A5006564091- Patient Safety and Medication Errors
- Cardiac, Anesthesia and Surgical Outcomes
- Quality and Safety in Healthcare
- Artificial Intelligence in Healthcare and Education
- Occupational Health and Safety Research
- Healthcare Technology and Patient Monitoring
- Health Literacy and Information Accessibility
- Family Support in Illness
- Technology Assessment and Management
- Aerospace and Aviation Technology
- Artificial Intelligence in Law
- Mobile Health and mHealth Applications
- Intraoperative Neuromonitoring and Anesthetic Effects
- Machine Learning in Healthcare
- Human-Automation Interaction and Safety
- Childhood Cancer Survivors' Quality of Life
- Virtual Reality Applications and Impacts
- Healthcare Operations and Scheduling Optimization
- AI in Service Interactions
- Clinical Reasoning and Diagnostic Skills
- Electronic Health Records Systems
- Surgical Simulation and Training
- Airway Management and Intubation Techniques
- Cancer survivorship and care
MedStar Health
2024-2025
Clemson University
2019-2024
Generative artificial intelligence (AI) technologies have the potential to revolutionise healthcare delivery but require classification and monitoring of patient safety risks. To address this need, we developed evaluated a preliminary system for categorising generative AI errors. Our is organised around two stages (input output) with specific error types by stage. We applied our applications assess its effectiveness in issues: patient-facing conversational large language models (LLMs) an...
The rising adoption of telehealth provides new opportunities for more effective and equitable health care information mediums. ability chatbots to provide a conversational, personal, comprehendible avenue learning about make them promising tool addressing inequity as trends continue toward web-based remote processes. Although have been studied in the domain their efficacy smoking cessation, diet recommendation, other assistive applications, few studies examined how specific design...
The objective of this work is to demonstrate the value simulation testing for rapidly evaluating artificial intelligence (AI) products. Researcher-physician teams simulated use 2 Ambient Digital Scribe (ADS) products by reading scripts outpatient encounters while using both products, yielding a total 44 draft notes. Time edit, perceived amount effort and editing, errors in AI-generated notes were analyzed. Product A took significantly longer had fewer omissions, more additions irrelevant or...
This work examines the variability in how different anesthesia providers approach patient care to provide insight into source and necessity of variations practice, implications individual preferences, subsequent consequences on approaches safety that emphasize standardization. Vignette-based interviews were performed with 18 elicit cognitive processes strategies they utilize as progress through a case. A qualitative data analysis transcripts was illuminate their managing Participants...
Artificial intelligence–enabled ambient digital scribes may have many potential benefits, yet results from our study indicate that there are errors must be evaluated to mitigate safety risks.
Virtual reality, augmented and other forms of virtual environments have the potential to dramatically change how individuals work, learn, interact with each other. A key objective human factors research practice is determine these should be designed maximize performance efficiency, ensure health safety, circumvent environment interaction problems. This session will demonstrate some distinct diverse uses mixed in an alternative format. The begin demonstrator providing a brief overview their...
<sec> <title>UNSTRUCTURED</title> Artificial intelligence enabled ambient digital scribes may have many potential benefits, yet results from our study indicate that there are errors which must be evaluated to mitigate safety risks. </sec>
One of the most common errors in intraoperative medication delivery is result "syringe swap," when syringes that have been mixed up lead to incorrect administration a drug. An improvement syringe organization could reduce errors. Recently, there many efforts improve organization; however, these interventions struggle achieve widespread use, even though they typically report substantial improvements error rates and awareness home institutions. A hub was developed based on observations,...
Medication errors and error-related scenarios in anesthesia remain an important area of research. Interventions best practice recommendations are often based the work-as-imagined healthcare system, remaining under-used due to a range unforeseen complexities work-as- done. In order design adaptable medication delivery systems, better understanding clinical cognition within context work is needed. Fourteen interviews probing providers’ decision making were performed. The results revealed three...
One anesthesia provider is often responsible for prescribing, formulating, dispensing, administering, and documenting medications in the operating room. Unlike other hospital units, there are few safety interventions. Systems engineering approaches can provide important insights into improving patient during medication delivery processes (Kaplan et al., 2013; Reid 2005). This study observed 20 anesthetic cases OR interviewed 10 providers a large midatlantic academic using Engineering...