Chi Mei Medical Center revolutionized patient services with AI copilots

Chi Mei Medical Center in Taiwan addressed severe healthcare staff shortages and high workloads by deploying generative AI copilots built with Azure OpenAI Service. These assistants support doctors, nurses, and pharmacists in automating routine tasks such as report generation, data retrieval, and patient education. The AI copilots, developed using Microsoft Azure OpenAI Service, effectively doubled the patient handling capacity for pharmacists, reduced nursing paperwork time, and streamlined medical report writing for doctors. These initiatives have significantly improved operational efficiency, patient safety, and staff well-being at the hospital. By leveraging Microsoft cloud and AI technology, the hospital has created a model for healthcare transformation under strain. The real-world use of generative AI showcases practical benefits and measurable results, with staff enabled to devote more attention to complex cases and patient needs. The case further demonstrates AI's critical role in supporting healthcare systems facing similar demographic and operational challenges in Asia and beyond.

Industry
Healthcare
Location
Taiwan
Published
October 2024

Reported outcomes

20 minutes

timeTime & speed

5 minutestime15 minutestime

Strategic outcomes

Scale & capacityExpanded patient handling capacitySpeed & agilityReduced documentation and reporting timeCustomer experience & trustImproved patient safetyEmployee experienceReduced staff burnout

Primary read

Use case focus

Showing 3 of 3

  • 1Automated Clinical Documentation for Nursing
  • 2AI Copilot-Assisted Pharmacy Operations
  • 3Generative AI for Patient Report Summarization
  • Chronic shortage of healthcare workers in Taiwan, with only two doctors per 1,000 people.
  • Healthcare staff forced to work an average of 19 hours more per week than scheduled.
  • High workloads for doctors, nurses, and pharmacists leading to staff burnout.
  • Manual documentation and report generation causing inefficiencies.
  • Difficulty in delivering complex and timely patient care.
  • Deployed Azure OpenAI Service-based AI copilots to automate repetitive tasks for staff.
  • Implemented generative AI to assist pharmacists, nurses, and doctors with data retrieval, paperwork, and patient education.
  • Developed AI-based solutions directly integrated into clinical workflows to reduce manual workload.
  • Enabled staff to focus more on high-need patients and complex care.
  • Pharmacists doubled patient handling capacity from 15 to 30 patients daily.
  • Nurses reduced documentation time from up to 20 minutes to under 5 minutes.
  • Doctors reduced reporting time from an hour to 15 minutes per case.
  • Reduced staff burnout and improved patient safety.
Sources & evidence2
Groundedness: Unavailable

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