A5079194583- Electronic Health Records Systems
- Patient Safety and Medication Errors
- Emergency and Acute Care Studies
- Healthcare Technology and Patient Monitoring
- Artificial Intelligence in Healthcare and Education
- Primary Care and Health Outcomes
- Healthcare Policy and Management
- Telemedicine and Telehealth Implementation
- Machine Learning in Healthcare
- Patient Satisfaction in Healthcare
- Health Systems, Economic Evaluations, Quality of Life
- Healthcare cost, quality, practices
- Chronic Disease Management Strategies
- Healthcare Systems and Technology
- Sepsis Diagnosis and Treatment
- Medical Coding and Health Information
- Pharmaceutical Practices and Patient Outcomes
- Patient-Provider Communication in Healthcare
- Non-Invasive Vital Sign Monitoring
- Cardiac, Anesthesia and Surgical Outcomes
- Hemodynamic Monitoring and Therapy
- Frailty in Older Adults
- Trauma and Emergency Care Studies
- Topic Modeling
- Ultrasound in Clinical Applications
Sheba Medical Center
2016-2025
Tel Aviv University
2010-2025
Icahn School of Medicine at Mount Sinai
2023
Mount Sinai Health System
2023
Israel Ministry of Health
2022-2023
Good Shepherd Penn Partners
2023
National Patient Safety Foundation
2013-2018
Brigham and Women's Hospital
2010-2018
Harvard University
2011-2018
Ingham Institute
2017
<h3>Importance</h3> Identification of patients at a high risk potentially avoidable readmission allows hospitals to efficiently direct additional care transitions services the most likely benefit. <h3>Objective</h3> To externally validate HOSPITAL score in an international multicenter study assess its generalizability. <h3>Design, Setting, and Participants</h3> International retrospective cohort 117 065 adult consecutively discharged alive from medical department 9 large across 4 different...
BackgroundLarge language models (LLMs) have attracted significant interest for automated clinical coding. However, early data show that LLMs are highly error-prone when mapping medical codes. We sought to quantify and benchmark LLM code querying errors across several available LLMs.MethodsWe evaluated GPT-3.5, GPT-4, Gemini Pro, Llama2-70b Chat performance error patterns billing extracted 12 months of unique International Classification Diseases, 9th edition, Clinical Modification...
<h3>Background</h3> In 2001, Canada Health Infoway unveiled a plan to implement national system of interoperable electronic health records. This government-funded corporation introduced novel model for interprovincial/territorial collaboration establish core aspects framework. Despite this $1.6 billion initiative, continues lag behind other Western countries in adopting We conducted study identify the success different Canadian and ways improve adoption <h3>Methods</h3> used case approach...
Patients at the center of care is often stated focus clinicians and healthcare services. The quality safety movement has shown that effective organization needed, in addition to professional skills. This provided professionals others with methods improve both practice for patients. These include measurement give those carrying out improvement feedback about effects their changes. New types measures enable patients report treatment outcomes can now be use reporting bring a renewed on making...
Drug prescription errors are made, worldwide, on a daily basis, resulting in high burden of morbidity and mortality. Existing rule-based systems for prevention such unsuccessful associated with substantial false alerts.In this prospective study, we evaluated the accuracy, validity, clinical usefulness medication error alerts generated by novel system using outlier detection screening algorithms, used top legacy standard system, real-life inpatient setting.We integrated into an existing...
Abstract Background The coronavirus disease 2019 (COVID-19) pandemic has forced health-care providers to find creative ways allow continuity of care in times lockdown. Telemedicine enables provision when in-person visits are not possible. Sheba Medical Center made a rapid transition outpatient clinics video consultations (VC) during the first wave COVID-19 Israel. Objective Results survey patient and clinician user experience with VC reported. Methods Satisfaction surveys were sent by text...
Obesity is associated with severe coronavirus disease 2019 (COVID-19) infection. Disease severity a higher COVID-19 antibody titer. The titer response of patients obesity versus without was compared.The data individuals tested for serology at the Mount Sinai Health System in New York City between March 1, 2020, and December 14, 2021, were retrospectively retrieved. primary outcome peak titer, assessed as binary variable (1:2,880, which highest detected lower than 1:2,880). In positive test,...
Computerized Provider Order Entry (CPOE) can improve patient safety, quality and efficiency, but hospitals face a host of barriers to adopting CPOE, ranging from resistance among physicians the cost systems. In response incentives for meaningful use health information technology other market forces, in United States are increasingly moving toward adoption CPOE. The purpose this study was characterize experiences that have successfully implemented We used qualitative approach observe clinical...
To evaluate the cost savings attributable to implementation of a continuous monitoring system in medical-surgical unit and determine return on investment associated with its implementation.Return analysis.A 316-bed community hospital.Medicine, surgery, or trauma patients admitted transferred 33-bed unit.Each bed was equipped unit, data collected compared 9-month preimplementation period postimplementation period.Two models were constructed: base case model (A) which we estimated total...
Abstract This study was designed to assess how different prompt engineering techniques, specifically direct prompts, Chain of Thought (CoT), and a modified CoT approach, influence the ability GPT-3.5 answer clinical calculation-based medical questions, particularly those styled like USMLE Step 1 exams. To achieve this, we analyzed responses two distinct sets questions: batch 1000 questions generated by GPT-4, another set comprising 95 real questions. These spanned range calculations...
Abstract Background This study evaluated a remote monitoring program for IBD patients, using mobile app to track disease activity and improve patient-provider communication. The included questionnaires, quality of life assessments, home-based calprotectin tests. we aimed develop data-driven, patient-reported care management system early detection clinical flares in enabling timely treatment adjustments. Methods A 12-month prospective cohort 100 adult patients. Participants completed monthly...