Developing a decision support system to meet nurse managers' information needs for effective resource management.
This article describes the development of a decision support system called CLASSICA, which assists nurse managers in financial management, resource allocation, activity planning, and quality control. CLASSICA integrates information about patient flow and activity, staffing, and the cost of nursing care at the nursing-unit level. The system provides assistance in planning activities, balancing the budget, and identifying barriers to unsatisfactory resource management. In addition, CLASSICA contains forecasting and simulation options to analyze the influence of factors that affect nursing costs. This article describes the system's development process steps to tailor it to the needs of nurse managers and their existing work practices. Nurse managers actively participated in defining their tasks and responsibilities; identified barriers and difficulties in managing these tasks; defined information needs, data input, and output and interface requirements; and identified expected benefits. Clear communication of project goals, strong user involvement, and purposeful benefit planning was used to achieve the goals for CLASSICA: (1) to provide essential information and decision support for effective financial management, resource allocation, activity planning, and staffing; (2) to improve nurse managers' competence in financial management and decision making; (3) to improve cost containment; and (4) to provide a helpful and easy to use tool for decision support.
Ruland
C M
CM
Institute of Nursing Science, University of Oslo, PO Box 1120, Blindern, 0317 Oslo, Norway. cornelia.ruland@sykepleievit.uio.no
D003660:Decision Support Systems, Management; D005376:Financial Management; D015276:Health Care Rationing; D006801:Humans; D016247:Information Storage and Retrieval; D017146:Models, Organizational; D009664:Norway; D009738:Nursing Service, Hospital / Q000458:organization & administration*; D010561:Personnel Staffing and Scheduling; D010934:Planning Techniques; D012985:Software Design; D013597:Systems Analysis