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Precision in Practice: RapidAI’s Unique Approach to Clinical AI

Healthcare IT Today - (Friday January 24, 2025) - Healthcare IT Today/ Videos

RapidAI is improving clinical workflows by creating AI tools designed with radiologists and clinicians in mind.In this interview with Healthcare IT Today, Amit Phadnis, Chief Innovation & Technology Officer at RapidAI, shares the company’s...

In the evolving landscape of healthcare, RapidAI is redefining clinical workflows with its innovative AI tools tailored for radiologists and clinicians. In an insightful interview, Amit Phadnis, Chief Innovation & Technology Officer, highlights the company’s commitment to developing AI solutions that alleviate administrative burdens and enhance decision-making. By focusing on clinician-centric design, RapidAI ensures its technology integrates seamlessly into existing workflows, paving the way for a more efficient future in radiology. Explore how Deep Clinical AI is transforming the diagnostic process and setting new standards in healthcare technology.#HealthcareIT #ClinicalAI #Radiology #HealthTech #Innovation #AIinHealthcare #DigitalHealth

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

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Prompt Tokens - 297
Completion Tokens - 131
Total Tokens - 428

 

AI bias evaluation efforts are uneven across U.S. hospitals

Healthcare IT news - (Friday January 24, 2025) - Frequent Updates/ Healthcare IT News

While around two-thirds of U.S. hospitals are using AI-assisted predictive models, just 44% of hospitals evaluate these models for bias, raising concerns about equity in patient care.These were the results of a recent study...

AI adoption in U.S. hospitals is on the rise, yet only 44% evaluate these models for bias, raising equity concerns in patient care. A recent University of Minnesota study highlights disparities, with resource-rich hospitals better positioned to assess AI tools. Assistant Professor Paige Nong emphasizes the need for tailored AI solutions for under-resourced facilities, advocating for local evaluations and critical consumption of available models. She encourages collaboration among healthcare professionals to bridge the digital divide and improve AI oversight. Addressing bias in AI outputs is crucial for ethical decision-making in patient care.#HealthIT #AIinHealthcare #PatientEquity #HealthcareInnovation #DigitalHealth #BiasInAI #HealthEquity

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-AtFpMlCG6iD7txjOeoPXXOGAtNL6O", "object": "chat.completion", "created": 1737732244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "AI adoption in U.S. hospitals is on the rise, yet only 44% evaluate these models for bias, raising equity concerns in patient care. A recent University of Minnesota study highlights disparities, with resource-rich hospitals better positioned to assess AI tools. Assistant Professor Paige Nong emphasizes the need for tailored AI solutions for under-resourced facilities, advocating for local evaluations and critical consumption of available models. She encourages collaboration among healthcare professionals to bridge the digital divide and improve AI oversight. Addressing bias in AI outputs is crucial for ethical decision-making in patient care. nn#HealthIT #AIinHealthcare #PatientEquity #HealthcareInnovation #DigitalHealth #BiasInAI #HealthEquity", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 750, "completion_tokens": 137, "total_tokens": 887, "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 - 750
Completion Tokens - 137
Total Tokens - 887

 

HIMSSCast: AI assurance labs and improving quality

Healthcare IT news - (Friday January 24, 2025) - AI/ Frequent Updates/ Healthcare IT News

The idea behind artificial intelligence insurance labs – where large language models and other AI technologies can be simulated and tested – is that they can improve the efficacy and fairness of predictive analytics,...

In the latest HIMSSCast, Brigham Hyde discusses the critical role of AI assurance labs in enhancing healthcare AI's efficacy and fairness. These labs aim to establish trust and transparency in predictive analytics and decision support tools, aligning with health IT certification regulations. Hyde emphasizes the need for standardized testing to facilitate the implementation of advanced disease prediction models and the importance of partnerships in evaluating machine learning algorithms. As we navigate the evolving landscape of healthcare AI, balancing innovation with safety and equity remains paramount.#HealthcareAI #AITechnology #HealthIT #MachineLearning #Innovation #PatientSafety #HealthEquity

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-AtIKBOS4llsVgg7Gp2rc9TtIQ6Cn1", "object": "chat.completion", "created": 1737741843, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In the latest HIMSSCast, Brigham Hyde discusses the critical role of AI assurance labs in enhancing healthcare AI's efficacy and fairness. These labs aim to establish trust and transparency in predictive analytics and decision support tools, aligning with health IT certification regulations. Hyde emphasizes the need for standardized testing to facilitate the implementation of advanced disease prediction models and the importance of partnerships in evaluating machine learning algorithms. As we navigate the evolving landscape of healthcare AI, balancing innovation with safety and equity remains paramount. nn#HealthcareAI #AITechnology #HealthIT #MachineLearning #Innovation #PatientSafety #HealthEquity", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 641, "completion_tokens": 122, "total_tokens": 763, "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 - 641
Completion Tokens - 122
Total Tokens - 763

 

mHealth-Based Diabetes Prevention Program for Chinese Mothers With Abdominal Obesity: Randomized Controlled Trial

JMIR mHealth and uHealth - (Friday January 24, 2025) - Frequent Updates/ JMIR mHealth and uHealth

Background: Among people with abdominal obesity, women are more likely to develop diabetes than men. Mobile health (mHealth)–based technologies provide the flexibility and resource-saving opportunities to improve lifestyles in an individualized way. However, mHealth-based...

Exciting advancements in mHealth technology are paving the way for tailored diabetes prevention programs! A recent study evaluated an mHealth-based intervention for Chinese mothers with abdominal obesity, revealing significant improvements in waist circumference, diabetes risk scores, and self-efficacy for physical activity. With an impressive 85% follow-up completion rate and high satisfaction scores, this program demonstrates the potential of personalized, web-based health strategies. As we continue to innovate in healthcare IT, let’s focus on creating flexible solutions that cater to the unique needs of busy populations.#mHealth #DiabetesPrevention #HealthcareIT #DigitalHealth #WomenHealth #ChronicDiseaseManagement #InnovationInHealth

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-AtGSR40zqDrJCzNeEnwavJGW5wB1H", "object": "chat.completion", "created": 1737734667, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in mHealth technology are paving the way for tailored diabetes prevention programs! A recent study evaluated an mHealth-based intervention for Chinese mothers with abdominal obesity, revealing significant improvements in waist circumference, diabetes risk scores, and self-efficacy for physical activity. With an impressive 85% follow-up completion rate and high satisfaction scores, this program demonstrates the potential of personalized, web-based health strategies. As we continue to innovate in healthcare IT, let’s focus on creating flexible solutions that cater to the unique needs of busy populations. nn#mHealth #DiabetesPrevention #HealthcareIT #DigitalHealth #WomenHealth #ChronicDiseaseManagement #InnovationInHealth", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 865, "completion_tokens": 135, "total_tokens": 1000, "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 - 865
Completion Tokens - 135
Total Tokens - 1000

 

Machine learning based quantitative pain assessment for the perioperative period

npj Digital Medicine - (Friday January 24, 2025) - AI/ Frequent Updates/ npj Digital Medicine

This study developed and evaluated a model for assessing pain during the surgical period using photoplethysmogram data from 242 patients. Pain levels were measured at 2 min intervals using a numerical rating scale or clinical...

Exciting advancements in perioperative care! A recent study developed a machine learning model using photoplethysmogram data to assess pain levels during surgery. The model, which outperformed traditional indices, achieved impressive AUROC scores of 0.819 for intraoperative and 0.927 for postoperative pain assessment. Key features like waveform skewness and systolic phase area were pivotal in enhancing pain detection accuracy. This innovative approach could revolutionize pain management strategies in surgical settings, ensuring better patient outcomes.#HealthcareIT #MachineLearning #PainManagement #DigitalHealth #Surgery #AIinHealthcare #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-AtFCeRnoxdFFmsGGI4zarYNaz3WDx", "object": "chat.completion", "created": 1737729844, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in perioperative care! A recent study developed a machine learning model using photoplethysmogram data to assess pain levels during surgery. The model, which outperformed traditional indices, achieved impressive AUROC scores of 0.819 for intraoperative and 0.927 for postoperative pain assessment. Key features like waveform skewness and systolic phase area were pivotal in enhancing pain detection accuracy. This innovative approach could revolutionize pain management strategies in surgical settings, ensuring better patient outcomes. nn#HealthcareIT #MachineLearning #PainManagement #DigitalHealth #Surgery #AIinHealthcare #PatientCare", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 26172, "completion_tokens": 123, "total_tokens": 26295, "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 - 26172
Completion Tokens - 123
Total Tokens - 26295

 

SurgeOn social networking app for doctors launches in the UK

Digital Health - (Friday January 24, 2025) - Digital Health/ Frequent Updates

A US social networking platform for healthcare professionals has launched in the UK and is now available in the NHS. SurgeOn allows doctors worldwide  to discuss medical techniques, share how to perform new procedures and more. The...

Exciting news in healthcare IT! The SurgeOn social networking app has officially launched in the UK, providing a secure platform for doctors to connect, share techniques, and access video tutorials. With over 17,000 US physicians already on board, SurgeOn promotes an open environment for collaboration, especially for junior surgeons seeking guidance. The app's stringent verification process ensures professionalism and trust within the community. Additionally, the upcoming SurgeOn Academy will enhance learning opportunities with webinars on diverse medical topics. This innovative approach is transforming surgical collaboration and education.#HealthcareIT #DigitalHealth #MedicalEducation #Surgery #Telemedicine #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AtGS5Cnw0eEWEtn7hslbrDZeE0XEv", "object": "chat.completion", "created": 1737734645, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting news in healthcare IT! The SurgeOn social networking app has officially launched in the UK, providing a secure platform for doctors to connect, share techniques, and access video tutorials. With over 17,000 US physicians already on board, SurgeOn promotes an open environment for collaboration, especially for junior surgeons seeking guidance. The app's stringent verification process ensures professionalism and trust within the community. Additionally, the upcoming SurgeOn Academy will enhance learning opportunities with webinars on diverse medical topics. This innovative approach is transforming surgical collaboration and education. nn#HealthcareIT #DigitalHealth #MedicalEducation #Surgery #Telemedicine #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 573, "completion_tokens": 129, "total_tokens": 702, "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 - 573
Completion Tokens - 129
Total Tokens - 702

 

Streamlining VA Claims Processing: Guide for Healthcare Providers

HIT Consultant - (Friday January 24, 2025) - Frequent Updates/ HIT Consultant

Zachary Schultz, CSMC, CRCR, Sr. Director of Product Policy and Solutions at EnableCompHealthcare providers navigating Veterans Administration (VA) claims face complex eligibility requirements, multiple payer systems, and stringent documentation demands. These challenges create significant...

Navigating the complexities of VA claims processing is crucial for healthcare providers aiming to enhance access to care for veterans. With unique eligibility requirements and multiple payer systems, efficient claims management is essential. By leveraging automation and integrating advanced solutions with existing EHR systems, providers can streamline workflows, ensuring accuracy in submissions and improving cash flow. This not only benefits healthcare facilities but also makes VA benefits more accessible to veterans. As technology evolves, the potential for enhanced efficiency and visibility in military healthcare is promising.#HealthcareIT #VABenefits #ClaimsProcessing #VeteranCare #Automation #EHRIntegration #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-AtDxE3atvHDkDHFlM0mnsp9rzfDS8", "object": "chat.completion", "created": 1737725044, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Navigating the complexities of VA claims processing is crucial for healthcare providers aiming to enhance access to care for veterans. With unique eligibility requirements and multiple payer systems, efficient claims management is essential. By leveraging automation and integrating advanced solutions with existing EHR systems, providers can streamline workflows, ensuring accuracy in submissions and improving cash flow. This not only benefits healthcare facilities but also makes VA benefits more accessible to veterans. As technology evolves, the potential for enhanced efficiency and visibility in military healthcare is promising. nn#HealthcareIT #VABenefits #ClaimsProcessing #VeteranCare #Automation #EHRIntegration #HealthcareInnovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1178, "completion_tokens": 123, "total_tokens": 1301, "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 - 1178
Completion Tokens - 123
Total Tokens - 1301

 

V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies

npj Digital Medicine - (Friday January 24, 2025) - Frequent Updates/ npj Digital Medicine

We propose the addition of usability validation to the extended V3 framework, now “V3+”, and describe a pragmatic approach to ensuring that sensor-based digital health technologies can be used optimally at scale by diverse...

The V3+ framework enhances the original V3 model by integrating usability validation, ensuring that sensor-based digital health technologies (sDHTs) are user-centric and scalable. This addition addresses the critical need for diverse user engagement and optimal usability in clinical settings. By emphasizing four key activities—use specification development, risk analysis, iterative formative evaluation, and summative evaluation—V3+ aims to create reliable and trustworthy digital health measures. This innovative approach fosters improved clinical decision-making and user satisfaction, paving the way for the future of digital health technologies.#DigitalHealth #HealthcareIT #Usability #ClinicalResearch #HealthTech #Innovation #PatientEngagement

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-AtCiA6DUIPOcQgJe6D1NlmzwNLFjw", "object": "chat.completion", "created": 1737720266, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The V3+ framework enhances the original V3 model by integrating usability validation, ensuring that sensor-based digital health technologies (sDHTs) are user-centric and scalable. This addition addresses the critical need for diverse user engagement and optimal usability in clinical settings. By emphasizing four key activities—use specification development, risk analysis, iterative formative evaluation, and summative evaluation—V3+ aims to create reliable and trustworthy digital health measures. This innovative approach fosters improved clinical decision-making and user satisfaction, paving the way for the future of digital health technologies. nn#DigitalHealth #HealthcareIT #Usability #ClinicalResearch #HealthTech #Innovation #PatientEngagement", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 29756, "completion_tokens": 133, "total_tokens": 29889, "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 - 29756
Completion Tokens - 133
Total Tokens - 29889

 

Association between exposure to particulate matter and heart rate variability in vulnerable and susceptible individuals

npj Digital Medicine - (Friday January 24, 2025) - Frequent Updates/ npj Digital Medicine

Particulate matter (PM) exposure can reduce heart rate variability (HRV), a cardiovascular health marker. This study examines PM1.0 (aerodynamic diameters <1 μm), PM2.5 (≥1 μm and <2.5 μm), and PM10 (≥2.5 μm and <10 μm) effects on HRV in...

Particulate matter (PM) exposure significantly impacts heart rate variability (HRV), a crucial indicator of cardiovascular health. This study highlights the correlation between PM1.0 exposure and reduced HRV in vulnerable populations, emphasizing the need for targeted interventions to mitigate environmental health risks. Understanding these associations is vital for healthcare IT professionals aiming to develop data-driven solutions that enhance patient outcomes and public health initiatives.#HealthcareIT #PublicHealth #CardiovascularHealth #DataDriven #EnvironmentalHealth #HeartRateVariability #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-AtCho3e8HoxEosHAmwpUPjeQuQqjV", "object": "chat.completion", "created": 1737720244, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Particulate matter (PM) exposure significantly impacts heart rate variability (HRV), a crucial indicator of cardiovascular health. This study highlights the correlation between PM1.0 exposure and reduced HRV in vulnerable populations, emphasizing the need for targeted interventions to mitigate environmental health risks. Understanding these associations is vital for healthcare IT professionals aiming to develop data-driven solutions that enhance patient outcomes and public health initiatives. nn#HealthcareIT #PublicHealth #CardiovascularHealth #DataDriven #EnvironmentalHealth #HeartRateVariability #HealthTech", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 11755, "completion_tokens": 106, "total_tokens": 11861, "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 - 11755
Completion Tokens - 106
Total Tokens - 11861

 

Service launched to manage NHS weight loss medication demand

Digital Health - (Friday January 24, 2025) - Digital Health/ Frequent Updates

A self-referral service has gone live across North East and North Cumbria Integrated Care System (ICS) to help NHS organisations manage growing demand for weight loss medications. The online system, provided by digital health company...

A new self-referral service has launched in the North East and North Cumbria Integrated Care System to manage the rising demand for NHS weight loss medications, particularly Tirzepatide. Developed by Inhealthcare, this online platform validates patients against the NHS Spine, ensuring only eligible individuals can register. With NICE estimating 3.4 million potential candidates, the service aims to streamline access amidst NHS constraints. Early adoption shows over 375 registrations, highlighting its potential for broader applications, including routine health checks and cancer screenings. This innovative solution positions healthcare providers to effectively manage patient demand and enhance care delivery. #HealthcareIT #DigitalHealth #NHS #WeightLoss #PatientCare #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.
Model - gpt-4o-mini
Role - user
Temperature - 0.4
Maximum Tokens - 200

{ "id": "chatcmpl-AtE186tuTu46lGmB9uSLLfu1YcDmL", "object": "chat.completion", "created": 1737725286, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A new self-referral service has launched in the North East and North Cumbria Integrated Care System to manage the rising demand for NHS weight loss medications, particularly Tirzepatide. Developed by Inhealthcare, this online platform validates patients against the NHS Spine, ensuring only eligible individuals can register. With NICE estimating 3.4 million potential candidates, the service aims to streamline access amidst NHS constraints. Early adoption shows over 375 registrations, highlighting its potential for broader applications, including routine health checks and cancer screenings. This innovative solution positions healthcare providers to effectively manage patient demand and enhance care delivery. #HealthcareIT #DigitalHealth #NHS #WeightLoss #PatientCare #HealthTech #Innovation", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 676, "completion_tokens": 140, "total_tokens": 816, "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 - 676
Completion Tokens - 140
Total Tokens - 816

 

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.