Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs
Open Source Electronic Medical Records (EMR) and Electronic Health Records (EHR) are widely used in healthcare institutions because it is mostly free and customizable. Generally, EMRs and EHRs are used in healthcare institutions because their adoption reduces costs and improves patient outcomes thro...
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| Format: | Article |
| Language: | English |
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IEEE
2020-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/9149860/ |
| _version_ | 1819132717307002880 |
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| author | Esther Asare Lili Wang Xianwen Fang |
| author_facet | Esther Asare Lili Wang Xianwen Fang |
| author_sort | Esther Asare |
| collection | DOAJ |
| description | Open Source Electronic Medical Records (EMR) and Electronic Health Records (EHR) are widely used in healthcare institutions because it is mostly free and customizable. Generally, EMRs and EHRs are used in healthcare institutions because their adoption reduces costs and improves patient outcomes through increased efficiency. During the adoption of EMRs/EHRs, whether open-source or closed-source, the number one concern of healthcare institutions is their workflow. When adopting any open-source software, there is a lot to consider, “Free does not mean you have to compromise on utility.” Process mining helps to discover and analyze the actual process executions of an information system (IS). In this paper, we use process mining to check the conformance of the workflow of Open-Source EMRs (workflow from event logs of an EMR) and the workflow of hospitals (workflow of hospitals based on domain knowledge). We modeled the workflow of hospital processes using business process modeling notation (BPMN) and converted it into a Petri net. Event log extracted from an Open-Source EMR (OpenEMR) was preprocessed for process conformance checking in ProM Framework. We check the conformance of log and model using alignment and replay. We display the results based on four metrics (fitness, precision, simplicity, and generalization). Then, we filter logs to check the conformance of Role-based access controls. Our conformance checking results showed that processes in Open-Source EMR align with the processes executed by hospitals. |
| first_indexed | 2024-12-22T09:35:50Z |
| format | Article |
| id | doaj.art-94abac1ac23b453294241642e7c7a73f |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-12-22T09:35:50Z |
| publishDate | 2020-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-94abac1ac23b453294241642e7c7a73f2022-12-21T18:30:50ZengIEEEIEEE Access2169-35362020-01-01813954613956610.1109/ACCESS.2020.30121479149860Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRsEsther Asare0https://orcid.org/0000-0002-0405-8088Lili Wang1https://orcid.org/0000-0002-2324-7490Xianwen Fang2Mathematics and Big Data, Anhui University of Science and Technology, Huainan, ChinaMathematics and Big Data, Anhui University of Science and Technology, Huainan, ChinaMathematics and Big Data, Anhui University of Science and Technology, Huainan, ChinaOpen Source Electronic Medical Records (EMR) and Electronic Health Records (EHR) are widely used in healthcare institutions because it is mostly free and customizable. Generally, EMRs and EHRs are used in healthcare institutions because their adoption reduces costs and improves patient outcomes through increased efficiency. During the adoption of EMRs/EHRs, whether open-source or closed-source, the number one concern of healthcare institutions is their workflow. When adopting any open-source software, there is a lot to consider, “Free does not mean you have to compromise on utility.” Process mining helps to discover and analyze the actual process executions of an information system (IS). In this paper, we use process mining to check the conformance of the workflow of Open-Source EMRs (workflow from event logs of an EMR) and the workflow of hospitals (workflow of hospitals based on domain knowledge). We modeled the workflow of hospital processes using business process modeling notation (BPMN) and converted it into a Petri net. Event log extracted from an Open-Source EMR (OpenEMR) was preprocessed for process conformance checking in ProM Framework. We check the conformance of log and model using alignment and replay. We display the results based on four metrics (fitness, precision, simplicity, and generalization). Then, we filter logs to check the conformance of Role-based access controls. Our conformance checking results showed that processes in Open-Source EMR align with the processes executed by hospitals.https://ieeexplore.ieee.org/document/9149860/Conformance checkingelectronic health record (EHR)electronic medical record (EMR)open-source software (OSS)process miningProM |
| spellingShingle | Esther Asare Lili Wang Xianwen Fang Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs IEEE Access Conformance checking electronic health record (EHR) electronic medical record (EMR) open-source software (OSS) process mining ProM |
| title | Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs |
| title_full | Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs |
| title_fullStr | Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs |
| title_full_unstemmed | Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs |
| title_short | Conformance Checking: Workflow of Hospitals and Workflow of Open-Source EMRs |
| title_sort | conformance checking workflow of hospitals and workflow of open source emrs |
| topic | Conformance checking electronic health record (EHR) electronic medical record (EMR) open-source software (OSS) process mining ProM |
| url | https://ieeexplore.ieee.org/document/9149860/ |
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