Is an Automated EHR Data Conversion Right for You?

EHR data conversion is the process of taking data from a legacy electronic health record system and transferring it to a new system.EHR data conversion can either be performed manually or through an automated process. Manual data conversion carries a significant risk of data manipulation. As a result, many healthcare organizations choose automated EHR data conversion when working with large sets of data. Continue reading “Is an Automated EHR Data Conversion Right for You?”

What About Your Legacy Data?

Over the last ten years, provider adoption of Electronic Health Records (EHRs) has grown significantly. Healthcare providers are expected to document encounters with patients to ensure a record of crucial information. However, just a decade ago around 90% of physicians still updated their patient records by hand. By the end of 2014, the tide had changed, and 83% of physicians reported they had adopted EHR systems. The combination of government incentives, advances in technology and improved outcomes and operations has fueled this growth.

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5 Reasons Data is a Priority During a Merger or Acquisition

The last two decades have seen significant consolidation among health systems, hospitals, and private medical practices. The Affordable Care Act (ACA) encouraged mergers and acquisitions in order to decrease healthcare spending by eliminating duplication, standardizing treatment protocols, and incentivizing better utilization. As a result, there has been a surge of Merger and Acquisition (M&A) activity in healthcare since the ACA became law.

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4 Questions to Ask Your EHR Data Conversion Vendor

Health systems and medical practices often spend months researching, qualifying, selecting, and implementing an EHR/EMR software. Each system and practice has specific requirements. However, even after the work of selecting the best EHR software for your team, you still face the challenge of how to import legacy data into your new EHR. To accomplish this, data from the old system must be extracted, transformed to fit the new system requirements and loaded into the new system, under a process commonly referred to as Extract, Transform, Load (ETL).

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81% of Healthcare Organizations Surveyed Report a Cyber Security Breach

By Ben Nolen, Vice President of Technology, Keystone IT

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