Data Strategy, Web Application, and Recommendation Engine

Challenge

Hospital administrators and staff are under intense pressure to optimize performance within facilities while delivering best-in-class care to patients. This highly regulated industry has an abundance of data, but it’s often collected and managed in disparate systems by people with ranging levels of proficiency.

One opportunity to improve hospital efficiency is to optimize the scheduling of operating rooms, surgical procedures, and services.

We were approached by an advanced SaaS-based healthcare data analytics company that needed to use existing data feeds to improve the scheduling of operations for a hospital that used its systems. Because of the sensitive nature of EHR data, security was a priority.

Solution

Kopius delivered a web application including a scheduling recommendation engine. On the back-end, the web application relied on a Paas-based solution that analyzed trends using artificial intelligence.

First, we transformed and normalized the hospital’s robust pipeline of raw and structured EHR data. Using that data, we developed a recommendation engine that prompts hospital staff to take actions based on key data indicators.

Then we designed and developed a custom web-app to present and manipulate data, including the scheduling recommendations.

Results

The solution provided hospital staff with a decision support tool capable of improving room scheduling and revealed trends and opportunities for efficiency over time. These improvements resulted in improved patient care and hospital efficiency.

*Kopius performed this work under its previously known business name, Valence.