title: Dynamic patient data bases: the foundation of an integrated approach to outcome measures for the healthcare professionals.
abstract: In recent years there has been a tremendous need among healthcare professionals to assess the effectiveness, efficiency, and appropriateness of the patient care services being provided through criteria-based outcome and program evaluation. Although the need for a tool which could evaluate the effectiveness of patient care is widely recognized, such an undertaking has been severely limited due to the lack of any automated means to collect and analyze patient data on a routine, continuous basis within a clinical setting. We have developed and implemented at Mineral Springs Hospital, Banff, Alberta an integrated and automated hospital information system that not only continuously collects administrative, financial, and patient data, but also contains an intelligent component for automated outcome measure and program evaluation. The system collects various non-duplicated data elements from each routine work process within the facility on a continuous basis. Through the creation of a dynamic patient database, data is transformed into information--a powerful decision support tool. The system provides flexible user-defined reports in patient-specific resource utilization, direct and/or indirect specific financial costs, result reporting of each intervention, service provided and user-defined criteria-based outcome, and program evaluation. The system design incorporates expert rules, dynamic data entry forms, quantitative models, and user-defined access control. Using information derived from the dynamic common database, managers and front-line clinicians can easily evaluate and modify management decisions or careplans on a macro or micro level. An external review is planned to evaluate whether the system has helped the assessment of effectiveness, efficiency and appropriateness of healthcare services being provided at the hospital. The fundamental concept behind the system design is that the patient is the center of activity for data collection. The system provides the answers to the 5 W's (who, what, where, when, and why) together with intervention and service result reports. A dynamic common patient database is the center of the system and is accessible to all with proper authorization. Common data elements are collected from routine work flow without extra data entry and this information is subsequently shared. Data collection is a continuous process. We believe that every process is the outcome of another sub-process or event. The design of the dynamic patient database incorporates patient-specific costing and outcome evaluation, user-defined flexible data entry forms, user-defined access control, outcome evaluation rules and information semantic rules. Such a patient database would provide the flexibility needed to accommodate diverse methodologies to evaluate outcomes whether it they be medical, cost, access and/or other combination of measures. The system was developed on a PC-based Network technology, using FOXPRO (XBase) as the database development tool incorporating advanced technology such as distributed processing and fault tolerant computing. We chose PC-based technology because it is economical, having relatively low maintenance costs and requires no major dependency on vendors. The developed system produces patient-specific reports with many dimensions. The reports are user-defined. The system reports general data, CMG, RGN, LOS, Expected LOS, and other user-defined demographic data. Resource utilization, financial costs, and result reportings are produced together with rule-based outcome assessments of any type of measures, including, but not limited to, pre-set functional/health goals, user satisfaction, clinicianUs text or codified comments etc. It provides the framework for continually capturing data at a practical, work-flow level. The incorporation of a dynamic patient database as the driving forece of an integrated, rule-based administration, financial and patient data system will provdie the tools for healthcar
authors.affiliation: Intell-Health System, Edmonton, Alberta, Canada.
authors.forename: H K
authors.initials: HK
authors.lastname: Kwok
authors.forename: N
authors.initials: N
authors.lastname: Stevens
mesh_terms: D016208:Databases, Factual; D017063:Outcome Assessment, Health Care; D018511:Systems Integration