ChatGPT Summaries
Clinical and economic impact of a large language model in perioperative medicine: a randomized crossover trialnpj Digital Medicine - (Tuesday July 22, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Preoperative assessment is a critical but time-consuming component of perioperative care, often hindered by poor guideline adherence and high documentation burdens. This study evaluates the impact of PEACH (PErioperative AI CHatbot), an LLM-based clinical... Exciting advancements in perioperative medicine! A recent randomized crossover trial evaluated the PErioperative AI CHatbot (PEACH), a large language model (LLM) designed to enhance documentation efficiency and quality during preoperative assessments. While overall documentation time did not significantly decrease, notable time savings were observed for moderate-complexity cases and experienced clinicians. Economic modeling suggests potential annual savings of approximately SGD 197,501 (USD 146,297). These findings highlight the promising role of AI in improving clinical workflows and cost-effectiveness in healthcare settings.#HealthcareIT #AIinHealthcare #PerioperativeMedicine #DigitalHealth #HealthEconomics #ClinicalDecisionSupport #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-Bvtf5135AYZNE2ervkqGRqqrtBQnI", "object": "chat.completion", "created": 1753138359, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in perioperative medicine! A recent randomized crossover trial evaluated the PErioperative AI CHatbot (PEACH), a large language model (LLM) designed to enhance documentation efficiency and quality during preoperative assessments. While overall documentation time did not significantly decrease, notable time savings were observed for moderate-complexity cases and experienced clinicians. Economic modeling suggests potential annual savings of approximately SGD 197,501 (USD 146,297). These findings highlight the promising role of AI in improving clinical workflows and cost-effectiveness in healthcare settings. nn#HealthcareIT #AIinHealthcare #PerioperativeMedicine #DigitalHealth #HealthEconomics #ClinicalDecisionSupport #InnovationInHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 23374, "completion_tokens": 138, "total_tokens": 23512, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 23374 |
Enhancing EHR-based pancreatic cancer prediction with LLM-derived embeddingsnpj Digital Medicine - (Tuesday July 22, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Pancreatic cancer (PC) is often diagnosed late, as early symptoms and effective screening tools are lacking, and genetic or familial factors explain only ~10% of cases. Leveraging longitudinal electronic health record (EHR) data may... Leveraging EHR data with large language model (LLM)-derived embeddings significantly enhances pancreatic cancer prediction. This study demonstrates that using LLM embeddings improved prediction accuracy, with AUROCs rising from 0.60 to 0.67 and 0.82 to 0.86 across two medical centers. Notably, the model identified high-risk patients lacking traditional risk factors, showcasing its potential as an independent screening tool. As we move towards integrating AI in healthcare, this approach paves the way for more precise early detection strategies.#HealthcareIT #MachineLearning #EHR #PancreaticCancer #PredictiveAnalytics #AIinHealthcare #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-Bvte4PKGy7vHPZYQ1ZMULanaWVhr7", "object": "chat.completion", "created": 1753138296, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Leveraging EHR data with large language model (LLM)-derived embeddings significantly enhances pancreatic cancer prediction. This study demonstrates that using LLM embeddings improved prediction accuracy, with AUROCs rising from 0.60 to 0.67 and 0.82 to 0.86 across two medical centers. Notably, the model identified high-risk patients lacking traditional risk factors, showcasing its potential as an independent screening tool. As we move towards integrating AI in healthcare, this approach paves the way for more precise early detection strategies. nn#HealthcareIT #MachineLearning #EHR #PancreaticCancer #PredictiveAnalytics #AIinHealthcare #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 24079, "completion_tokens": 134, "total_tokens": 24213, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 24079 |
The Way We Think About Aging is Dead WrongeHealth Radio Network - (Tuesday July 22, 2025) - eHealth Radio Network/ Podcasts | |
![]() | Eileen Kopsaftis, Founder of Have Lifelong Wellbeing, which provides online movement, health, and aging content that is not well known but should be joins eHealth Radio and the Health News Channel.Listen to interview with... The way we perceive aging is fundamentally flawed. Eileen Kopsaftis, founder of Have Lifelong Wellbeing, challenges misconceptions about aging and emphasizes that it’s never too late to improve muscle strength, posture, and mobility. She advocates for the right foods and movements to alleviate joint pain and enhance quality of life, debunking myths that lead to unnecessary fears about aging. With over 30 years of experience, Eileen empowers individuals to embrace healthy aging and live pain-free into their nineties and beyond.#HealthyAging #PainManagement #Wellness #MovementMatters #HealthcareIT #ChronicPain #AgingWell 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-Bw09IKnPaYm92HG7KuJwSkDGxgkBj", "object": "chat.completion", "created": 1753163296, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The way we perceive aging is fundamentally flawed. Eileen Kopsaftis, founder of Have Lifelong Wellbeing, challenges misconceptions about aging and emphasizes that it’s never too late to improve muscle strength, posture, and mobility. She advocates for the right foods and movements to alleviate joint pain and enhance quality of life, debunking myths that lead to unnecessary fears about aging. With over 30 years of experience, Eileen empowers individuals to embrace healthy aging and live pain-free into their nineties and beyond. nn#HealthyAging #PainManagement #Wellness #MovementMatters #HealthcareIT #ChronicPain #AgingWell", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 630, "completion_tokens": 130, "total_tokens": 760, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 630 |
How Healthcare Organizations Can Pick the Right MSP for Their Security NeedsHealthTech Magazine - (Tuesday July 22, 2025) - Frequent Updates/ HealthTech Magazine | |
![]() | Why Healthcare Organizations Turn to MSSPs Along with the potential to fill staffing shortages, MSSPs help address the “constant barrage of attacks on the industry,” according to Christopher Fielder, director of product marketing at Arctic... In today's healthcare landscape, selecting the right Managed Security Service Provider (MSSP) is crucial for addressing cybersecurity vulnerabilities. With the industry's growing skills gap, MSSPs offer essential expertise and support, allowing healthcare organizations to focus on strategic security policies rather than routine tasks. Key benefits include vulnerability management, identity management, and centralized logging, which enhance security posture and incident response capabilities. As cyber threats evolve, a tailored MSSP partnership can significantly bolster defenses and ensure patient safety.#HealthcareIT #Cybersecurity #MSSP #DataProtection #HealthTech #ITManagement #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-BvsVsngTJEIGieidtuxeErq9DMTSL", "object": "chat.completion", "created": 1753133944, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In today's healthcare landscape, selecting the right Managed Security Service Provider (MSSP) is crucial for addressing cybersecurity vulnerabilities. With the industry's growing skills gap, MSSPs offer essential expertise and support, allowing healthcare organizations to focus on strategic security policies rather than routine tasks. Key benefits include vulnerability management, identity management, and centralized logging, which enhance security posture and incident response capabilities. As cyber threats evolve, a tailored MSSP partnership can significantly bolster defenses and ensure patient safety. nn#HealthcareIT #Cybersecurity #MSSP #DataProtection #HealthTech #ITManagement #PatientSafety", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 6214, "completion_tokens": 117, "total_tokens": 6331, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 6214 |
Osteoarthritis progression pattern based on patient specific characteristics using machine learningnpj Digital Medicine - (Tuesday July 22, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. From 2003 to 2017, data from 833 knees were analyzed.... Machine learning is revolutionizing osteoarthritis (OA) research by predicting progression patterns based on patient-specific characteristics. A recent study analyzed data from 833 knees, revealing that demographic factors like age, body mass index (BMI), and bone mineral density (BMD) significantly influence OA development. The study identified distinct OA phenotypes, with patients having low BMD more likely to progress to tricompartmental OA with joint space narrowing (JSN). Conversely, those with high BMD tended to develop unicompartmental OA. This research highlights the potential for personalized treatment strategies in managing OA progression. #HealthcareIT #MachineLearning #Osteoarthritis #DataScience #PersonalizedMedicine #AIinHealthcare #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-Bvr7iaBFbxmtiucN4WD0r3eg2XVHd", "object": "chat.completion", "created": 1753128602, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Machine learning is revolutionizing osteoarthritis (OA) research by predicting progression patterns based on patient-specific characteristics. A recent study analyzed data from 833 knees, revealing that demographic factors like age, body mass index (BMI), and bone mineral density (BMD) significantly influence OA development. The study identified distinct OA phenotypes, with patients having low BMD more likely to progress to tricompartmental OA with joint space narrowing (JSN). Conversely, those with high BMD tended to develop unicompartmental OA. This research highlights the potential for personalized treatment strategies in managing OA progression. #HealthcareIT #MachineLearning #Osteoarthritis #DataScience #PersonalizedMedicine #AIinHealthcare #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25012, "completion_tokens": 143, "total_tokens": 25155, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 25012 |
Evaluating the role of large language models in traditional Chinese medicine diagnosis and treatment recommendationsnpj Digital Medicine - (Tuesday July 22, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Digital health technologies hold significant potential for reducing global healthcare disparities. Large language models (LLMs) offer new opportunities to enhance access to culturally specific healthcare, including traditional Chinese medicine (TCM). This study evaluated the... Unlocking the potential of large language models (LLMs) in traditional Chinese medicine (TCM) could revolutionize healthcare accessibility. A recent study evaluated seven LLMs against professional acupuncturists in diagnosing and recommending treatments for a complex acupuncture case. Findings revealed that models like GPT-4o and Qwen 2.5 Max matched acupuncturists in TCM diagnosis and acupoint selection, showcasing LLMs' ability to bridge cultural and linguistic gaps in healthcare. This research emphasizes the promise of LLMs in enhancing culturally relevant care and improving health equity.#HealthTech #DigitalHealth #AIinHealthcare #TraditionalChineseMedicine #HealthEquity #MachineLearning #InnovationInMedicine 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-Bvr6nkJvcTZbSEsHNSDiRfUMIG9yv", "object": "chat.completion", "created": 1753128545, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of large language models (LLMs) in traditional Chinese medicine (TCM) could revolutionize healthcare accessibility. A recent study evaluated seven LLMs against professional acupuncturists in diagnosing and recommending treatments for a complex acupuncture case. Findings revealed that models like GPT-4o and Qwen 2.5 Max matched acupuncturists in TCM diagnosis and acupoint selection, showcasing LLMs' ability to bridge cultural and linguistic gaps in healthcare. This research emphasizes the promise of LLMs in enhancing culturally relevant care and improving health equity. nn#HealthTech #DigitalHealth #AIinHealthcare #TraditionalChineseMedicine #HealthEquity #MachineLearning #InnovationInMedicine", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26669, "completion_tokens": 143, "total_tokens": 26812, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 26669 |
Curbside Consult with Dr. Jayne 7/21/25HIStalk - (Monday July 21, 2025) - Daily Reads/ HIStalk | |
![]() | Mr. H is running a poll that asks, “Is it ethical for doctors to prescribe the drugs of their pharma sponsors to people who seek specific treatments?” He also posed a couple of follow-up... In a recent discussion, Dr. Jayne explores the ethical implications of physicians prescribing drugs from their pharma sponsors. Key points include the alarming statistic that one-third of Americans lack a primary care physician, leading many to seek care from retail or online clinics. Dr. Jayne emphasizes the importance of reviewing patient histories before prescribing and raises concerns about rising healthcare costs and potential legal repercussions for prescribers. The conversation highlights the need for transparency and patient-centered care in an increasingly commercialized healthcare landscape.#HealthcareIT #Telehealth #PatientCare #PharmaceuticalEthics #HealthPolicy #PrimaryCare #HealthcareInnovation 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-BvsIaVUvtOeTup5rb5WlX6vwMH4YF", "object": "chat.completion", "created": 1753133120, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent discussion, Dr. Jayne explores the ethical implications of physicians prescribing drugs from their pharma sponsors. Key points include the alarming statistic that one-third of Americans lack a primary care physician, leading many to seek care from retail or online clinics. Dr. Jayne emphasizes the importance of reviewing patient histories before prescribing and raises concerns about rising healthcare costs and potential legal repercussions for prescribers. The conversation highlights the need for transparency and patient-centered care in an increasingly commercialized healthcare landscape. nn#HealthcareIT #Telehealth #PatientCare #PharmaceuticalEthics #HealthPolicy #PrimaryCare #HealthcareInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1693, "completion_tokens": 122, "total_tokens": 1815, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 1693 |
A Quick Look at DirectTrust’s Upcoming EventHealthcare IT Today - (Monday July 21, 2025) - Healthcare IT Today/ Videos | |
![]() | 🎤 This isn’t your typical conference…DirectTrust’s upcoming event is shaping up to be something special. In this quick video, John Lynn chats with Kathryn Ayers Wickenhauser, Chief Strategy Officer at DirectTrust, about how they’re... Exciting times ahead for healthcare IT! DirectTrust's upcoming event promises to redefine the conference experience with a focus on interoperability, identity, and cybersecurity. Join Kathryn Ayers Wickenhauser as she shares insights on participatory breakout sessions that encourage active engagement and real connections. Set in St. Louis, this event is not just about learning—it's about shaping the future of healthcare data exchange. Don't miss out on the opportunity to be part of this transformative experience!#HealthcareIT #Interoperability #Cybersecurity #DigitalIdentity #HealthDataExchange #DirectTrust #HealthcareInnovation 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-Bw2a8yceXavrM9fUPLeMAmch5b0Gz", "object": "chat.completion", "created": 1753172648, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting times ahead for healthcare IT! DirectTrust's upcoming event promises to redefine the conference experience with a focus on interoperability, identity, and cybersecurity. Join Kathryn Ayers Wickenhauser as she shares insights on participatory breakout sessions that encourage active engagement and real connections. Set in St. Louis, this event is not just about learning—it's about shaping the future of healthcare data exchange. Don't miss out on the opportunity to be part of this transformative experience! nn#HealthcareIT #Interoperability #Cybersecurity #DigitalIdentity #HealthDataExchange #DirectTrust #HealthcareInnovation", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 284, "completion_tokens": 117, "total_tokens": 401, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 284 |
Associations Between Daily Symptoms and Pain Flares in Rheumatoid Arthritis: Case-Crossover mHealth StudyJMIR mHealth and uHealth - (Monday July 21, 2025) - Frequent Updates/ JMIR mHealth and uHealth | |
![]() | Background: Pain fluctuations are common in chronic musculoskeletal conditions, with periods of increased pain severity, known as pain flares, often occurring alongside worsening disease activity. These painful episodes can lead to significant impacts, including... Understanding pain flares in rheumatoid arthritis (RA) is crucial for improving patient quality of life. A recent mHealth study analyzed daily symptoms and their association with pain severity, revealing that 88.7% of participants experienced at least one pain flare. Notably, worsening mood significantly increased the likelihood of these flares. The findings underscore the value of leveraging digital technologies for real-time monitoring and personalized management of RA, paving the way for enhanced patient care.#HealthcareIT #RheumatoidArthritis #mHealth #DigitalHealth #PatientCare #ChronicPain #DataDrivenHealthcare 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-Bvrjf4BNDa7B79W0bvRiDbybpXtjp", "object": "chat.completion", "created": 1753130955, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Understanding pain flares in rheumatoid arthritis (RA) is crucial for improving patient quality of life. A recent mHealth study analyzed daily symptoms and their association with pain severity, revealing that 88.7% of participants experienced at least one pain flare. Notably, worsening mood significantly increased the likelihood of these flares. The findings underscore the value of leveraging digital technologies for real-time monitoring and personalized management of RA, paving the way for enhanced patient care. nn#HealthcareIT #RheumatoidArthritis #mHealth #DigitalHealth #PatientCare #ChronicPain #DataDrivenHealthcare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 751, "completion_tokens": 119, "total_tokens": 870, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 751 |
Readers Write: The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application RationalizationHIStalk - (Monday July 21, 2025) - Daily Reads/ HIStalk | |
![]() | The Multi-Million Dollar Transformation Opportunity Healthcare Loves to Hate: Application RationalizationBy Amy Penning Amy Penning is senior application analyst at CereCore. Rationalize your applications, they say. It will lead to cost savings, streamline... Transforming healthcare IT starts with application rationalization (AppRat), a vital yet often overlooked strategy. While it promises cost savings and operational efficiency, many hesitate due to its complexity and resource demands. Application sprawl can drain resources, inflate costs, and heighten cybersecurity risks, especially in small to mid-sized hospitals. Embracing AppRat not only simplifies integration and governance but also enhances patient safety. Make rationalization a continuous practice to gain full visibility into your IT landscape before embarking on major technological changes. Let’s prioritize this foundational step for a more efficient healthcare future!#HealthcareIT #ApplicationRationalization #DigitalTransformation #HealthTech #ITStrategy #OperationalEfficiency #Cybersecurity 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-BvpqaiEMrrXKJ5HS1BTR2KcDqjpgR", "object": "chat.completion", "created": 1753123696, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Transforming healthcare IT starts with application rationalization (AppRat), a vital yet often overlooked strategy. While it promises cost savings and operational efficiency, many hesitate due to its complexity and resource demands. Application sprawl can drain resources, inflate costs, and heighten cybersecurity risks, especially in small to mid-sized hospitals. Embracing AppRat not only simplifies integration and governance but also enhances patient safety. Make rationalization a continuous practice to gain full visibility into your IT landscape before embarking on major technological changes. Let’s prioritize this foundational step for a more efficient healthcare future! nn#HealthcareIT #ApplicationRationalization #DigitalTransformation #HealthTech #ITStrategy #OperationalEfficiency #Cybersecurity", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 549, "completion_tokens": 138, "total_tokens": 687, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "service_tier": "default", "system_fingerprint": null } Prompt Tokens - 549 |











