ChatGPT Summaries
500 – Behind the Scenes: What 500 Episodes of Talking HealthTech Have Taught UsTalking HealthTech - (Sunday January 26, 2025) - Podcasts/ Talking HealthTech | |
![]() | In this episode of Talking HealthTech, hosts Peter Birch, Nathan Moore, and Sophie Turner celebrate a significant milestoneepisode 500. They reflect on the podcast's journey and dive into health technologys broader landscape and future.Focusing... Celebrating 500 episodes of Talking HealthTech, hosts Peter Birch, Nathan Moore, and Sophie Turner reflect on the podcast's journey and the evolving landscape of health technology. They emphasize the importance of storytelling, community, and digital tools like AI and telemedicine in enhancing patient care. With plans for a roadshow to highlight rural healthcare stories and initiatives to foster collaboration, the team is committed to bridging gaps in access and quality. Their mission remains focused on impactful conversations that resonate across diverse audiences in the healthtech space.#HealthTech #DigitalHealth #AI #Telemedicine #HealthcareInnovation #PatientCare #CommunityEngagement 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-AvUzlLfIgnr4C9YbA3lJtUPuPW6X0", "object": "chat.completion", "created": 1738267205, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Celebrating 500 episodes of Talking HealthTech, hosts Peter Birch, Nathan Moore, and Sophie Turner reflect on the podcast's journey and the evolving landscape of health technology. They emphasize the importance of storytelling, community, and digital tools like AI and telemedicine in enhancing patient care. With plans for a roadshow to highlight rural healthcare stories and initiatives to foster collaboration, the team is committed to bridging gaps in access and quality. Their mission remains focused on impactful conversations that resonate across diverse audiences in the healthtech space. nn#HealthTech #DigitalHealth #AI #Telemedicine #HealthcareInnovation #PatientCare #CommunityEngagement", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1227, "completion_tokens": 126, "total_tokens": 1353, "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 - 1227 |
Monday Morning Update 1/27/25 – HIStalkHIStalk - (Sunday January 26, 2025) - Daily Reads/ HIStalk | |
![]() | Top NewsUnitedHealth Group increases its estimate of individuals impacted by a February 2024 ransomware attack on its Change Healthcare division from 100 million to 190 million, affecting nearly half of all Americans. The company... 🚨 Major cybersecurity incident alert! UnitedHealth Group has revised its estimate of individuals impacted by a February 2024 ransomware attack on Change Healthcare from 100 million to 190 million, affecting nearly half of all Americans. With costs exceeding $3 billion, the breach highlights vulnerabilities in outdated healthcare tech. As we navigate the complexities of healthcare IT, the tension between profit-driven motives and patient care remains critical. Let’s discuss how we can enhance data security and prioritize innovation in our industry. #HealthcareIT #Cybersecurity #DataProtection #HealthTech #Innovation #Ransomware #DigitalHealth As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-Au1HIo255y6S8112qVIrXPJBghYxj", "object": "chat.completion", "created": 1737914644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚨 Major cybersecurity incident alert! UnitedHealth Group has revised its estimate of individuals impacted by a February 2024 ransomware attack on Change Healthcare from 100 million to 190 million, affecting nearly half of all Americans. With costs exceeding $3 billion, the breach highlights vulnerabilities in outdated healthcare tech. As we navigate the complexities of healthcare IT, the tension between profit-driven motives and patient care remains critical. Let’s discuss how we can enhance data security and prioritize innovation in our industry. #HealthcareIT #Cybersecurity #DataProtection #HealthTech #Innovation #Ransomware #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1882, "completion_tokens": 119, "total_tokens": 2001, "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 - 1882 |
Machine learning approach for noninvasive intracranial pressure estimation using pulsatile cranial expansion waveformsnpj Digital Medicine - (Sunday January 26, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Noninvasive methods for intracranial pressure (ICP) monitoring have emerged, but none has successfully replaced invasive techniques. This observational study developed and tested a machine learning (ML) model to estimate ICP using waveforms from a... Exciting advancements in noninvasive intracranial pressure (ICP) estimation are here! A recent study utilized machine learning to analyze pulsatile cranial expansion waveforms, achieving a mean absolute error of just 3.00 mmHg. This innovative approach, leveraging data from 112 neurocritical patients, demonstrates the feasibility of estimating ICP without invasive procedures. With approximately 72% of estimates within 0-4 mmHg of invasive values, this method could revolutionize ICP monitoring in clinical settings. As we continue to explore the integration of AI in healthcare, the potential for improved patient outcomes is immense.#HealthcareIT #MachineLearning #Neuroscience #AIinHealthcare #DigitalHealth #NoninvasiveMonitoring #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-Aty9kDpHMC2zU5VhzM5W6klEoLEMs", "object": "chat.completion", "created": 1737902644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in noninvasive intracranial pressure (ICP) estimation are here! A recent study utilized machine learning to analyze pulsatile cranial expansion waveforms, achieving a mean absolute error of just 3.00 mmHg. This innovative approach, leveraging data from 112 neurocritical patients, demonstrates the feasibility of estimating ICP without invasive procedures. With approximately 72% of estimates within 0-4 mmHg of invasive values, this method could revolutionize ICP monitoring in clinical settings. As we continue to explore the integration of AI in healthcare, the potential for improved patient outcomes is immense. nn#HealthcareIT #MachineLearning #Neuroscience #AIinHealthcare #DigitalHealth #NoninvasiveMonitoring #PatientSafety", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26989, "completion_tokens": 148, "total_tokens": 27137, "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 - 26989 |
A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identificationnpj Digital Medicine - (Sunday January 26, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis... Exciting advancements in AI for healthcare! A multicenter study developed a deep learning model for whole-body tumor identification in neurofibromatosis type 1 (NF1), achieving an impressive accuracy of 85.71% for malignant peripheral nerve sheath tumors (MPNSTs). This innovative approach incorporates contextual information from surrounding tissues, enhancing diagnostic precision. The model's lightweight design allows for practical hospital deployment, paving the way for early detection of various tumors. This research highlights the transformative potential of AI in oncology, particularly for rare diseases.#HealthcareIT #AIinHealthcare #DeepLearning #Oncology #Neurofibromatosis #MedicalImaging #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-AtoAOvYv232743mONhNZkHNqqH4u4", "object": "chat.completion", "created": 1737864244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in AI for healthcare! A multicenter study developed a deep learning model for whole-body tumor identification in neurofibromatosis type 1 (NF1), achieving an impressive accuracy of 85.71% for malignant peripheral nerve sheath tumors (MPNSTs). This innovative approach incorporates contextual information from surrounding tissues, enhancing diagnostic precision. The model's lightweight design allows for practical hospital deployment, paving the way for early detection of various tumors. This research highlights the transformative potential of AI in oncology, particularly for rare diseases. nn#HealthcareIT #AIinHealthcare #DeepLearning #Oncology #Neurofibromatosis #MedicalImaging #CancerResearch", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25607, "completion_tokens": 136, "total_tokens": 25743, "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 - 25607 |
SleepVibe, a compact sleep aid that enhances deep sleepeHealth Radio Network - (Saturday January 25, 2025) - eHealth Radio Network/ Podcasts | |
![]() | James Marsh, CEO of The SleepVibe, a compact sleep aid that enhances deep sleep without needing headphones or audible sound joins eHealth Radio and the Health News, Sleep Health and Technology Channels.Listen to interview... Discover how SleepVibe, a groundbreaking compact sleep aid, is transforming sleep health. Founded by James Marsh, who faced personal sleep challenges while caring for a loved one, SleepVibe utilizes Binaural Beats Technology and low-frequency fields to promote deeper, restorative sleep. This innovative solution not only addresses sleep disruptions but also benefits caregivers and anyone struggling with sleep issues. Join the conversation on the importance of sleep for overall well-being and explore how technology can enhance our health.#SleepHealth #HealthcareIT #SleepTechnology #Innovation #PatientCare #HealthTech #Wellness 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-AtjnQt3dIeiHMFtFPcN57QY1LP53N", "object": "chat.completion", "created": 1737847444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Discover how SleepVibe, a groundbreaking compact sleep aid, is transforming sleep health. Founded by James Marsh, who faced personal sleep challenges while caring for a loved one, SleepVibe utilizes Binaural Beats Technology and low-frequency fields to promote deeper, restorative sleep. This innovative solution not only addresses sleep disruptions but also benefits caregivers and anyone struggling with sleep issues. Join the conversation on the importance of sleep for overall well-being and explore how technology can enhance our health. nn#SleepHealth #HealthcareIT #SleepTechnology #Innovation #PatientCare #HealthTech #Wellness", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 610, "completion_tokens": 116, "total_tokens": 726, "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 - 610 |
Explainable vision transformer for automatic visual sleep staging on multimodal PSG signalsnpj Digital Medicine - (Saturday January 25, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Polysomnography (PSG) is crucial for diagnosing sleep disorders, but manual scoring of PSG is time-consuming and subjective, leading to high variability. While machine-learning models have improved PSG scoring, their clinical use is hindered by... Exciting advancements in sleep medicine are here! The study introduces SleepXViT, an explainable vision transformer that automates sleep staging using multimodal polysomnography (PSG) signals. This innovative approach not only enhances accuracy—achieving an impressive Macro F1 score of 81.94%—but also provides interpretable insights through high-resolution heatmaps and well-calibrated confidence scores. By mimicking human visual scoring, SleepXViT bridges the gap between AI and clinical practice, ensuring reliable and consistent results. This advancement could revolutionize the way we diagnose and treat sleep disorders.#SleepMedicine #AIinHealthcare #MachineLearning #Polysomnography #DigitalHealth #ExplainableAI #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-AtZBMTC4Fyjd0Wdholv8jQIDbNKhb", "object": "chat.completion", "created": 1737806644, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in sleep medicine are here! The study introduces SleepXViT, an explainable vision transformer that automates sleep staging using multimodal polysomnography (PSG) signals. This innovative approach not only enhances accuracy—achieving an impressive Macro F1 score of 81.94%—but also provides interpretable insights through high-resolution heatmaps and well-calibrated confidence scores. By mimicking human visual scoring, SleepXViT bridges the gap between AI and clinical practice, ensuring reliable and consistent results. This advancement could revolutionize the way we diagnose and treat sleep disorders. nn#SleepMedicine #AIinHealthcare #MachineLearning #Polysomnography #DigitalHealth #ExplainableAI #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 31831, "completion_tokens": 148, "total_tokens": 31979, "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 - 31831 |
Allara Health Secures $26M to Advance Women’s Hormonal Care – MedCity NewsMedCity News - (Saturday January 25, 2025) - Frequent Updates/ MedCity News | |
![]() | Virtual women’s health company Allara Health has raised $26 million in Series B funding, which it will use to further support women battling chronic hormonal conditions, the company announced on Friday.Allara Health, based in... Exciting news in women's health! Allara Health has successfully raised $26 million in Series B funding to enhance care for women facing chronic hormonal conditions like PCOS and endometriosis. This innovative virtual health platform combines personalized treatment with ongoing support from a dedicated team of experts. With this funding, Allara aims to expand its services nationwide, addressing the significant gap in women's healthcare. As we witness a shift towards online care, Allara is leading the charge for better access and quality of life for women.#WomensHealth #HealthcareIT #DigitalHealth #PCOS #Endometriosis #Telehealth #HealthEquity As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AtNOJZwmdYbYeo0icR6ttehZMwO2b", "object": "chat.completion", "created": 1737761319, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in women's health! Allara Health has successfully raised $26 million in Series B funding to enhance care for women facing chronic hormonal conditions like PCOS and endometriosis. This innovative virtual health platform combines personalized treatment with ongoing support from a dedicated team of experts. With this funding, Allara aims to expand its services nationwide, addressing the significant gap in women's healthcare. As we witness a shift towards online care, Allara is leading the charge for better access and quality of life for women. nn#WomensHealth #HealthcareIT #DigitalHealth #PCOS #Endometriosis #Telehealth #HealthEquity", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 716, "completion_tokens": 127, "total_tokens": 843, "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 - 716 |
Trump’s interim HHS chief issues agency-wide gag orderHealthcare IT news - (Saturday January 25, 2025) - Frequent Updates/ Healthcare IT News | |
![]() | Dr. Dorothy Fink, named acting secretary of the U.S. Department of Health and Human Services this week, issued a five-step memorandum to all HHS heads of operating division and staff divisions to curtail outgoing... In a significant move, Dr. Dorothy Fink, acting secretary of HHS, has implemented a five-step gag order affecting all outgoing communications until February 1. This directive mandates that all documents for publication undergo review by a Presidential appointee, impacting agencies like Medicare and Medicaid. Fink emphasizes the need for oversight during this transition, restricting public speaking engagements and general communications, including social media. This pause aims to ensure that the new administration's policies are properly vetted before public dissemination, highlighting the critical intersection of healthcare and governance.#HealthIT #HHS #HealthcareLeadership #Policy #PublicHealth #RegulatoryCompliance #HealthcareCommunications 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-AtM4SxnoY6DPGj0DGecS5wMmZkpnW", "object": "chat.completion", "created": 1737756244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a significant move, Dr. Dorothy Fink, acting secretary of HHS, has implemented a five-step gag order affecting all outgoing communications until February 1. This directive mandates that all documents for publication undergo review by a Presidential appointee, impacting agencies like Medicare and Medicaid. Fink emphasizes the need for oversight during this transition, restricting public speaking engagements and general communications, including social media. This pause aims to ensure that the new administration's policies are properly vetted before public dissemination, highlighting the critical intersection of healthcare and governance. nn#HealthIT #HHS #HealthcareLeadership #Policy #PublicHealth #RegulatoryCompliance #HealthcareCommunications", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 597, "completion_tokens": 131, "total_tokens": 728, "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 - 597 |
Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational StudyJMIR mHealth and uHealth - (Saturday January 25, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: There has been a surge in the development of applications that aim to improve health, physical activity (PA), and well-being through behavior change. These apps often focus on creating a long-term and sustainable... Harnessing the power of Ecological Momentary Assessments (EMA) and machine learning can revolutionize physical activity (PA) interventions. This study reveals that a concise set of EMA features—self-efficacy, stress, planning, and perceived barriers—can effectively predict PA engagement, achieving an impressive AUC score of 0.87. By integrating these insights into Just-in-Time Adaptive Interventions (JITAIs), we can deliver personalized, context-aware support to users, enhancing their motivation and overall well-being. Streamlining EMA schedules while maintaining accuracy is key to minimizing user burden and maximizing impact.#HealthTech #MachineLearning #DigitalHealth #BehaviorChange #PhysicalActivity #PersonalizedMedicine #WellnessTech 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-AtLVnoMmvDshQT2OchdvmPJXnbiv0", "object": "chat.completion", "created": 1737754095, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of Ecological Momentary Assessments (EMA) and machine learning can revolutionize physical activity (PA) interventions. This study reveals that a concise set of EMA features—self-efficacy, stress, planning, and perceived barriers—can effectively predict PA engagement, achieving an impressive AUC score of 0.87. By integrating these insights into Just-in-Time Adaptive Interventions (JITAIs), we can deliver personalized, context-aware support to users, enhancing their motivation and overall well-being. Streamlining EMA schedules while maintaining accuracy is key to minimizing user burden and maximizing impact. nn#HealthTech #MachineLearning #DigitalHealth #BehaviorChange #PhysicalActivity #PersonalizedMedicine #WellnessTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 587, "completion_tokens": 146, "total_tokens": 733, "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 - 587 |
Healthcare Cybersecurity: 183 Million Patient Records Exposed in 2024HIT Consultant - (Saturday January 25, 2025) - Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – Fortified Health Security, a managed security services provider (MSSP) specializing in healthcare cybersecurity released its 2025 Horizon Report. – The semiannual publication provides valuable insights into the latest cybersecurity trends, threats,... 🚨 The healthcare cybersecurity landscape is alarming! The 2025 Horizon Report reveals that 183 million patient records were exposed in 2024, a 9% increase from the previous year. Key vulnerabilities include Business Associates, which accounted for 67% of exposed records, and a staggering 2,000% rise in cyberattacks on Healthcare Clearing Houses. Phishing attacks are also on the rise, with email breaches increasing by 18%. As we navigate these challenges, understanding trends and threats is crucial for safeguarding patient data. Let's prioritize robust cybersecurity strategies! #HealthcareIT #Cybersecurity #DataProtection #PatientSafety #HealthTech #AI #CyberThreats 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-AtMS7ijmI86yQySYkTxSedQKKBx7n", "object": "chat.completion", "created": 1737757711, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚨 The healthcare cybersecurity landscape is alarming! The 2025 Horizon Report reveals that 183 million patient records were exposed in 2024, a 9% increase from the previous year. Key vulnerabilities include Business Associates, which accounted for 67% of exposed records, and a staggering 2,000% rise in cyberattacks on Healthcare Clearing Houses. Phishing attacks are also on the rise, with email breaches increasing by 18%. As we navigate these challenges, understanding trends and threats is crucial for safeguarding patient data. Let's prioritize robust cybersecurity strategies! #HealthcareIT #Cybersecurity #DataProtection #PatientSafety #HealthTech #AI #CyberThreats", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 453, "completion_tokens": 135, "total_tokens": 588, "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 - 453 |