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Information Technology

Using Electronic Health Records Data to Identify Strong Performers in Healthcare Quality Improvement

Adam Baus, PhD, MA, MPH, Andrea Calkins, MPH, Cecil Pollard, MA, Craig Robinson, MPH, Robin Seabury, MS, Marcus Thygeson, MD, MPH, Curt Lindberg, MHA, DMan, Andrya Durr, PhD

This case study presents an adaptable, straightforward framework for identifying positive deviance, or strong performers, within the healthcare setting and is intended for any primary care health system tracking quality measures and aiming to understand the performance of their providers, clinic...
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The Perceptions towards the Effectiveness of mHealth Applications during the COVID-19 Pandemic among Saudi Healthcare Providers

By Mira Maged Abu-Elenin, PhD, Fraheen Jaffery, Rewa Gelal, Ruba Alblaid, and Lujain Samarkandi, PhD

The use of the mHealth apps by health professionals could enhance the utilization and adoption by patients. These applications could increase care accessibility, improve health outcomes, and satisfaction with the provided services. Therefore, this study aimed to explore the utilization rate and...
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Incorporating Digital Health Competencies into The Health Information Curriculum: A Case Study

By Cathy A. Flite PhD, RHIA, FAHIMA, Shannon H. Houser, PhD, MPH, RHIA, Susan L. Foster, EdD, MBA, RHIA, CHPS

This case study aims to provide insight into establishing a health information curriculum that includes knowledge, skills, and abilities on digital competencies and provides instructional suggestions for developing a digital health pedagogy for instructors of the health information...
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Understanding the Effects of a Modified Theory of Planned Behavior That Includes Privacy and Security on Continuance Intention of Telehealth Services

By Diane Dolezel, PhD, MSCS, RHIA, CHDA; Barbara Hewitt, PhD

This study seeks to identify factors that encourage individuals to continue the intention of using telehealth. The authors extended the Theory of Planned Behavior (TPB) by examining constructs that could identify reasons individuals plan to continue using telehealth including security and...
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Predicting Hospital Readmission in Medicaid Patients with Heart Failure Using Administrative and Claims Data

By Jaehyeon Yun, Vishal Ahuja, Daniel F. Heitjan

Given the scope of Medicaid and the distinctive characteristics of the covered population, there is a need for readmission models that are designed for this set of patients. Here, the authors address this gap by using a large Medicaid claims database to develop a novel model for predicting the...
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Prediction of Electronic Health Record Documentation Compliance Using Machine Learning

By Alaa Fathi Al Habib and Hana Mohammed Alharthi, PhD

A critical aspect of a high-quality continuum of patient care is health record documentation. Prediction of poor documentation of electronic health records (EHRs) will help identify physicians who may need early communication to ensure their compliance. Machine learning (ML), a subfield of...
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