Microsoft Scenario Library Healthcare

Using Copilot in Healthcare

The healthcare industry is faced with finding ways to improve access to healthcare and the overall quality of care for patients while maximizing efficiency due to current and projected workforce shortages and the need to contain costs. 

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Scenarios

Transform Healthcare processes

KPIs

Opportunity to impact key functional area KPIs

How Microsoft Copilot can help improve product time to market

The time spent on drug research and trials. Reducing time to market can reduce costs and accelerate revenues.
Reduce churn
  • Address more queries in less time
  • Personalize solutions
  • Improve staff availability based on automated capacity-based scheduling
  • Diagnose problems faster

How Copilot can help to reduce claims processing time

This KPI measures the average time to process a claim and can impact patient satisfaction.
Reduce churn
  • Address more queries in less time
  • Personalize solutions
  • Improve staff availability based on automated capacity-based scheduling
  • Diagnose problems faster

How Copilot can help to reduce wait times

This measures the average time a patient waits before receiving care. It’s calculated by dividing the total wait time by the number of patients.
Reduce churn
  • Address more queries in less time
  • Personalize solutions
  • Improve staff availability based on automated capacity-based scheduling
  • Diagnose problems faster

How Copilot can help to reduce readmission rates

This measures the percentage of patients who are readmitted to the hospital within a specific time frame after being discharged.
Reduce churn
  • Address more queries in less time
  • Personalize solutions
  • Improve staff availability based on automated capacity-based scheduling
  • Diagnose problems faster

How can Copilot improve patient retention

This KPI measures the percentage of patients who return to the same healthcare facility for future care.
Reduce churn
  • Address more queries in less time
  • Personalize solutions
  • Improve staff availability based on automated capacity-based scheduling
  • Diagnose problems faster