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. Focus is also on finding ways to streamline research and development of new patient care while remaining compliant with regulatory requirements and maintaining data security.

Learn how Bayer is improving research and product development here.

Learn how Teladoc Health is improving patient service here.

Learn how Amgen is improving research and development here.

Learn how Oxford University Hospitals NHS Foundation Trust is improving staff productivity here.

Download the Healthcare scenarios kit
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Microsoft Copilot opportunity to impact key functional area KPIs

Review our KPI overviews and view additional scenario details.

Product time to market

The time spent on drug research and trials. Reducing time to market can reduce costs and accelerate revenues.

Claims processing time

This KPI measures the average time to process a claim and can impact patient satisfaction.

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.

Readmission Rate

This measures the percentage of patients who are readmitted to the hospital within a specific time frame after being discharged.

Patient and customer retention

This KPI measures the percentage of patients who return to the same healthcare facility for future care.

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Transform Healthcare processes

Key processes Before AI Using AI
Operations efficiencyHealthcare organizations can use AI to enhance operational efficiency by automating administrative tasks, improving patient scheduling, and optimizing resource allocation. AI-driven solutions can streamline workflows, reduce manual errors, and provide real-time insights, leading to better decision-making and faster service delivery.

Provide faster service that is easier for member to understand

Simplify the task of sharing information in meetings with assistance before, during, and after the meeting

Use Copilot for data analysis for shift planning

Use Copilot to help clinical teams work together and share knowledge

Patient and member serviceAI can enhance patient and member services by providing personalized care recommendations and automating routine tasks, such as appointment scheduling and follow-up reminders. It can also improve patient engagement through chatbots and virtual assistants, offering instant support and information. Additionally, AI can analyze patient data to predict health issues and suggest preventive measures, ensuring timely interventions and better overall care. This leads to more efficient, responsive, and tailored healthcare experiences.

Provide better educational materials to assist with prevention efforts

Provide faster service that is easier for member to understand

Research/ development/ trialsAI can significantly enhance healthcare organizations by analyzing vast amounts of data to identify patterns and insights, accelerating research and development processes. It can also streamline product development by predicting outcomes and optimizing designs. During clinical trials, AI can monitor patient data in real-time, ensuring safety and efficacy while reducing trial durations. Overall, AI helps improve accuracy, efficiency, and innovation in healthcare.

Simplify the process of bringing new drugs to market

Prepare a presentation for a medical conference with ease

Simplify data aggregation and grant applications