Perioperative Process Improvement
Data collection and analysis is the cornerstone and first step toward process improvement. Through integration of multisource data and delivery of processed data to multiple users in a real-time, near real-time, or periodic fashion, an AIMS has several distinct advantages over traditional paper-based record-keeping systems. For example, data collection can be handled in a manual process in which codification occurs by the user at the time of entry, or in an automated fashion in which data are collected and codified by the electronic system without user intervention. Improving the accuracy and completeness of data collection produces improvements in the quality and quantity of data available for subsequent analysis. Improvements have been shown in detection of adverse events, in which the rates of reporting are notoriously low when the data are self-reported. 1 Data processing can also be immediate, yielding potentially important on-the-fly decision-support information. These data can then be relayed to clinicians in the field via alphanumeric pagers, wall-mounted computer displays, or handheld computers. Alternately, data can be queued for offline multiphase review and analysis. Reports can be produced in a standardized format through monthly reports delivered to decision makers, or they can be produced via database queries or on-demand data aggregation at the level of granularity that is required.
KeywordsAnesthesia Information Management System Quality Assurance Process Electronic Data System Surgical Schedule Online Analytical Processing
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