Supporting the systematic assessment of clinical processes: the MedFlow method.
OBJECTIVE
Healthcare is characterized by complex cooperation between highly specialized healthcare departments. This often leads to inefficient clinical processes. In order to improve these processes, a systematic assessment method is needed. Such methods are still missing. The objective of this paper is to propose and evaluate a method to support the systematic and semi-automatic assessment of clinical processes, with special focus on the quality of information logistics.


METHODS
Criteria for the quality of information logistics were collected based on literature research and system analysis. Appropriate quality checks for these criteria were developed. An extended process modelling notation was developed. The method was evaluated in a pilot study.


RESULTS
An own model integrates four sub-models with each concentrating on distinct process aspects (i.e., control flow, data flow, tool usage, organizational information). In order to assess the quality of a process, selected process details are combined in "views". Weak points are then detected by applying specific rule-sets on these views. Each rule-set represents a pattern of critical cross-points which are searched for in the appropriate view-matrix. The MedFlow method was evaluated in a first pilot study in radiological departments--applying quality checks for the detection of e.g. media cracks or testing the transcription of information objects.


CONCLUSIONS
The MedFlow method is best used to assess clinical processes regarding their control flow and information handling. The latter directly influences the quality of communication and thus the quality of whole processes. However, this must be evaluated in further studies.
Saboor
S
S
Institute for Health Information Systems, University for Health Sciences, Medical Informatics and, Technology (UMIT), Eduard-Wallnoefer-Zentrum 1, 6060 Hall in Tyrol, Austria. Samrend.Saboor@umit.at
Chimiak-Opoka
J
J
Ammenwerth
E
E
D001317:Austria; D003142:Communication; D019295:Computational Biology / Q000379:methods* / Q000458:organization & administration; D003299:Cooperative Behavior; D006801:Humans; D019451:Information Management; D007256:Information Systems / Q000458:organization & administration*; D017146:Models, Organizational; D009934:Organization and Administration; D010865:Pilot Projects; D017064:Process Assessment, Health Care; D012984:Software