ahima-perspectives > Paper Categories

Workforce

Evaluating Telemedicine Perception and Readiness among Healthcare Workers in Malaysia

By Wei Chern Ang, Karniza Khalid, Siti Zulaiha Che Hat, Amalina Anuar

Increased access to healthcare is a priority for public healthcare services. This study investigated healthcare workers’ perceptions and readiness to use telemedicine services.

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...
Read More >

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...
Read More >

Methods and Lessons Learned from a Current State Workflow Assessment following Transition to a New Electronic Health Record System

By Claire Hayes Watson, PhD, MPH; Anthony Masalonis, PhD; Tim Arnold, PharmD; Neale R. Chumbler, PhD; William Plew

The transition to a new electronic health record (EHR) system requires an understanding of how the new system addresses the needs, business processes, and current activities of a healthcare system. To address such requirements, a multidisciplinary team conducted a current state workflow...
Read More >

Medical Scribes: Symptom or Cause of Impeded Evolution of a Transformative Artificial Intelligence in the Electronic Health Record?

By George A. Gellert, MD, MPH, MPA, FABPM

Studies have quantified various specific benefits related to the use of medical scribes, finding physician workflow and productivity improvements, with some demonstrating marginal value or detrimental impact. However, this evidence base misses a critical underlying issue with the expanding...
Read More >

The Evolution and Typology of Learning Health System Hospitals and other Health Information Interested Hospitals in the US

Ibukun E Fowe MBChB, MSGH, PhD; Neal T. Wallace, BA, MPP, PhD; and Jill Jamison Rissi, PhD, MPA, RN

This study identifies the type, distribution, and interactions of US hospitals that identify as electronic-data-driven, patient-centric, and learning-focused. Such facilities, termed Health Information Interested (HII) hospitals in this study, meet the defining criteria for one or more of the...
Read More >

1 2