A5079825697- Electronic Health Records Systems
- Business Process Modeling and Analysis
- Semantic Web and Ontologies
- Ethics in Clinical Research
- Diabetes Management and Research
- Multi-Agent Systems and Negotiation
- Patient-Provider Communication in Healthcare
- Biomedical Text Mining and Ontologies
- Diabetes Management and Education
- Diabetes Treatment and Management
- DNA and Biological Computing
- Patient Dignity and Privacy
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Logic, Reasoning, and Knowledge
- Health Literacy and Information Accessibility
- Speech and dialogue systems
- Natural Language Processing Techniques
- Opioid Use Disorder Treatment
- Clinical practice guidelines implementation
- Mental Health and Psychiatry
- Mobile Health and mHealth Applications
- Healthcare Technology and Patient Monitoring
- Access Control and Trust
- Pharmacovigilance and Adverse Drug Reactions
Arizona State University
2016-2025
Mayo Clinic in Florida
2018-2021
WinnMed
2021
Mayo Clinic in Arizona
2016-2020
Health Solutions (Sweden)
2020
Universitat Rovira i Virgili
2005-2018
University of California, San Diego
2012-2013
University of Edinburgh
2009-2013
San Diego Supercomputer Center
2013
Objectives: Show the generalizability of an ingredient-based method to automatically create up-to-date, error-free, complete list medication codes (e.g., opioid medications with at least one ingredient) from ingredient ingredients). The method, previously evaluated RxNorm terminology, was reused and applied in National Drug Code (NDC) context antidepressant lists. Methods: resulting lists were validated through automatic comparisons curated (the CDC code set HEDIS set), active (Federal...
Abstract Background Due to fear of stigma, patients want more control over the sharing sensitive medical records. The Substance Abuse and Mental Health Administration (SAMHSA) Office National Coordinator (ONC) supported development standards-compliant, consent-respecting record exchange technology using metadata labeling (e.g., substance use information). Existing technologies must be updated with newer standards support than binary-sensitive categorizations better align how physicians...
Managing Type 1 Diabetes (T1D) demands constant vigilance as individuals strive to regulate their blood glucose levels avert the dangers of dysglycemia (hyperglycemia or hypoglycemia). Despite advent sophisticated technologies such automated insulin delivery (AID) systems, achieving optimal glycemic control remains a formidable task. AID systems integrate continuous subcutaneous infusion (CSII) and monitors (CGM) data, offering promise in reducing variability increasing time-in-range....
Background: Better care is delivered when patients and providers share health information. Unfortunately, critical data are often unavailable due to fragmentation within healthcare systems. Sensitive information, like substance use disorder, sequestered in ways that do not meet patient privacy choices provider access needs. This study explored providers’ perspectives on barriers facilitators sharing its impact care. Methods: Focus groups were conducted with 31 from four treatment facilities....
Background: Sharing substance use disorder (SUD) data is essential for advancing equitable healthcare and improving outcomes marginalized populations. However, concerns about privacy, stigma, adherence to privacy regulations often hinder effective sharing. This study explores patient preferences considerations related sharing SUD-related medical records, with a focus on the sociocultural systemic factors that shape their willingness share. Methods: A total of 357 adult patients from four...
A main objective of this study is to assess the opinions 50 behavioral health patients on selective control over their and physical information. We explored patients' preferences regarding current consent models, what information should be shared for care research whether these vary based sensitivity and/or type provider involved. The other was solicit 8 providers patient-driven granular potential impact care. Electronic surveys were implemented at an outpatient Behavioral Health facility...
This study explores behavioral health professionals’ perceptions of granular data. Semi-structured in-person interviews 20 professionals were conducted at two different sites. Qualitative and quantitative analysis was performed. While most agreed that patients should control who accesses their personal medical record (70%), there are certain types information never be restricted (65%). Emergent themes, including perceived reasons might share or withhold (65%), care coordination (12%),...
Background: The goal of this study was to assess patient perspectives and satisfaction with the MiniMed 670G insulin pump. Those participants who used pump as part a hybrid closed loop were also asked provide their views on automatic feature (auto mode). Methods: Adults type 1 diabetes mellitus using Medtronic™ about experience device semi-structured survey developed by research team. Responses quantified identify emergent themes. Results: Seventeen system, while four in combination...
This pilot study compares medical record data sensitivity (e.g., depression is sensitive) and categorization perspective categorized as mental health information) of patients with behavioral conditions healthcare providers using a mixed-methods approach employing patient’s own EHR. Perspectives 25 English- Spanish-speaking were compared providers. Data comparisons resulted in 66.3% agreements, 14.5% partial 19.3% disagreements. Sensitivity obtained 54.5% agreement, 11.9% 33.6% Patients...
Background Type 1 diabetes (T1D) care requires multiple daily self-management behaviors (SMBs). Preliminary studies on SMBs rely mainly self-reported survey and interview data. There is little information adult T1D SMBs, along with corresponding compensation techniques (CTs), gathered in real-time. Objective The article aims to use a patient-centered approach design iDECIDE, smartphone application that gathers CTs related meal alcohol intake exercise real-time, contrast patients' actual...
Integrated mental and physical care environments require data sharing, but little is known about health professionals’ perceptions of patient-controlled sharing. We describe views on sharing using semi-structured interviews a mixed-method analysis with thematic coding. Health information rights, specifically those patients professionals, emerged as key theme. Behavioral professionals identified patient motivations for non-sharing sensitive records relating to substance use, emergency...
Background: There is a lack of systematic ways to analyze how diabetes patients use their insulin pumps self-manage blood glucose compensate for alcohol ingestion and exercise. The objective was “real-life” dosing decisions occurring in conjunction with intake exercise among using pumps. Methods: We recruited adult type 1 (T1D) on pump therapy. Participants were asked maintain daily routines, including those related exercising consuming alcohol, keep 30-day journal performed consumed. Thirty...