TY - GEN
T1 - Pattern-Based Statechart Modeling Approach for Medical Best Practice Guidelines - A Case Study
AU - Guo, Chunhui
AU - Fu, Zhicheng
AU - Ren, Shangping
AU - Jiang, Yu
AU - Rahmaniheris, Maryam
AU - Sha, Lui
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/11/10
Y1 - 2017/11/10
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85031923073&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85031923073&partnerID=8YFLogxK
U2 - 10.1109/CBMS.2017.14
DO - 10.1109/CBMS.2017.14
M3 - Conference contribution
AN - SCOPUS:85031923073
T3 - Proceedings - IEEE Symposium on Computer-Based Medical Systems
SP - 117
EP - 122
BT - Proceedings - 2017 IEEE 30th International Symposium on Computer-Based Medical Systems, CBMS 2017
A2 - Bamidis, Panagiotis D.
A2 - Konstantinidis, Stathis Th.
A2 - Rodrigues, Pedro Pereira
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 30th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2017
Y2 - 22 June 2017 through 24 June 2017
ER -