Joseph A. Sanford

Associate Vice Chancellor-CCIO

University of Arkansas for Medical Sciences

faculty

CORE IOP NC, College of Integrated Clinical Enterprise

8 h-index 32 pubs 252 cited

Research Areas

Advanced Neural Network Applications Meta-analysis and systematic reviews Health Systems Anesthesia and Pain Management Healthcare Policy and Management Technology Adoption and User Behaviour Health and Medical Research Impacts

Links

ORCID Research Group UAMS TRI Profile

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OverviewAI-generated summary

Joseph A. Sanford's research focuses on the application of advanced computational methods and technology within healthcare settings. His work includes the systematic review of machine learning applications in Intensive Care Units, utilizing large datasets like MIMIC. Sanford also investigates the structure and equity of publishing networks, specifically within anesthesiology, and explores the physiological effects of anesthetics on pressure waveforms. He has published on methods to streamline data collection and utilization in translational research, alongside work on rebooting electronic health record systems. His scholarship metrics include an h-index of 8, with 32 total publications and 252 citations. Sanford collaborates with researchers across the University of Arkansas system, including Kevin W. Sexton, Morten Ø. Jensen, Jingxian Wu, and Adria Abella Villafranca, with whom he shares multiple publications.

Metrics

h-index: 8
Publications: 32
Citations: 252

Selected Publications

The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025) DOI
Squat Quality User Assessment Through Artificial Intelligence: A User-Specific Approach (2025) DOI
CARING: Cannula for Alleviation of Retinal Injury Caused by Needle Fluidic Gashing (2024) DOI
Using Bibliometric Data to Define and Understand Publishing Network Equity in Anesthesiology (2024) DOI
Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023) DOI
A long short-term memory model for forecasting the surgical case volumes at a hospital (2023) DOI
The Impact of an Organization-Wide Electronic Health Record (EHR) System Upgrade on Physicians' Daily EHR Activity Time: An EHR Log Data Study (2022) DOI
Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022) DOI
474 Innovative solutions to streamline data collection, exchange, and utilization in translational research (2022) DOI
Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review (2021) DOI
Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure (2021) DOI

Grants & Funding

Innovative Care Model for Older Adults with Chronic Heart Failure (i-COACH): A Comparative Effective Patient-Centered Outcomes Research Institute Principal Investigator
UAMS eLink CDC/ADH COVID-19 Collaboration Centers for Disease Control & Prevention - Pass Through: Arkansas Department of Health Principal Investigator
UAMS e-Link Network Statewide Tele-Subspecialty Equipment Project US Department of Agriculture Principal Investigator
Comparative evaluation of Telehealth Multi-Component Optimal Model (MOM) of postpartum care among rural, low-income, and diverse women Patient-Centered Outcomes Research Institute Principal Investigator
UAMS eLink CDC/ADH COVID-19 Collaboration Centers for Disease Control & Prevention - Pass Through: Arkansas Department of Health Principal Investigator
Sexual Assault Forensic Examiner Network for Evidence-based Telemedicine (SAFE-NET) US Dept of Justice - Office for Victims of Crime Principal Investigator
COVID-19 Health Disparities Among Populations at High Risk and Underserved, Including Racial and Ethnic Minority Populations and Rural Communities Centers for Disease Control & Prevention - Pass Through: Arkansas Department of Health Principal Investigator