A Method for Understanding Some Consequences of Bringing Patient-Generated Data into Health Care Delivery

Duane A. Steward, Richard A. Hofler, Carey Thaldorf and David E. Milov
Additional contact information
Duane A. Steward: Nemours Health Informatics, Nemours Children's Clinic, Orlando, Florida, dsteward@nemours.org
Richard A. Hofler: Economics Department, College of Business Administration, University of Central Florida, Orlando, Florida
Carey Thaldorf: Doctoral Program, College of Health and Public Affairs, University of Central Florida, Orlando, Florida
David E. Milov: Received 9 July 2008 from Nemours Health Informatics, Nemours Children's Clinic, Orlando, Florida

Medical Decision Making, 2010, vol. 30, issue 4, E1-E13

Abstract: Objective. The consequences of personal health record (PHR) phenomena on the health care system are poorly understood. This research measures one aspect of the phenomena—the time-cost impact of patient-generated data (PGD) using discrete event model (DEM) simulation. Background/Significance. Little has been written about the temporal and cognitive burden associated with new workflows that include PGD. This pilot study reports the results for time-cost and resource utilization of a ‘‘typical’’ ambulatory clinic under varying conditions of PGD burden. Methods. PGD effects are modeled with DEM simulation reflecting the sequential relationships, temporal coupling, and impact assumptions within a virtual clinic. Three simulation scenarios of ever-increasing PGD impact are compared to a baseline case of no PGD use. Results. Introduction of PGD resulted in expected increases in cost and resource utilization along with a few key exceptions and unanticipated consequences. Direct and indirect impacts were observed with notable nonlinear, nonadditive, disproportionate, heterogeneous aspects and interactions among consequent labor cost, visit length, workday length, and resource utilization. The middle-impact simulations showed a 29% increase in daily labor costs and 28% shrinkage of the margin between revenues and labor costs. Lengths of both workday and patient visit were extended and less predictable with PGD use. Utilization rates of most staff positions rose. Nurse utilization rates showed greatest increases. Physicians’ utilization rates paradoxically stayed relatively unchanged. Conclusion. This analysis contributes to an understanding of the effects of PGD on time and cognitive burdens of physicians, staff, and physical resources. It illustrates the usefulness of DEM simulation for the purpose. Avoidable consequences are exposed quantifiably for both the patient and the clinic. More realistic ways to respond to PGD impact are needed.

Keywords: discrete event simulation; computerized elicitation of preferences and judgments; physician-patient communication; resource allocation; productivity loss; health preference elicitation; performance measures; decision support techniques. (search for similar items in EconPapers)
Date: 2010
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/0272989X10371829 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:30:y:2010:i:4:p:e1-e13

DOI: 10.1177/0272989X10371829

Access Statistics for this article

More articles in Medical Decision Making
Bibliographic data for series maintained by SAGE Publications ().