ChatGPT Summaries
XO Health Launches Next Gen Value-Based Care and Benefits PlatformHIT Consultant - (Wednesday January 8, 2025) - Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– XO Health launches operations of its value-based care and benefits platform, serving self-insured employers, level-funded plans and third-party administrators (TPAs). This launch will enable XO Health to bring their value-based... XO Health is revolutionizing healthcare with its new value-based care and benefits platform, designed for self-insured employers and third-party administrators. By leveraging advanced payment models and real-time data analytics, XO Health enhances provider autonomy and streamlines operations, ultimately driving better outcomes and lower costs. Founded by industry veteran Swati Mathai, the platform prioritizes trust and transparency, aligning the interests of employers, providers, and beneficiaries. With strategic partnerships and plans for geographic expansion, XO Health is set to transform healthcare delivery across the nation.#ValueBasedCare #HealthcareInnovation #HealthTech #DataAnalytics #PatientCare #CostReduction #HealthcareLeadership 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-AnUwuLJybApuUnQrifX598WULAmt4", "object": "chat.completion", "created": 1736360404, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "XO Health is revolutionizing healthcare with its new value-based care and benefits platform, designed for self-insured employers and third-party administrators. By leveraging advanced payment models and real-time data analytics, XO Health enhances provider autonomy and streamlines operations, ultimately driving better outcomes and lower costs. Founded by industry veteran Swati Mathai, the platform prioritizes trust and transparency, aligning the interests of employers, providers, and beneficiaries. With strategic partnerships and plans for geographic expansion, XO Health is set to transform healthcare delivery across the nation. nn#ValueBasedCare #HealthcareInnovation #HealthTech #DataAnalytics #PatientCare #CostReduction #HealthcareLeadership", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 758, "completion_tokens": 129, "total_tokens": 887, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 758 |
ScreenPoint Medical Acquires Biomediq to Enhance Breast Cancer Risk Assessment with AIHIT Consultant - (Wednesday January 8, 2025) - Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – ScreenPoint Medical, a provider of AI-powered breast cancer screening solutions, acquires Biomediq A/S, a research-based company specializing in quantitative imaging biomarkers. Financial details of the acquisition were not disclosed. – ScreenPoint’s... Exciting news in breast cancer risk assessment! ScreenPoint Medical has acquired Biomediq, enhancing its AI-powered Transpara platform with advanced risk analysis technology. This integration will automate the analysis of 2D and 3D mammograms, utilizing Biomediq's Mammographic Texture Risk biomarker to improve risk prediction. A recent study showcased that combining these technologies could significantly boost early detection rates. With Dr. Andreas D. Lauritzen joining the team, ScreenPoint is poised to optimize risk-stratified screening, ultimately improving breast cancer detection and care for women.#HealthcareIT #BreastCancerAwareness #AIinHealthcare #DigitalHealth #MedicalImaging #RiskAssessment #InnovationInHealthcare As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AnYhBlVsAR58F1Ww0moZFWZlk2ppW", "object": "chat.completion", "created": 1736374805, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in breast cancer risk assessment! ScreenPoint Medical has acquired Biomediq, enhancing its AI-powered Transpara platform with advanced risk analysis technology. This integration will automate the analysis of 2D and 3D mammograms, utilizing Biomediq's Mammographic Texture Risk biomarker to improve risk prediction. A recent study showcased that combining these technologies could significantly boost early detection rates. With Dr. Andreas D. Lauritzen joining the team, ScreenPoint is poised to optimize risk-stratified screening, ultimately improving breast cancer detection and care for women. nn#HealthcareIT #BreastCancerAwareness #AIinHealthcare #DigitalHealth #MedicalImaging #RiskAssessment #InnovationInHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 674, "completion_tokens": 142, "total_tokens": 816, "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 } }, "system_fingerprint": "fp_f2cd28694a" } Prompt Tokens - 674 |
AI that identifies undiagnosed cognitive impairment could improve VBCHealthcare IT news - (Wednesday January 8, 2025) - AI/ Frequent Updates/ Healthcare IT News | |
![]() | A new report by Milliman, Inc. concluded that after testing the impact of various modifications to Together Senior Health’s Dementia AlgoRithm, new claims-sourced models demonstrate positive predictive value that can support quality care.WHY IT... Unlocking the potential of AI in healthcare, the RADAR algorithm from Together is revolutionizing the identification of undiagnosed cognitive impairment. Recent findings from Milliman, Inc. reveal that RADAR's claims-sourced models significantly enhance predictive accuracy, outperforming traditional screening methods. This innovative approach not only streamlines patient identification but also supports value-based care by enabling timely interventions. As we strive for better brain health outcomes, leveraging AI to augment clinical expertise is crucial. The future of cognitive health is here, and it’s transformative!#HealthcareIT #AIinHealthcare #CognitiveHealth #ValueBasedCare #HealthTech #MachineLearning #PatientCare As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AnUdXfPPmhXqLLdXTcjoKf3zbBLLj", "object": "chat.completion", "created": 1736359203, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of AI in healthcare, the RADAR algorithm from Together is revolutionizing the identification of undiagnosed cognitive impairment. Recent findings from Milliman, Inc. reveal that RADAR's claims-sourced models significantly enhance predictive accuracy, outperforming traditional screening methods. This innovative approach not only streamlines patient identification but also supports value-based care by enabling timely interventions. As we strive for better brain health outcomes, leveraging AI to augment clinical expertise is crucial. The future of cognitive health is here, and it’s transformative! nn#HealthcareIT #AIinHealthcare #CognitiveHealth #ValueBasedCare #HealthTech #MachineLearning #PatientCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1013, "completion_tokens": 132, "total_tokens": 1145, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 1013 |
Red Rover Health Secures $4M to Simplify EHR Integration for ProvidersHIT Consultant - (Wednesday January 8, 2025) - Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Red Rover Health, which enables healthcare providers to integrate “best of breed” third-party solutions into their electronic health record (EHR) systems, has received $4 million in seed funding from NewShore Partners.– The... Red Rover Health has secured $4M in seed funding from NewShore Partners to enhance its innovative RESTful API platform, streamlining EHR integration for healthcare providers. This investment will allow Red Rover to hire key talent and expand operations, addressing the growing demand for seamless connectivity between EHR systems and best-of-breed third-party applications. CEO John Orosco highlights their readiness to scale with existing solutions already deployed in production sites. Red Rover is set to transform the EHR landscape, maximizing the value of healthcare organizations' investments.#HealthcareIT #EHR #HealthTech #Innovation #APIs #DigitalHealth #Integration 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-AnVtTwSlfCjSUqNF31oF8tE5jxM4N", "object": "chat.completion", "created": 1736364035, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Red Rover Health has secured $4M in seed funding from NewShore Partners to enhance its innovative RESTful API platform, streamlining EHR integration for healthcare providers. This investment will allow Red Rover to hire key talent and expand operations, addressing the growing demand for seamless connectivity between EHR systems and best-of-breed third-party applications. CEO John Orosco highlights their readiness to scale with existing solutions already deployed in production sites. Red Rover is set to transform the EHR landscape, maximizing the value of healthcare organizations' investments. nn#HealthcareIT #EHR #HealthTech #Innovation #APIs #DigitalHealth #Integration", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 511, "completion_tokens": 128, "total_tokens": 639, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 511 |
Medidata Platform Enhances Clinical Trial Efficiency for Bristol Myers SquibbHIT Consultant - (Wednesday January 8, 2025) - Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Medidata, a Dassault Systèmes brand and a leader in clinical trial solutions for the life sciences industry, has announced an extended and expanded partnership with Bristol Myers Squibb (BMS).– This collaboration aims... Exciting developments in clinical research! Medidata has announced an expanded partnership with Bristol Myers Squibb to enhance clinical trial efficiency and patient outcomes. This collaboration will leverage AI, advanced analytics, and innovative data management solutions, including the new Medidata Clinical Data Studio, to streamline operations and accelerate the delivery of therapies. Together, they aim to set new standards in personalized healthcare and strengthen engagement with trial sites and patients. This is a significant step forward in transforming clinical research processes!#ClinicalTrials #HealthcareIT #Medidata #BristolMyersSquibb #PersonalizedMedicine #AIinHealthcare #DataAnalytics 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-AnVt8TTrh240mEQV14wT7PdExo4V5", "object": "chat.completion", "created": 1736364014, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting developments in clinical research! Medidata has announced an expanded partnership with Bristol Myers Squibb to enhance clinical trial efficiency and patient outcomes. This collaboration will leverage AI, advanced analytics, and innovative data management solutions, including the new Medidata Clinical Data Studio, to streamline operations and accelerate the delivery of therapies. Together, they aim to set new standards in personalized healthcare and strengthen engagement with trial sites and patients. This is a significant step forward in transforming clinical research processes! nn#ClinicalTrials #HealthcareIT #Medidata #BristolMyersSquibb #PersonalizedMedicine #AIinHealthcare #DataAnalytics", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 392, "completion_tokens": 124, "total_tokens": 516, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 392 |
Device based monitoring in digital care and its impact on hospital service usenpj Digital Medicine - (Wednesday January 8, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | This systematic review examines four themes of device-based remote monitoring (DRM): technology, patient monitoring and support, integration of DRM into clinical care, and patient engagement, and their impact on hospital service use. We included... Device-based remote monitoring (DRM) is transforming digital care by significantly reducing hospital service use. A recent systematic review of 116 randomized controlled trials found that 72% reported decreased hospitalizations with DRM. Key factors include the type of monitoring device, the provision of 24/7 patient support, and the integration of DRM into clinical workflows. Notably, implanted and mobile devices showed higher effectiveness than non-implantable ones. As we continue to optimize DRM, understanding its components and patient engagement will be crucial for maximizing its benefits in healthcare.#DigitalHealth #RemoteMonitoring #HealthcareIT #Telemedicine #PatientEngagement #HealthTech #InnovationInHealthcare As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AnRWPXHwEFl5Y2i4McjkZPF1ZkvAg", "object": "chat.completion", "created": 1736347229, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Device-based remote monitoring (DRM) is transforming digital care by significantly reducing hospital service use. A recent systematic review of 116 randomized controlled trials found that 72% reported decreased hospitalizations with DRM. Key factors include the type of monitoring device, the provision of 24/7 patient support, and the integration of DRM into clinical workflows. Notably, implanted and mobile devices showed higher effectiveness than non-implantable ones. As we continue to optimize DRM, understanding its components and patient engagement will be crucial for maximizing its benefits in healthcare. nn#DigitalHealth #RemoteMonitoring #HealthcareIT #Telemedicine #PatientEngagement #HealthTech #InnovationInHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26733, "completion_tokens": 134, "total_tokens": 26867, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 26733 |
AI trial to enhance the precision of radiotherapy for prostate cancerDigital Health - (Wednesday January 8, 2025) - AI/ Digital Health/ Frequent Updates | |
![]() | Researchers at The Clatterbridge Cancer Centre NHS Foundation Trust in Wirral are using AI to enhance the precision of radiotherapy for prostate cancer. The PIVOTALboost study, which ran from 2018, recently closed after surveying data... Exciting advancements in prostate cancer treatment are underway! Researchers at The Clatterbridge Cancer Centre are leveraging AI to enhance radiotherapy precision through the PIVOTALboost study, which involved 2,232 patients across 49 UK centres. This study builds on the FLAME trial, aiming to standardize boost doses using AI-driven algorithms for MRI scans. Preliminary findings indicate that AI could streamline workflows and improve patient outcomes, potentially revolutionizing treatment standards. Collaboration between CCC and The Royal Marsden exemplifies the fusion of technology and clinical practice in cancer research.#HealthcareIT #AIinHealthcare #Radiotherapy #CancerResearch #ProstateCancer #Innovation #ClinicalTrials 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-AnSpS7A0JUWaxXAT4iNIB9CM7txBJ", "object": "chat.completion", "created": 1736352254, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in prostate cancer treatment are underway! Researchers at The Clatterbridge Cancer Centre are leveraging AI to enhance radiotherapy precision through the PIVOTALboost study, which involved 2,232 patients across 49 UK centres. This study builds on the FLAME trial, aiming to standardize boost doses using AI-driven algorithms for MRI scans. Preliminary findings indicate that AI could streamline workflows and improve patient outcomes, potentially revolutionizing treatment standards. Collaboration between CCC and The Royal Marsden exemplifies the fusion of technology and clinical practice in cancer research. nn#HealthcareIT #AIinHealthcare #Radiotherapy #CancerResearch #ProstateCancer #Innovation #ClinicalTrials", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 776, "completion_tokens": 134, "total_tokens": 910, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 776 |
Sheffield Children’s implements ePMA in paediatric critical care unitDigital Health - (Wednesday January 8, 2025) - Digital Health/ Frequent Updates | |
![]() | Sheffield Children’s NHS Foundation Trust has gone live with an electronic prescribing and medicine administration (ePMA) system provided by System C in the Paediatric Critical Care Unit (PCCU). The CareFlow Medicines Management (CMM) has been... Sheffield Children’s NHS Foundation Trust has successfully implemented an electronic prescribing and medicine administration (ePMA) system in its Paediatric Critical Care Unit (PCCU), enhancing patient safety and medication management. The CareFlow Medicines Management system addresses the unique medication needs of children, standardizes prescriptions, and eliminates transcription errors. Key to this success was the engagement of PCCU staff through workshops and dedicated support during the rollout. With over 180,000 medicines prescribed since launch, the initiative marks a significant step in Sheffield Children’s digital transformation journey. #HealthcareIT #ePMA #PatientSafety #DigitalHealth #MedTech #PharmacyInnovation #PediatricCare 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-AnQOTvNQXpPQE8Ab6LBrnIcrNxq7E", "object": "chat.completion", "created": 1736342893, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Sheffield Children’s NHS Foundation Trust has successfully implemented an electronic prescribing and medicine administration (ePMA) system in its Paediatric Critical Care Unit (PCCU), enhancing patient safety and medication management. The CareFlow Medicines Management system addresses the unique medication needs of children, standardizes prescriptions, and eliminates transcription errors. Key to this success was the engagement of PCCU staff through workshops and dedicated support during the rollout. With over 180,000 medicines prescribed since launch, the initiative marks a significant step in Sheffield Children’s digital transformation journey. #HealthcareIT #ePMA #PatientSafety #DigitalHealth #MedTech #PharmacyInnovation #PediatricCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 678, "completion_tokens": 134, "total_tokens": 812, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 678 |
A hybrid machine learning approach for the personalized prognostication of aggressive skin cancersnpj Digital Medicine - (Wednesday January 8, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Accurate prognostication guides optimal clinical management in skin cancer. Merkel cell carcinoma (MCC) is the most aggressive form of skin cancer that often presents in advanced stages and is associated with poor survival rates.... In the realm of aggressive skin cancers, a pioneering hybrid machine learning model named "DeepMerkel" has emerged, enhancing personalized prognostication for Merkel cell carcinoma (MCC). This innovative tool integrates deep learning feature selection with a modified XGBoost framework, yielding accurate, time-dependent survival predictions. DeepMerkel outperforms traditional AJCC staging systems, demonstrating significant predictive power across diverse clinical cohorts. By incorporating both staging and non-staging features, it unveils critical insights into mortality risks, paving the way for tailored clinical interventions. This advancement exemplifies the potential of machine learning in revolutionizing cancer care.#HealthcareIT #MachineLearning #SkinCancer #PersonalizedMedicine #DataScience #AIinHealthcare #CancerResearch 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-AnP1KIZuPrdRIYkZ9r2z0Iy0svNeN", "object": "chat.completion", "created": 1736337614, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the realm of aggressive skin cancers, a pioneering hybrid machine learning model named "DeepMerkel" has emerged, enhancing personalized prognostication for Merkel cell carcinoma (MCC). This innovative tool integrates deep learning feature selection with a modified XGBoost framework, yielding accurate, time-dependent survival predictions. DeepMerkel outperforms traditional AJCC staging systems, demonstrating significant predictive power across diverse clinical cohorts. By incorporating both staging and non-staging features, it unveils critical insights into mortality risks, paving the way for tailored clinical interventions. This advancement exemplifies the potential of machine learning in revolutionizing cancer care.nn#HealthcareIT #MachineLearning #SkinCancer #PersonalizedMedicine #DataScience #AIinHealthcare #CancerResearch", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 23912, "completion_tokens": 147, "total_tokens": 24059, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 23912 |
Revolutionising Perioperative Care: Q&A with Simon Rang and Michelle RoseDigital Health - (Wednesday January 8, 2025) - Daily Reads/ Digital Health | |
![]() | At Digital Health Rewired 2025, Dr Simon Rang and Michelle Rose will share insights into how East Kent Hospitals University NHS Foundation Trust (EKHUFT) is transforming perioperative care. They’ll highlight the use of innovative... Transforming perioperative care is crucial as we face challenges like an ageing population and health inequalities. Dr. Simon Rang and Michelle Rose from EKHUFT highlight how Graphnet’s CIPHA Population Health Platform automates risk stratification, improving efficiency by reducing preoperative consultation times by 27%. This proactive approach allows for better patient optimization and resource allocation, addressing vulnerabilities early. Their collaboration with Kent Community Health Foundation Trust exemplifies the importance of tailored services. Join them at Digital Health Rewired 2025 for insights on leveraging digital tools to enhance care delivery.#HealthcareIT #DigitalHealth #PerioperativeCare #HealthEquity #Innovation #PatientCare #PopulationHealth 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-AnNpsNxxa46QigRJ2RawhKI3UDPLS", "object": "chat.completion", "created": 1736333060, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Transforming perioperative care is crucial as we face challenges like an ageing population and health inequalities. Dr. Simon Rang and Michelle Rose from EKHUFT highlight how Graphnet’s CIPHA Population Health Platform automates risk stratification, improving efficiency by reducing preoperative consultation times by 27%. This proactive approach allows for better patient optimization and resource allocation, addressing vulnerabilities early. Their collaboration with Kent Community Health Foundation Trust exemplifies the importance of tailored services. Join them at Digital Health Rewired 2025 for insights on leveraging digital tools to enhance care delivery. nn#HealthcareIT #DigitalHealth #PerioperativeCare #HealthEquity #Innovation #PatientCare #PopulationHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1065, "completion_tokens": 136, "total_tokens": 1201, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" } Prompt Tokens - 1065 |