Huge amounts of data are used to evaluate health outcomes in healthcare in an organizational environment and multiples of it are used at the national level. The patient information from electronic health record (EHR), charts, etc., in the form of electronic protected health information (ePHI) is very useful when it comes evaluation of health outcomes for any kind of study. This data is used with transparency. Healthcare outcomes give the impact of healthcare service provided, it shows whether the patient's condition got better or worse or if there were any side effects of the service. For evaluating health outcomes, the EHR data is used after all the identifiers are stripped out. Then the patient information ceases to be PHI and HIPPA's privacy restrictions are no longer applicable. For example for a study on the rate of surgical complications at the rural hospital, the patient data of surgical patients for 2 years were analyzed after removing the identifiers. This showed that 30% of patients had surgical complications. When the same study was conducted at the national level in urban areas, only 10% of patients were found to have surgical complications. So more positive outcomes were seen in urban healthcare settings at the national level. Individual data from many patients are pooled and linked. Then researchers will search for specific patterns of data with the help of data analytics. A data-centric approach is used and data is pooled only after ensuring that relevant and accurate data is used. The data used is also checked for completeness and timeliness.
References:
1. https://www.hipaajournal.com/what-is-considered-protected-health-information-under-hipaa/
2. https://www.healthcatalyst.com/Improving-Outcomes-Through-Early-Detection-And-Action
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