Development of a Web-Based Oxygenation Dashboard for Preterm Neonates: A Quality Improvement Initiative
Conclusions: A web-based customized oxygenation dashboard for preterm neonates at the NI CU was developed and found feasible during evaluation. More clear and objective information was found supportive for clinicians during the daily rounds in tailoring treatment strategies. (Source: Journal of Medical Systems)
Source: Journal of Medical Systems - April 24, 2024 Category: Information Technology Source Type: research
Learning with AI Language Models: Guidelines for the Development and Scoring of Medical Questions for Higher Education
This article explores the use of AI language models in biomedical education, focusing on their application in both classroom teaching and learning assignments. Using the SOLO taxonomy as a framework, I discuss strategies for designing questions that challenge students to exercise critical thinking and problem-solving skills, even when assisted by AI models. Additionally, I propose a scoring rubric for evaluating student performance when collaborating with AI language models, ensuring a comprehensive assessment of their learning outcomes.AI language models offer a promising opportunity for enhancing student engagement and p...
Source: Journal of Medical Systems - April 23, 2024 Category: Information Technology Source Type: research
Application of the Stanford Biodesign Framework in Healthcare Innovation Training and Commercialization of Market Appropriate Products: A Scoping Review
AbstractThe Stanford Biodesign needs-centric framework can guide healthcare innovators to successfully adopt the ‘Identify, Invent and Implement’ framework and develop new healthcare innovations products to address patients’ needs. This scoping review explored the application of the Stanford Biodesign framework for healthcare innovation training and the development of novel healthcare innovative products . Seven electronic databases were searched from their respective inception dates till April 2023: PubMed, Embase, CINAHL, PsycINFO, Web of Science, Scopus, ProQuest Dissertations, and Theses Global. This review was r...
Source: Journal of Medical Systems - April 22, 2024 Category: Information Technology Source Type: research
Proactive Polypharmacy Management Using Large Language Models: Opportunities to Enhance Geriatric Care
AbstractPolypharmacy remains an important challenge for patients with extensive medical complexity. Given the primary care shortage and the increasing aging population, effective polypharmacy management is crucial to manage the increasing burden of care. The capacity of large language model (LLM)-based artificial intelligence to aid in polypharmacy management has yet to be evaluated. Here, we evaluate ChatGPT ’s performance in polypharmacy management via its deprescribing decisions in standardized clinical vignettes. We inputted several clinical vignettes originally from a study of general practicioners’ deprescribing...
Source: Journal of Medical Systems - April 18, 2024 Category: Information Technology Source Type: research
Comparing the Effectiveness of a Clinical Decision Support Tool in Reducing Pediatric Opioid Dose Calculation Errors: PediPain App vs. Traditional Calculators – A Simulation-Based Randomised Controlled Study
AbstractWrong dose calculation medication errors are widespread in pediatric patients mainly due to weight-based dosing. PediPain app is a clinical decision support tool that provides weight- and age- based dosages for various analgesics. We hypothesized that the use of a clinical decision support tool, the PediPain app versus pocket calculators for calculating pain medication dosages in children reduces the incidence of wrong dosage calculations and shortens the time taken for calculations. The study was a randomised controlled trial comparing the PediPain app vs. pocket calculator for performing eight weight-based calcul...
Source: Journal of Medical Systems - April 17, 2024 Category: Information Technology Source Type: research
Knowledge, Attitudes, and Practices about Electronic Personal Health Records: A Cross-Sectional Study in a Region of Northern Italy
AbstractThe Electronic Personal Health Record (EPHR) provides an innovative service for citizens and professionals to manage health data, promoting patient-centred care. It enhances communication between patients and physicians and improves accessibility to documents for remote medical information management. The study aims to assess the prevalence of awareness and acceptance of the EPHR in northern Italy and define determinants and barriers to its implementation. In 2022, a region-wide cross-sectional study was carried out through a paper-based and online survey shared among adult citizens. Univariable and multivariable r...
Source: Journal of Medical Systems - April 17, 2024 Category: Information Technology Source Type: research
Patient Engagement with Conversational Agents in Health Applications 2016 –2022: A Systematic Review and Meta-Analysis
AbstractClinicians and patients seeking electronic health applications face challenges in selecting effective solutions due to a high market failure rate. Conversational agent applications ( “chatbots”) show promise in increasing healthcare user engagement by creating bonds between the applications and users. It is unclear if chatbots improve patient adherence or if past trends to include chatbots in electronic health applications were due to technology hype dynamics and competitive pressure to innovate. We conducted a systematic literature review using Preferred Reporting Items for Systematic reviews and Meta-Analyses...
Source: Journal of Medical Systems - April 10, 2024 Category: Information Technology Source Type: research
Variations of the Relative Parasympathetic Tone Assessed by ANI During Oocyte Retrieval Under Local Anaesthesia with Virtual Reality : A Randomized, Controlled, Monocentric, Open Study
This study aimed to assess the effectiveness of a virtual reality headset as an adjunct to local anaesthesia in managing nociception during oocyte retrieval. This was a prospective, randomized single-centre study including patients undergoing oocyte retrieval under local anaesthesia. Patients were randomly assigned to the intervention group (virtual reality headset + local anaesthesia) or the control group (local anaesthesia). The primary outcome was the efficacy on the ANI®, which reflects the relative parasympathetic tone. Secondary outcomes included pain, anxiety, conversion to general anaesthesia rate, procedural...
Source: Journal of Medical Systems - April 5, 2024 Category: Information Technology Source Type: research
Responses of Five Different Artificial Intelligence Chatbots to the Top Searched Queries About Erectile Dysfunction: A Comparative Analysis
AbstractThe aim of the study is to evaluate and compare the quality and readability of responses generated by five different artificial intelligence (AI) chatbots—ChatGPT, Bard, Bing, Ernie, and Copilot—to the top searched queries of erectile dysfunction (ED). Google Trends was used to identify ED-related relevant phrases. E ach AI chatbot received a specific sequence of 25 frequently searched terms as input. Responses were evaluated using DISCERN, Ensuring Quality Information for Patients (EQIP), and Flesch-Kincaid Grade Level (FKGL) and Reading Ease (FKRE) metrics. The top three most frequently searched phrases wer...
Source: Journal of Medical Systems - April 3, 2024 Category: Information Technology Source Type: research
CT Perfusion Map Synthesis from CTP Dynamic Images Using a Learned LSTM Generative Adversarial Network for Acute Ischemic Stroke Assessment
AbstractComputed tomography perfusion (CTP) is a dynamic 4-dimensional imaging technique (3-dimensional volumes captured over approximately 1 min) in which cerebral blood flow is quantified by tracking the passage of a bolus of intravenous contrast with serial imaging of the brain. To diagnose and assess acute ischemic stroke, the standard method relies on summarizing acquired CTPs over the time axis to create maps that show different h emodynamic parameters, such as the timing of the bolus arrival and passage (Tmax and MTT), cerebral blood flow (CBF), and cerebral blood volume (CBV). However, producing accurate CTP maps...
Source: Journal of Medical Systems - April 2, 2024 Category: Information Technology Source Type: research
A Graphical Interface to Support Low-Flow Volatile Anesthesia: Implications for Patient Safety, Teaching, and Design of Anesthesia Information Management Systems
(Source: Journal of Medical Systems)
Source: Journal of Medical Systems - March 27, 2024 Category: Information Technology Source Type: research
Effectiveness of Implementing Modified Early Warning System and Rapid Response Team for General Ward Inpatients
This study included all inpatients who stayed in GWs from Jan. 2017 to Feb. 2022. We divided inpatients into GWnon-MEWS and GWMEWS groups according to MEWS and RRT implementation in Aug. 2019. The primary outcome, unexpected deterioration, was defined by unplanned admission to intensive care units. We defined the detection performance and effectiveness of MEWS according to if a warning occurred within 24 h before the unplanned ICU admission. There were 129,039 inpatients included in this study, comprising 58,106 GWnon-MEWS and 71,023 GWMEWS. The numbers of inpatients who underwent an unplanned ICU admission in GWnon-MEWS a...
Source: Journal of Medical Systems - March 26, 2024 Category: Information Technology Source Type: research
A Dynamic Marketplace for Distributing Anesthesia Call: A Quality Improvement Initiative
AbstractAnesthesiologists have a significant responsibility to provide care at all hours of the day, including nights, weekends, and holidays. This call burden carries a significant lifestyle constraint that can impact relationships, affect provider wellbeing, and has been associated with provider burnout. This quality improvement study analyzes the effects of a dynamic call marketplace, which allows anesthesiologists to specify how much call they would like to take across a spectrum of hypothetical compensation levels, from very low to very high. The system then determines the market equilibrium price such that every anes...
Source: Journal of Medical Systems - March 26, 2024 Category: Information Technology Source Type: research
Secure Cloud-Based Electronic Health Records: Cross-Patient Block-Level Deduplication with Blockchain Auditing
AbstractIn today's data-driven world, the exponential growth of digital information poses significant challenges in data management. In recent years, the adoption of cloud-based Electronic Health Records (EHR) sharing schemes has yielded numerous advantages like improved accessibility, availability, and enhanced interoperability. However, the centralized nature of cloud storage presents challenges in terms of information storage, privacy protection, and security. Despite several approaches that have been presented to ensure secure deduplication of similar EHRs, the validation of data integrity without a third-party auditor...
Source: Journal of Medical Systems - March 25, 2024 Category: Information Technology Source Type: research
Assessing the Efficacy of a Novel Massive Open Online Soft Skills Course for South Asian Healthcare Professionals
AbstractIn healthcare professions, soft skills contribute to critical thinking, decision-making, and patient-centered care. While important to the delivery of high-quality medical care, soft skills are often underemphasized during healthcare training in low-and-middle-income countries. Despite South Asia ’s large population, the efficacy and viability of a digital soft skills curriculum for South Asian healthcare practitioners has not been studied to date. We hypothesized that a web-based, multilingual, soft skills course could aid the understanding and application of soft skills to improve health care practitioner knowl...
Source: Journal of Medical Systems - March 21, 2024 Category: Information Technology Source Type: research
