A5012833514- Electronic Health Records Systems
- Mobile Health and mHealth Applications
- Digital Mental Health Interventions
- Health Literacy and Information Accessibility
- Behavioral Health and Interventions
- Maternal Mental Health During Pregnancy and Postpartum
- Healthcare Systems and Technology
- Emergency and Acute Care Studies
- Healthcare Technology and Patient Monitoring
- Interpreting and Communication in Healthcare
- Artificial Intelligence in Healthcare and Education
- ICT in Developing Communities
- Advanced Text Analysis Techniques
- Patient-Provider Communication in Healthcare
- Machine Learning in Healthcare
- Grief, Bereavement, and Mental Health
- Media Influence and Health
- Pharmaceutical Practices and Patient Outcomes
- Quality and Safety in Healthcare
- Artificial Intelligence in Healthcare
- Migration, Health and Trauma
- Telemedicine and Telehealth Implementation
- Human-Automation Interaction and Safety
- Patient Safety and Medication Errors
- Occupational Health and Safety Research
Columbia University
2022-2025
Columbia University Irving Medical Center
2023-2025
Bahir Dar University
2024
University School
2024
Emory University
2024
Cornell University
2019-2023
Weill Cornell Medicine
2019-2023
MedStar Health
2014-2021
University at Buffalo, State University of New York
2015-2021
University of Michigan
2020
Abstract The usability of electronic health records (EHRs) continues to be a point dissatisfaction for providers, despite certification requirements from the Office National Coordinator that require EHR vendors employ user-centered design (UCD) process. To better understand factors contribute poor usability, research team visited 11 different in order analyze their UCD processes and discover specific challenges faced as they sought integrate with development. Our analysis demonstrates...
Qualitative research, the analysis of nonquantitative and nonquantifiable data through methods such as interviews observation, is integral to field biomedical health informatics. To demonstrate integrity quality their qualitative authors should report important elements work. This perspective article offers guidance about reporting components including theory, research question, sampling, collection methods, analysis, results, discussion. Addressing these points in paper assists peer...
This study uses data reported by electronic health record (EHR) vendors to the US Department of Health and Human Services’ Office National Coordinator for Information Technology determine whether usability certification requirements testing standards were met.
Use of artificial intelligence in healthcare, such as machine learning-based predictive algorithms, holds promise for advancing outcomes, but few systems are used routine clinical practice. Trust has been cited an important challenge to meaningful use Artificial often involve automating cognitively challenging tasks. Therefore, previous literature on trust automation may hold lessons applications healthcare. In this perspective, we argue that informatics should take from the goal be foster...
Abstract Objective We developed and externally validated a machine-learning model to predict postpartum depression (PPD) using data from electronic health records (EHRs). Effort is under way implement the PPD prediction within EHR system for clinical decision support. describe pre-implementation evaluation process that considered performance, fairness, appropriateness. Materials Methods used an academic medical center (AMC) research network database 2014 2020 evaluate predictive performance...
Abstract Objective Predictive analytics are potentially powerful tools, but to improve healthcare delivery, they must be carefully integrated into organizations. Our objective was identify facilitators, challenges, and recommendations for implementing a novel predictive algorithm which aims prospectively patients with high preventable utilization proactively involve them in preventative interventions. Materials Methods In preparation the 3 organizations, we interviewed stakeholder groups:...
<h3>PURPOSE</h3> The need to rapidly implement telemedicine in primary care during the coronavirus disease 2019 (COVID-19) pandemic was addressed differently by various practices. Using qualitative data from semistructured interviews with practice leaders, we aimed report commonly shared experiences and unique perspectives regarding implementation evolution/maturation since March 2020. <h3>METHODS</h3> We administered a semistructured, 25-minute, virtual interview 25 leaders 2 health systems...
Left ventricular ejection fraction (EF) is a key measure in the diagnosis and treatment of heart failure (HF) many patients experience changes EF overtime. Large-scale analysis longitudinal using electronic health records (EHRs) limited. In multi-site retrospective study EHR data from three academic medical centers, we investigated measurements diagnosed with HF. We observed significant variations baseline characteristics change behavior HF cohorts previous that based on registry data. Data...
Abstract The application of predictive and generative artificial intelligence to health healthcare is rapidly increasing. Several studies have assessed the attitudes professionals but far fewer explored perspectives patients or general public. Studies investigating patient focused on somatic issues including radiology, perinatal health, applications. Patient feedback has been elicited in development specific mental solutions, towards AI for under-explored. To address this gap, we surveyed a...
Abstract This study aimed to evaluate women’s attitudes towards artificial intelligence (AI)-based technologies used in mental health care. We conducted a cross-sectional, online survey of U.S. adults reporting female sex at birth focused on bioethical considerations for AI-based healthcare, stratifying by previous pregnancy. Survey respondents (n = 258) were open healthcare but concerned about medical harm and inappropriate data sharing. They held clinicians, developers, systems, the...
Objective: Perinatal depression and anxiety are common, underdiagnosed, undertreated, increase the risk of poor maternal infant outcomes. There is a need to accurately estimate prevalence persistence these disorders inform development scalable timely interventions. We aimed screening rates, perinatal in large diverse sample. Methods: analyzed data from medical records 27,393 women who gave birth at NewYork-Presbyterian hospital between 12-01-2020 02-01-2024. Our final sample included 3051...
Displaced populations face an elevated risk for tobacco use, especially smokeless (SLT), due to its affordability and acceptability in regions like Mizoram State (India) Chin (Myanmar). Despite this, limited research exists on use patterns contributing factors among displaced populations. This study aimed examine smoked SLT communities Mizoram, India. We collected data across nine villages using mobile health technology. conducted logistic regression models the cross-sectional associations...