Paper Info
Title
A Randomized Trial of Voice-Generated Inpatient Progress Notes: Effects on Professional Fee Billing.
Abstract
Background Prior evaluations of automated speech recognition (ASR) to create hospital progress notes have not analyzed its effect on professional revenue billing codes. As ASR becomes a more common method of entering clinical notes, clinicians, hospital administrators, and payers should understand whether this technology alters charges associated with inpatient physician services. Objectives This study aimed to measure the difference in professional fee charges between using voice and keyboard to create inpatient progress notes. Methods In a randomized trial of a novel voice with ASR system, called voice-generated enhanced electronic note system (VGEENS), to generate physician notes, we compared 1,613 notes created using intervention (VGEENS) or control (keyboard with template) created by 31 physicians. We measured three outcomes, as follows: (1) professional fee billing levels assigned by blinded coders, (2) number of elements within each note domain, and (3) frequency of organ system evaluations documented in review of systems (ROS) and physical exam. Results Participants using VGEENS generated a greater portion of high-level (99233) notes than control users (31.8 vs. 24.3%,p < 0.01). After adjustment for clustering by author, the finding persisted; intervention notes were 1.43 times more likely (95% confidence interval [CI]: 1.14-1.79) to receive a high-level code. Notes created using voice contained an average of 1.34 more history of present illness components (95% CI: 0.14-2.54) and 1.62 more review of systems components (95% CI: 0.48-2.76). The number of physical exam components was unchanged. Conclusion Using this voice with ASR system as tested slightly increases documentation of patient symptom details without reliance on copy and paste and may raise physician charges. Increased provider reimbursement may encourage hospital and provider group to offer use of voice and ASR to create hospital progress notes as an alternative to usual methods.
Year
DOI
Venue
2020
10.1055/s-0040-1713134
APPLIED CLINICAL INFORMATICS
Keywords
DocType
Volume
encounter notes,billing,speech recognition,inpatient care
Journal
11
Issue
ISSN
Citations 
3
1869-0327
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Andrew A White172.22
Tyler Lee200.34
Michelle M Garrison300.34
Thomas H. Payne4126.39