Literature DB >> 30879188

Provider Access to Legacy Electronic Anesthesia Records Following Implementation of an Electronic Health Record System.

Richard H Epstein1,2, Franklin Dexter3, Eric S Schwenk4.   

Abstract

Many hospitals are in the process of replacing their legacy anesthesia information management system (AIMS) with an Electronic Health Record (EHR) system, within which the AIMS is integrated. Using the legacy AIMS security access log table, we studied the extent to which anesthesia providers were accessing historical anesthesia records (January 2006 - March 2017) following implementation of an EHR (April 2017). Statistical analysis was by segmented regression. At the time of implementation of the EHR, in 44.8% (SE = 0.3%) of cases, there was a prior anesthetic record for the patient that had been documented in the legacy AIMS. Following EHR implementation, the mean number of preoperative clinical views of all prior anesthetic records divided by the total number of cases performed decreased to 2.3% (0.3%) from the baseline of 25.1% (0.8%). The estimated ratio of the 2 means was 0.18 (95% CI 0.11 to 0.31, P < 0.00001). For views of unique records, the decrease was to 2.2% (0.3%) from the baseline of 18.3% (0.5%). The estimated ratio was 0.23 (95% CI 0.15 to 0.35, P < 0.00001). These results show that, following conversion to an integrated EHR, providing access to historical anesthesia records by maintaining the legacy AIMS is not an effective strategy to promote review of such records as part of the preoperative evaluation process. Because such records provide important information for many patients, providing linked access to such records within the EHR as part of the patient encounter may be a more effective approach.

Entities:  

Keywords:  Information technology; Medical record systems, computerized; Process assessment (health care)

Mesh:

Year:  2019        PMID: 30879188     DOI: 10.1007/s10916-019-1232-6

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  3 in total

1.  Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.

Authors:  Adam Rule; Michael F Chiang; Michelle R Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

2.  Frequent and diverse use of electronic health records in the United States: A trend analysis of national surveys.

Authors:  Han Zheng; Shaohai Jiang
Journal:  Digit Health       Date:  2022-07-06

3.  Transitions from One Electronic Health Record to Another: Challenges, Pitfalls, and Recommendations.

Authors:  Chunya Huang; Ross Koppel; John D McGreevey; Catherine K Craven; Richard Schreiber
Journal:  Appl Clin Inform       Date:  2020-11-11       Impact factor: 2.342

  3 in total

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