Mar 28
2019
Data Activation Will Take Doctors To the Future: Embedded Analytics and Actionable Insights
By Abhinav Shashank, CEO and co-founder, Innovaccer.
What makes Super Bowls, banking transactions, and online search results altogether more special?
As an ardent supporter, concerned customer, and curious observer, I keep witnessing all three of them in real time. I want the best experience every time that I am the end user, and so does everyone else. In this day and age, it shouldn’t be an unrealistic dream anyway. We should be able to know the score in real time and in the same way, our credit card transactions as and when they happen.
Why doesn’t my healthcare data show the complete picture?
Ironically, for healthcare organizations, real-time updates are not always available while making decisions that can potentially impact patients throughout their lives. Traditionally, many solutions were not even made to optimize the time that providers spend with their patients. Rather, they were only built to ingest data in electronic formats, evaluate macro-level performance trends, and in the best case scenario, provide top stakeholders with financial trends in a concise manner.
Though most organizations today have business intelligence (BI) infrastructures in place, most of the insights generated through them are only good for analyzing things in retrospect and do not really assist providers in the moment of care.
Activated data is the backbone of healthcare technology
It’s one thing to know what is wrong, it is another to have a way of addressing it. For instance, notes from the last appointment with a patient can only provide care teams with half of the story. Unless care providers have a holistic pool of information regarding the patient’s whereabouts, they cannot initiate personalized care plans or impart evidence-based care.
Healthcare leadership should look for activating data from different facilities in their bid to maximize the knowledge base of their providers. Once they have all the data points, they can begin to run customized analytics to support clinical decision-making.