ChatGPT Summaries

Supports for adaptive functioning in individuals with neurodevelopmental conditions (NDCs) is of umost importance to long-term outcomes. Artificial intelligence (AI)-assistive technologies has enormous potential to offer efficient, cost-effective, and personalized solutions to address these...

AI technology is transforming support for individuals with neurodevelopmental conditions (NDCs), enhancing adaptive functioning in everyday environments. A systematic review of 15 studies reveals promising results, particularly in autism, where AI-assisted technologies improved social skills, daily living activities, and communication. Despite the potential, there's a pressing need for broader research addressing transdiagnostic needs and improving evidence quality. The findings underscore AI's role in personalized health support, emphasizing the importance of community engagement in developing these technologies. As we advance in this field, collaboration between researchers, clinicians, and users is essential for effective implementation.#HealthcareIT #AI #Neurodevelopment #Autism #DigitalHealth #AssistiveTechnology #ResearchInnovation

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 - 31253
Completion Tokens - 142
Total Tokens - 31395

Representatives from Dartford and Gravesham NHS Trust visit the assisted living suite at North Kent College's Dartford campus (Credit: North Kent College)Health and social care students and NHS employees will be trained on...

Exciting advancements in healthcare education are taking place at North Kent College! The newly opened assisted living suites are designed to train health and social care students on smart technology, including PARO therapeutic robots for dementia care. This initiative, backed by the local skills improvement fund, aims to upskill the workforce in digital competencies, enhancing their employability and ability to deliver compassionate care. As we embrace technology in healthcare, these suites will shape the future of care professionals, ensuring they meet evolving sector needs.#HealthcareIT #DigitalHealth #SmartTechnology #DementiaCare #FutureOfHealthcare #HealthTech #EducationInHealthcare

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 - 704
Completion Tokens - 124
Total Tokens - 828

Qualified clinical coders are vital to ensure clinical information and funding flows around the system correctly. But a national shortage of coders is having wide-ranging consequences, argues Marc Farr, chair of the Chief Data...

The urgent shortage of qualified clinical coders is creating significant financial uncertainty within the NHS, impacting funding and resource allocation for patient care. Accurate clinical coding is essential for effective data management, clinical research, and monitoring service quality. Geographic disparities further exacerbate this issue, particularly for trusts outside London. Chief Data and Analytical Officers (CDAOs) are pivotal in addressing these challenges, guiding the integration of data systems and the safe use of AI in healthcare. To foster innovation and improve patient outcomes, we must prioritize developing a robust pipeline of skilled clinical coders.#HealthcareIT #ClinicalCoding #DataAnalytics #NHS #HealthTech #AIinHealthcare #HealthData

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 - 1188
Completion Tokens - 135
Total Tokens - 1323

Are outdated journal systems holding us back? Embrace the future with openEHR-based initiatives! At Vitalis 2024, experts discussed the benefits of open standardized systems, diverse procurement strategies, and the collaborative openEHR-RFI across multiple regions. Notable insights included the coordination of an openEHR+FHIR-based care data platform by Karolinska University Hospital and the innovative approach from Catalonia, serving 8 million residents. Join the conversation on how we can transform healthcare IT for better patient outcomes!#HealthcareIT #openEHR #DigitalHealth #HealthTech #Interoperability #Innovation #HealthData

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 - 385
Completion Tokens - 127
Total Tokens - 512

Sheffield-based insomnia medtech firm SleepCogni has raised £300,000, bringing its total funding to £3.9m. The funding was raised in an Enterprise Investment Scheme pre-approved bridging round, supported by existing investors and grants. Richard Mills, chief executive...

Exciting developments in insomnia care! Sheffield-based SleepCogni has successfully raised £300,000, boosting its total funding to £3.9 million. CEO Richard Mills emphasizes the strength of their commercial team, which now includes industry veterans from Teva and Apple, enhancing their mission to revolutionize sleep health. With plans for a larger funding round in 2025, SleepCogni aims for CE and FCC approvals to expand into the global sleep tech market. Their innovative approach, including AI-driven personalization, promises to address critical global sleep challenges.#SleepHealth #MedTech #DigitalHealth #InsomniaCare #HealthcareInnovation #Startups #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 - 770
Completion Tokens - 134
Total Tokens - 904

Automated clinical coding (ACC) has emerged as a promising alternative to manual coding. This study proposes a novel human-in-the-loop (HITL) framework, CliniCoCo. Using deep learning capacities, CliniCoCo focuses on how such ACC systems and...

Unlocking the future of clinical coding, the CliniCoCo framework enhances human-AI collaboration by integrating clinical coder feedback at every stage of the automated coding process. This innovative approach reduces coding time by 40% while significantly improving accuracy, achieving F1 scores of 0.80-0.84. Through dynamic annotation strategies and customized decision-making tools, CliniCoCo not only optimizes efficiency but also ensures high-quality outcomes in real-world healthcare settings. As we embrace AI in clinical environments, frameworks like CliniCoCo pave the way for more effective and accurate coding practices.#HealthTech #AIinHealthcare #ClinicalCoding #HealthInformatics #DigitalHealth #MachineLearning #HealthData

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 - 32096
Completion Tokens - 144
Total Tokens - 32240

This study evaluated the impact of differing false positive (FP) rates in two computer-aided detection (CADe) systems on the clinical effectiveness of artificial intelligence (AI)-assisted colonoscopy. The primary outcomes were adenoma detection rate (ADR)...

In a recent study published in *npj Digital Medicine*, two computer-aided detection (CADe) systems with varying false positive (FP) rates were compared in colonoscopy. The results showed that the system with a lower FP rate (0.6%) significantly improved adenoma detection rates (ADR) and adenomas per colonoscopy (APC) compared to the higher FP rate system (3.2%). Notably, the lower FP system also minimized unnecessary polypectomies, highlighting the critical role of FP rates in the clinical effectiveness of AI-assisted colonoscopy. This research underscores the need for optimizing CADe systems to enhance patient outcomes. #HealthTech #AIinHealthcare #Colonoscopy #DigitalHealth #PatientSafety #MedicalResearch #Endoscopy

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-Ag6zpTi1x9xwaRNw3dEtWzBxwwzno", "object": "chat.completion", "created": 1734600033, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "In a recent study published in *npj Digital Medicine*, two computer-aided detection (CADe) systems with varying false positive (FP) rates were compared in colonoscopy. The results showed that the system with a lower FP rate (0.6%) significantly improved adenoma detection rates (ADR) and adenomas per colonoscopy (APC) compared to the higher FP rate system (3.2%). Notably, the lower FP system also minimized unnecessary polypectomies, highlighting the critical role of FP rates in the clinical effectiveness of AI-assisted colonoscopy. This research underscores the need for optimizing CADe systems to enhance patient outcomes. #HealthTech #AIinHealthcare #Colonoscopy #DigitalHealth #PatientSafety #MedicalResearch #Endoscopy", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 25483, "completion_tokens": 154, "total_tokens": 25637, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" }

Prompt Tokens - 25483
Completion Tokens - 154
Total Tokens - 25637

Large Language Models (LLMs) have shown promise in clinical applications through prompt engineering, allowing flexible clinical predictions. However, they struggle to produce reliable prediction probabilities, which are crucial for transparency and decision-making. While explicit...

Large Language Models (LLMs) show promise in healthcare, yet struggle with reliable probabilistic predictions essential for clinical decision-making. A recent study reveals that explicit probabilities generated by LLMs often underperform compared to implicit probabilities derived from token likelihoods. This discrepancy is particularly notable in smaller models and imbalanced datasets, emphasizing the need for improved probability estimation methods. As LLMs are increasingly integrated into clinical settings, understanding their probabilistic outputs is crucial for ensuring patient safety and effective treatment. This research paves the way for refining LLM applications in healthcare. #HealthcareIT #AIinHealthcare #MachineLearning #DigitalHealth #ClinicalAI #HealthTech #DataScience

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 - 23448
Completion Tokens - 135
Total Tokens - 23583

Moorfields Eye Hospital NHS Foundation Trust has announced that it will implement MEDITECH’s Expanse electronic patient record (EPR) in its 20 locations around London. The programme, which is expected to go live in spring 2026,...

Moorfields Eye Hospital NHS Foundation Trust is set to implement MEDITECH’s Expanse electronic patient record (EPR) across its 20 London locations by spring 2026. This integration will combine the existing OpenEyes system with Expanse, creating a unified EPR that enhances real-time access to patient data across departments. COO John Spencer emphasizes the focus on optimizing patient care and improving clinician decision-making. MEDITECH UK’s Charlotte Scott highlights the transformative potential of Expanse for healthcare organizations. This initiative marks a significant step towards digitizing ophthalmology services and improving organizational efficiency.#HealthcareIT #DigitalHealth #EHR #PatientCare #HealthTech #Innovation #NHS

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 - 710
Completion Tokens - 142
Total Tokens - 852

Analyzing the future of medicine and healthcare, especially during the rise of digital health and artificial intelligence, should rely on established futures methods that the discipline of futures studies has been using for decades....

The rise of medical futures studies reveals untapped potential in healthcare, emphasizing the need for systematic approaches to navigate complexities. By employing established futures methods, healthcare professionals can anticipate challenges and shape proactive strategies. This emerging discipline focuses on integrating foresight techniques into medical curricula and policy-making, particularly in the realms of digital health and AI. As technology evolves rapidly, futures studies can transform uncertainty into actionable insights, ensuring healthcare systems remain adaptive and resilient.#HealthcareInnovation #DigitalHealth #FuturesStudies #AIinHealthcare #HealthTech #MedicalFuturism #PolicyDevelopment

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-Ag4UVX5QoTfjtiHILFj11xpjfKhuB", "object": "chat.completion", "created": 1734590403, "model": "gpt-4o-mini-2024-07-18", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "The rise of medical futures studies reveals untapped potential in healthcare, emphasizing the need for systematic approaches to navigate complexities. By employing established futures methods, healthcare professionals can anticipate challenges and shape proactive strategies. This emerging discipline focuses on integrating foresight techniques into medical curricula and policy-making, particularly in the realms of digital health and AI. As technology evolves rapidly, futures studies can transform uncertainty into actionable insights, ensuring healthcare systems remain adaptive and resilient. nn#HealthcareInnovation #DigitalHealth #FuturesStudies #AIinHealthcare #HealthTech #MedicalFuturism #PolicyDevelopment", "refusal": null }, "logprobs": null, "finish_reason": "stop" } ], "usage": { "prompt_tokens": 18625, "completion_tokens": 114, "total_tokens": 18739, "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 } }, "system_fingerprint": "fp_0aa8d3e20b" }

Prompt Tokens - 18625
Completion Tokens - 114
Total Tokens - 18739