How to Build and Implement Your AI Health Care Action Plan

Artificial intelligence (AI) has the potential to transform every aspect of health care delivery from the simplest administrative task to the most complex clinical procedures. With financial constraints being what they are, however, hospital and health care executives need a road map to set strategic priorities for value creation and return on investment.

The AHA’s recently released “Building and Implementing an Artificial Intelligence Action Plan for Health Care” provides a playbook for allocating resources that prioritize patient access, revenue cycle management and operational throughput.

The report highlights top AI clinical applications, expertise required for deployment and a timeline for expected ROI impact. In addition, case studies on seven prominent hospitals and health systems are included. Leaders from Atrium Health, HCA Healthcare, Cleveland Clinic, Mayo Clinic and others share how they are deploying AI today and lessons they have learned.

AI use cases that could transform health. Percentage of surveyed U.S. health system executives who mentioned specific areas related to the use of AI technology. Communication/messaging: 9%; Clinical care: 18%; Ambient speech recognition: 12%; Decision support: 12%; Predictive models: 9%. Source: Center for Connected Medicine, KLAS Research.

4 Top AI Use Cases with Quick ROI Potential

Many top AI use cases across administrative solutions, revenue cycle management, operational and clinical applications can deliver return-on-investment (ROI) impact in a year or less. Examples include:

ADMINISTRATIVE | Improve claims denial prevention.

Although this application requires a high level of expertise to deploy when implemented successfully, users will be able to better predict which claims are likely to be denied based on diagnosis, treatment and insurance plan. Providers also will be able to identify inconsistencies, missing codes and duplicate entries.

CLINICAL | Optimize operating room and procedure time.

AI-driven algorithms for scheduling, predicting case duration, streamlining resource allocation and in pre-operative medicine can help redefine OR efficiency and patient care. AI-powered OR management solutions can improve resource allocation, patient outcomes and staff satisfaction. Results hospitals can expect include improvement in predicting case duration and cancellation, optimizing post-anesthesia care unit resources and improved patient outcomes.

OPERATIONAL | Leverage supply chain data to enhance cost management.

This application also requires a high level of expertise but within a year or less, providers will be able to capture true case costs, provide accurate cost-variance analysis as well as procedure and inventory demand intelligence and to identify expensive supplies that have been recalled or expired.

PATIENT ACCESS | Streamline discharge planning.

Although it may take a year or more before achieving ROI impact, this AI application will allow your organization to generate discharge summaries, translate medical information into a patient-friendly format, predict length of stay and identify readmission risks.

Download the full report to examine many more use case analyses in areas like:

  • Cybersecurity.
  • Capacity planning and management.
  • Pre-visit planning.
  • Personalizing care and treatment plans.
  • Reducing medical errors.

AHA Center for Health Innovation logo

Related Resources

AHA Center for Health Innovation Market Scan
Public
AHA Center for Health Innovation Market Scan
AHA Center for Health Innovation Market Scan
Public
AHA Center for Health Innovation Market Scan
Public
AHA Center for Health Innovation Market Scan
Public
AHA Center for Health Innovation Market Scan
Public