The use of Large Language Models (LLMs) in mental health highlights the need to understand their responses to emotional content. Previous research shows that emotion-inducing prompts can elevate “anxiety” in LLMs, affecting behavior and...
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Health Innovation East Midlands and Health Innovation West Midlands have launched Grow a programme designed to support companies to develop and scale digital health innovations within the NHS and care sector.
The Grow Digital Health...
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This roundup is meant to highlight some of the most notable funding rounds of the month and is not intended to be comprehensive.Health tech companies made several major funding announcements in February. Here is...
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Top NewsIreland’s Health Service Executive launches a health app that allows patients maintain a medical list, store health-related ID cards, access vaccination records, and search for HSE services.
Planned enhancements for this year include...
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The bewilderingly opaque nature of healthcare prices is making headlines again after President Donald Trump’s latest executive order, which aims to strengthen enforcement for the Centers for Medicare & Medicaid Services’ price transparency requirements.Having...
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Dr. Hamad Husainy is an emergency medicine physician who works in different emergency departments, and he states very clearly that, more often than not, he is inundated with data – very little of which...
In the fast-paced world of emergency medicine, data overload can hinder effective patient care. Dr. Hamad Husainy emphasizes the need for actionable, digestible data that supports clinicians in real-time. At HIMSS25, he will discuss how post-acute care management technology can streamline patient transitions and reduce avoidable readmissions. By leveraging AI, healthcare organizations can enhance patient monitoring and improve outcomes, ensuring clinicians focus on what truly matters. CIOs must prioritize delivering relevant data to avoid overwhelming their teams and embrace value-based care's inevitable growth.#HealthcareIT #DataManagement #AIinHealthcare #ValueBasedCare #PatientOutcomes #HIMSS25 #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
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Background: Even though several mobile applications that can measure blood pressure (BP) have been developed, the data about the accuracy of those applications are limited. Objective: This study assessed the accuracy of AlwaysBP (test)...
#Summary: Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study#Introduction
This blog post discusses a study that validates the use of a smartphone's camera and inertial measurement unit (IMU) for measuring blood pressure. The study aims to determine the accuracy and reliability of this method.#Background
The blog post provides a brief background on the importance of blood pressure measurement in healthcare and the limitations of current methods. It highlights the potential of using smartphones as a convenient and accessible tool for blood pressure monitoring.#Methods
The study involved collecting data from participants using a smartphone equipped with a camera and IMU. The participants' blood pressure was also measured using a standard sphygmomanometer
As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Blood Pressure Measurement Based on the Camera and Inertial Measurement Unit of a Smartphone: Instrument Validation Study https://mhealth.jmir.org/2023/1/e44147/ Model - gpt-3.5-turbo Role - user Temperature - 0.4 Maximum Tokens - 150
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Background: Hypertension is highly prevalent among patients undergoing hemodialysis, with a significant proportion experiencing poorly controlled blood pressure (BP). Digital BP management in this population has been underutilized. Objective: This study aimed to explore...
Title: Efficacy of Web-Based Home BP Monitoring in Predialysis Patients#Introduction:
A study on the effectiveness of a web-based home blood pressure monitoring program for predialysis patients undergoing hemodialysis.#Methods:
Randomized controlled trial comparing the use of the web-based program to standard care for blood pressure control.#Results:
Patients using the web-based program showed significant improvements in blood pressure control compared to those receiving standard care.#Discussion:
Implications of the study's findings for improving blood pressure management in predialysis patients.#Conclusion:
The web-based home blood pressure monitoring program was found to be effective in improving blood pressure control among predialysis patients.#Implications for Healthcare IT:
The study highlights the potential
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Background: Understanding the causes and mechanisms underlying musculoskeletal pain is crucial for developing effective treatments and improving patient outcomes. Self-report measures, such as the Pain Drawing Scale, involve individuals rating their level of pain...
Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study#Introduction:
A new study validates an automated pain spots recognition algorithm on a web service-based platform.#Methods:
The study outlines the methods used to validate the algorithm for recognizing pain spots.#Results:
The results of the study show the effectiveness of the automated pain spots recognition algorithm.#Discussion:
The discussion highlights the implications of using this algorithm in healthcare IT for pain management.#Conclusion:
The study concludes that the web service-based platform with the automated pain spots recognition algorithm is a valuable tool in healthcare.#HealthcareIT #PainManagement #AlgorithmValidation #WebServicePlatform #InstrumentValidationStudy #mHealth
As a healthcare IT expert, write a 50-80 extractive summarization summary for social media platforms, that is focused, accurate, and strictly reflects the content based on a blog post from the given URL. The summary should include all headings from the blog post, with inline hashtags for each heading. When including the inline hashtags, use specific hashtags related to the headings rather than generic healthcare or technology hashtags. If the headings in the blog post are too long or unclear, feel free to rephrase them into shorter, clearer versions that still convey the main idea. The target audience is other healthcare IT professionals.Following is the title and url. Automated Pain Spots Recognition Algorithm Provided by a Web Service–Based Platform: Instrument Validation Study https://mhealth.jmir.org/2024/1/e53119/ Model - gpt-3.5-turbo Role - user Temperature - 0.4 Maximum Tokens - 150
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IT leaders must enable real-time collaboration between healthcare providers and social service organizations – and as healthcare moves more toward value-based care, seamless data exchange and cross-sector coordination will become mandatory for improving care...
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.
