Concerns about quality of care and escalating costs are driving fundamental change across the healthcare industry. At a minimum, there is pressure to adopt electronic medical records (EMRs), in order to increase efficiency and improve outcomes. But as we move toward "patient-centered healthcare," the goal shifts to multiple providers seamlessly sharing up-to-the-second information through a Master Patient Index (MPI) in order to deliver optimized services across the continuum of care, enhancing outcomes and controlling costs.
Today, the healthcare industry is in a state of flux. Many providers and organizations continue to prefer handwritten records at the point of service, with backoffice operations to capture and convert that information. Error rates can be high. Integration, even with the core clinical and business systems within a single provider, can be difficult. With varying standards and systems, integration across multiple providers is that much more difficult. And, of course, government regulations regarding the privacy of patient data are a continuing concern.
For individual healthcare organizations today, a well-designed data quality solution can help reduce errors, increasing efficiency and improving cash flow through more accurate billing and payment. As organizations move toward the patient-centered healthcare or Clinical Integration model, data quality is a critical first step and a master data management solution will be a necessary component for providing the kind of seamless information sharing that will support improved outcomes and cost control.
Providers are under pressure to move to a more patient-centered approach to healthcare. The goal is to improve outcomes by making accurate, up-to-date information instantly available to primary care givers, specialists and others across the continuum of care. This will have the added benefit of helping to control costs through improved efficiency. A major concern with this approach continues to be ensuring patient privacy. Some specific applications include:
- Knowing the patient
- Master Patient Index (MPI)
- Electronic Medical Records (EMR)
- Patient Privacy
- Risk Management and Compliance
- Fraud Detection and Prevention
Your Real World Example
One of the first and largest hospitals in the United States needed to migrate more than 400,000 patient records to a new, up-to-date system. Using Ataccama Data Quality Center and DQ Issue Tracker, the hospital was able to identify and remove duplicate and low-quality records before they entered the new system. This has positioned the hospital to establish a master data management approach and to create a Master Patient Index (MPI) by integrating five source systems.
- Manual merge removes duplicate records before migration
- DQ Issue Tracker used to assign problematic records to experienced staff and track progress
- Established continuous data quality tracking and improvement
- Provides foundation for MPI implementation
- Hospital handles more than 60,000 inpatient and 500,000 outpatient visits each year
- More than 400,000 records migrated to new system
- Achieved cleansed records and shortened project time from 18 mos to 3 mos