Overcoming Data Normalization Challenges
The rapid rise of healthcare IT (HIT) offers the potential for boosting the quality of patient care and streamlining the delivery of services.
Electronic health record (EHR) systems free clinical information from paper charts and file rooms. Computerized Physician Order Entry and e-prescribing systems automate manual tasks and reduce the risk of medication errors. Other applications target the payer side of the healthcare environment. However, as more systems are created to improve patient outcomes and bolster operational efficiencies, it will become increasingly important for health care organizations to leverage the information contained in various HIT systems.
Communication is also crucial to emerging healthcare business and care delivery models. Accountable care organizations (ACOs) and patient-centered medical homes (PCMHs) depend on the ability to share data among primary care physicians, specialists, hospitals, and payers. Health information exchanges (HIEs), whether localized or regional, need to move claims and clinical data among the participating parties. Population health management, a component of the nation’s healthcare reform initiative, calls for a robust data analysis infrastructure that can pull in patient data from myriad healthcare systems.
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