #Biotechnology 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-C8pVMuGuAMXiudlx1LvqFkQL3E11W", "object": "chat.completion", "created": 1756220644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in the MedTech sector! Oxford's OrganOx has been acquired by Terumo Corporation for £1.2bn, marking a significant milestone in organ transplantation technology. Known for its innovative metra device, OrganOx has pioneered Normothermic Machine Perfusion (NMP), enhancing liver preservation for over 6,000 transplants. This acquisition aims to leverage Terumo's global reach, improving organ utilization and patient outcomes. As we navigate the future of healthcare, this partnership underscores the vital role of innovation in addressing unmet medical needs. nn#MedTech #HealthcareInnovation #OrganTransplantation #PatientCare #DigitalHealth #Investment #Biotechnology", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 808, "completion_tokens": 133, "total_tokens": 941, "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 - 808 |
Nomi Health Report Reveals the “MSK Paradox”: Why Office Workers Have Higher Injury RatesHIT Consultant - (Tuesday August 26, 2025) - Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – New data from Nomi Health reveals a counterintuitive trend dubbed the “MSK Paradox”: white-collar employees report significantly higher rates of musculoskeletal (MSK) disorders than their blue-collar counterparts. – A national analysis... Nomi Health's latest report uncovers the "MSK Paradox," revealing that office workers experience 38% higher rates of musculoskeletal disorders compared to blue-collar workers. This data challenges traditional views on workplace health, emphasizing the need for a nuanced understanding of workforce dynamics. By employing a behavior-driven model, Nomi Health categorizes companies into nine archetypes, highlighting that higher salaries do not always correlate with better social determinants of health. This innovative approach equips employers with insights for targeted healthcare strategies, enabling them to make informed decisions based on actual workforce behavior.#HealthcareIT #WorkplaceWellness #MSKHealth #DataDriven #EmployeeWellbeing #HealthEquity #NomiHealth 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-C8n0XjJOYvuH63eEw6g0LyZ9lftzX", "object": "chat.completion", "created": 1756211045, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Nomi Health's latest report uncovers the "MSK Paradox," revealing that office workers experience 38% higher rates of musculoskeletal disorders compared to blue-collar workers. This data challenges traditional views on workplace health, emphasizing the need for a nuanced understanding of workforce dynamics. By employing a behavior-driven model, Nomi Health categorizes companies into nine archetypes, highlighting that higher salaries do not always correlate with better social determinants of health. This innovative approach equips employers with insights for targeted healthcare strategies, enabling them to make informed decisions based on actual workforce behavior. nn#HealthcareIT #WorkplaceWellness #MSKHealth #DataDriven #EmployeeWellbeing #HealthEquity #NomiHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 694, "completion_tokens": 141, "total_tokens": 835, "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 - 694 |
Digital Health Unplugged: What does the 10 year plan mean for HealthTech?Digital Health - (Tuesday August 26, 2025) - Digital Health/ Frequent Updates/ Health+Tech | |
![]() | Jordan Sollof Digital Health Unplugged covers all things health technology and NHS IT. Hosted by Digital Health's news reporter Jordan Sollof, the podcast delves into key issues and news stories in the sector. It also... The future of HealthTech is unfolding! In the latest episode of Digital Health Unplugged, Jordan Sollof explores the implications of the 10-year plan for digital health. This insightful discussion highlights the pivotal role of NHS IT and showcases innovative contributions from the Digital Health CIO, CCIO, and CNIO Networks. As we navigate this transformative landscape, understanding these developments is crucial for healthcare IT professionals. Let’s embrace the opportunities ahead!#HealthTech #DigitalHealth #NHSIT #HealthcareInnovation #CIO #HealthIT #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-C8nCNwZkkkCGWZbhPFgUtHIVPQKRy", "object": "chat.completion", "created": 1756211779, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The future of HealthTech is unfolding! In the latest episode of Digital Health Unplugged, Jordan Sollof explores the implications of the 10-year plan for digital health. This insightful discussion highlights the pivotal role of NHS IT and showcases innovative contributions from the Digital Health CIO, CCIO, and CNIO Networks. As we navigate this transformative landscape, understanding these developments is crucial for healthcare IT professionals. Let’s embrace the opportunities ahead! nn#HealthTech #DigitalHealth #NHSIT #HealthcareInnovation #CIO #HealthIT #DigitalTransformation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 223, "completion_tokens": 110, "total_tokens": 333, "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 - 223 |
Predicting opioid consumption after surgical discharge: a multinational derivation and validation study using a foundation modelnpj Digital Medicine - (Tuesday August 26, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Opioids are frequently overprescribed after surgery. We applied a tabular foundation model to predict the risk of post-discharge opioid consumption. The model was trained and internally validated on an 80:20 training/test split of the... Exciting advancements in healthcare IT! A multinational study has successfully developed a foundation model to predict opioid consumption post-surgery. By analyzing data from over 4,200 patients, the model achieved an impressive area under the curve (AUC) of 0.84 in internal validation and 0.77 externally. This predictive capability can significantly enhance pain management strategies and reduce opioid overprescription, addressing a critical issue in surgical recovery. As we continue to leverage AI in healthcare, this research highlights the potential of data-driven solutions in improving patient outcomes.#HealthTech #AIinHealthcare #OpioidCrisis #PredictiveAnalytics #PainManagement #DigitalHealth #MachineLearning As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-C8kVuCKvuy13MDBf1i8TAVnC9td5t", "object": "chat.completion", "created": 1756201458, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare IT! A multinational study has successfully developed a foundation model to predict opioid consumption post-surgery. By analyzing data from over 4,200 patients, the model achieved an impressive area under the curve (AUC) of 0.84 in internal validation and 0.77 externally. This predictive capability can significantly enhance pain management strategies and reduce opioid overprescription, addressing a critical issue in surgical recovery. As we continue to leverage AI in healthcare, this research highlights the potential of data-driven solutions in improving patient outcomes. nn#HealthTech #AIinHealthcare #OpioidCrisis #PredictiveAnalytics #PainManagement #DigitalHealth #MachineLearning", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 21916, "completion_tokens": 137, "total_tokens": 22053, "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 - 21916 |












