ChatGPT Summaries
Smoothing the Epic Migration to AWS at GeisingerHealthcare IT Today - (Thursday February 6, 2025) - Healthcare IT Today/ Videos | |
![]() | Geisinger, a major health care provider and medical education center, has what is probably the largest public cloud-based instance of Epic in the industry. In this video interview with Marlin Moyer, Associate Vice President... Geisinger is pioneering cloud transformation in healthcare by migrating a significant portion of its Epic systems to AWS. In a recent interview, Marlin Moyer, Associate VP of Electronic Health Records, discusses the strategic planning and execution behind this major shift. While they still operate two data centers, moving 40% of their servers has reduced costs and complexity, showcasing the potential of cloud solutions. However, challenges remain as some applications are vendor-locked to on-premises systems. This migration highlights the evolving landscape of healthcare IT and the importance of adaptability in our industry. #HealthIT #CloudComputing #Epic #AWS #DigitalTransformation #HealthcareInnovation #EHR 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-Ay4iMPa9MI1VKTxVGqwAAeYjBpG21", "object": "chat.completion", "created": 1738881166, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Geisinger is pioneering cloud transformation in healthcare by migrating a significant portion of its Epic systems to AWS. In a recent interview, Marlin Moyer, Associate VP of Electronic Health Records, discusses the strategic planning and execution behind this major shift. While they still operate two data centers, moving 40% of their servers has reduced costs and complexity, showcasing the potential of cloud solutions. However, challenges remain as some applications are vendor-locked to on-premises systems. This migration highlights the evolving landscape of healthcare IT and the importance of adaptability in our industry. #HealthIT #CloudComputing #Epic #AWS #DigitalTransformation #HealthcareInnovation #EHR", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 301, "completion_tokens": 133, "total_tokens": 434, "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 - 301 |
Best in KLAS 2025 sees industry progress and vendor momentumHealthcare IT news - (Thursday February 6, 2025) - Frequent Updates/ Healthcare IT News | |
![]() | According to the 2025 Best in KLAS report published this week, Epic has been named the top Overall Health System Suite, followed by Meditech and Oracle Health, for the fifteenth consecutive year. Athenahealth won... The 2025 Best in KLAS report highlights significant advancements in healthcare IT, with Epic retaining its title as the top Overall Health System Suite for the fifteenth year. Athenahealth also shines, winning the Overall Independent Physician Practice Suite award. Notably, Chartis and Evergreen Healthcare Partners received accolades for IT and implementation services, respectively. The report introduces new categories focusing on AI and telehealth, reflecting the industry's evolving landscape. KLAS CEO Adam Gale emphasizes optimism in healthcare's future, driven by technological advancements and improved financial experiences.#HealthcareIT #BestInKLAS #Epic #AIinHealthcare #Telehealth #HealthTech #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-Ay1peb6Lotvu6goGdWqZUaVCSL7fo", "object": "chat.completion", "created": 1738870086, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The 2025 Best in KLAS report highlights significant advancements in healthcare IT, with Epic retaining its title as the top Overall Health System Suite for the fifteenth year. Athenahealth also shines, winning the Overall Independent Physician Practice Suite award. Notably, Chartis and Evergreen Healthcare Partners received accolades for IT and implementation services, respectively. The report introduces new categories focusing on AI and telehealth, reflecting the industry's evolving landscape. KLAS CEO Adam Gale emphasizes optimism in healthcare's future, driven by technological advancements and improved financial experiences. nn#HealthcareIT #BestInKLAS #Epic #AIinHealthcare #Telehealth #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 2615, "completion_tokens": 130, "total_tokens": 2745, "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 - 2615 |
Little Otter Secures $9.5M for Digital Whole-Family Mental HealthHIT Consultant - (Thursday February 6, 2025) - Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know:– Little Otter, a trailblazer in digital whole-family mental health care, has raised $9.5 million in a strategic funding round led by top-tier impact investors, including Pivotal Ventures, Torch Capital, Springbank, CRV,... Little Otter has raised $9.5 million, boosting its total funding to $36.35 million, solidifying its leadership in the family mental health market. Founded by Dr. Helen Egger and Rebecca Egger, the company leverages AI to provide holistic mental health services for children and families. With a focus on accessibility, Little Otter has achieved 2.5x revenue growth in 2024 and 85% of families reported clinical progress after just six sessions. As demand for innovative mental health solutions rises, Little Otter is redefining family care standards with its data-driven approach. #MentalHealth #AI #HealthcareInnovation #FamilyCare #DigitalHealth #Startups #MentalHealthAwareness 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-Ay0xPKFEtiBWcJuBJol1nQMbtiKS9", "object": "chat.completion", "created": 1738866723, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Little Otter has raised $9.5 million, boosting its total funding to $36.35 million, solidifying its leadership in the family mental health market. Founded by Dr. Helen Egger and Rebecca Egger, the company leverages AI to provide holistic mental health services for children and families. With a focus on accessibility, Little Otter has achieved 2.5x revenue growth in 2024 and 85% of families reported clinical progress after just six sessions. As demand for innovative mental health solutions rises, Little Otter is redefining family care standards with its data-driven approach. #MentalHealth #AI #HealthcareInnovation #FamilyCare #DigitalHealth #Startups #MentalHealthAwareness", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 854, "completion_tokens": 144, "total_tokens": 998, "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 - 854 |
Tanner Health System to Deploy Abridge’s AI Platform Across EnterpriseHIT Consultant - (Thursday February 6, 2025) - AI/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – Tanner Health, a healthcare provider in west Georgia and east Alabama, is expanding its implementation of Abridge’s AI-powered clinical documentation platform across its entire health system. – The enterpise deployment follows... Tanner Health System is set to expand its use of Abridge's AI-powered clinical documentation platform across its entire organization, following a successful pilot in behavioral health. Clinicians praised Abridge for streamlining documentation, enhancing patient engagement, and reducing burnout. The platform captures clinical conversations, generating accurate notes that allow providers to focus more on patient care. With its ability to adapt to various care settings, Abridge is positioned to improve quality of care and clinician satisfaction across Tanner’s diverse healthcare landscape. As Dr. Bonnie Boles notes, the impact has exceeded expectations.#HealthcareIT #AIinHealthcare #ClinicalDocumentation #PatientEngagement #DigitalHealth #HealthTech #BurnoutPrevention 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-Ay3a3q9LSXGj6Mh4Er5AJaC1M04EO", "object": "chat.completion", "created": 1738876807, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Tanner Health System is set to expand its use of Abridge's AI-powered clinical documentation platform across its entire organization, following a successful pilot in behavioral health. Clinicians praised Abridge for streamlining documentation, enhancing patient engagement, and reducing burnout. The platform captures clinical conversations, generating accurate notes that allow providers to focus more on patient care. With its ability to adapt to various care settings, Abridge is positioned to improve quality of care and clinician satisfaction across Tanner’s diverse healthcare landscape. As Dr. Bonnie Boles notes, the impact has exceeded expectations. nn#HealthcareIT #AIinHealthcare #ClinicalDocumentation #PatientEngagement #DigitalHealth #HealthTech #BurnoutPrevention", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 613, "completion_tokens": 139, "total_tokens": 752, "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 - 613 |
Paige Expands PanCancer Detect to Identify Cancer in Over 40 Tissue TypesHIT Consultant - (Thursday February 6, 2025) - AI/ Digital Health/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – Paige, a provider of AI-powered pathology solutions, today announced a significant expansion of Paige PanCancer Detect, its groundbreaking cancer detection tool. – Originally launched in 2024 with the ability to identify... 🚀 Exciting advancements in cancer detection! Paige has expanded its AI-powered PanCancer Detect tool to identify cancer across over 40 tissue types, up from 17. This leap is driven by the cutting-edge Virchow V2 model, trained on a massive dataset of 3 million digitized slides. Key benefits include enhanced efficiency, improved accuracy, and reduced resource constraints in pathology labs. With proven performance and broader accessibility through various platforms, this innovation is set to revolutionize cancer diagnostics.#HealthcareIT #Pathology #AIinHealthcare #CancerDetection #DigitalHealth #MedicalInnovation #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-Ay4WV2lEwdZBDIXT0a5ZB0MNlgExs", "object": "chat.completion", "created": 1738880431, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting advancements in cancer detection! Paige has expanded its AI-powered PanCancer Detect tool to identify cancer across over 40 tissue types, up from 17. This leap is driven by the cutting-edge Virchow V2 model, trained on a massive dataset of 3 million digitized slides. Key benefits include enhanced efficiency, improved accuracy, and reduced resource constraints in pathology labs. With proven performance and broader accessibility through various platforms, this innovation is set to revolutionize cancer diagnostics. nn#HealthcareIT #Pathology #AIinHealthcare #CancerDetection #DigitalHealth #MedicalInnovation #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 644, "completion_tokens": 123, "total_tokens": 767, "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 - 644 |
NEMS Selects Commure Ambient AI for Enterprise-Wide DeploymentHIT Consultant - (Thursday February 6, 2025) - AI/ Frequent Updates/ HIT Consultant | |
![]() | What You Should Know: – Commure, a healthcare technology company, today announced that North East Medical Services (NEMS) has selected Commure Ambient AI for enterprise-wide deployment across its network of clinics. – The implementation follows a... Exciting news in healthcare IT! North East Medical Services (NEMS) has chosen Commure Ambient AI for enterprise-wide deployment after a successful pilot. This AI-powered scribe solution outperformed competitors in multilingual accuracy, documentation efficiency, and provider satisfaction. NEMS prioritized a seamless integration with their Epic EHR, and Commure delivered with a 30% improvement in documentation efficiency, saving clinicians valuable time. With flexible workflows and future AI applications on the horizon, this partnership promises to enhance clinical documentation and streamline processes.#HealthcareIT #AIinHealthcare #HealthTech #EHR #DigitalHealth #ClinicalDocumentation #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-Ay4W57CWIqVvT0Wao4nvdcyxzAo1R", "object": "chat.completion", "created": 1738880405, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare IT! North East Medical Services (NEMS) has chosen Commure Ambient AI for enterprise-wide deployment after a successful pilot. This AI-powered scribe solution outperformed competitors in multilingual accuracy, documentation efficiency, and provider satisfaction. NEMS prioritized a seamless integration with their Epic EHR, and Commure delivered with a 30% improvement in documentation efficiency, saving clinicians valuable time. With flexible workflows and future AI applications on the horizon, this partnership promises to enhance clinical documentation and streamline processes. nn#HealthcareIT #AIinHealthcare #HealthTech #EHR #DigitalHealth #ClinicalDocumentation #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 502, "completion_tokens": 126, "total_tokens": 628, "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 - 502 |
Reversing Healthcare’s Financial Crisis: A Look into Patient Access SolutionsHIT Consultant - (Thursday February 6, 2025) - Frequent Updates/ HIT Consultant | |
![]() | Meredith Kirchner, COO and Client Success Leader, Curae The healthcare industry is caught in the crosshairs of historical inflation, driving up the costs of medical equipment, essential medications and treatments, and out-of-pocket costs. The combination... The financial crisis in healthcare is impacting millions, with 41% of working-age Americans burdened by medical debt. This crisis leads to patients delaying or forgoing care, worsening health outcomes and straining healthcare providers. To address these challenges, healthcare organizations must adopt innovative, patient-centric financial solutions inspired by retail strategies. By enhancing patient access through flexible financing options, optimizing insurance benefits, and leveraging charitable resources, we can create a more equitable healthcare ecosystem. Embracing these strategies not only empowers patients but also strengthens the financial sustainability of healthcare providers.#HealthcareIT #PatientAccess #MedicalDebt #HealthcareInnovation #HealthEquity #PatientEngagement #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-Ay2dztPoB4XDKFS6tHyh5DInRPk38", "object": "chat.completion", "created": 1738873207, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The financial crisis in healthcare is impacting millions, with 41% of working-age Americans burdened by medical debt. This crisis leads to patients delaying or forgoing care, worsening health outcomes and straining healthcare providers. To address these challenges, healthcare organizations must adopt innovative, patient-centric financial solutions inspired by retail strategies. By enhancing patient access through flexible financing options, optimizing insurance benefits, and leveraging charitable resources, we can create a more equitable healthcare ecosystem. Embracing these strategies not only empowers patients but also strengthens the financial sustainability of healthcare providers. nn#HealthcareIT #PatientAccess #MedicalDebt #HealthcareInnovation #HealthEquity #PatientEngagement #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1454, "completion_tokens": 134, "total_tokens": 1588, "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 - 1454 |
Using Automation to Streamline Healthcare Practice Workflows and Maximize Staff Effectiveness – MedCity NewsMedCity News - (Thursday February 6, 2025) - Frequent Updates/ MedCity News | |
![]() | Healthcare organizations have to balance the need to support data collection with staff workloads. More healthcare practices are working with health tech vendors to digitize their workflows and moving away from paper-based forms and... In today's fast-paced healthcare environment, balancing data collection with staff workload is crucial. Many practices are turning to health tech vendors to automate labor-intensive tasks, moving away from outdated paper systems. A recent webinar highlighted how automation can enhance data collection, improve time management, and boost productivity. By streamlining workflows, healthcare professionals can focus on complex tasks, reducing burnout and enhancing patient experiences. Join the conversation about maximizing efficiency and patient retention through innovative technology solutions.#HealthcareIT #Automation #HealthTech #PracticeManagement #PatientCare #DataCollection #WorkforceEfficiency 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-AxxxycRamRenVU3GlVlCcip8fhhPC", "object": "chat.completion", "created": 1738855226, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In today's fast-paced healthcare environment, balancing data collection with staff workload is crucial. Many practices are turning to health tech vendors to automate labor-intensive tasks, moving away from outdated paper systems. A recent webinar highlighted how automation can enhance data collection, improve time management, and boost productivity. By streamlining workflows, healthcare professionals can focus on complex tasks, reducing burnout and enhancing patient experiences. Join the conversation about maximizing efficiency and patient retention through innovative technology solutions. nn#HealthcareIT #Automation #HealthTech #PracticeManagement #PatientCare #DataCollection #WorkforceEfficiency", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 344, "completion_tokens": 113, "total_tokens": 457, "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 - 344 |
Real world federated learning with a knowledge distilled transformer for cardiac CT imagingnpj Digital Medicine - (Thursday February 6, 2025) - Frequent Updates/ npj Digital Medicine | |
![]() | Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. However, real-world applications often face challenges like partially labeled datasets, where only a few locations have certain expert annotations, leaving large... Unlocking the potential of federated learning in cardiac CT imaging, our study presents a groundbreaking two-step semi-supervised strategy that distills knowledge from CNNs into transformers. By leveraging unlabeled data across eight hospitals, we enhance predictive accuracy and generalizability, outperforming traditional UNet models. This research addresses the challenges of partially labeled datasets and sets a new standard for collaborative medical imaging analysis. Open-source code and model weights will be available, promoting further advancements in the field.#HealthcareIT #FederatedLearning #MedicalImaging #AIinHealthcare #Cardiology #DataScience #MachineLearning 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-AxxLXhcc52yQbe3dHqInmCj6qPJaP", "object": "chat.completion", "created": 1738852843, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Unlocking the potential of federated learning in cardiac CT imaging, our study presents a groundbreaking two-step semi-supervised strategy that distills knowledge from CNNs into transformers. By leveraging unlabeled data across eight hospitals, we enhance predictive accuracy and generalizability, outperforming traditional UNet models. This research addresses the challenges of partially labeled datasets and sets a new standard for collaborative medical imaging analysis. Open-source code and model weights will be available, promoting further advancements in the field. nn#HealthcareIT #FederatedLearning #MedicalImaging #AIinHealthcare #Cardiology #DataScience #MachineLearning", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 36001, "completion_tokens": 122, "total_tokens": 36123, "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 - 36001 |
Predicting appropriateness of antibiotic treatment among ICU patients with hospital-acquired infectionnpj Digital Medicine - (Thursday February 6, 2025) - AI/ Frequent Updates/ npj Digital Medicine | |
![]() | Antimicrobial resistance is a rising global health threat, leading to ineffective treatments, increased mortality and rising healthcare costs. In ICUs, inappropriate empiric antibiotic therapy is often given due to treatment urgency, causing poor outcomes.... In the fight against antimicrobial resistance, predicting the appropriateness of antibiotic treatment in ICU patients is crucial. A recent study developed a machine learning model utilizing MIMIC-III data to assess empiric antibiotic therapy for ICU-acquired bloodstream infections. The model achieved an AUROC of 77.3% and identified significant mortality risk differences, with 30% in high-risk patients versus 16.8% in low-risk. This innovative approach demonstrates the potential of AI in enhancing patient outcomes by enabling timely adjustments to antibiotic therapy, ultimately contributing to better antibiotic stewardship.#HealthcareIT #MachineLearning #AntibioticStewardship #ICU #PatientSafety #DigitalHealth #ArtificialIntelligence 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-AxxLAVXLhc0JfW6tX7qJ5ONRF1yKa", "object": "chat.completion", "created": 1738852820, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the fight against antimicrobial resistance, predicting the appropriateness of antibiotic treatment in ICU patients is crucial. A recent study developed a machine learning model utilizing MIMIC-III data to assess empiric antibiotic therapy for ICU-acquired bloodstream infections. The model achieved an AUROC of 77.3% and identified significant mortality risk differences, with 30% in high-risk patients versus 16.8% in low-risk. This innovative approach demonstrates the potential of AI in enhancing patient outcomes by enabling timely adjustments to antibiotic therapy, ultimately contributing to better antibiotic stewardship. nn#HealthcareIT #MachineLearning #AntibioticStewardship #ICU #PatientSafety #DigitalHealth #ArtificialIntelligence", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 33481, "completion_tokens": 140, "total_tokens": 33621, "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 - 33481 |