AI aims to save a lot on health


While all health professionals cry over expenses, Accenture takes an optimistic curve with theirs new report, listing a number of AI applications with the promise of saving $ 150 billion in healthcare over the next decade.

Accenture researchers call artificial intelligence technology a “self-execution engine” for healthcare growth. The reason is the skyrocketing growth of AI with the number of health-focused artificial intelligence startups accelerating from less than 20 years in 2012 to about 70 in mid-2016. As a result, researchers predict that the artificial intelligence market for health will grow more than tenfold in the next five years, reaching $ 6.6 billion in 2021 with a 40 percent compound annual growth rate.

Areas of AI about to grow and foster health care

The report highlights multiple applications of AI in the medical field, including its use for risk analysis, well-being, diagnostic support, lifestyle management, clinical imaging, and more. . In particular, Accenture defines the following 10 areas of AI to increase current care delivery and generate savings:

  • Robot-assisted surgery: $ 40 billion
  • Virtual Nursing Assistants: $ 20 billion
  • Administrative workflow assistance: $ 18 billion
  • Fraud detection: $ 17 billion
  • Dosage error reduction: $ 16 billion
  • Connected machines: $ 14 billion
  • Clinical Trial Participant Identifier: $ 13 billion
  • Preliminary diagnosis: $ 5 billion
  • Automated image diagnostics – $ 3 billion
  • Cybersecurity: $ 2 billion

How they help

From the point of view of researchers, these AI applications can benefit elements of health areas such as:


Artificial intelligence in hospitals can reduce repetitive work, allowing health care professionals to focus on helping patients rather than endlessly clicking on systems and applications. As for the patient, AI symptom checkers can direct patients to outpatient, urgent, and emergency care settings depending on the severity of possible conditions.

Attention to reach

With emerging technologies, multiple data sources emerge. AI can speed up the process Integration and analysis of health data through platforms and organizations, moving healthcare to a more transparent and interoperable HIE process.

Institutional preparation

By reshaping the structure of the organization, government, and corporate culture with the smart focus of AI, providers can improve the efficiency, quality, and outcomes of care. For example, caregivers may choose to improve and develop new approaches to the training of clinical specialists, create AI-based collaborative workspaces, remodel and automate administrative workflows, and more.


Oh, a major pain point for healthcare. Here, AI can be another brick in the wall, keeping patient data safe from multiple threats and vulnerabilities. With the ability to learn patterns by processing massive amounts of health data, AI in the medical field can help find APT, automate SOC response, and improve resistance to attacks.

AI sends healthcare to the future

As opposed to surprising augmented reality, virtual reality, 3D printing and other disruptive technologies, AI is one of those here and now. It is already driving health care from multiple points, driving distance care delivery, internal processes and information exchange, but this is just a starting point. AI is expected to gain momentum in the next ten years, and organizations capable of adopting it, leveraging their most promising ROI applications, will be able to outperform competitors and shape the future of healthcare. And we hope that the future will bring a balance of quality and costs, no more and no less.

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