Data quality is a big deal for healthcare organizations. It is not just about FDA compliance or avoiding fines. The quality of data has direct and indirect impacts on running the business, whether it's revenue cycle management, patient satisfaction, physician referral/referral-to-payment splits, fraud detection using claims data, etc. Healthcare organizations are increasingly investing in technology to improve the quality of data in their systems. In this article, we debunk some common myths and misconceptions about healthcare data quality and offer practical solutions for improving it.
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ROI’s Insights Blog is intended for IT and Operational Leaders within our client organizations across the country. Each article is written with this audience in mind, to shed light on process and technology topics related to ERP (Finance, Supply Management, HCM, and IT) and HIS Clinical & Revenue Cycle areas. Each entry will be categorized by function and technical area, to aid in search and navigation.
The authors of this content include ROI’s experienced Workstream Leaders & Consultants who possess 10+ years of functional and technical expertise. Each post contains a brief profile summary of the writer for future reference. Thank you for your interest in this blog! https://roihs.com
Recent Articles
6 Myths of Data Quality in Healthcare (and What’s Really True)
Oct 9, 2021 4:53:28 PM / by Jeff Tennant, VP of HIS Strategic Services posted in EHR, Healthcare CxO Topics, CIO, Business Intelligence