“In an era in which the U.S. is projected to spend nearly $19.9 billion on EHRs by the end of 2024, health systems cannot afford to overlook the importance of data quality. However, many health systems are unprepared and under budgeted for the extensive work required to achieve data accuracy.”
Why is Data Quality Important?
In the rapidly evolving landscape of healthcare technology, the transition to new Electronic Health Records (EHR) systems presents both opportunities and challenges for healthcare organizations. A recent article from Health Data Management emphasizes the crucial role that data quality plays in these transitions, highlighting its impact on patient safety, clinical decision-making, and overall healthcare outcomes.
In this insightful contribution to Health Data Management, President of e4health, Jim Hennessy illuminates five key areas in which healthcare provider organizations must invest to enhance data quality and ensure a smoother transition during their EHR implementations.
Better Patient Data Quality: 5 Crucial Components
According to Hennessy, there are five components for health IT leaders to consider when building a comprehensive patient data quality management plan:
Data strategy and planning
Patient identity management
Data migration and validation
Document management
Manual data abstraction
Jim Hennessy’s insights reinforce the crucial role of data quality in EHR transitions and overall healthcare delivery. As Hennessy shows in the article, e4health’s mission is to provide innovative healthcare solutions that prioritize data accuracy, integrity, and improved patient outcomes. As healthcare organizations navigate the complexities of EHR transitions, maintaining a relentless focus on data quality remains paramount for success.
Read the article here to learn more: The crucial role of data quality during EHR transitions – 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.