Effective data-driven clinical workflows require HIT customization
In my last article, I provided an overview of how healthcare organizations could optimize their HIT systems as to deliver a more accurate and reliable understanding of their clinical and financial performance. In this article, we will dive deeper in order to describe the specific tools and system changes that organizations will need to make to achieve those benefits.
To recap, the last article emphasized how systems integration and improved data capture could help provider organizations risk stratify and engage their patients and understand the cost of care. Integrating information systems and increased data aggregation, however, may present a new set of challenges, particularly in interpreting the data and making it actionable for providers at the point of care.
This is where HIT customization is a crucial aspect of optimizations. Although many IT vendors may describe their solutions as ready “out of the box,” this is often not the case and the built-in analytic tools cannot deliver the insight providers need, when they need it. Effective and efficient data-driven workflows require some additional resources spent, mostly time, to maximize an EHR investment.