Process mining framework with time perspective for understanding acute care: a case study of AIS in hospitals.
Background: Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Besides, it is difficult to compare or conformance processe...
| Publicado en: | BMC Medical Informatics & Decision Making Vol. 21; no. 1; pp. 1 - 11 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
BioMed Central
12/1/2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=154204876&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 154204876 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14726947 1CI0 jtl: BMC Medical Informatics & Decision Making issn: 14726947 maglogo: N pubinfo: dt: 12/1/2021 vid: 21 iid: 1 pid: 24147 pub: BioMed Central artinfo: ui: 154204876 154204876 NLM34923989 154204876 10.1186/s12911-021-01725-1 NLM34923989 154204876 ppf: 1 ppct: 10 formats: tig: atl: Process mining framework with time perspective for understanding acute care: a case study of AIS in hospitals. aug: au: Pang, Jianfei Xu, Haifeng Ren, Jun Yang, Jun Li, Mei Lu, Dan Zhao, Dongsheng affil: Information Center, Academy of Military Medical Sciences, Beijing, China sug: subj: Cerebral Ischemia Stroke Therapy Retrospective Design Human Hospitals Comparative Studies Multicenter Studies Evaluation Research Validation Studies Scales ab: Background: Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack of effective tools. Besides, it is difficult to compare or conformance processes from different patient groups.Methods: To solve these problems, we proposed a novel process mining framework with time perspective, which integrates four steps: standard activity construction, data extraction and filtering, iterative model discovery, and performance analysis.Results: It can visualize the execution of actual clinical activities hierarchically, evaluate the timeliness and identify bottlenecks in the treatment process. We take the acute ischemic stroke as a case study, and retrospectively reviewed 420 patients' data from a large hospital. Then we discovered process models with timelines, and identified the main reasons for in-hospital delay.Conclusions: Experiment results demonstrate that the framework proposed could be a new way of drawing insights about hospitals' clinical process, to help clinical institutions increase work efficiency and improve medical service. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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