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Data Quality in the Healthcare Industry

This paper discusses the challenges faced by the healthcare industry as it continues to digitize health records, creating poorly connected pools of highly sensitive data. Lessons can be learned from the manufacturing industry on automating processes while reducing errors and increasing data quality.

Many healthcare companies still maintain independent records management systems for their patients with very little integration with other providers, insurance companies or medical facilities. There is no easy and consistent way for companies to share patient data efficiently, leading to significant duplication of data and fragmentation of the overall patient record set. This paper focuses on four specific areas for improvement outlined below:

  • Lack of integration across companies
  • Digitation of outdated processes
  • Data collection disconnect from patient care
  • Data without context

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