Abstract
Clinical environment is very complex, and flexible and adaptive service improvement is crucial in maintaining quality of medical care. Thus, incremental update of software service in a hospital information system (HIS) and its evaluation is important. This paper introduces an active mining process for development of a an embedded software in which service logs stored in HIS are used to calculate the test statistics for evaluation on the effect of introduction of a new alarming service for clinical practice. are used to measure the differences The results show that proposed method is useful to evaluate the system performance in a real clinical environment.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
