ChatGPT Summaries
Mike Fell: taking security out of the shadowsDigital Health - (Monday November 18, 2024) - Daily Reads/ Digital Health | |
![]() | [ ]Before his role as executive director of national cyber security operations at NHS England, Mike Fell spent 15 years in a variety of government security roles which included postings from Afghanistan to Zanzibar and... In a recent discussion, Mike Fell, NHS England's executive director of national cyber security operations, emphasized the critical need for robust cybersecurity measures in healthcare. He highlighted the unique vulnerabilities of the NHS due to its complexity and legacy systems, while noting that cyber attacks have plateaued. Fell advocates for foundational controls, such as multi-factor authentication, to mitigate risks and enhance patient safety. As the NHS moves towards centralization, he stresses the importance of designing secure systems from the outset. His insights will be shared at Rewired 2025, focusing on transparency in cybersecurity. #Cybersecurity #NHS #HealthIT #PatientSafety #DataProtection #DigitalHealth #CyberResilience 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-AUvWr6cwR5iesnChDcysETAyvaz1l", "object": "chat.completion", "created": 1731934345, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent discussion, Mike Fell, NHS England's executive director of national cyber security operations, emphasized the critical need for robust cybersecurity measures in healthcare. He highlighted the unique vulnerabilities of the NHS due to its complexity and legacy systems, while noting that cyber attacks have plateaued. Fell advocates for foundational controls, such as multi-factor authentication, to mitigate risks and enhance patient safety. As the NHS moves towards centralization, he stresses the importance of designing secure systems from the outset. His insights will be shared at Rewired 2025, focusing on transparency in cybersecurity. #Cybersecurity #NHS #HealthIT #PatientSafety #DataProtection #DigitalHealth #CyberResilience", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1659, "completion_tokens": 135, "total_tokens": 1794, "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_9b78b61c52" } Prompt Tokens - 1659 |
Trust reverses £65m EPR procurement decision after court claimDigital Health - (Monday November 18, 2024) - Digital Health/ Frequent Updates | |
![]() | Mersey and West Lancashire Teaching Hospitals NHS Trust has withdrawn its decision to award a £65 million electronic patient record (EPR) contract following a legal challenge. The trust previously told Digital Health News that it... In a significant turn of events, Mersey and West Lancashire Teaching Hospitals NHS Trust has reversed its £65 million electronic patient record (EPR) contract award following a legal challenge from incumbent supplier System C. The trust opted to withdraw the decision to avoid the costs and disruptions of litigation, emphasizing the need for a fair procurement process. System C alleged that the evaluation criteria were altered post-competition, raising concerns about transparency. As the trust reassesses its procurement strategy, the focus remains on ensuring effective digital transformation for improved patient care.#HealthcareIT #DigitalHealth #EPR #NHS #Procurement #PatientCare #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-AUvWXDPf38UnU9lRVf1R7o3gKvBOE", "object": "chat.completion", "created": 1731934325, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a significant turn of events, Mersey and West Lancashire Teaching Hospitals NHS Trust has reversed its £65 million electronic patient record (EPR) contract award following a legal challenge from incumbent supplier System C. The trust opted to withdraw the decision to avoid the costs and disruptions of litigation, emphasizing the need for a fair procurement process. System C alleged that the evaluation criteria were altered post-competition, raising concerns about transparency. As the trust reassesses its procurement strategy, the focus remains on ensuring effective digital transformation for improved patient care. nn#HealthcareIT #DigitalHealth #EPR #NHS #Procurement #PatientCare #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 594, "completion_tokens": 128, "total_tokens": 722, "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_9b78b61c52" } Prompt Tokens - 594 |
A strategy for cost-effective large language model use at health system-scalenpj Digital Medicine - (Monday November 18, 2024) - Frequent Updates/ npj Digital Medicine | |
![]() | Large language models (LLMs) can optimize clinical workflows; however, the economic and computational challenges of their utilization at the health system scale are underexplored. We evaluated how concatenating queries with multiple clinical notes and... Unlocking the potential of large language models (LLMs) in healthcare requires a strategic approach to manage costs and optimize performance. Our recent study evaluated ten LLMs under real-world clinical loads, revealing that high-capacity models like GPT-4-turbo-128k and Llama-3-70B excel in handling up to 50 simultaneous tasks while maintaining accuracy. By employing a concatenation strategy, we demonstrated up to a 17-fold cost reduction at scale. This research highlights the importance of balancing computational efficiency with clinical accuracy, paving the way for effective LLM integration in health systems.#HealthIT #AIinHealthcare #DigitalHealth #MachineLearning #HealthcareInnovation #CostEfficiency #ClinicalWorkflows 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-AUum5wM8ueY14CG8zF9kMdgqALkjs", "object": "chat.completion", "created": 1731931445, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of large language models (LLMs) in healthcare requires a strategic approach to manage costs and optimize performance. Our recent study evaluated ten LLMs under real-world clinical loads, revealing that high-capacity models like GPT-4-turbo-128k and Llama-3-70B excel in handling up to 50 simultaneous tasks while maintaining accuracy. By employing a concatenation strategy, we demonstrated up to a 17-fold cost reduction at scale. This research highlights the importance of balancing computational efficiency with clinical accuracy, paving the way for effective LLM integration in health systems. nn#HealthIT #AIinHealthcare #DigitalHealth #MachineLearning #HealthcareInnovation #CostEfficiency #ClinicalWorkflows", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29744, "completion_tokens": 144, "total_tokens": 29888, "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_9b78b61c52" } Prompt Tokens - 29744 |
Simulating A/B testing versus SMART designs for LLM-driven patient engagement to close preventive care gapsnpj Digital Medicine - (Monday November 18, 2024) - Frequent Updates/ npj Digital Medicine | |
![]() | Population health initiatives often rely on cold outreach to close gaps in preventive care, such as overdue screenings or immunizations. Tailoring messages to diverse patient populations remains challenging, as traditional A/B testing requires large... Exploring the effectiveness of patient engagement strategies, a recent study compares A/B testing with SMART designs in utilizing large language models (LLMs) for outreach. Findings reveal that SMART designs outperform traditional methods in detecting heterogeneous treatment effects (HTEs) and are more cost-effective across various scenarios. As healthcare continues to evolve, leveraging adaptive trial designs can enhance personalized communication and close preventive care gaps. This research underscores the potential of integrating LLMs with human support for optimized patient engagement.#HealthcareIT #PatientEngagement #DigitalHealth #HealthEquity #DataAnalytics #HealthTech #PreventiveCare 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-AUsHED5t4eZTvncmrruLNFtHk8E2i", "object": "chat.completion", "created": 1731921844, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exploring the effectiveness of patient engagement strategies, a recent study compares A/B testing with SMART designs in utilizing large language models (LLMs) for outreach. Findings reveal that SMART designs outperform traditional methods in detecting heterogeneous treatment effects (HTEs) and are more cost-effective across various scenarios. As healthcare continues to evolve, leveraging adaptive trial designs can enhance personalized communication and close preventive care gaps. This research underscores the potential of integrating LLMs with human support for optimized patient engagement. nn#HealthcareIT #PatientEngagement #DigitalHealth #HealthEquity #DataAnalytics #HealthTech #PreventiveCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25058, "completion_tokens": 120, "total_tokens": 25178, "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_9b78b61c52" } Prompt Tokens - 25058 |
NHSE announces digital eye screening plans for diabetes patientsDigital Health - (Monday November 18, 2024) - Digital Health/ Frequent Updates | |
![]() | NHS England has announced plans to provide advanced eye scans in the community for people with diabetes, potentially saving up to 120,000 hospital appointments a year and helping to prevent sight loss. The rollout of... NHS England is set to revolutionize diabetes care with the rollout of advanced eye screening using optical coherence tomography (OCT). This initiative aims to provide around 60,000 diabetes patients with access to cutting-edge eye scans in community settings, potentially saving 120,000 hospital appointments annually. By detecting diabetic retinopathy early, OCT technology enhances patient outcomes and alleviates pressure on hospital services. With training for NHS staff underway, all eye care services are expected to adopt OCT by October 2025. This move not only boosts productivity but also prioritizes patient care across the UK.#HealthcareIT #DiabetesCare #Ophthalmology #PatientSafety #DigitalHealth #NHS #HealthInnovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AUt1hl3qyIVpgi3jOMnHR9lrl1d7B", "object": "chat.completion", "created": 1731924725, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "NHS England is set to revolutionize diabetes care with the rollout of advanced eye screening using optical coherence tomography (OCT). This initiative aims to provide around 60,000 diabetes patients with access to cutting-edge eye scans in community settings, potentially saving 120,000 hospital appointments annually. By detecting diabetic retinopathy early, OCT technology enhances patient outcomes and alleviates pressure on hospital services. With training for NHS staff underway, all eye care services are expected to adopt OCT by October 2025. This move not only boosts productivity but also prioritizes patient care across the UK. nn#HealthcareIT #DiabetesCare #Ophthalmology #PatientSafety #DigitalHealth #NHS #HealthInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 737, "completion_tokens": 143, "total_tokens": 880, "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_9b78b61c52" } Prompt Tokens - 737 |
Korean consortium to use AI, supercomputers for cancer drug discoveryMobiHealthNews - (Monday November 18, 2024) - Frequent Updates/ MobiHealthNews | |
![]() | A consortium of research institutes in South Korea has been formed to promote the utilisation of AI and national supercomputers in discovering novel drugs for treating lung cancer.According to a press statement, the following organisations will... A new consortium in South Korea is harnessing AI and supercomputers to revolutionize lung cancer drug discovery. Key players, including Yonsei University and KAIST, will collaborate in four phases: collecting tissue samples, simulating drug interactions, synthesizing candidates, and validating results through clinical trials. This initiative aims to tackle challenges like low drug efficacy and high toxicity while building extensive cancer data infrastructures. By leveraging AI's capabilities, the consortium seeks to accelerate drug discovery and enhance personalized treatment approaches. The first findings are expected by mid-next year.#HealthcareIT #CancerResearch #AIinHealthcare #DrugDiscovery #PrecisionMedicine #Supercomputing #Innovation As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text. { "id": "chatcmpl-AUpn0dpZGbKshjij10NPQHgdU4Mpf", "object": "chat.completion", "created": 1731912282, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A new consortium in South Korea is harnessing AI and supercomputers to revolutionize lung cancer drug discovery. Key players, including Yonsei University and KAIST, will collaborate in four phases: collecting tissue samples, simulating drug interactions, synthesizing candidates, and validating results through clinical trials. This initiative aims to tackle challenges like low drug efficacy and high toxicity while building extensive cancer data infrastructures. By leveraging AI's capabilities, the consortium seeks to accelerate drug discovery and enhance personalized treatment approaches. The first findings are expected by mid-next year. nn#HealthcareIT #CancerResearch #AIinHealthcare #DrugDiscovery #PrecisionMedicine #Supercomputing #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 825, "completion_tokens": 131, "total_tokens": 956, "prompt_tokens_details": { "cached_tokens": 0, "audio_tokens": 0 }, "completion_tokens_details": { "reasoning_tokens": 0, "audio_tokens": 0, "accepted_prediction_tokens": 0, "rejected_prediction_tokens": 0 } }, "system_fingerprint": "fp_9b78b61c52" } Prompt Tokens - 825 |
Improving Patient Engagement Through EHR-Driven Communication ToolsHIT Consultant - (Monday November 18, 2024) - Frequent Updates/ HIT Consultant | |
![]() | Kamal Sharma, Project Manager at OmniMDThe integration of Electronic Health Records (EHR) systems within healthcare organizations has revolutionized patient engagement. With the rise of healthcare IT solutions, EHR-driven communication tools such as patient portals,... EHR-driven communication tools are revolutionizing patient engagement by enhancing access to health data and facilitating better communication between patients and providers. Key innovations like patient portals and telehealth apps have led to significant improvements, including a 70% increase in patient satisfaction and a 30% reduction in hospital readmissions. These tools empower patients to take an active role in their care, especially in managing chronic conditions. As we integrate AI and predictive analytics, the future of patient engagement looks even more promising, ensuring personalized and efficient healthcare delivery.#HealthcareIT #PatientEngagement #EHR #Telehealth #DigitalHealth #HealthTech #AIinHealthcare 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-AUpmkBOuKTAj3IQwnBiICMvg1xMGJ", "object": "chat.completion", "created": 1731912266, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "EHR-driven communication tools are revolutionizing patient engagement by enhancing access to health data and facilitating better communication between patients and providers. Key innovations like patient portals and telehealth apps have led to significant improvements, including a 70% increase in patient satisfaction and a 30% reduction in hospital readmissions. These tools empower patients to take an active role in their care, especially in managing chronic conditions. As we integrate AI and predictive analytics, the future of patient engagement looks even more promising, ensuring personalized and efficient healthcare delivery. nn#HealthcareIT #PatientEngagement #EHR #Telehealth #DigitalHealth #HealthTech #AIinHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1688, "completion_tokens": 128, "total_tokens": 1816, "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_9b78b61c52" } Prompt Tokens - 1688 |
How Temporal Artery Thermometry Improves Patient Safety Through Accurate Temperature MonitoringHIT Consultant - (Monday November 18, 2024) - Frequent Updates/ HIT Consultant | |
![]() | Dr. Francesco Pompei, CEO and Founder of Exergen CorporationAccurate and frequent temperature monitoring is paramount when it comes to ensuring favorable patient outcomes in the medical community. When a patient is admitted to the... Accurate temperature monitoring is crucial for patient safety, especially in hospital settings. Temporal artery thermometers offer a reliable alternative to less accurate non-contact infrared thermometers, which can lead to dangerous delays in treatment. By measuring temperature via the temporal artery, these devices can detect changes up to two hours earlier than traditional methods, significantly improving patient outcomes. With the World Health Organization noting that 50% of patient harm is preventable, adopting temporal artery technology should be a standard practice in healthcare facilities to enhance early detection and ensure optimal care. #PatientSafety #HealthcareIT #MedicalDevices #TemperatureMonitoring #SepsisAwareness #ClinicalExcellence #PatientOutcomes 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-AUpmPpEIksttAx1ioHx7z5XnYMngm", "object": "chat.completion", "created": 1731912245, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Accurate temperature monitoring is crucial for patient safety, especially in hospital settings. Temporal artery thermometers offer a reliable alternative to less accurate non-contact infrared thermometers, which can lead to dangerous delays in treatment. By measuring temperature via the temporal artery, these devices can detect changes up to two hours earlier than traditional methods, significantly improving patient outcomes. With the World Health Organization noting that 50% of patient harm is preventable, adopting temporal artery technology should be a standard practice in healthcare facilities to enhance early detection and ensure optimal care. #PatientSafety #HealthcareIT #MedicalDevices #TemperatureMonitoring #SepsisAwareness #ClinicalExcellence #PatientOutcomes", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1181, "completion_tokens": 131, "total_tokens": 1312, "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_9b78b61c52" } Prompt Tokens - 1181 |
Blooms The Chemist integrates Healthengine and more briefsHealthcare IT news - (Monday November 18, 2024) - Frequent Updates/ Healthcare IT News | |
![]() | Blooms The Chemist implements booking platformPharmacy chain Blooms The Chemist has adopted Healthengine's booking platform to streamline appointment management and enhance scheduling. It now allows customers to book pharmacy services, including vaccinations, via Healthengine round... Exciting advancements in healthcare IT are reshaping patient care! Blooms The Chemist has integrated Healthengine’s booking platform, enabling 24/7 appointment management for pharmacy services. Northern Health's VVED portal enhances patient registration, reducing duplicate records by 10% in just 15 days. Meanwhile, Peninsula Health is digitizing oncology medication management with Magentus, improving patient safety and efficiency. These innovations highlight the transformative power of technology in healthcare delivery. Let’s continue to drive progress in our field!#HealthTech #DigitalHealth #PatientCare #HealthcareInnovation #HealthIT #Telehealth #PharmacyTech 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-AUlJao2n2sIJTs4xykXCgBy9Qizg7", "object": "chat.completion", "created": 1731895082, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare IT are reshaping patient care! Blooms The Chemist has integrated Healthengine’s booking platform, enabling 24/7 appointment management for pharmacy services. Northern Health's VVED portal enhances patient registration, reducing duplicate records by 10% in just 15 days. Meanwhile, Peninsula Health is digitizing oncology medication management with Magentus, improving patient safety and efficiency. These innovations highlight the transformative power of technology in healthcare delivery. Let’s continue to drive progress in our field! nn#HealthTech #DigitalHealth #PatientCare #HealthcareInnovation #HealthIT #Telehealth #PharmacyTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 690, "completion_tokens": 125, "total_tokens": 815, "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_9b78b61c52" } Prompt Tokens - 690 |
Monday Morning Update 11/18/24 – HIStalkHIStalk - (Sunday November 17, 2024) - Daily Reads/ HIStalk | |
![]() | Top NewsSödra Älvsborg Hospital in Sweden pauses its use of the recently implemented Oracle Health Millennium. The regional director apologized, acknowledging that “the introduction has not gone according to plan.” Specific user complaints include... Södra Älvsborg Hospital in Sweden has halted its use of Oracle Health Millennium due to significant issues, including system slowness and incorrect diagnoses. Employees demonstrated for a return to the previous system, citing concerns over patient safety and efficiency. Meanwhile, CommonWell continues to expand, now serving over 37,000 providers and 248 million individuals, with plans for enhanced data exchange via FHIR. In other news, WellSky launched AI tools to improve EHR efficiency, while Upheal secured $10 million in funding for its clinical documentation assistant.#HealthIT #EHR #PatientSafety #DigitalHealth #HealthcareInnovation #FHIR #AIinHealthcare 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-AUgPkA2XuW2VXn8L4fCaLgoCXTbVf", "object": "chat.completion", "created": 1731876244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Södra Älvsborg Hospital in Sweden has halted its use of Oracle Health Millennium due to significant issues, including system slowness and incorrect diagnoses. Employees demonstrated for a return to the previous system, citing concerns over patient safety and efficiency. Meanwhile, CommonWell continues to expand, now serving over 37,000 providers and 248 million individuals, with plans for enhanced data exchange via FHIR. In other news, WellSky launched AI tools to improve EHR efficiency, while Upheal secured $10 million in funding for its clinical documentation assistant. nn#HealthIT #EHR #PatientSafety #DigitalHealth #HealthcareInnovation #FHIR #AIinHealthcare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2204, "completion_tokens": 134, "total_tokens": 2338, "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_9b78b61c52" } Prompt Tokens - 2204 |










