Healthcare generates a vast amount of data every second - an estimated 30% of the world’s data. This number is expected to reach 36% by 2025.1
In addition, each year in the U.S., 27 million people move, 50,000 name changes are requested, and an estimated 21 million annual employment changes are reported.2 With such a large volume of rapidly changing data, it’s no surprise that healthcare organizations face data management challenges.
Much of today’s patient and consumer data is housed across disparate hospital, clinic, and laboratory systems and contains missing, incorrect, and duplicate information. Further, valuable real-world data, like a person’s access to transportation or healthy food, is often missing and lacks connectivity to traditional healthcare data sets. Each of these data sets may have different identifiers for each patient, making it difficult to link them together for a complete patient health record.
Amid rapid digital transformation, managing ever-increasing volumes of data is more challenging than ever. What served as a go-to solution in the past may jeopardize data integrity and security, lack scalability, and limit the ability to make data-driven decisions.
A whole person approach to care requires a “data-first” strategy that gets to the heart managing the many aspects of a person’s healthcare journey. This white paper explores the data management challenges plaguing many healthcare organizations and offers a pragmatic approach to start to connect the dots to better for whole person care.
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— Jonathan Shannon, Associate Vice President of Healthcare Strategy, LexisNexis Risk Solutions