Mobile Decision Support System: Design and Implementation Wojtek Michalowski School of Management.

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Presentation transcript:

Mobile Decision Support System: Design and Implementation Wojtek Michalowski School of Management University of Ottawa Roman Slowinski, Szymon Wilk Laboratory of IDSS Poznan University of Technology

2 Outline New DSS and its architecture; Thin client and fat server; MET: new DSS in clinical environment; Conclusions.

3 New DSS Intelligence, mobility, and soft- computing Support of problem understanding and formulation over optimization; Support of data gathering for future use; Support of collaborative decision making in teams; Support irrespectively of decision maker’s location.

4 New DSS architecture IntelligenceDesign Choice Classical DSS New DSS Thin clientFat server Fat server + thin mobile client Designed to support entire decision making process; Designed to conform to new decision making practices and environments.

5 Thin client and fat server Thin client Identifies problem directly in the field and provides limited support; Fat server Generates feasible alternatives; Applies model to evaluate the alternatives; Supports selection. Server Full support capability: Data managment Intense support Client Limited support capability: Data collection Data filtering Initial support

6 Thin client: requirements and expectations Client should be always accessible and mobile; Client should be handy and easy to use – User interface should be intuitive with minimal cognitive requirements; – Data entry should be structured and follow well established patterns; – Amount of information required to obtain initial support should be minimized.

7 Example of a new DSS MET = Mobile Emergency Triage – Supports emergency triage of acute pain conditions in childhood; – Developed and designed in collaborations with physicians from Children’s Hospital of Eastern Ontario in Ottawa.

8 MET architecture MET Decision Algorithm and Application Server Data analysis (generating rules, establishing relevant symptoms and signs) Data manipulation (adding, deleting, editing) MET Communication Server Managing users and applications (managing users’ accounts, installing and updating applications) Data synchronization (uploading, downloading, merging) MET Database Server MET Handheld(Thin) Client Basic support functions (recommending triage ) Data gathering and manipulation (storing and updating collected data in local database) Data exchange (upload and download of data with other clients) Local communication (cradle or IrDA port) Remote communication (modem, Internet, wireless networks) Hospital System: Patient Data Repository

9 MET thin client: a handheld A clinical support system “in a pocket” Local database Decision model Evaluation/Solver Triage support Data exchange

10 Thin client structured interface: collecting patient information

11 Writing (structured) comments

12 Interface organization

13 Supporting problem identification

14 Conclusions New DSS design paradigm allowing for decoupling of the support functions; Support on demand of data capture with limited problem evaluation capability; Emphasize on problem identification (triage) instead of a solution (diagnosis); Seamless model validation and update.