Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
The influence of payer mix on electronic health record adoption by physicians
38
Zitationen
4
Autoren
2007
Jahr
Abstract
BACKGROUND: Numerous studies have examined the relationship between physician practice characteristics and electronic health record (EHR) adoption. Little is known about how payer mix influences physicians' decisions to implement EHR systems. PURPOSE: This study examines how different proportions of Medicare, Medicaid, and privately insured patients in physicians' practices influence EHR adoption. METHODOLOGY: Data from a large-scale survey of physician's use of information technologies in Florida were analyzed. Physicians were categorized based on their responses to questions regarding the proportion of patients in their practice that use Medicare, Medicaid, or private insurance products. The binary dependent variable of interest was EHR adoption among physicians. Adjusted odds ratios (ORs) were computed using logistic regression modeling techniques. The model examined the effect of changes in each payer type on EHR adoption, controlling for various practice characteristics. FINDINGS: Physicians with the highest percentage of Medicaid patients in their practices were significantly less likely to indicate using an EHR system when compared with those in the low-volume Medicaid group (OR = 0.690; 95% confidence interval [CI] = 0.50-0.95). No differences in EHR adoption were detected among physicians in the low, median, and high Medicare volume classifications. Among the private payer classifications, physicians whose practices were in the median group indicated significantly greater EHR use than those with relatively low levels of privately insured patients (OR = 1.62; 95% CI = 1.16-2.27). Those in the high-volume private payer group were also more likely than the low-volume group to have an EHR system, but this trend did not reach statistical significance (OR = 1.44; 95% CI = 0.96-2.16). PRACTICE IMPLICATIONS: Governmental insurance programs are either not influencing or negatively influencing EHR adoption among physicians in Florida. Given the quality and cost benefits associated with EHR use (particularly for health care payers), policymakers should consider strategies to incentivize or reward EHR adoption among doctors who care for Medicare and Medicaid patients.
Ähnliche Arbeiten
Machine Learning in Medicine
2019 · 3.820 Zit.
Systematic Review: Impact of Health Information Technology on Quality, Efficiency, and Costs of Medical Care
2006 · 3.176 Zit.
Effects of Computerized Clinical Decision Support Systems on Practitioner Performance and Patient Outcomes
2005 · 2.972 Zit.
Studies in health technology and informatics
2008 · 2.903 Zit.
An overview of clinical decision support systems: benefits, risks, and strategies for success
2020 · 2.744 Zit.