Pattern-Based Statechart Modeling Approach for Medical Best Practice Guidelines - A Case Study
| Autor: | Lui Sha, Maryam Rahmaniheris, Shangping Ren, Chunhui Guo, Yu Jiang, Zhicheng Fu |
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| Rok vydání: | 2017 |
| Předmět: |
0209 industrial biotechnology
Medical staff Computer science business.industry Best practice Foundation (evidence) 02 engineering and technology 030204 cardiovascular system & hematology Patient care 03 medical and health sciences 020901 industrial engineering & automation 0302 clinical medicine Unified Modeling Language Software engineering business Formal verification computer Simulation TRACE (psycholinguistics) computer.programming_language |
| Zdroj: | CBMS |
| DOI: | 10.1109/cbms.2017.14 |
| Popis: | Improving effectiveness and safety of patient care is an ultimate objective for medical cyber-physical systems. Many medical best practice guidelines exist in the format of hospital handbooks which are often lengthy and difficult for medical staff to remember and apply clinically. Statechart is an effective tool to model medical guidelines and enables clinical validation with medical staffs. However, some advanced statechart elements could result in high cost, such as low understandability, high difficulty in clinical validation, formal verification, and failure trace back. The paper presents a pattern-based statechart modeling approach for medical best practice guidelines, i.e., model medical guidelines with basic statechart elements and model patterns which are built upon these basic elements. For practical use, we implement the proposed approach based on open-source Yakindu statecharts. We also use a simplified cardiac arrest scenario provided to our team by Carle Foundation Hospital as a case study to validate the proposed approach. |
| Databáze: | OpenAIRE |
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