A5082243931- Electronic Health Records Systems
- Patient Safety and Medication Errors
- Healthcare Technology and Patient Monitoring
- Medical Malpractice and Liability Issues
- Personal Information Management and User Behavior
- Occupational Health and Safety Research
- Radiology practices and education
- Emergency and Acute Care Studies
- Topic Modeling
- Healthcare Systems and Technology
- Human-Automation Interaction and Safety
- Healthcare Operations and Scheduling Optimization
- Artificial Intelligence in Law
- Clinical Reasoning and Diagnostic Skills
- Pharmaceutical Practices and Patient Outcomes
- Heart Rate Variability and Autonomic Control
- Gaze Tracking and Assistive Technology
- Health Policy Implementation Science
- Artificial Intelligence in Healthcare and Education
- Spinal Fractures and Fixation Techniques
- EEG and Brain-Computer Interfaces
- Ethics in Clinical Research
- Quality and Safety in Healthcare
- Non-Invasive Vital Sign Monitoring
- Machine Learning in Healthcare
MedStar Health
2015-2024
Human Factors (Norway)
2015-2024
Georgetown University
2018-2024
MedStar Georgetown University Hospital
2024
University of British Columbia
2023
ORCID
2023
United States Food and Drug Administration
2015-2020
University of Puerto Rico at Carolina
2019
Breast Cancer Trials
2019
Prince of Wales Hospital
2019
Pediatric populations are uniquely vulnerable to the usability and safety challenges of electronic health records (EHRs), particularly those related medication, yet little is known about specific issues contributing hazards. To understand medication errors in care children, we analyzed 9,000 patient reports, made period 2012-17, from three different institutions that were likely EHR use. Of 3,243 (36 percent) had a issue contributed event, 609 (18.8 might have resulted harm. The general...
To derive 7 proposed core electronic health record (EHR) use metrics across 2 healthcare systems with different EHR vendor product installations and examine factors associated time.
<h3>Importance</h3> Physician turnover takes a heavy toll on patients, physicians, and health care organizations. Survey research has established associations of electronic record (EHR) use with professional burnout reduction in effort, but these findings are subject to response fatigue bias. <h3>Objective</h3> To evaluate the association physician productivity EHR patterns, as determined by vendor-derived data platforms, turnover. <h3>Design, Setting, Participants</h3> This retrospective...
Abstract Objective We sought to understand the types of clinical processes, such as image and medication ordering, that are disrupted during electronic health record (EHR) downtime periods by analyzing narratives patient safety event report data. Materials Methods From a database 80 381 reports, 76 reports were identified explicitly describing associated with an EHR period. These analyzed categorized based on developed code book identify processes impacted downtime. also examined whether...
Abstract An increasing number of healthcare providers are adopting patient safety event reporting systems, yet leveraging these data to improve remains a challenge, particularly with large datasets composed thousands reports. A MedStar Health research team, expertise in analytics and human factors, developed intuitive visualization dashboards facilitate exploration trend analysis. Dashboards were using an iterative design development process that was end-user focused. system level dashboard,...
Summary Background: With the widespread use of electronic health records (EHRs) for many clinical tasks, interoperability with other information technology (health IT) is critical effective delivery care. While it generally recognized that poor negatively impacts patient care, little known about specific safety implications. Understanding implications will help prioritize efforts around architectures and standards. Objectives: Our objectives were to (1) identify incident reports reflect EHR...
Interruptions can adversely impact human performance, particularly in fast-paced and high-risk environments such as the emergency department (ED). Understanding physician behaviors before, during, after interruptions is important to design promotion of safe effective workflow solutions. However, traditional factors-based interruption models do not accurately reflect complexities real-world like ED may capture multiple multitasking.We present a more comprehensive framework for understanding...
Objectives The objective of this study was to explore the use natural language processing (NLP) algorithm categorise contributing factors from patient safety event (PSE). Contributing are elements in healthcare process (eg, communication failures) that instigate an or allow occur. can be used further investigate why events occurred. Methods We 10 years self-reported PSE reports a multihospital system USA. Reports were first selected by date. calculated χ 2 values for each ngram bag-of-words...
Summary Objective: Patient safety event data repositories have the potential to dramatically improve if analyzed and leveraged appropriately. These reports often consist of both structured data, such as general type categories, unstructured free text descriptions event. Analyzing these particularly rich narratives, can be challenging, especially with tens thousands reports. To overcome resource intensive manual review process descriptions, we demonstrate effectiveness using an unsupervised...
Different health information technology (health IT) systems are intended to support medication ordering, reviewing, and administration. We sought identify the types of errors associated with IT use, whether they reached patient, where in process those occurred, specific usability issues contributing errors.Patient safety event reports from more than 595 healthcare facilities entered between January 2013 September 2018 were analyzed. computationally identified process, including computerized...
Medical errors are a leading cause of death in the United States. Despite widespread adoption patient safety reporting systems to address medical errors, making sense reports collected these is challenging practice. Event classification taxonomies used many can be complex and difficult understand by frontline reporters, reporters classify as "miscellaneous" opposed assigning specific event-type category, which may facilitate analysis.To assist analysts their analysis reports, we developed an...
COVID-19 vaccines are vital tools in the defense against infection and serious disease due to SARS-CoV-2. There many challenges implementing mass vaccination campaigns for large, diverse populations from crafting vaccine promotion messages reaching individuals a timely effective manner. During this unprecedented period, with essential protecting vulnerable patient attaining herd immunity, health care systems were faced dual of outreach distribution.The aim cross-sectional study was assess...
Blood pressure (BP) is routinely invasively monitored by an arterial catheter in the intensive care unit (ICU). However, available data comparing accuracy of noninvasive methods to catheters for measuring BP ICU are limited small numbers and diverse methodologies.
There is a growing body of research highlighting that Black women have more adverse maternal health events. Instead only focusing on severe morbidity and mortality events, patient safety events (PSEs) feedback reports are data sources can offer insights into broader spectrum safety, including near misses, unsafe conditions. In this work, we explore the racial differences in representation mothers birthing individuals' (MBIs) voices PSE reports.
Stationary eye-tracking technology has been used extensively in human-computer interaction to both understand how humans interact with computers and as an mechanism. Mobile is becoming more prevalent, yet the analysis annotation of mobile data remains challenging. We present a novel human-in-the-loop approach for that dramatically reduces resource requirements. This method incorporates human insight semi-automatic decision making process, leveraging computational power abilities. demonstrate...