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The Result

Healthcare provider data is the ultimate moving target. An estimated 2% of provider data changes each month. Providers relocate, departments centralize and decentralize within organizations, new businesses start, and other businesses cease operations. Accurate data is difficult to collect. It's even harder to maintain. Resources to manage it are scarce. Identifying and fixing errors puts a drain on your business. Think about the time and money you'll save when you work with better data from the start. The better your provider data, the better your provider file, and the more successful your business will be.

 


WANT BETTER RESULTS?
Start using better data.

For over 20 years, Medical Quest has designed and delivered a highly accurate provider database, maintained specifically to meet the demanding needs of the ever-changing Health Care Delivery system. At the core of our business is the real-time Medical Quest Trusted Data. Professional providers, service providers, hospitals, facilities and health plans are included in regional databases that are maintained at 90% accuracy, a level of accuracy unheard of with most current databases.

 

What we do

Simply put, we employ a three-step process to acquire and maintain our database.

  1. We start with real-world data, blending data sources, sophisticated analytics and health care expertise. We keep data current by continually updating provider information and the science used to create it. And we use comprehensive data mining to deliver a wide array of information about all types of healthcare providers, practitioners and facilities.

  2. We then employ a proprietary and proven data cleansing process to produce the Medical Quest Data Quality Index (DQI). The DQI helps us focus on the high risk and high value data attributes, making our processes many times more efficient than traditional provider data cleansing efforts. This yields more real-time and more accurate provider information. A large number of private and public data sources, analyzed with sophisticated matching and cleansing algorithms and verified by humans allows us to be the market leader in health care reference data.

  3. The third and perhaps most important phase, is the more difficult process of continuous data validation. This phase is often referred to as “data quality control” and requires continual sweeps to ensure that invalid data has not slipped through the data ingest process to compromise the overall DQI. Our customer’s data set is audited against the Medical Quest data set whose accuracy is achieved from cross validation amongst a variety of healthcare reference data sources and through direct provider contact, with human touch as the final validation.