4 Emerging Trends in Patient Identification
How developing technologies are shaping patient matching efforts today and into the future.
The issue of inadequate patient matching and duplicate records has grown increasingly complex as more data is generated and more applications are introduced into the healthcare environment. As data sharing matures and the industry pivots toward value, an enterprise view of patient information is essential for informed clinical-decision making, effective episodic care, and a seamless patient-provider experience during every encounter.
Poor patient identification not only places patient safety and an organization’s reputation at risk but serves as a sizeable barrier to interoperability while contributing to needless waste and inefficiencies. The financial impact is substantial—duplicate records cost the average hospital $1.5 million and the US healthcare system over $6 billion dollars annually.
Today’s complex health IT environment demands that organizations engage in more comprehensive patient matching approaches. While EHRs have become commonplace, the disjointed, competitive nature of IT systems contributes to a proliferation of incomplete and inaccurate demographic information. NextGate sees four emerging innovations that can extend one’s enterprise master patient index (EMPI) platform to help further diminish record duplication rates and reduce the need for manual review and remediation.