Healthcare Interfacing Insights
What Is Your Data Integrity Model?
Overview
Demand for healthcare interfaces is rising, and there is a rapid pace in which healthcare entities are working to connect various internal applications and external resources. In a hospital environment, connecting the Electronic Health Record (EHR) to the Radiology Information System (RIS) to the Laboratory Information System (LIS) etc. is an example of what is occurring. Added to this mix is an external laboratory connecting their LIS to a hospital’s LIS; consequently, the connections that are occurring are going beyond the four walls of a healthcare entity.
HL7 is the standard method to define the clinical messages sent between the applications and the institutions. With the growing number of interfaces and connections to different healthcare entities, instilling solid data integrity practices throughout the process is critical.
Why is this critical? Without the right data integrity model, the confidence in the deployed interfaces will be low, and the support costs will be high. Clinical data not received properly, or received in an untimely manner, will quickly erode the healthcare professional’s acceptance of the implemented applications and raise questions about the quality of the information.
Clinical Data Integrity Model
There are several aspects to ensuring a robust data integrity model, and one way to look at it is based on two dimensions – Interface Testing and Interface Monitoring. Interface Testing is the practice of ensuring that the interfaces being developed are of the highest quality prior to deployment.
Interface Monitoring is the practice of ensuring that the interfaces continue to operate with a high degree of integrity after deployment. Together, these two practices ensure the highest integrity for the connected healthcare environment.
Data Integrity Model Characteristics
See data table in full PDF report.
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