Joseph A. Sanford
Associate Vice Chancellor-CCIO
faculty
CORE IOP NC, College of Integrated Clinical Enterprise
8 h-index
32 pubs
257 cited
Research Areas
Biography and Research Information
OverviewAI-generated summary
Joseph A. Sanford's research explores the intersection of clinical practice, electronic health records, and emerging technologies. He has investigated the application of machine learning in intensive care units, utilizing datasets like MIMIC for systematic reviews. Sanford has also examined methods to enhance data collection and utilization in translational research, contributing to the development of innovative solutions. His work includes studies on the impact of anesthetics on physiological waveforms, such as arterial and venous pressure, particularly in critical care scenarios and during hemorrhage.
Further research interests include the structure of publishing networks within anesthesiology and the equity of scholarly communication. Sanford has also explored patient experiences, such as those of older adults with heart failure using telemedicine during the COVID-19 pandemic. His scholarship metrics include an h-index of 8, with 32 total publications and 255 citations. Sanford collaborates with researchers across institutions, including Kevin W. Sexton, Morten Ø. Jensen, Jingxian Wu, and Adria Abella Villafranca.
Metrics
- h-index: 8
- Publications: 32
- Citations: 257
Selected Publications
-
The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis (2025)
-
Squat Quality User Assessment Through Artificial Intelligence: A User-Specific Approach (2025)
-
Experiences of Older Adults with Heart Failure Using Telemedicine During the COVID-19 Pandemic: A Qualitative Study (2024)
-
CARING: Cannula for Alleviation of Retinal Injury Caused by Needle Fluidic Gashing (2024)
-
Using Bibliometric Data to Define and Understand Publishing Network Equity in Anesthesiology (2024)
-
Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation (2023)
-
A long short-term memory model for forecasting the surgical case volumes at a hospital (2023)
-
The Impact of an Organization-Wide Electronic Health Record (EHR) System Upgrade on Physicians' Daily EHR Activity Time: An EHR Log Data Study (2022)
-
Rebooting the Electronic Health Record (2022)
-
Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage (2022)
-
474 Innovative solutions to streamline data collection, exchange, and utilization in translational research (2022)
-
Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review (2021)
-
Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure (2021)
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
Collaboration Network
Top Collaborators
Kevin W. Sexton
University of Arkansas for Medical Sciences
9 shared publications
In database
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- 474 Innovative solutions to streamline data collection, exchange, and utilization in translational research
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- The Impact of an Organization-Wide Electronic Health Record (EHR) System Upgrade on Physicians' Daily EHR Activity Time: An EHR Log Data Study
Showing 5 of 9 shared publications
Hanna Jensen
University of Arkansas for Medical Sciences (US)
4 shared publications
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Jingxian Wu
University of Arkansas at Fayetteville
4 shared publications
In database
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Morten Ø. Jensen
University of Arkansas at Fayetteville
4 shared publications
In database
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Adria Abella Villafranca
University of Arkansas for Medical Sciences
4 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- A long short-term memory model for forecasting the surgical case volumes at a hospital
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Md Abul Hayat
University of Arkansas at Fayetteville (US)
3 shared publications
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
Mitchell H. Tsai
University of Vermont (US)
3 shared publications
- Using Bibliometric Data to Define and Understand Publishing Network Equity in Anesthesiology
- Rebooting the Electronic Health Record
- Fractals, fano planes, and perioperative teams: A narrative review
Sam E. Stephens
University of Arkansas at Fayetteville
3 shared publications
In database
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
- Modeling peripheral arterial and venous pressure signals with integral pulse frequency modulation
- The Importance of a Continuously Changing Heart Rate in Venous and Arterial Pressure Analysis
Kaylee Henry
University of Arkansas at Fayetteville (US)
2 shared publications
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
Lauren D. Crimmins-Pierce
University of Arkansas at Fayetteville
2 shared publications
In database
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
- Critical Information from High Fidelity Arterial and Venous Pressure Waveforms During Anesthesia and Hemorrhage
Maryam Y. Garza
University of Arkansas for Medical Sciences (US)
2 shared publications
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- 474 Innovative solutions to streamline data collection, exchange, and utilization in translational research
Meredith Zozus
The University of Texas Health Science Center at San Antonio (US)
2 shared publications
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- 474 Innovative solutions to streamline data collection, exchange, and utilization in translational research
Fred Prior
University of Arkansas for Medical Sciences
2 shared publications
In database
- Application of Machine Learning in Intensive Care Unit (ICU) Settings Using MIMIC Dataset: Systematic Review
- 474 Innovative solutions to streamline data collection, exchange, and utilization in translational research
Anthony L. Gunderman
University of Arkansas at Fayetteville
2 shared publications
In database
- CARING: Cannula for Alleviation of Retinal Injury Caused by Needle Fluidic Gashing
- Squat Quality User Assessment Through Artificial Intelligence: A User-Specific Approach
Ali Al-Alawi
University of Arkansas at Fayetteville
1 shared publication
In database
- Anesthetics affect peripheral venous pressure waveforms and the cross-talk with arterial pressure
Similar Researchers
Based on overlapping research topics
Caraline Annichiarico
University of Arkansas for Medical Sciences
Meta-analysis and systematic reviews
Telemedicine and Telehealth Implementation
Anesthesia and Pain Management
Sheena CarlLee
University of Arkansas at Fayetteville
Meta-analysis and systematic reviews
Telemedicine and Telehealth Implementation
Healthcare Policy and Management
Matthew Tyler Boden
University of Arkansas at Fayetteville
Meta-analysis and systematic reviews
Telemedicine and Telehealth Implementation
Healthcare Policy and Management
Saroj Raut
Arkansas State University
Meta-analysis and systematic reviews
Machine Learning Applications
Healthcare Policy and Management
A. Parsons
University of Arkansas for Medical Sciences
Meta-analysis and systematic reviews
Telemedicine and Telehealth Implementation
SARS-CoV-2 and COVID-19 Research
Madeline Butera
University of Arkansas for Medical Sciences
Meta-analysis and systematic reviews
Telemedicine and Telehealth Implementation
SARS-CoV-2 and COVID-19 Research