The focus of the Fall 2009 issue of Perspectives in Health Information Management is highlighting new research and features a white paper on healthcare fraud and abuse, a framework for predicting electronic health record adoption attitudes, and an exploratory study of radiology coding.
“The Fall 2009 issue of Perspectives in Health Information Management is for new investigators,” says editor Bill Rudman, PhD. “New investigators may find the research path difficult; however, success is in
by Lawrence Weinstein, MD, ABHM; Todd Radano; Timothy Jack, MD; Philip Kalina, MS; and John S. Eberhardt III
Abstract
Introduction: This paper explores the use of machine learning and Bayesian classification models to develop broadly applicable risk stratification models to guide disease management of health plan enrfollees with substance use disorder (SUD). While the high costs and morbidities associated with SUD are understood by payers, who manage it through utilization review, acute
An exploratory study was undertaken to determine the role and practice issues of radiology coding in health information management (HIM) practice. The study sought to identify the challenges of radiology coding and the solutions implemented to address these challenges. A self-report survey was sent to 828 American Health Information Management Association (AHIMA) members identified as directors, managers, or supervisors of HIM departments and/or coding.
by Margaret M. Foley, PhD, RHIA, CCS; Regina M. Glenn, MS, RHIA, CCS; Peggy L. Meli, PhD, RHIA, LHRM; and Rita A. Scichilone, MHSA, RHIA, CCS, CCS-P, CHC-F
Introduction
Health information management (HIM) professionals’ involvement with disease classification and nomenclature in the United States can be traced back to the early 20th century. In 1914, Grace Whiting Myers, the founder of the association known today as the American Health Information Management Association (AHIMA),
by William J. Rudman, PhD; John S. Eberhardt III; William Pierce, RHIA; and Susan Hart-Hester, PhD
In Texas, a supplier of durable medical equipment was found guilty of five counts of healthcare fraud due to submission of false claims to Medicare. The court sentenced the supplier to 120 months of incarceration and restitution of $1.6 million.1
Raritan Bay Medical Center agreed to pay the government $7.5 million to settle allegations that it defrauded the Medicare program, purposely inflating
by Mary E. Morton, PhD, RHIA, and Susan Wiedenbeck, PhD
Abstract
With a focus on improving the quality of patient care, the President George W. Bush called for electronic health records (EHRs) for all Americans by the year 2014; however, recent estimates for EHR adoption in the ambulatory care environment are just over 10 percent. The objective of this study was to determine the individual characteristics and the social and technical factors that may contribute to physician acceptance of EHRs.
by Desla Mancilla, MPA, RHIA, and Jackie Moczygemba, MBA, RHIA, CCS
Abstract
The crime of medical identity theft is a growing concern in healthcare institutions. A mixed-method study design including a two-stage electronic survey, telephone survey follow-up, and on-site observations was used to evaluate current practices in admitting and registration departments to reduce the occurrence of medical identity theft. Survey participants were chief compliance officers in acute healthcare organizations
The study’s aim was to examine factors that may influence health information managers in the adoption of electronic health records. The Technology Acceptance Model (TAM) served as theoretical foundation for this quantitative study. Hospital health information managers in Arkansas were queried as to the constructs of perceived usefulness, perceived ease of use, and behavior intention. The study population comprised 94 health information managers
by Prerna Sethi, PhD, and Kimberly Theodos, MS, RHIA
Abstract
Exponentially growing biological and bioinformatics data sets present a challenge and an opportunity for researchers to contribute to the understanding of the genetic basis of phenotypes. Due to breakthroughs in microarray technology, it is possible to simultaneously monitor the expressions of thousands of genes, and it is imperative that researchers have access to the clinical data to understand the genetics and proteomics
