The scale of healthcare data has grown tremendously in recent years, increasing the need to present that data in ways that are more understandable and insightful.
When a professional practice roundtable at AHIMA’s 2017 Convention discussed the latest strategies for addressing patient matching with a full house, three key themes emerged during the session.
Looking back, I know I have taken a lot of twists and turns in my journey to becoming a health informatics professional. I often wonder how exactly I got here.
When we talk about healthcare data, the focus is primarily on data analytics: usage, analysis, and predictive modeling to drive decisions and actions. We need more emphasis on data integrity, but how do we make it happen?
The ever-changing environment of healthcare requires a lifelong learning strategy for HIM professionals. Realigning your goals and objectives to direct some self-study and continuing education efforts in the data analytics direction can make a big difference.
As the value-based care model is moving towards paying for performance, there must be standards for improved quality of care and quantifying the rate of reduction in healthcare costs.