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HFMA25: FinThrive Launches New AI Platforms to Stop Revenue Leakage

HIT Consultant - (Monday June 23, 2025) - AI/ Frequent Updates/ HIT Consultant

What You Should Know: – FinThrive, a healthcare revenue management SaaS provider, today announced the launch of FinThrive Fusion™, the first dynamic intelligence platform purpose-built on a modernized data fabric to power the future of...

🚀 Exciting advancements in healthcare revenue management! FinThrive has launched FinThrive Fusion, a dynamic intelligence platform designed to tackle revenue leakage head-on. The new Denials and Underpayments Analyzer provides health systems with critical insights into denial trends and underpayments, which can cost hospitals billions annually. By unifying fragmented data into a single interface, this innovative solution empowers organizations to maximize revenue and mitigate risks effectively. As John Yount, Chief Innovation Officer, states, it’s not just another dashboard—it’s a game-changer for RCM.#HealthcareIT #RevenueCycleManagement #AIinHealthcare #FinThrive #HealthTech #Innovation #DataAnalytics

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BligGOyALm0kv7ywFlO9Mq9SJtYvM", "object": "chat.completion", "created": 1750712868, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting advancements in healthcare revenue management! FinThrive has launched FinThrive Fusion, a dynamic intelligence platform designed to tackle revenue leakage head-on. The new Denials and Underpayments Analyzer provides health systems with critical insights into denial trends and underpayments, which can cost hospitals billions annually. By unifying fragmented data into a single interface, this innovative solution empowers organizations to maximize revenue and mitigate risks effectively. As John Yount, Chief Innovation Officer, states, it’s not just another dashboard—it’s a game-changer for RCM. nn#HealthcareIT #RevenueCycleManagement #AIinHealthcare #FinThrive #HealthTech #Innovation #DataAnalytics", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 662, "completion_tokens": 134, "total_tokens": 796, "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_34a54ae93c" }

Prompt Tokens - 662
Completion Tokens - 134
Total Tokens - 796

 

The Longevity Code: How AI Gait Analysis Is Rewriting the Future of Aging

HIT Consultant - (Monday June 23, 2025) - Digital Health/ Frequent Updates/ HIT Consultant

Patrick Tarnowski, PT, MBA, Chief Commercial Officer, OneStepAmericans are living longer lives than ever before, but are we living better? The data is sobering: while life expectancy continues to rise, healthspan, or the number...

As we celebrate longer lifespans, the gap between lifespan and healthspan is alarming, with many Americans facing years of chronic illness. Gait analysis, often overlooked in healthcare, could be a game-changer. By harnessing AI, we can assess gait in real-world settings, transforming it into a vital sign that signals health issues like Parkinson’s or fall risks long before symptoms arise. It’s time to shift our mindset and recognize gait as a crucial health indicator. Let’s embrace technology to enhance our healthspan and empower aging adults to maintain their independence. #HealthcareIT #AI #GaitAnalysis #AgingWell #DigitalHealth #Healthspan #ChronicIllness

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Blje1hMGhRmxAPJTc0hQH6JijBVl5", "object": "chat.completion", "created": 1750716573, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "As we celebrate longer lifespans, the gap between lifespan and healthspan is alarming, with many Americans facing years of chronic illness. Gait analysis, often overlooked in healthcare, could be a game-changer. By harnessing AI, we can assess gait in real-world settings, transforming it into a vital sign that signals health issues like Parkinson’s or fall risks long before symptoms arise. It’s time to shift our mindset and recognize gait as a crucial health indicator. Let’s embrace technology to enhance our healthspan and empower aging adults to maintain their independence. #HealthcareIT #AI #GaitAnalysis #AgingWell #DigitalHealth #Healthspan #ChronicIllness", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1086, "completion_tokens": 136, "total_tokens": 1222, "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_34a54ae93c" }

Prompt Tokens - 1086
Completion Tokens - 136
Total Tokens - 1222

 

Knowtion Health Acquires Switch RCM to Enhance AI-Powered Revenue Recovery Solutions

HIT Consultant - (Monday June 23, 2025) - AI/ Frequent Updates/ HIT Consultant

What You Should Know: – Knowtion Health, a healthcare revenue cycle company, has acquired Switch RCM, a data- and technology-first company that uncovers and resolves overlooked reimbursement opportunities through intelligent automation and data-driven innovation.The financial...

🚀 Exciting news in healthcare IT! Knowtion Health has acquired Switch RCM, enhancing AI-powered revenue recovery solutions. This strategic move addresses the challenges of increasing payer complexity and shrinking margins, aiming to streamline reimbursement processes for health systems. With over $10B collected for clients, Knowtion is set to leverage Switch RCM’s innovative automation and analytics to deliver deeper insights and faster payments. The launch of an innovation lab will further drive new solutions for providers. Together, they’re redefining revenue recovery in healthcare!#HealthcareIT #RevenueCycleManagement #AI #Innovation #HealthcareSolutions #DataDriven #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Bljcalt3mMfUqG1Xzu8fruGh9nIgu", "object": "chat.completion", "created": 1750716484, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting news in healthcare IT! Knowtion Health has acquired Switch RCM, enhancing AI-powered revenue recovery solutions. This strategic move addresses the challenges of increasing payer complexity and shrinking margins, aiming to streamline reimbursement processes for health systems. With over $10B collected for clients, Knowtion is set to leverage Switch RCM’s innovative automation and analytics to deliver deeper insights and faster payments. The launch of an innovation lab will further drive new solutions for providers. Together, they’re redefining revenue recovery in healthcare! nn#HealthcareIT #RevenueCycleManagement #AI #Innovation #HealthcareSolutions #DataDriven #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 548, "completion_tokens": 125, "total_tokens": 673, "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_34a54ae93c" }

Prompt Tokens - 548
Completion Tokens - 125
Total Tokens - 673

 

Patients Know Best launches nationwide GP data integration

Digital Health - (Monday June 23, 2025) - Digital Health/ Frequent Updates

Patients Know Best (PKB) has launched GP data integration across England within its single patient record platform.  The service, accessible via NHS login, allows adult patients to store a copy of data their GP has...

🚀 Exciting news in healthcare IT! Patients Know Best (PKB) has launched nationwide GP data integration across England, allowing over 900,000 patients to store their GP records in a single platform. This integration enhances patient control over health information, improves care coordination, and minimizes medical errors. With enriched data using SNOMED CT codes, PKB is paving the way for automated, personalized patient support. This initiative not only addresses information gaps in the NHS but also empowers patients to share their health records globally. A significant step towards a more connected healthcare future! #HealthIT #PatientEngagement #DataIntegration #NHS #DigitalHealth #HealthTech #CareCoordination

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Blbl6FiGNC1uUHM1kFBn9dfhtrmna", "object": "chat.completion", "created": 1750686260, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "🚀 Exciting news in healthcare IT! Patients Know Best (PKB) has launched nationwide GP data integration across England, allowing over 900,000 patients to store their GP records in a single platform. This integration enhances patient control over health information, improves care coordination, and minimizes medical errors. With enriched data using SNOMED CT codes, PKB is paving the way for automated, personalized patient support. This initiative not only addresses information gaps in the NHS but also empowers patients to share their health records globally. A significant step towards a more connected healthcare future! #HealthIT #PatientEngagement #DataIntegration #NHS #DigitalHealth #HealthTech #CareCoordination", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 606, "completion_tokens": 137, "total_tokens": 743, "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_34a54ae93c" }

Prompt Tokens - 606
Completion Tokens - 137
Total Tokens - 743

 

Researchers call for stronger regulation of period tracking apps

Digital Health - (Monday June 23, 2025) - AI/ Digital Health/ Frequent Updates

Period tracking apps may compromise users’ privacy and reproductive autonomy, researchers have warned. A paper from Rotterdam School of Management, Erasmus University, published in the journal Contraception flags ethical concerns in the algorithms used...

Period tracking apps raise significant privacy concerns, as highlighted by researchers from Erasmus University. Their study reveals that users face data breaches and biased health information, often without informed consent. Algorithms may misrepresent diverse menstrual experiences, leading to harmful health decisions. The University of Cambridge emphasizes that personal health data can be exploited, risking users' safety beyond reproductive health. To foster trust, experts advocate for public bodies to develop secure tracking apps and enforce stricter regulations. As we innovate in FemTech, prioritizing ethical data practices is essential for safeguarding user autonomy. #HealthIT #FemTech #DataPrivacy #ReproductiveHealth #DigitalHealth #HealthInnovation #EthicalAI

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BlZO0gAKNiUvOxTDzg3b5m5UrUL5t", "object": "chat.completion", "created": 1750677140, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Period tracking apps raise significant privacy concerns, as highlighted by researchers from Erasmus University. Their study reveals that users face data breaches and biased health information, often without informed consent. Algorithms may misrepresent diverse menstrual experiences, leading to harmful health decisions. The University of Cambridge emphasizes that personal health data can be exploited, risking users' safety beyond reproductive health. To foster trust, experts advocate for public bodies to develop secure tracking apps and enforce stricter regulations. As we innovate in FemTech, prioritizing ethical data practices is essential for safeguarding user autonomy. #HealthIT #FemTech #DataPrivacy #ReproductiveHealth #DigitalHealth #HealthInnovation #EthicalAI", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 734, "completion_tokens": 131, "total_tokens": 865, "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_34a54ae93c" }

Prompt Tokens - 734
Completion Tokens - 131
Total Tokens - 865

 

Multiscale modeling of drug-induced liver injury from organ to lobule

npj Digital Medicine - (Monday June 23, 2025) - Frequent Updates/ npj Digital Medicine

Drug-induced liver injury poses significant challenges in drug development and in clinical care. This study builds on prior work developing a Human Liver Virtual Twin by creating a Multiscale Computational Fluid Dynamics framework that...

Exciting advancements in healthcare IT! A recent study introduces a groundbreaking multiscale computational model to predict drug-induced liver injury (DILI) using patient-specific data. This innovative framework integrates hemodynamic simulations at various scales, enhancing our understanding of liver dynamics and improving drug safety assessments. By bridging organ-level and cellular processes, the model offers a promising tool for personalized medicine, potentially reducing reliance on animal testing in drug development. This research could revolutionize therapeutic strategies for DILI and other hepatic pathologies.#HealthcareIT #DigitalHealth #ComputationalModeling #LiverInjury #PersonalizedMedicine #DrugDevelopment #PharmaTech

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BlX4nZ2Pr47VT4Vpd9DBICtjcYC0N", "object": "chat.completion", "created": 1750668261, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in healthcare IT! A recent study introduces a groundbreaking multiscale computational model to predict drug-induced liver injury (DILI) using patient-specific data. This innovative framework integrates hemodynamic simulations at various scales, enhancing our understanding of liver dynamics and improving drug safety assessments. By bridging organ-level and cellular processes, the model offers a promising tool for personalized medicine, potentially reducing reliance on animal testing in drug development. This research could revolutionize therapeutic strategies for DILI and other hepatic pathologies. nn#HealthcareIT #DigitalHealth #ComputationalModeling #LiverInjury #PersonalizedMedicine #DrugDevelopment #PharmaTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28895, "completion_tokens": 129, "total_tokens": 29024, "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_34a54ae93c" }

Prompt Tokens - 28895
Completion Tokens - 129
Total Tokens - 29024

 

Sherwood Forest selects Nervecentre as preferred EPR supplier

Digital Health - (Monday June 23, 2025) - Digital Health/ Frequent Updates

Sherwood Forest Hospitals NHS Foundation Trust has selected Nervecentre as its preferred supplier to implement an electronic patient record (EPR). The announcement is the next step of the plan to introduce EPRs at Sherwood Forest...

Sherwood Forest Hospitals NHS Foundation Trust has chosen Nervecentre as its preferred supplier for implementing an electronic patient record (EPR) system. This pivotal decision marks a significant step towards achieving a unified, connected record over the next two years, enhancing patient care and staff support. Acting CEO David Selwyn emphasized the EPR as a catalyst for cultural change within the hospital. With plans for partial implementation in urgent care by autumn 2025, this partnership aims to foster collaboration across NHS trusts in the East Midlands, paving the way for a more integrated healthcare system. #HealthcareIT #DigitalHealth #EPR #NHS #PatientCare #HealthTech #Collaboration

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BlWx2JTo5IWAdqptO8meuFZ8JCAXq", "object": "chat.completion", "created": 1750667780, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Sherwood Forest Hospitals NHS Foundation Trust has chosen Nervecentre as its preferred supplier for implementing an electronic patient record (EPR) system. This pivotal decision marks a significant step towards achieving a unified, connected record over the next two years, enhancing patient care and staff support. Acting CEO David Selwyn emphasized the EPR as a catalyst for cultural change within the hospital. With plans for partial implementation in urgent care by autumn 2025, this partnership aims to foster collaboration across NHS trusts in the East Midlands, paving the way for a more integrated healthcare system. #HealthcareIT #DigitalHealth #EPR #NHS #PatientCare #HealthTech #Collaboration", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 685, "completion_tokens": 133, "total_tokens": 818, "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_34a54ae93c" }

Prompt Tokens - 685
Completion Tokens - 133
Total Tokens - 818

 

Monday Morning Update 6/23/25

HIStalk - (Sunday June 22, 2025) - AI/ Daily Reads/ HIStalk

Top NewsMajor US health insurers pledge to improve prior authorization practices. They aim for 80% real-time decisions by 2027, fewer procedures that require approval, and 90-day care continuity for patients who switch plans. Insurer...

Major US health insurers are committing to enhance prior authorization practices, aiming for 80% real-time decisions by 2027 and improved care continuity for patients switching plans. The insurer trade group AHIP acknowledges patient frustrations but cites provider submission methods as a key delay factor. Meanwhile, AI's role in healthcare is under scrutiny, with concerns about job displacement in various roles. Notable acquisitions are reshaping the landscape, including Ascension's $3.9 billion purchase of Amsurg. As innovation accelerates, healthcare IT professionals must stay informed and adaptable.#HealthcareIT #DigitalHealth #Innovation #AIinHealthcare #HealthTech #PriorAuthorization #PatientCare

As a healthcare IT expert, write a 100-word extractive summarization based on a blog post from the given text for posting on LinkedIn. The summary should capture key ideas from the entire post and its headings while staying focused, clear, and engaging. Use 5-7 relevant and popular online hashtags that are most likely to drive visibility and engagement. Avoid adding URLs or calls to action, and ensure the language is optimized for LinkedIn engagement style with a variable potential hook or attention-grabbing statement. The target audience is other healthcare IT professionals. Following is the title and text.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-BlJ1mU28SC6pzZATs3KH7MI3gMBbS", "object": "chat.completion", "created": 1750614258, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Major US health insurers are committing to enhance prior authorization practices, aiming for 80% real-time decisions by 2027 and improved care continuity for patients switching plans. The insurer trade group AHIP acknowledges patient frustrations but cites provider submission methods as a key delay factor. Meanwhile, AI's role in healthcare is under scrutiny, with concerns about job displacement in various roles. Notable acquisitions are reshaping the landscape, including Ascension's $3.9 billion purchase of Amsurg. As innovation accelerates, healthcare IT professionals must stay informed and adaptable. nn#HealthcareIT #DigitalHealth #Innovation #AIinHealthcare #HealthTech #PriorAuthorization #PatientCare", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1262, "completion_tokens": 133, "total_tokens": 1395, "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_34a54ae93c" }

Prompt Tokens - 1262
Completion Tokens - 133
Total Tokens - 1395

 

A multimodal visual–language foundation model for computational ophthalmology

npj Digital Medicine - (Saturday June 21, 2025) - AI/ Frequent Updates/ npj Digital Medicine

Early detection of eye diseases is vital for preventing vision loss. Existing ophthalmic artificial intelligence models focus on single modalities, overlooking multi-view information and struggling with rare diseases due to long-tail distributions. We propose...

Introducing EyeCLIP, a groundbreaking multimodal visual-language foundation model designed for computational ophthalmology. Trained on 2.77 million ophthalmic images across 11 modalities, EyeCLIP excels in disease classification, visual question answering, and cross-modal retrieval. Its innovative training strategy integrates self-supervised learning and multimodal alignment, enhancing its performance in real-world scenarios, particularly for rare diseases. EyeCLIP demonstrates remarkable few-shot and zero-shot capabilities, making it a powerful tool for early detection of ocular and systemic diseases. This model not only bridges gaps in clinical applications but also sets a new standard for AI in healthcare.#Ophthalmology #AIinHealthcare #MachineLearning #DigitalHealth #MedicalImaging #DataScience #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-Bkj0XwBU4J6ybyPB1QrK2YBNdrH2W", "object": "chat.completion", "created": 1750475797, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Introducing EyeCLIP, a groundbreaking multimodal visual-language foundation model designed for computational ophthalmology. Trained on 2.77 million ophthalmic images across 11 modalities, EyeCLIP excels in disease classification, visual question answering, and cross-modal retrieval. Its innovative training strategy integrates self-supervised learning and multimodal alignment, enhancing its performance in real-world scenarios, particularly for rare diseases. EyeCLIP demonstrates remarkable few-shot and zero-shot capabilities, making it a powerful tool for early detection of ocular and systemic diseases. This model not only bridges gaps in clinical applications but also sets a new standard for AI in healthcare. nn#Ophthalmology #AIinHealthcare #MachineLearning #DigitalHealth #MedicalImaging #DataScience #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29924, "completion_tokens": 151, "total_tokens": 30075, "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_34a54ae93c" }

Prompt Tokens - 29924
Completion Tokens - 151
Total Tokens - 30075

 

Mobile Health Intervention Tools Promoting HIV Pre-Exposure Prophylaxis Among Adolescent Girls and Young Women in Sub-Saharan Africa: Scoping Review

JMIR mHealth and uHealth - (Friday June 20, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: In 2022, 3100 adolescent girls and young women in sub-Saharan Africa experienced new HIV infections each week. HIV pre-exposure prophylaxis (PrEP) is effective at preventing HIV but has limited uptake and persistence. Mobile...

Mobile health (mHealth) interventions hold promise for enhancing HIV pre-exposure prophylaxis (PrEP) adherence among adolescent girls and young women in sub-Saharan Africa, where 3,100 new infections occur weekly. A recent scoping review identified 31 studies utilizing various mHealth tools, primarily SMS text messages, yet findings on effectiveness remain mixed. While high usability and acceptability were reported, rigorous evaluations are scarce. This highlights the need for innovative mHealth strategies tailored to local contexts to improve health outcomes. The potential for mHealth in this critical area is vast, warranting further exploration and investment. #HealthcareIT #mHealth #HIVPrevention #PrEP #DigitalHealth #AdolescentHealth #SubSaharanAfrica

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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

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I am an experienced healthcare executive with over 15 years of deep clinical and informatics expertise in the design, development, implementation and support of complex healthcare solutions. Beginning my career as a cardiologist, I understand the needs of clinicians and the nature of their work.