Literature DB >> 25880083

The Practice Impact of Electronic Health Record System Implementation Within a Large Multispecialty Ophthalmic Practice.

Rishi P Singh1, Rumneek Bedi2, Ang Li2, Sharmila Kulkarni2, Tiffany Rodstrom2, Gene Altus2, Daniel F Martin2.   

Abstract

IMPORTANCE: Given the lack of previous reports examining the impact of electronic health record (EHR) system migration in ophthalmology, a study evaluating the practice and economic effect of implementing an EHR into an ophthalmic practice is warranted.
OBJECTIVE: To examine the clinical and economic impact of EHR system implementation into a large multispecialty ophthalmic practice. DESIGN, SETTING, AND PARTICIPANTS: A retrospective case-control study was conducted comparing the pre-EHR and post-EHR time periods at the Cole Eye Institute, Cleveland, Ohio. Eight months were spent prior to implementation personalizing and customizing the system to enable advanced charting functions (July 1, 2011, to March 1, 2012). The periods were compared regarding total revenue, total visit volume, revenue per visit, coding volumes, and the number of diagnostic tests and procedures performed. In addition, the total costs of the EHR implementation and the expected return in EHR incentive payments were evaluated. Data analysis was performed from April 1, 2011, through April 5, 2013. MAIN OUTCOMES AND MEASURES: Net revenue, patient volume, revenue to volume ratio, diagnostic and procedure volume, capital and implementation costs, EHR incentive payments received, and coding volumes (including eye and evaluation and management [E/M] codes).
RESULTS: A total of 28,161 patient encounters were identified (13,969 in the pre-EHR period and 14,191 in the post-EHR period). No significant change was identified with total net fiscal revenue between the periods (median, -$44,372 per month; 25th to 75th interquartile range [IQR], -$103,850 to $83,126; P = .42). No significant change in patient volume (median, +217.0; IQR, -511.5 to 812.0; P = .57) or revenue per visit volume (median, -$7; IQR, -$9 to -$1; P = .20) was identified. The volume of diagnostic tests and procedures billed was unchanged after conversion (median, +93; IQR, -20 to 235; P = .13). Overall use of eye codes declined (-15.7%) and use of E/M codes increased (14.7%) following EHR implementation (P < .001). The composition of eye codes showed a 2% change toward comprehensive codes over intermediate codes after implementation, but only the composition of new E/M codes increased (42.6%) (P < .001 for both values). Total capital costs amounted to $1,571,864, and personnel costs amounted to $1,514,334. A cumulative amount of $983,103 from meaningful use attestation is expected by 2016. CONCLUSIONS AND RELEVANCE: The analyses conducted in this study did not identify significant differences in revenue or productivity following EHR conversion in this clinical setting. The EHR incentive payments did not offset costs of implementation.

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Year:  2015        PMID: 25880083     DOI: 10.1001/jamaophthalmol.2015.0457

Source DB:  PubMed          Journal:  JAMA Ophthalmol        ISSN: 2168-6165            Impact factor:   7.389


  12 in total

1.  A Two-Year Longitudinal Assessment of Ophthalmologists' Perceptions after Implementing an Electronic Health Record System.

Authors:  Joshua R Ehrlich; Monica Michelotti; Taylor S Blachley; Kai Zheng; Mick P Couper; Grant M Greenberg; Sharon Kileny; Greta L Branford; David A Hanauer; Jennifer S Weizer
Journal:  Appl Clin Inform       Date:  2016-10-12       Impact factor: 2.342

2.  Adoption of Electronic Health Records and Perceptions of Financial and Clinical Outcomes Among Ophthalmologists in the United States.

Authors:  Michele C Lim; Michael V Boland; Colin A McCannel; Arvind Saini; Michael F Chiang; K David Epley; Flora Lum
Journal:  JAMA Ophthalmol       Date:  2018-02-01       Impact factor: 7.389

3.  Electronic Health Records in Ophthalmology: Source and Method of Documentation.

Authors:  Bradley S Henriksen; Isaac H Goldstein; Adam Rule; Abigail E Huang; Haley Dusek; Austin Igelman; Michael F Chiang; Michelle R Hribar
Journal:  Am J Ophthalmol       Date:  2019-12-05       Impact factor: 5.258

4.  Time Requirements of Paper-Based Clinical Workflows and After-Hours Documentation in a Multispecialty Academic Ophthalmology Practice.

Authors:  Sally L Baxter; Helena E Gali; Abigail E Huang; Marlene Millen; Robert El-Kareh; Eric Nudleman; Shira L Robbins; Christopher W D Heichel; Andrew S Camp; Bobby S Korn; Jeffrey E Lee; Don O Kikkawa; Christopher A Longhurst; Michael F Chiang; Michelle R Hribar; Lucila Ohno-Machado
Journal:  Am J Ophthalmol       Date:  2019-03-22       Impact factor: 5.258

5.  Impact of Electronic Health Record Implementation on Ophthalmology Trainee Time Expenditures.

Authors:  Helena E Gali; Sally L Baxter; Lina Lander; Abigail E Huang; Marlene Millen; Robert El-Kareh; Eric Nudleman; Daniel L Chao; Shira L Robbins; Christopher W D Heichel; Andrew S Camp; Bobby S Korn; Jeffrey E Lee; Don O Kikkawa; Christopher A Longhurst; Michael F Chiang; Michelle R Hribar; Lucila Ohno-Machado
Journal:  J Acad Ophthalmol       Date:  2019-07

6.  Development and Validation of a Natural Language Processing Algorithm to Extract Descriptors of Microbial Keratitis From the Electronic Health Record.

Authors:  Maria A Woodward; Nenita Maganti; Leslie M Niziol; Sejal Amin; Andrew Hou; Karandeep Singh
Journal:  Cornea       Date:  2021-12-01       Impact factor: 2.651

7.  Improved efficiency of coding systems with health information technology.

Authors:  Jinhyung Lee; Jae-Young Choi
Journal:  Sci Rep       Date:  2021-05-13       Impact factor: 4.379

8.  Evaluation of Electronic Health Record Implementation in an Academic Oculoplastics Practice.

Authors:  Allison J Chen; Sally L Baxter; Helena E Gali; Christopher P Long; Daniel J Ozzello; Catherine Y Liu; Bobby S Korn; Don O Kikkawa
Journal:  Ophthalmic Plast Reconstr Surg       Date:  2020 May/Jun       Impact factor: 2.011

9.  The effect of electronic health record software design on resident documentation and compliance with evidence-based medicine.

Authors:  Yasaira Rodriguez Torres; Jordan Huang; Melanie Mihlstin; Mark S Juzych; Heidi Kromrei; Frank S Hwang
Journal:  PLoS One       Date:  2017-09-21       Impact factor: 3.240

10.  The effect of electronic health records adoption on patient visit volume at an academic ophthalmology department.

Authors:  Jocelyn G Lam; Bryan S Lee; Philip P Chen
Journal:  BMC Health Serv Res       Date:  2016-01-13       Impact factor: 2.655

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