A5103029526- Palliative Care and End-of-Life Issues
- Electronic Health Records Systems
- Data-Driven Disease Surveillance
- Anomaly Detection Techniques and Applications
- Emergency and Acute Care Studies
- Data Quality and Management
- Healthcare cost, quality, practices
- Geriatric Care and Nursing Homes
- Grief, Bereavement, and Mental Health
- Childhood Cancer Survivors' Quality of Life
- Chronic Disease Management Strategies
- Artificial Intelligence in Healthcare
- Patient Safety and Medication Errors
- Natural Language Processing Techniques
- Imbalanced Data Classification Techniques
- Healthcare Technology and Patient Monitoring
Brigham and Women's Hospital
2016-2024
Pearson (United States)
2024
ING Direct
2024
Walsh University
2024
Harvard University
2017-2018
Northeastern University
2016
Importance Patients often visit the emergency department (ED) near end of life. Their common disposition is inpatient hospital admission, which can result in a delayed transition to hospice care and, ultimately, an death that may be misaligned with their goals care. Objective To assess association use novel multidisciplinary program rapidly identify and enroll eligible patients presenting ED Design, Setting, Participants This pre-post quality improvement study novel, multifaceted transitions...
Malfunctions in Clinical Decision Support (CDS) systems occur due to a multitude of reasons, and often go unnoticed, leading potentially poor outcomes. Our goal was identify malfunctions within CDS systems.We evaluated 6 anomaly detection models: (1) Poisson Changepoint Model, (2) Autoregressive Integrated Moving Average (ARIMA) (3) Hierarchical Divisive (HDC) (4) Bayesian (5) Seasonal Hybrid Extreme Studentized Deviate (SHESD) (6) E-Divisive with Median (EDM) Model characterized their...
Abstract Background Rule-base clinical decision support alerts are known to malfunction, but tools for discovering malfunctions limited. Objective Investigate whether user override comments can be used discover malfunctions. Methods We manually classified all rules in our database with at least 10 into 3 categories based on a sample of comments: “broken,” “not broken, could improved,” and broken.” methods (frequency comments, cranky word list heuristic, Naïve Bayes classifier trained...
Clinical Decision Support (CDS) systems play an integral role in the improvement of health care quality and safety. Alert malfunctions within CDS are a common problem these greatly limit its usability. Anomaly detection is novel approach to identify malfunctioning systems. Once anomaly alert firing detected, it can be used rectify potentially fix system make robust reliable. We introduce apply four algorithms estimate dates when and/or changes occur. Preliminary results demonstrate...
The postacute landscape has been challenged since the onset of COVID-19 pandemic by staffing shortages and a decline in bed availability. As result, patients acute care hospitals are experiencing longer lengths stay (LOS) case managers (CMs) managing increasingly complex discharge plans. This project involved design implementation modified Early Screen for Discharge Planning (ESDP) tool to support prioritizing with needs, primary outcome decreasing LOS.The took place community teaching...
Purpose/Objectives: The onset of the coronavirus disease 2019 pandemic increased demand for inpatient services and led to widespread staffing shortages in acute post-acute setting, contributing delayed throughput leading capacity crises. Novel strategies are needed facilitate efficient progression hospitalized patients when medically ready lower levels care. authors have developed a foundational strategic framework patient ensure capture data, enhance efficiency, optimal utilization...
This paper explores the intersection of artificial intelligence (AI) and language preservation efforts, focusing on documentation endangered languages. With over 40% world's languages facing extinction, need for innovative approaches to is urgent. Recent advancements in AI, including machine learning, natural processing, speech recognition, offer promising solutions address challenges faced by linguists communities preserving linguistic diversity. Through a comprehensive review literature...
Clinical Decision Support (CDS) Systems are widely used to support efficient evidence-based care and have become an important aspect of healthcare. CDS systems complex, sometimes malfunction or exhibit anomalous behavior. We previously shown how anomaly detection models can be successfully identify malfunctions in systems. extended this work applied two new on alert firing data from a large health system.