The impact of electronic medical record systems on outpatient workflows: A longitudinal evaluation of its workflow effects

Abstract

Context The promise of the electronic medical record (EMR) 1 1 The electronic medical record (EMR) is defined as a type of clinical information system, which is dedicated to collecting, storing, manipulating, and making available clinical information important to the delivery of patient care. The central focus of such systems is clinical data and not financial or billing information. Such systems may be limited in their scope to a single area of clinical information (e.g., laboratory data), or they may be comprehensive and cover virtually every facet of clinical information pertinent to patient care (e.g., computer-based patient record systems). An ideal EMR's usually encompasses (i) a longitudinal collection of electronic health information for and about person; (ii) electronic access to person- and population-level information by authorized users. lies in its ability to reduce the costs of health care delivery and improve the overall quality of care – a promise that is realized through major changes in workflows within the health care organization. Yet little systematic information exists about the workflow effects of EMRs. Moreover, some of the research to-date points to reduced satisfaction among physicians after implementation of the EMR and increased time, i.e., negative workflow effects. A better understanding of the impact of the EMR on workflows is, hence, vital to understanding what the technology really does offer that is new and unique. Objective (i) To empirically develop a physician centric conceptual model of the workflow effects of EMRs; (ii) To use the model to understand the antecedents to the physicians’ workflow expectation from the new EMR; (iii) To track physicians’ satisfaction overtime, 3 months and 20 months after implementation of the EMR; (iv) To explore the impact of technology learning curves on physicians’ reported satisfaction levels. Design The current research uses the mixed-method technique of concept mapping to empirically develop the conceptual model of an EMR's workflow effects. The model is then used within a controlled study to track physician expectations from a new EMR system as well as their assessments of the EMR's performance 3 months and 20 months after implementation. Setting The research tracks the actual implementation of a new EMR within the outpatient clinics of a large northeastern research hospital. Participants The pre-implementation survey netted 20 physician responses; post-implementation Time 1 survey netted 22 responses, and Time 2 survey netted 26 physician responses. Intervention The implementation of the actual EMR served as the intervention. Since the study was conducted within the same setting and tracked a homogenous group of respondents, the overall study design ensured against extraneous influences on the results. Main outcome measures Outcome measures were derived empirically from the conceptual model. They included 85 items that measured physician perceptions of the EMR's workflow effect on the following eight issues: (1) administration, (2) efficiency in patient processing, (3) basic clinical processes, (4) documentation of patient encounter, (5) economic challenges and reimbursement, (6) technical issues, (7) patient safety and care, and (8) communication and confidentiality. The items were used to track expectations prior to implementation and they served as retrospective measures of satisfaction with the EMR in post-implementation Time 1 and Time 2. Results The findings suggest that physicians conceptualize EMRs as an incremental extension of older computerized provider order entries (CPOEs) rather than as a new innovation. The EMRs major functional advantages are seen to be very similar to, if not the same as, those of CPOEs. Technology learning curves play a statistically significant though minor role in shaping physician perceptions. Conclusions The physicians’ expectations from the EMR are based on their prior beliefs rather than on a rational evaluation of the EMR's fit, functionality, or performance. Their decision regarding the usefulness of the EMR is made very early, within the first few months of use of the EMR. These early perceptions then remain stable and become the lens through which subsequent experience with the EMR is interpreted. The findings suggest a need for communication based interventions aimed at explaining the value, fit, and usefulness of EMRs to physicians early in the pre- and immediate post-EMR implementation stages.