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Articles tagged with "data management"

How Decentralized Technology May Revolutionize Data in Healthcare

Susan Bernstein  |  December 5, 2018

Rheumatologists may benefit from the decentralized technology that makes cryptocurrency possible: blockchain. According to Anh L. Ngo, MD, MBA, using blockchain in healthcare may increase payment and purchasing efficiency and revolutionize EHR management…

Avoid Errors: Insights into Ensuring Accurate Data in EHRs

Richard Quinn  |  May 22, 2018

With the increasing use of electronic health records and quality measure reporting requirements, data collection has become crucial for rheumatologists. But how do clinicians prevent human error and ensure data accuracy?

Cyber Safety in the HIPAA Age

Richard Quinn  |  January 6, 2017

Ready for a cyber checkup? Auditing your health IT policies, safeguarding your hardware and educating your staff on the importance of data security should be routine, according to industry experts…

Designate a Data Expert for Your Practice

Richard Quinn  |  October 21, 2016

With Medicare and insurers now incentivizing physicians for collecting and reporting data, rheumatologists need at least a minimum understanding of the gigabytes of information flowing through their practices. Actually, every medical practice should have at least one person with some informatics expertise, according to computer-programmer-turned-rheumatologist Jeffrey Curtis, MD, MS, MPH. “Physicians need to be more…

I Have the Data—Now What?

From the College  |  April 1, 2010

Rheumatologists practicing in the current healthcare environment are experiencing unprecedented information flow, data management issues, and a rise in quality designations and pay-for-performance incentive programs. There is increasing pressure on rheumatologists to document or capture treatment concordance with guideline recommendations and best practices and to monitor gaps in care and patient outcomes. Unfortunately, some quality programs are not considered clinically meaningful, and even those that are often bring administrative burdens related to reporting, data aggregation, and analysis.

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