AI thinks and pays for itself
AI represents a significant opportunity for industry players to manage their bottom line in a new payment landscape, while capitalizing on new growth potential. To better understand the savings potential of AI, Accenture analyzed a comprehensive taxonomy of 10 AI applications with the greatest near-term impact in healthcare.
The assessment defined the impact of each application, likelihood of adoption and value* to the health economy. The top three applications that represent the greatest near-term value are robot-assisted surgery ($40 billion), virtual nursing assistants ($20 billion) and administrative workflow assistance ($18 billion). As these and other AI applications gain more experience in the field, their ability to learn and act will continually lead to improvements in precision, efficiency and outcomes.
Top 10 AI Applications
- Robot-Assisted Surgery** $40B
- Virtual Nursing Assistants $20B
- Administrative Workflow Assistance $18B
- Fraud Detection $17B
- Dosage Error Reduction $16B
- Connected Machines $14B
- Clinical Trial Participant Identifier $13B
- Preliminary Diagnosis $5B
- Automated Image Diagnosis $3B
- Cybersecurity $2B
TOTAL = ~$150B
Source: Accenture analysis
* ”Value” is the estimated potential annual benefits for each application by 2026.
** Orthopedic surgery specific
AI is becoming the new OS
To be positioned to take full advantage of new AI capabilities, Accenture suggests focusing on:
WORKFORCE. The nature of work and employment is rapidly changing1 and will continue to evolve to make the best use of both humans and AI talent. For example, AI offers a way to fill in gaps amid the rising labor shortage in healthcare. AI has the power to alleviate burden on clinicians and give workers tools to do their jobs better.
INSTITUTIONAL READINESS. To realize greater value from AI, healthcare players can incorporate AI expertise in their organization’s structure and governance. They also should build an AI-smart workforce and culture that will use AI to enhance efficiency, quality and outcomes.
CARE REACH. AI can magnify care reach by integrating health data across platforms. However, as new technology is introduced, various data sources must be connected to enable a seamless experience for patients.
SECURITY. Parties in the ecosystem will need to work together in an ethical way, and be secure in how they manage critical information on patients.
1Accenture; “Digital Health Tech Vision 2016: Liquid Workforce”