Hospital Optimization

Introduction

As cost of healthcare goes up and hospitals are pushed to improving their margins, it is critical to optimize resources and processes, move medications and medical supplies through their hospitals in the most cost effective manner, and provide timely and effective treatment. Many hospitals having for years relied on manual processes are now looking to Business Analytics to help them decide on the best strategy.

In addition to the efficiency concerns, the other goal of most hospitals today is to become more patient centric. This can be achieved by improving patient satisfaction through faster and efficient processes as well as understanding physician profiles and patient preferences.

Methods used

Most optimization analytics is conducted by on one hand digitizing most of the data that is captured in the hospitals and then conducting analytics on the data to look for patterns. Once analytics has been adopted as a key business resource, the next step is to look at data integration so that the hospitals can move from a traditional baseline of transaction monitoring using basic reporting tools, spreadsheets and application reporting modules, toward a model that will eventually incorporate predictive analytics and enable organizations to “see the future,” create more personalized healthcare and predict patient behaviour.

Benefits & Uses

Hospital optimization analytics can be used for:

  • Improve financial and administrative performance
    • Increase revenue and ROI
    • Improve utilization
    • ptimize supply chain
  • Improve operational effectiveness
    • Reduce costs and increase efficiency
    • Optimize catchment area and network management
    • Increase operating speed
  • Improve clinical effectiveness
    • Improve patient satisfaction
    • Understand physician profiles and clinical performance
    • Improve clinical quality of care

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