ChatGPT Summaries
Monday Morning Update 2/3/25 – HIStalkHIStalk - (Sunday February 2, 2025) - Daily Reads/ HIStalk | |
![]() | Top NewsVeradigm’s strategic review fails to attract acquisition bids from the five organizations that had expressed interest, reportedly among them McKesson and Oracle. The company says it will refocus on making operational improvements and... Veradigm's recent strategic review has failed to attract acquisition interest, prompting a shift towards operational improvements and a focus on share re-listing. Following a 32% drop in shares, interim CEO Tom Langan continues to lead the company amid board changes. In the realm of EHRs, skepticism surrounds Oracle Health's claims of a voice-driven system, with mixed opinions on its potential impact on clinician workflows. Meanwhile, the health IT market shows renewed investor confidence, particularly in AI, which now represents 25% of total funding. Key leadership changes signal ongoing evolution in the sector. #HealthIT #EHR #DigitalHealth #AI #HealthcareLeadership #MergersAndAcquisitions #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-AwYYHoykhGdmKEI6bao3EyckCHZMD", "object": "chat.completion", "created": 1738519205, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Veradigm's recent strategic review has failed to attract acquisition interest, prompting a shift towards operational improvements and a focus on share re-listing. Following a 32% drop in shares, interim CEO Tom Langan continues to lead the company amid board changes. In the realm of EHRs, skepticism surrounds Oracle Health's claims of a voice-driven system, with mixed opinions on its potential impact on clinician workflows. Meanwhile, the health IT market shows renewed investor confidence, particularly in AI, which now represents 25% of total funding. Key leadership changes signal ongoing evolution in the sector. #HealthIT #EHR #DigitalHealth #AI #HealthcareLeadership #MergersAndAcquisitions #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1546, "completion_tokens": 144, "total_tokens": 1690, "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_72ed7ab54c" } Prompt Tokens - 1546 |
Why Telehealth Advocates Are Calling on the Trump Administration to Withdraw New Telemedicine Rules – MedCity NewsMedCity News - (Sunday February 2, 2025) - Frequent Updates/ MedCity News | |
![]() | For about half a decade now, Americans have had the ability to receive controlled substances via telehealth because requirements were relaxed during the Covid-19 pandemic. This has greatly expanded access particularly for those in... Telehealth advocates are urging the Trump administration to withdraw new DEA telemedicine rules that could hinder patient access to controlled substances. While the rules aim to enhance patient safety, critics argue they impose unnecessary barriers, like requiring in-person evaluations for Schedule II medications and limiting telehealth prescriptions. Advocates stress these changes could disrupt care for vulnerable populations, particularly those with substance use disorders. The call for reform highlights the need for a balanced approach that prioritizes patient access without compromising safety.#Telehealth #HealthcareIT #PatientAccess #DigitalHealth #Telemedicine #HealthPolicy #PatientSafety 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-AwWzXKfxDMRGTg35XPFr9oUKDQivG", "object": "chat.completion", "created": 1738513207, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Telehealth advocates are urging the Trump administration to withdraw new DEA telemedicine rules that could hinder patient access to controlled substances. While the rules aim to enhance patient safety, critics argue they impose unnecessary barriers, like requiring in-person evaluations for Schedule II medications and limiting telehealth prescriptions. Advocates stress these changes could disrupt care for vulnerable populations, particularly those with substance use disorders. The call for reform highlights the need for a balanced approach that prioritizes patient access without compromising safety. nn#Telehealth #HealthcareIT #PatientAccess #DigitalHealth #Telemedicine #HealthPolicy #PatientSafety", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2164, "completion_tokens": 117, "total_tokens": 2281, "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_72ed7ab54c" } Prompt Tokens - 2164 |
Wearable microfluidic biosensors with haptic feedback for continuous monitoring of hydration biomarkers in workersnpj Digital Medicine - (Saturday February 1, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Real-time monitoring of hydration biomarkers in tandem with biophysical markers can offer valuable physiological insights about heat stress and related thermoregulatory response. These metrics have been challenging to achieve with wearable sensors. Here we... Innovative wearable microfluidic biosensors are revolutionizing hydration monitoring in physically demanding jobs. These devices provide real-time insights into sweat loss, sodium concentration, and activity levels, integrating haptic feedback to alert users when hydration thresholds are reached. The closed-loop system autonomously transmits data to smartphones and cloud platforms, enabling personalized hydration strategies and enhancing worker safety. Field studies demonstrate the effectiveness of this technology in extreme environments, addressing the urgent need for proactive hydration management in the face of rising heat stress risks.#WearableTech #HealthTech #HydrationMonitoring #IoT #WorkplaceSafety #DigitalHealth #Bioengineering 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-Aw6SKkLvFsvCpkNPxv8aON6kcraN6", "object": "chat.completion", "created": 1738411204, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Innovative wearable microfluidic biosensors are revolutionizing hydration monitoring in physically demanding jobs. These devices provide real-time insights into sweat loss, sodium concentration, and activity levels, integrating haptic feedback to alert users when hydration thresholds are reached. The closed-loop system autonomously transmits data to smartphones and cloud platforms, enabling personalized hydration strategies and enhancing worker safety. Field studies demonstrate the effectiveness of this technology in extreme environments, addressing the urgent need for proactive hydration management in the face of rising heat stress risks. nn#WearableTech #HealthTech #HydrationMonitoring #IoT #WorkplaceSafety #DigitalHealth #Bioengineering", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 32454, "completion_tokens": 127, "total_tokens": 32581, "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_72ed7ab54c" } Prompt Tokens - 32454 |
Breaking the Silence: A Mother’s Journey to Uncover Mental Health Warning SignseHealth Radio Network - (Saturday February 1, 2025) - eHealth Radio Network/ Podcasts | |
![]() | Melanie Balestra, a Pediatric Nurse Practitioner, attorney & author of the book Suicide: A Mother's Journey Through Her Childs Pain joins eHealth Radio and the Health News and Mental Health Channels.Listen to interview with... In her powerful interview, Pediatric Nurse Practitioner Melanie Balestra shares her journey in uncovering mental health warning signs in children. With 45 years of experience, she discusses the alarming rise of mental illness among youth and highlights critical signs of distress and suicidal tendencies. Balestra's personal story, rooted in her daughter's struggles, emphasizes the importance of listening and early intervention. Her book, "Suicide: A Mother's Journey Through Her Child's Pain," aims to break the stigma surrounding mental health and provide support for grieving parents.#MentalHealthAwareness #ChildPsychology #SuicidePrevention #HealthcareIT #PediatricNursing #MentalHealthMatters #EarlyIntervention 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-Aw0Ky8bhPAE1rdEOsGZJHgs2Hqjtz", "object": "chat.completion", "created": 1738387684, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In her powerful interview, Pediatric Nurse Practitioner Melanie Balestra shares her journey in uncovering mental health warning signs in children. With 45 years of experience, she discusses the alarming rise of mental illness among youth and highlights critical signs of distress and suicidal tendencies. Balestra's personal story, rooted in her daughter's struggles, emphasizes the importance of listening and early intervention. Her book, "Suicide: A Mother's Journey Through Her Child's Pain," aims to break the stigma surrounding mental health and provide support for grieving parents. nn#MentalHealthAwareness #ChildPsychology #SuicidePrevention #HealthcareIT #PediatricNursing #MentalHealthMatters #EarlyIntervention", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 399, "completion_tokens": 138, "total_tokens": 537, "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_72ed7ab54c" } Prompt Tokens - 399 |
Improving Public Health Data Exchange With the CloudHealthTech Magazine - (Saturday February 1, 2025) - Frequent Updates/ HealthTech Magazine | |
![]() | Jernigan was deputy director for public health science and surveillance at the Centers for Disease Control and Prevention at the time, and he discussed lessons from the CDC’s 2019 data modernization initiative, including ongoing cloud... Cloud technology is revolutionizing public health data exchange, enhancing access, agility, and scalability. As highlighted by experts, including Dr. Daniel Jernigan from the CDC, the shift from siloed systems to interconnected, resilient infrastructures is crucial for effective disease tracking and response. Recent cloud migrations, such as the CDC's transition to Microsoft Azure, demonstrate improved reporting capabilities and user experiences. With the growing need for real-time data, public health agencies are prioritizing cloud solutions to meet evolving demands and enhance community service.#HealthIT #CloudComputing #PublicHealth #DataExchange #Interoperability #HealthcareInnovation #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-AvsqUZKScgRuOy3EI5eYAVQWZ52fD", "object": "chat.completion", "created": 1738358886, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Cloud technology is revolutionizing public health data exchange, enhancing access, agility, and scalability. As highlighted by experts, including Dr. Daniel Jernigan from the CDC, the shift from siloed systems to interconnected, resilient infrastructures is crucial for effective disease tracking and response. Recent cloud migrations, such as the CDC's transition to Microsoft Azure, demonstrate improved reporting capabilities and user experiences. With the growing need for real-time data, public health agencies are prioritizing cloud solutions to meet evolving demands and enhance community service. nn#HealthIT #CloudComputing #PublicHealth #DataExchange #Interoperability #HealthcareInnovation #DigitalTransformation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 5548, "completion_tokens": 127, "total_tokens": 5675, "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_72ed7ab54c" } Prompt Tokens - 5548 |
AI Optics receives FDA 510(k) for retinal screening cameraMobiHealthNews - (Saturday February 1, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | AI Optics, an AI-enabled medical device company, has received FDA 510(k) clearance for its Sentinel Camera.The handheld retinal imaging system captures high-quality images of the human eye, helping to address gaps in retinal disease... Exciting advancements in retinal screening technology! AI Optics has received FDA 510(k) clearance for its Sentinel Camera, a handheld device designed to enhance accessibility and efficiency in retinal disease detection at the point of care. This innovative tool integrates seamlessly with EHR systems and aims to eliminate barriers to screening, ensuring every patient has access to vital eye health checks. As AI continues to transform healthcare, collaborations like AI Optics with NYU Langone Health pave the way for future solutions.#HealthcareIT #AIinHealthcare #RetinalScreening #DigitalHealth #Telemedicine #EHR #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-Avrn1GoGnTLlptHKRnKyykAqD0Z5O", "object": "chat.completion", "created": 1738354827, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in retinal screening technology! AI Optics has received FDA 510(k) clearance for its Sentinel Camera, a handheld device designed to enhance accessibility and efficiency in retinal disease detection at the point of care. This innovative tool integrates seamlessly with EHR systems and aims to eliminate barriers to screening, ensuring every patient has access to vital eye health checks. As AI continues to transform healthcare, collaborations like AI Optics with NYU Langone Health pave the way for future solutions. nn#HealthcareIT #AIinHealthcare #RetinalScreening #DigitalHealth #Telemedicine #EHR #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 662, "completion_tokens": 121, "total_tokens": 783, "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_72ed7ab54c" } Prompt Tokens - 662 |
Cognizant, Gilead Sciences extend partnership for genAIMobiHealthNews - (Saturday February 1, 2025) - AI/ Frequent Updates/ MobiHealthNews | |
![]() | Cognizant, an IT consulting firm, announced it is expanding its existing relationship with biopharmaceutical company Gilead Sciences to deliver better cost leadership and productivity enhancement for Gilead, while extracting greater value from the existing... Cognizant is expanding its partnership with Gilead Sciences to enhance cost leadership and productivity through generative AI and machine learning. This collaboration aims to optimize Gilead's financial framework and improve operational efficiencies across customer service and business management. With over a decade of support for Gilead's IT infrastructure, Cognizant's expertise will accelerate Gilead's mission to deliver critical medicines for cancer and HIV. The partnership also focuses on transforming user experiences with custom AI solutions, driving innovation and efficiency in healthcare delivery.#HealthcareIT #GenerativeAI #DigitalTransformation #MachineLearning #Pharmaceuticals #Innovation #CostEfficiency 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-AvrmfGHOsL73j89NGTSFgR4B0kf9U", "object": "chat.completion", "created": 1738354805, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Cognizant is expanding its partnership with Gilead Sciences to enhance cost leadership and productivity through generative AI and machine learning. This collaboration aims to optimize Gilead's financial framework and improve operational efficiencies across customer service and business management. With over a decade of support for Gilead's IT infrastructure, Cognizant's expertise will accelerate Gilead's mission to deliver critical medicines for cancer and HIV. The partnership also focuses on transforming user experiences with custom AI solutions, driving innovation and efficiency in healthcare delivery. nn#HealthcareIT #GenerativeAI #DigitalTransformation #MachineLearning #Pharmaceuticals #Innovation #CostEfficiency", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 916, "completion_tokens": 129, "total_tokens": 1045, "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_72ed7ab54c" } Prompt Tokens - 916 |
Bicycle Health reaches profitability, secures $16.5MMobiHealthNews - (Friday January 31, 2025) - Frequent Updates/ MobiHealthNews | |
![]() | Bicycle Health, a company that offers virtual opioid disorder treatment, announced it secured $16.5 million in funding.Existing Questa Capital led the round with participation from other existing investors, including Frist Cressey Ventures, SignalFire, Hustle... Bicycle Health has achieved profitability and secured $16.5 million in funding to enhance its virtual opioid use disorder treatment offerings. The Boston-based company, which provides medication-assisted therapy and online support, aims to expand access through partnerships with health systems and payers. CEO Ankit Gupta emphasizes their mission to help millions struggling with opioid addiction, highlighting the effectiveness of their virtual care model in improving treatment retention and reducing overdose rates. With new leadership in place, Bicycle Health is poised for growth in 2025, addressing the urgent need for accessible addiction treatment. #HealthcareIT #Telehealth #AddictionRecovery #OpioidCrisis #VirtualCare #HealthTech #PatientSupport 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-Avsiuu9WjYffuTKf7PzJvi4rIGkKJ", "object": "chat.completion", "created": 1738358416, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Bicycle Health has achieved profitability and secured $16.5 million in funding to enhance its virtual opioid use disorder treatment offerings. The Boston-based company, which provides medication-assisted therapy and online support, aims to expand access through partnerships with health systems and payers. CEO Ankit Gupta emphasizes their mission to help millions struggling with opioid addiction, highlighting the effectiveness of their virtual care model in improving treatment retention and reducing overdose rates. With new leadership in place, Bicycle Health is poised for growth in 2025, addressing the urgent need for accessible addiction treatment. #HealthcareIT #Telehealth #AddictionRecovery #OpioidCrisis #VirtualCare #HealthTech #PatientSupport", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 827, "completion_tokens": 136, "total_tokens": 963, "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_72ed7ab54c" } Prompt Tokens - 827 |
Convergence of evolving artificial intelligence and machine learning techniques in precision oncologynpj Digital Medicine - (Friday January 31, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | The confluence of new technologies with artificial intelligence (AI) and machine learning (ML) analytical techniques is rapidly advancing the field of precision oncology, promising to improve diagnostic approaches and therapeutic strategies for patients with... The integration of artificial intelligence (AI) and machine learning (ML) in precision oncology is revolutionizing cancer care. By leveraging multi-dimensional data, these technologies enhance diagnostic accuracy and treatment selection, fostering a deeper understanding of tumor biology. Key applications include generating synthetic data for clinical trials and automating immunohistochemistry scoring, which improves standardization and reduces variability. Despite the potential, challenges in data management, algorithm development, and clinical integration remain. As we navigate this evolving landscape, collaboration among healthcare professionals and technologists is essential for optimizing patient outcomes.#PrecisionOncology #AIinHealthcare #MachineLearning #CancerCare #DigitalHealth #HealthTech #DataScience 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-AvrTJD8PSlAUC6YI52pD7Vw5LTsp6", "object": "chat.completion", "created": 1738353605, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The integration of artificial intelligence (AI) and machine learning (ML) in precision oncology is revolutionizing cancer care. By leveraging multi-dimensional data, these technologies enhance diagnostic accuracy and treatment selection, fostering a deeper understanding of tumor biology. Key applications include generating synthetic data for clinical trials and automating immunohistochemistry scoring, which improves standardization and reduces variability. Despite the potential, challenges in data management, algorithm development, and clinical integration remain. As we navigate this evolving landscape, collaboration among healthcare professionals and technologists is essential for optimizing patient outcomes. nn#PrecisionOncology #AIinHealthcare #MachineLearning #CancerCare #DigitalHealth #HealthTech #DataScience", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 40939, "completion_tokens": 135, "total_tokens": 41074, "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_72ed7ab54c" } Prompt Tokens - 40939 |
Language models for data extraction and risk of bias assessment in complementary medicinenpj Digital Medicine - (Friday January 31, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Large language models (LLMs) have the potential to enhance evidence synthesis efficiency and accuracy. This study assessed LLM-only and LLM-assisted methods in data extraction and risk of bias assessment for 107 trials on complementary... Unlocking the potential of large language models (LLMs) in healthcare, a recent study highlights their efficacy in data extraction and risk of bias assessment in complementary medicine. Utilizing LLMs like Claude-3.5-sonnet and Moonshot-v1-128k, researchers achieved over 95% accuracy, with LLM-assisted methods outperforming traditional approaches in both speed and precision. This advancement underscores the synergy between AI and human expertise, paving the way for more efficient evidence synthesis in complex medical domains.#HealthcareIT #AIinHealthcare #DataExtraction #RiskAssessment #MachineLearning #HealthTech #EvidenceBasedMedicine 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-AvoyZpGIXYvgEBmGvvvi2bA52K08V", "object": "chat.completion", "created": 1738344011, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of large language models (LLMs) in healthcare, a recent study highlights their efficacy in data extraction and risk of bias assessment in complementary medicine. Utilizing LLMs like Claude-3.5-sonnet and Moonshot-v1-128k, researchers achieved over 95% accuracy, with LLM-assisted methods outperforming traditional approaches in both speed and precision. This advancement underscores the synergy between AI and human expertise, paving the way for more efficient evidence synthesis in complex medical domains. nn#HealthcareIT #AIinHealthcare #DataExtraction #RiskAssessment #MachineLearning #HealthTech #EvidenceBasedMedicine", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25936, "completion_tokens": 126, "total_tokens": 26062, "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_72ed7ab54c" } Prompt Tokens - 25936 |