Health Care Database and Workflow in Clinical and IT Resources

Health Care Database and Workflow in Clinical and IT Resources

Health care requires computerized assistance to make evidence-based medicine increasingly possible. For instance, Electronic patient records (EPRs) can be based on well-established clinical standards to offer access to health data and align with Clinical Decision Support (CDSS). Secondary use of patient data, including data mining, may improve medical knowledge. This paper discusses how the logical understanding of the database contributes to the development of clinical resources and how workflows improve IT services in health care.

Health care databases are often developed to assess healthcare quality for a specific disease or health care system. These databases have become a crucial component in the global understanding and advancement of critical care. Medical practitioners, mainly through epidemiological studies, use primary administrative data to improve their knowledge of specific diseases (Martin, 2006). Furthermore, the creation of Simplified Acute Physiology and the APACHE score allowed the identification of risk-adjusted results for critical patients. Therefore, improving both health care effectiveness and efficiency.

The workflow involves automating the health care process to facilitate the transition of information and duties between medical professionals. The implementation of modern information technology in clinical practice is among the primary reasons why workflows are paramount to current medical practitioners. Workflow automates complex administrative procedures and enables healthcare staff to have room for real, potentially life-saving clinical processes (Good et al., 2004). Workflow management systems also manage differences that naturally occur in health services through interactions with several other workflow systems and environmental variables, thereby enhancing productivity.

Database understanding and workflow developments improve healthcare. The database holds data that can be useful in analyzing future disease patterns and healthcare services. Workflow analysis helps hospitals and health centers identify areas in which IT solutions can improve service quality.


Good, M., Cendan, J., Hartis, K., Lugrand, S., & Daly, T. (2004). Interdisciplinary Workflow

Assessment and Redesign Significantly Decreases Operating Room Turnover

Time. Anesthesiology101, A1372.

Martin, G. (2006). Epidemiology studies in critical care. Critical Care10(2), 1-2