Modelling health care processes for eliciting user requirements: a way to link a quality paradigm and clinical information system design.
Hospital information systems have to support quality improvement objectives. The design issues of health care information system can be classified into three categories: 1) time-oriented and event-labelled storage of patient data; 2) contextual support of decision-making; 3) capabilities for modular upgrading. The elicitation of the requirements has to meet users' needs in relation to both the quality (efficacy, safety) and the monitoring of all health care activities (traceability). Information analysts need methods to conceptualize clinical information systems that provide actors with individual benefits and guide behavioural changes. A methodology is proposed to elicit and structure users' requirements using a process-oriented analysis, and it is applied to the field of blood transfusion. An object-oriented data model of a process has been defined in order to identify its main components: activity, sub-process, resources, constrains, guidelines, parameters and indicators. Although some aspects of activity, such as "where", "what else", and "why" are poorly represented by the data model alone, this method of requirement elicitation fits the dynamic of data input for the process to be traced. A hierarchical representation of hospital activities has to be found for this approach to be generalised within the organisation, for the processes to be interrelated, and for their characteristics to be shared.
Staccini
P
P
Département d'Information Médicale, CHU Nice, France.
Joubert
M
M
Quaranta
J F
JF
Fieschi
D
D
Fieschi
M
M
D001803:Blood Transfusion / Q000706:statistics & numerical data; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D017598:Efficiency, Organizational; D006751:Hospital Information Systems; D006801:Humans; D008492:Medical Informatics Computing; D011785:Quality Assurance, Health Care / Q000706:statistics & numerical data; D013647:Task Performance and Analysis