HESA 5335 Lecture 2: Health Care Data
Document Summary
Information is processed data: knowledge is a "combination of rules, relationships, ideas and experience, one person"s data may be another person"s information. Information is a valuable asset at all levels of health care organizations. Same data may provide different information to different users. Interoperable across systems: confidential and secure authentication and accountability must be provided, weiskopf and weng data quality model, completeness, correctness, concordance, plausibility, currency. Systematic - errors that can be attributed to a flaw or discrepancy in adherence to standard operating procedures or systems: caused by lack of training, random - errors result from poor handwriting or transcription errors, caused by carelessness. Institute real-time quality checking: design data elements to avoid errors, build human capacity, etc, three main categories, data error prevention, e. g. Develop a data collection protocol: data error detection, e. g. Perform data quality audits: data quality improvement, e. g. Privacy rule: relates to physical or mental health, provision of or payment for health care, privacy rule components.