📊 Data Quality in Healthcare: A Critical Component for EHR Success
As healthcare organizations continue to implement and optimize EHR systems, ensuring data quality has never been more crucial. In the second part of a three-part Health Data Management series on patient data quality, Jim Hennessy, President, e4health provides fresh perspectives and practical approaches to enhance your data management strategies.
Key highlights include:
Leveraging Lean techniques for data quality improvement
Developing a robust data strategy and planning process
Assessing legacy systems for data migration
Establishing effective governance and resource planning
Read the article here to learn more: How to plan for better data quality in healthcare – Health Data Management
Change Event? Think e4health
Even the most prepared organizations encounter challenges when handling legacy system data migration as part of an EHR implementation, M&A activity, or while sunsetting a retired system.
When these change events occur, only e4health possesses the unique combination of HIM and IT subject matter experts and solutions to protect data integrity. From data strategy and data migration to data validation and eMPI remediation, we ensure patient data is transferred securely, completely, and accurately to inspire full confidence in patient data accuracy.
About Jim Hennessy
Jim Hennessy possesses over 35 years of management experience within the business technology field, with 30 focused in the healthcare IT field. He possesses a clear understanding of how to effectively position IT and how to drive transformation initiatives to meet the business requirements of healthcare organizations. He has served in numerous executive level roles including Chief Executive Officer, Chief Operating Officer, Chief Information Officer, Chief Technology Officer, and various senior manager/director leadership positions.