Secondary use of electronic health record data for clinical workflow analysis
| Autor: | Winston Chamberlain, Leah G. Reznick, Michelle R. Hribar, Mansi Parikh, Isaac H. Goldstein, Lorinna Lombardi, Sarah Read-Brown, Michael F. Chiang |
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| Rok vydání: | 2017 |
| Předmět: |
Computer science
Health Informatics Sample (statistics) Research and Applications computer.software_genre Ambulatory Care Facilities Workflow 03 medical and health sciences 0302 clinical medicine Resource (project management) Workflow analysis Electronic health record Data file Correspondence Outpatient clinic Electronic Health Records Humans Computer Simulation 030212 general & internal medicine Information retrieval Database Ophthalmology 030221 ophthalmology & optometry Timestamp computer Algorithms |
| Zdroj: | J Am Med Inform Assoc |
| ISSN: | 1527-974X |
| Popis: | Objective Outpatient clinics lack guidance for tackling modern efficiency and productivity demands. Workflow studies require large amounts of timing data that are prohibitively expensive to collect through observation or tracking devices. Electronic health records (EHRs) contain a vast amount of timing data – timestamps collected during regular use – that can be mapped to workflow steps. This study validates using EHR timestamp data to predict outpatient ophthalmology clinic workflow timings at Oregon Health and Science University and demonstrates their usefulness in 3 different studies. Materials and Methods Four outpatient ophthalmology clinics were observed to determine their workflows and to time each workflow step. EHR timestamps were mapped to the workflow steps and validated against the observed timings. Results The EHR timestamp analysis produced times that were within 3 min of the observed times for >80% of the appointments. EHR use patterns affected the accuracy of using EHR timestamps to predict workflow times. Discussion EHR timestamps provided a reasonable approximation of workflow and can be used for workflow studies. They can be used to create simulation models, analyze EHR use, and quantify the impact of trainees on workflow. Conclusion The secondary use of EHR timestamp data is a valuable resource for clinical workflow studies. Sample timestamp data files and algorithms for processing them are provided and can be used as a template for more studies in other clinical specialties and settings. |
| Databáze: | OpenAIRE |
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