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DigitalHealth.London Spotlight: Megi Health – DigitalHealth.London

DigitalHealth.London - (Friday February 14, 2025) - Daily Reads/ DigitalHealth.London

February is Heart Month, a campaign by the British Heart Foundation that highlights the importance of learning CPR and monitoring heart health. To mark the campaign, we shine the DigitalHealth.London spotlight on Accelerator and...

Megi Health is revolutionizing hypertension care by enabling earlier detection and continuous monitoring through a user-friendly solution integrated with WhatsApp. With 8 million people in the UK living with undiagnosed high blood pressure, Megi's approach not only simplifies patient engagement but also significantly improves outcomes—users experience an average blood pressure reduction of 10 mmHg. Supported by the DigitalHealth.London Accelerator, Megi aims to expand its reach and enhance AI capabilities for personalized treatment. This innovative solution is a vital step toward reducing the healthcare burden of heart disease.#DigitalHealth #Hypertension #HealthTech #PatientEngagement #AIinHealthcare #NHS #HealthcareInnovation

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

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Prompt Tokens - 1632
Completion Tokens - 135
Total Tokens - 1767

 

Movers and Shakers roundup

Digital Health - (Friday February 14, 2025) - Digital Health/ Frequent Updates

Our latest Movers and Shakers roundup includes the appointment of a new health minister and a new chief executive at Mid Yorkshire Teaching NHS Trust.Ashley Dalton has been appointed as health minister following the...

Exciting changes are underway in healthcare leadership! Ashley Dalton steps in as health minister, while Philip Kenney departs Portsmouth Hospitals NHS Trust. Dame Cally Palmer is returning to The Royal Marsden Foundation Trust after her tenure as NHS England's national cancer director. New appointments include Kelly Hudson as CEO of Lilli, and Tracey Robertson as managing director of Cegedim Rx. Additionally, Sam Neville joins the Highland Marketing advisory board, bringing her extensive nursing and digital expertise. These shifts highlight the dynamic evolution of healthcare IT and leadership.#HealthcareLeadership #HealthTech #DigitalHealth #NHS #Innovation #HealthcareIT #CommunityHealth

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-B0nWlYb6WJTviWPrJmWx1wTDWIEWA", "object": "chat.completion", "created": 1739530083, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting changes are underway in healthcare leadership! Ashley Dalton steps in as health minister, while Philip Kenney departs Portsmouth Hospitals NHS Trust. Dame Cally Palmer is returning to The Royal Marsden Foundation Trust after her tenure as NHS England's national cancer director. New appointments include Kelly Hudson as CEO of Lilli, and Tracey Robertson as managing director of Cegedim Rx. Additionally, Sam Neville joins the Highland Marketing advisory board, bringing her extensive nursing and digital expertise. These shifts highlight the dynamic evolution of healthcare IT and leadership. nn#HealthcareLeadership #HealthTech #DigitalHealth #NHS #Innovation #HealthcareIT #CommunityHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 752, "completion_tokens": 130, "total_tokens": 882, "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 - 752
Completion Tokens - 130
Total Tokens - 882

 

Kauvery Hospital invests in AI RPM startup and more briefs

MobiHealthNews - (Friday February 14, 2025) - AI/ Frequent Updates/ MobiHealthNews

Kauvery Hospital invests in LifesignsLifesigns has received undisclosed funding from Kauvery Hospital Group's investment arm, Healthcare Capital.  The new funds, based on a press statement, will "advance Lifesigns’ AI and predictive algorithm capabilities." The company...

Kauvery Hospital's strategic investment in Lifesigns aims to enhance AI and predictive algorithms for remote patient monitoring, setting the stage for new product launches and expansion. Meanwhile, Seoul National University Bundang Hospital leads South Korea by prescribing the AI-driven Apnotrack app for diagnosing sleep apnoea, demonstrating comparable efficacy to traditional tests. Additionally, TriNetX’s joint venture with Fujitsu will revolutionize clinical research in Japan by providing secure access to vast medical datasets. These advancements highlight the transformative potential of AI in healthcare.#HealthcareIT #AIinHealthcare #RemotePatientMonitoring #DigitalHealth #HealthTech #ClinicalResearch #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-B0kybiklpbwc6N8otmErWlRXLOWFK", "object": "chat.completion", "created": 1739520277, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Kauvery Hospital's strategic investment in Lifesigns aims to enhance AI and predictive algorithms for remote patient monitoring, setting the stage for new product launches and expansion. Meanwhile, Seoul National University Bundang Hospital leads South Korea by prescribing the AI-driven Apnotrack app for diagnosing sleep apnoea, demonstrating comparable efficacy to traditional tests. Additionally, TriNetX’s joint venture with Fujitsu will revolutionize clinical research in Japan by providing secure access to vast medical datasets. These advancements highlight the transformative potential of AI in healthcare. nn#HealthcareIT #AIinHealthcare #RemotePatientMonitoring #DigitalHealth #HealthTech #ClinicalResearch #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 512, "completion_tokens": 129, "total_tokens": 641, "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 - 512
Completion Tokens - 129
Total Tokens - 641

 

Alexandra Hospital develops AI for robotic knee surgery

MobiHealthNews - (Friday February 14, 2025) - AI/ Frequent Updates/ MobiHealthNews

A novel AI developed at Alexandra Hospital automates implant positioning in robotic total knee replacement surgery. A team at Alexandra Hospital's Department of Orthopaedic Surgery recently obtained the World Intellectual Property Organization patent for their...

Exciting advancements in orthopaedic surgery! Alexandra Hospital has developed a groundbreaking AI algorithm that automates implant positioning for robotic total knee replacement (TKR), enhancing accuracy and efficiency. This innovation, patented by Dr. Glen Liau Zi Qiang, has already benefited over 150 patients, achieving optimal gap balancing in under 0.1 seconds—compared to 15 minutes with manual planning. With robotic TKR becoming a preferred choice for knee pain relief, this AI technology promises to reduce surgery time, minimize complications, and improve long-term outcomes. The future of surgery is here! #HealthcareIT #RoboticSurgery #AIinHealthcare #Orthopaedics #KneeReplacement #SurgicalInnovation #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-B0kyBL7Cr7byXYDpGkwMrm2AwtObp", "object": "chat.completion", "created": 1739520251, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in orthopaedic surgery! Alexandra Hospital has developed a groundbreaking AI algorithm that automates implant positioning for robotic total knee replacement (TKR), enhancing accuracy and efficiency. This innovation, patented by Dr. Glen Liau Zi Qiang, has already benefited over 150 patients, achieving optimal gap balancing in under 0.1 seconds—compared to 15 minutes with manual planning. With robotic TKR becoming a preferred choice for knee pain relief, this AI technology promises to reduce surgery time, minimize complications, and improve long-term outcomes. The future of surgery is here! #HealthcareIT #RoboticSurgery #AIinHealthcare #Orthopaedics #KneeReplacement #SurgicalInnovation #PatientOutcomes", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 719, "completion_tokens": 147, "total_tokens": 866, "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 - 719
Completion Tokens - 147
Total Tokens - 866

 

Personalized decision making for coronary artery disease treatment using offline reinforcement learning

npj Digital Medicine - (Friday February 14, 2025) - Frequent Updates/ npj Digital Medicine

Choosing optimal revascularization strategies for patients with obstructive coronary artery disease (CAD) remains a clinical challenge. While randomized controlled trials offer population-level insights, gaps remain regarding personalized decision-making for individual patients. We applied off-policy...

Revolutionizing coronary artery disease treatment, our research harnesses offline reinforcement learning (RL) to optimize personalized decision-making. Analyzing data from over 41,000 patients, we found that RL-guided therapy outperformed traditional physician-based strategies, achieving up to a 32% improvement in expected cardiovascular outcomes. By integrating clinical practice models, our RL4CAD tool offers interpretable, patient-specific recommendations, enhancing care quality in invasive coronary angiography settings. This study underscores the transformative potential of machine learning in healthcare, paving the way for more effective, personalized treatment pathways in cardiovascular medicine.#HealthcareIT #MachineLearning #Cardiology #ReinforcementLearning #PersonalizedMedicine #DataScience #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-B0jiellxiWzHoYYF8X4EHnkrcrnKU", "object": "chat.completion", "created": 1739515444, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Revolutionizing coronary artery disease treatment, our research harnesses offline reinforcement learning (RL) to optimize personalized decision-making. Analyzing data from over 41,000 patients, we found that RL-guided therapy outperformed traditional physician-based strategies, achieving up to a 32% improvement in expected cardiovascular outcomes. By integrating clinical practice models, our RL4CAD tool offers interpretable, patient-specific recommendations, enhancing care quality in invasive coronary angiography settings. This study underscores the transformative potential of machine learning in healthcare, paving the way for more effective, personalized treatment pathways in cardiovascular medicine. nn#HealthcareIT #MachineLearning #Cardiology #ReinforcementLearning #PersonalizedMedicine #DataScience #DigitalHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29337, "completion_tokens": 144, "total_tokens": 29481, "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_bd83329f63" }

Prompt Tokens - 29337
Completion Tokens - 144
Total Tokens - 29481

 

Nearly Half of Healthcare Organizations Suffered a Third-Party Security Incident in Past Year

HIT Consultant - (Friday February 14, 2025) - Frequent Updates/ HIT Consultant

What You Should Know: – Imprivata, a digital identity company, today released a new global research report conducted in collaboration with the Ponemon Institute. The report, titled “The State of Third-Party Access in Cybersecurity,” reveals...

In the past year, nearly 50% of healthcare organizations faced third-party security incidents, underscoring a critical vulnerability in our industry. Imprivata's recent report reveals that 64% of IT professionals anticipate an increase in third-party breaches, with remote access becoming a primary attack vector. Key recommendations include enhancing visibility into vendor activities, enforcing strict access controls, and conducting regular security assessments. As Joel Burleson-Davis from Imprivata emphasizes, complacency is no longer an option; robust third-party risk management strategies are essential to safeguard sensitive data.#HealthcareIT #Cybersecurity #DataBreach #ThirdPartyRisk #RiskManagement #ITSecurity #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-B0k21m2c1q6ixYh3CBLG8ntJDOHRq", "object": "chat.completion", "created": 1739516645, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the past year, nearly 50% of healthcare organizations faced third-party security incidents, underscoring a critical vulnerability in our industry. Imprivata's recent report reveals that 64% of IT professionals anticipate an increase in third-party breaches, with remote access becoming a primary attack vector. Key recommendations include enhancing visibility into vendor activities, enforcing strict access controls, and conducting regular security assessments. As Joel Burleson-Davis from Imprivata emphasizes, complacency is no longer an option; robust third-party risk management strategies are essential to safeguard sensitive data. nn#HealthcareIT #Cybersecurity #DataBreach #ThirdPartyRisk #RiskManagement #ITSecurity #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 699, "completion_tokens": 138, "total_tokens": 837, "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 - 699
Completion Tokens - 138
Total Tokens - 837

 

5 Key Trends Shaping the Future of Rehabilitative Care

HIT Consultant - (Friday February 14, 2025) - Digital Health/ Frequent Updates/ HIT Consultant

Jessica Wulke, PT, Clinical Implementation Manager at Academy Medtech VenturesPhysical therapy (PT) and rehabilitation care are areas of healthcare delivery prime for the adoption of technology solutions that can augment the reach of clinicians,...

The future of rehabilitative care is being reshaped by innovative technology trends that enhance patient outcomes and clinician efficiency. Key developments include bridging the mind-body divide through neurocognitive training, expanding home-based care via AI and remote monitoring, and utilizing AI to empower physical therapists rather than replace them. Additionally, remote therapeutic monitoring is gaining traction, improving access for underserved populations, while objective testing technologies are streamlining insurance reimbursement processes. These advancements promise a more holistic, efficient, and patient-centered approach to rehabilitation.#HealthcareIT #Rehabilitation #PhysicalTherapy #AIinHealthcare #Telehealth #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-B0j5wyoKSh2CT7HWeQdZlN0QYEA16", "object": "chat.completion", "created": 1739513044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The future of rehabilitative care is being reshaped by innovative technology trends that enhance patient outcomes and clinician efficiency. Key developments include bridging the mind-body divide through neurocognitive training, expanding home-based care via AI and remote monitoring, and utilizing AI to empower physical therapists rather than replace them. Additionally, remote therapeutic monitoring is gaining traction, improving access for underserved populations, while objective testing technologies are streamlining insurance reimbursement processes. These advancements promise a more holistic, efficient, and patient-centered approach to rehabilitation. nn#HealthcareIT #Rehabilitation #PhysicalTherapy #AIinHealthcare #Telehealth #PatientCare #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1861, "completion_tokens": 125, "total_tokens": 1986, "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_bd83329f63" }

Prompt Tokens - 1861
Completion Tokens - 125
Total Tokens - 1986

 

IT breach risk ‘very real’ amid job cuts at Te Whatu Ora: union

Healthcare IT news - (Friday February 14, 2025) - Frequent Updates/ Healthcare IT News

Te Whatu Ora is being taken to the Employment Relations Authority amid its plan to remove a number of positions across the organisation, including many data and digital jobs. New Zealand's largest trade union Public Service...

The recent job cuts at Te Whatu Ora raise serious concerns about IT security and patient safety. The Public Service Association (PSA) has filed a complaint with the Employment Relations Authority, arguing that the dismissal of around 1,000 positions in critical IT roles could lead to significant risks, including cyber breaches. Acting CITO Darren Douglass emphasizes the commitment to patient privacy, yet the Digital Health Association warns that these cuts undermine the health system's stability. With an existing staffing gap and ongoing financial pressures, the urgency for robust IT support has never been clearer.#HealthcareIT #CyberSecurity #PatientSafety #DigitalHealth #HealthTech #ITJobs #HealthPolicy

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-B0hqX94Ul4DclOLgaetmQKsm8Ah9n", "object": "chat.completion", "created": 1739508245, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The recent job cuts at Te Whatu Ora raise serious concerns about IT security and patient safety. The Public Service Association (PSA) has filed a complaint with the Employment Relations Authority, arguing that the dismissal of around 1,000 positions in critical IT roles could lead to significant risks, including cyber breaches. Acting CITO Darren Douglass emphasizes the commitment to patient privacy, yet the Digital Health Association warns that these cuts undermine the health system's stability. With an existing staffing gap and ongoing financial pressures, the urgency for robust IT support has never been clearer. nn#HealthcareIT #CyberSecurity #PatientSafety #DigitalHealth #HealthTech #ITJobs #HealthPolicy", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 863, "completion_tokens": 135, "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 - 863
Completion Tokens - 135
Total Tokens - 998

 

Leveraging large language models for academic conference organization

npj Digital Medicine - (Friday February 14, 2025) - AI/ Frequent Updates/ npj Digital Medicine

We piloted using Large Language Models (LLMs) for organizing AMIA 2024 Informatics Summit. LLMs were prompt engineered to develop algorithms for reviewer assignments, group presentations into sessions, suggest session titles, and provide one-sentence summaries...

Harnessing the power of Large Language Models (LLMs) for organizing the AMIA 2024 Informatics Summit has proven transformative. By utilizing LLMs for reviewer assignments, thematic grouping of presentations, and generating concise summaries, we significantly reduced planning time while enhancing coherence and efficiency. This innovative approach demonstrates the potential of generative AI to complement human expertise, streamlining academic conference management and improving attendee engagement. Our experience underscores the importance of integrating AI in healthcare settings to foster collaboration and enhance the scholarly community.#HealthTech #AIinHealthcare #ConferenceManagement #DigitalMedicine #GenerativeAI #AcademicConferences #HealthcareInnovation

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

{ "id": "chatcmpl-B13hSEiohvEC1fAzFc20GDNX3XMLA", "object": "chat.completion", "created": 1739592250, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Harnessing the power of Large Language Models (LLMs) for organizing the AMIA 2024 Informatics Summit has proven transformative. By utilizing LLMs for reviewer assignments, thematic grouping of presentations, and generating concise summaries, we significantly reduced planning time while enhancing coherence and efficiency. This innovative approach demonstrates the potential of generative AI to complement human expertise, streamlining academic conference management and improving attendee engagement. Our experience underscores the importance of integrating AI in healthcare settings to foster collaboration and enhance the scholarly community. nn#HealthTech #AIinHealthcare #ConferenceManagement #DigitalMedicine #GenerativeAI #AcademicConferences #HealthcareInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 19032, "completion_tokens": 128, "total_tokens": 19160, "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_00428b782a" }

Prompt Tokens - 19032
Completion Tokens - 128
Total Tokens - 19160

 

Improving musculoskeletal care with AI enhanced triage through data driven screening of referral letters

npj Digital Medicine - (Friday February 14, 2025) - AI/ Frequent Updates/ npj Digital Medicine

Musculoskeletal complaints account for 30% of GP consultations, with many referred to rheumatology clinics via letters. This study developed a Machine Learning (ML) pipeline to prioritize referrals by identifying rheumatoid arthritis (RA), osteoarthritis, fibromyalgia,...

AI is revolutionizing musculoskeletal care by enhancing triage through data-driven screening of referral letters. A recent study developed a robust machine learning pipeline that identifies conditions like rheumatoid arthritis, osteoarthritis, and fibromyalgia from 8044 referral letters across 12 clinics. The models demonstrated impressive accuracy, with an AUC-ROC of 0.78 for RA and 0.81 for fibromyalgia, outperforming traditional manual systems. This innovative approach not only streamlines referrals but also ensures timely care for patients, ultimately improving healthcare outcomes.#HealthTech #AIinHealthcare #MachineLearning #MusculoskeletalCare #DigitalHealth #DataDriven #HealthcareInnovation

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

{ "id": "chatcmpl-B0hDs7V4DR0BMMFVpSw5NngpZprs1", "object": "chat.completion", "created": 1739505848, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI is revolutionizing musculoskeletal care by enhancing triage through data-driven screening of referral letters. A recent study developed a robust machine learning pipeline that identifies conditions like rheumatoid arthritis, osteoarthritis, and fibromyalgia from 8044 referral letters across 12 clinics. The models demonstrated impressive accuracy, with an AUC-ROC of 0.78 for RA and 0.81 for fibromyalgia, outperforming traditional manual systems. This innovative approach not only streamlines referrals but also ensures timely care for patients, ultimately improving healthcare outcomes. nn#HealthTech #AIinHealthcare #MachineLearning #MusculoskeletalCare #DigitalHealth #DataDriven #HealthcareInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11934, "completion_tokens": 132, "total_tokens": 12066, "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 - 11934
Completion Tokens - 132
Total Tokens - 12066

 

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.