ChatGPT Summaries

Digital Health Award winners 2025 presented their awards by Lauren Hoodless, head of Digital Health Networks, and Karl Grundy, managing director at Digital Health (Credit: Luke Farmer)The winners of the 2025 Digital Health...

Celebrating innovation in healthcare, the 2025 Digital Health Awards recognized outstanding leaders driving transformation in IT. Key winners included Penny Kechagioglou as CCIO of the Year for her impactful digital initiatives, Amy Freeman as CIO of the Year for her pioneering AI programs, and Misbah Mahmood as CNIO of the Year for her leadership in midwifery digital strategies. Kaye Reynolds earned CSO of the Year for enhancing clinical safety, while Tom Micklewright was honored as Rising Star for his advancements in primary care. These leaders exemplify dedication to improving patient care through technology. #DigitalHealth #HealthIT #Innovation #Leadership #HealthcareTransformation #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

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Prompt Tokens - 1274
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Total Tokens - 1414

What You Should Know: – myTomorrows, a global health technology company connecting patients and physicians with pre-approval treatments, published a new data report, “Searching for solutions: How physicians navigate trial access and technology.” – Based on...

Navigating clinical trials presents significant challenges for physicians, with 61% struggling to identify relevant studies and 72% finding the search process overly time-consuming. A recent report by myTomorrows highlights the urgent need for streamlined, AI-powered solutions to improve trial access and patient recruitment. Key issues include insufficient support tools, a fragmented referral process, and complex eligibility criteria that hinder equitable access. As AI adoption grows, 72% of physicians advocate for integrated technologies to simplify trial matching. Addressing these hurdles is crucial for bridging the gap between medical innovation and patient care. #HealthcareIT #ClinicalTrials #AIinHealthcare #PatientAccess #HealthTech #Innovation #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-BuZQTkjVNUN4L4Flsp7IylV3Wxb9m", "object": "chat.completion", "created": 1752822245, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Navigating clinical trials presents significant challenges for physicians, with 61% struggling to identify relevant studies and 72% finding the search process overly time-consuming. A recent report by myTomorrows highlights the urgent need for streamlined, AI-powered solutions to improve trial access and patient recruitment. Key issues include insufficient support tools, a fragmented referral process, and complex eligibility criteria that hinder equitable access. As AI adoption grows, 72% of physicians advocate for integrated technologies to simplify trial matching. Addressing these hurdles is crucial for bridging the gap between medical innovation and patient care. #HealthcareIT #ClinicalTrials #AIinHealthcare #PatientAccess #HealthTech #Innovation #DigitalHealth", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 848, "completion_tokens": 135, "total_tokens": 983, "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": null }

Prompt Tokens - 848
Completion Tokens - 135
Total Tokens - 983

What You Should Know: – Ensemble, a revenue cycle managed services partner for healthcare organizations, announced that Methodist Le Bonheur Healthcare (MLH) has selected it as its strategic revenue cycle management (RCM) partner. – Ensemble will...

Exciting news in healthcare IT! Methodist Le Bonheur Healthcare has chosen Ensemble as its strategic revenue cycle management (RCM) partner, marking a significant shift in operational excellence. Ensemble will oversee end-to-end RCM across MLH's six hospitals, leveraging advanced technology and deep expertise to enhance patient experiences. This partnership emphasizes innovation and collaboration, empowering MLH to focus on clinical excellence while Ensemble manages $42B in annual net patient revenue. A transformative era in RCM is upon us!#HealthcareIT #RevenueCycleManagement #PatientExperience #Innovation #HealthTech #HealthcarePartnerships #OperationalExcellence

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 - 453
Completion Tokens - 123
Total Tokens - 576

Artificial intelligence (AI) is already having a significant impact on healthcare. For example, AI-guided imaging can improve the diagnosis/treatment of vascular diseases, which affect over 200 million people globally. Recently, Chiu and colleagues (2024)...

Artificial intelligence (AI) is revolutionizing healthcare, particularly in vascular disease management. A recent study highlights an AI tool that empowers nurses to diagnose abdominal aortic aneurysms (AAA) with accuracy comparable to trained physicians. However, the path to successful commercialization is fraught with challenges, including funding, regulatory compliance, and integration into clinical practice. Key strategies for overcoming these hurdles include assembling multidisciplinary teams, securing private investment, and establishing reimbursement pathways. As the landscape for medical AI evolves, focusing on these commercialization strategies is essential for translating innovation into impactful clinical applications. #HealthcareIT #MedicalAI #DigitalHealth #VascularHealth #HealthTech #Innovation #AIinHealthcare

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

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Prompt Tokens - 19616
Completion Tokens - 134
Total Tokens - 19750

Large Language Models (LLMs) are increasingly used to support cancer patients and clinicians in decision-making. This systematic review investigates how LLMs are integrated into oncology and evaluated by researchers. We conducted a comprehensive search...

Large Language Models (LLMs) are revolutionizing cancer decision-making, as highlighted in a systematic review analyzing 56 studies across 15 cancer types. The findings reveal that while LLMs excel in summarizing and communicating clinical information, their overall accuracy stands at 76.2%, with diagnostic accuracy lower at 67.4%. This underscores the technology's current limitations and the need for standardized evaluations. The review emphasizes the importance of integrating human oversight and diverse datasets to enhance the reliability of LLMs in oncology. As we navigate this evolving landscape, addressing biases and ensuring ethical use remains paramount. #HealthcareIT #AIinHealthcare #CancerCare #DecisionSupport #DigitalHealth #MachineLearning #PatientSafety

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 - 30147
Completion Tokens - 142
Total Tokens - 30289

Chronic obstructive pulmonary disease (COPD) leads to high rates of emergency department (ED) visits and hospitalizations. This study evaluated a community-based digital health intervention’s association with acute care utilization among patients with moderate to...

🚀 Exciting advancements in COPD management! A recent study evaluated a digital and mobile intervention aimed at improving outcomes for patients with moderate to severe COPD. The "Healthy at Home" model, integrating biometric monitoring, symptom tracking, and on-demand care, showed promising results, significantly reducing hospitalization rates and 30-day readmissions. This innovative approach highlights the potential of hybrid care models in enhancing patient outcomes and accessibility. As we continue to explore digital health solutions, the future of COPD care looks brighter! 🌟#DigitalHealth #COPD #HealthcareInnovation #Telemedicine #PatientCare #HealthTech #ChronicDiseaseManagement

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 - 25425
Completion Tokens - 125
Total Tokens - 25550

Top NewsA Senate investigation finds that direct-to-consumer telehealth platforms that are operated by drug companies steer patients toward their own drugs. Up to 85% of those patients receive a prescription from hand-picked telehealth providers,...

A recent Senate investigation reveals that direct-to-consumer telehealth platforms operated by pharmaceutical companies are steering patients toward specific medications, likening the experience to an "Amazon shopping experience." Alarmingly, up to 85% of patients receive prescriptions from providers who may not even conduct video visits or access medical records, relying solely on patient questionnaires. The financial incentives for telehealth companies, ranging from $510,000 to $2.45 million, raise ethical concerns without violating anti-kickback laws. As healthcare IT professionals, we must scrutinize these practices to ensure patient safety and integrity in telehealth. #Telehealth #HealthcareIT #Pharma #PatientSafety #DigitalHealth #EHR #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-BuQORDC9hhUuCugRyFe2fmwInwOk5", "object": "chat.completion", "created": 1752787523, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "A recent Senate investigation reveals that direct-to-consumer telehealth platforms operated by pharmaceutical companies are steering patients toward specific medications, likening the experience to an "Amazon shopping experience." Alarmingly, up to 85% of patients receive prescriptions from providers who may not even conduct video visits or access medical records, relying solely on patient questionnaires. The financial incentives for telehealth companies, ranging from $510,000 to $2.45 million, raise ethical concerns without violating anti-kickback laws. As healthcare IT professionals, we must scrutinize these practices to ensure patient safety and integrity in telehealth. #Telehealth #HealthcareIT #Pharma #PatientSafety #DigitalHealth #EHR #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 1371, "completion_tokens": 141, "total_tokens": 1512, "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": null }

Prompt Tokens - 1371
Completion Tokens - 141
Total Tokens - 1512

Background: Depression and diabetes are highly co-morbid and are major causes of global disabilities, particularly among individuals with low income or from racial/ethnic minority backgrounds. While digital interventions offer promise for managing these chronic...

The DIAMANTE trial reveals intriguing insights into the role of adaptive mHealth interventions in enhancing patient-provider communication among individuals with diabetes and depression. Despite the growing integration of digital health tools, our secondary analysis found no significant changes in patient-reported communication, highlighting the need for further exploration of these interventions' effects. As healthcare IT continues to evolve, understanding the nuances of patient-provider relationships in digital contexts is crucial, especially for underserved communities. This study underscores the importance of evaluating not just clinical outcomes but also the patient experience in digital health initiatives.#DigitalHealth #mHealth #PatientEngagement #HealthcareIT #ChronicCare #Telehealth #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

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Prompt Tokens - 761
Completion Tokens - 133
Total Tokens - 894

Internationally, health systems are investing in Artificial Intelligence (AI) to improve safety, quality, and efficiency, yet many efforts remain localised and do not progress beyond early development stages. In 2019, National Health Service (NHS)...

The evaluation of the NHS AI Lab reveals critical insights into AI integration in healthcare. Launched in 2019, the Lab aimed to enhance AI adoption, yet faced challenges like shifting objectives and systemic misalignment. Despite its contributions to policy and capability building, the Lab's progress was hindered by limited capacity and a lack of alignment with service needs. Key lessons emphasize the importance of addressing socio-organizational factors and fostering sustained coordination for successful AI deployment. This initiative positions the UK as a leader in health AI, but highlights the need for ongoing evaluation and adaptation.#HealthcareIT #AIinHealthcare #DigitalHealth #HealthInnovation #NHS #ArtificialIntelligence #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-BuPDd6PJWBd5lSf1uJZBgYnCUqE1G", "object": "chat.completion", "created": 1752783009, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The evaluation of the NHS AI Lab reveals critical insights into AI integration in healthcare. Launched in 2019, the Lab aimed to enhance AI adoption, yet faced challenges like shifting objectives and systemic misalignment. Despite its contributions to policy and capability building, the Lab's progress was hindered by limited capacity and a lack of alignment with service needs. Key lessons emphasize the importance of addressing socio-organizational factors and fostering sustained coordination for successful AI deployment. This initiative positions the UK as a leader in health AI, but highlights the need for ongoing evaluation and adaptation.nn#HealthcareIT #AIinHealthcare #DigitalHealth #HealthInnovation #NHS #ArtificialIntelligence #HealthTech", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 35218, "completion_tokens": 136, "total_tokens": 35354, "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": null }

Prompt Tokens - 35218
Completion Tokens - 136
Total Tokens - 35354

Real-world data (RWD) from electronic health records and digital health databases present unique opportunities to study causal effects in healthcare. While Difference-in-Differences (DiD) analysis is widely used for such analyses, it can be biased...

Exciting advancements in causal inference methodologies are here! The recent study introduces a negative control-calibrated difference-in-difference (NC-DiD) approach, addressing unmeasured confounding in real-world data (RWD). This innovative method enhances the reliability of causal insights, particularly in assessing racial/ethnic disparities in post-COVID-19 health outcomes. By leveraging negative control outcomes, NC-DiD effectively mitigates bias and improves estimation accuracy, paving the way for evidence-based clinical decision-making. This framework is vital for understanding complex health disparities and optimizing patient outcomes.#HealthIT #DataScience #CausalInference #HealthEquity #DigitalHealth #RWD #ClinicalResearch

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-BuPCduz2Jx9T9FYPeh2xj2c0QH4tZ", "object": "chat.completion", "created": 1752782947, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "Exciting advancements in causal inference methodologies are here! The recent study introduces a negative control-calibrated difference-in-difference (NC-DiD) approach, addressing unmeasured confounding in real-world data (RWD). This innovative method enhances the reliability of causal insights, particularly in assessing racial/ethnic disparities in post-COVID-19 health outcomes. By leveraging negative control outcomes, NC-DiD effectively mitigates bias and improves estimation accuracy, paving the way for evidence-based clinical decision-making. This framework is vital for understanding complex health disparities and optimizing patient outcomes. nn#HealthIT #DataScience #CausalInference #HealthEquity #DigitalHealth #RWD #ClinicalResearch", "refusal": null, "annotations": [] }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 28038, "completion_tokens": 140, "total_tokens": 28178, "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": null }

Prompt Tokens - 28038
Completion Tokens - 140
Total Tokens - 28178