IT’S TIME TO REALIZE THE TRANSFORMATIONAL POWER OF HEALTHCARE AI

All Healthcare AI is Not Created Equal

Adoption of artificial intelligence has more than doubled in the past five years,1 but one industry continues to lag – healthcare.1

From lingering misconceptions around return on investment to concerns about organizational capacity and readiness, these doubts are paralyzing progress at a time when facilities face ongoing and unprecedented challenges.

But these fallacies stop with us.

Here you’ll find the education and resources needed for developing an AI strategy at your facility. It’s time to change the conversation from what AI could do to what it is doing every day for thousands of health systems around the world.

See Why Healthcare Needs AI Now
Aidoc's AI imaging
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How AI is Bringing Value to Healthcare’s Complex Challenges

A common myth regarding healthcare AI is that its financial benefits cannot be proven because there is no payor reimbursement. This is false.

Explore how AI is bringing facilities value

Ways we have helped our customers see operational value:

  • Enhanced disease detection
  • Increased departmental throughput
  • Improved clinician efficiency through automation
  • Quality assurance that reduces liability
  • Data-driven decision making

Benefitting health systems, clinicians and patients in numerous ways.

Aidoc's AI solution benefits

Effective AI = Connected System of Intelligence

AI strategies have primarily focused on a single department or use case that unrealizes enterprise-wide value. A connected system of intelligence touches everything. It can help manage data overload and labor shortages. It can help address diagnostic errors that lead to suboptimal care. It can improve workflows to reduce costs and increase efficiency.

The right AI and enterprise system can generate revenue by reducing patient leakage, identify incidental findings, automate patient follow-up management and lead to higher and appropriate use of DRG procedures.

To be effective, your AI solution should be:

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Single Platform

Integrates applications across specialties versus managing separate solutions that require different platform

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Scalable

Purpose-built to coordinate and deploy algorithms and applications across systems

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Seamless

Integrate within native workflow and IT infrastructure (PACS, EHR, scheduling, etc.)

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Secure

Compliant with security and privacy regulations and standards

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Successful

Tailored to provide data-driven ROI

Learn More

Explore How AI is

Impacting Healthcare Today

There are 500+ market-cleared, medical devices featuring AI or machine learning on the FDA website. To help facilities sort through the various definitions and capabilities of AI, the Asher Orion Group prepared this deep-dive into what the regulatory categories mean.

Read More

Novant Health, a not-for-profit integrated network of 15 hospitals in the southern United States, has been leveraging various medical technologies, including Aidoc’s AI, to help improve access to care and patient outcomes. Read about its tech journey in Healthcare Digital magazine.

Read More

HAVE QUESTIONS? WE’RE HERE TO HELP

1.

https://www.mckinsey.com/capabilities/quantumblack/our-insights/the-state-of-ai-in-2022-and-a-half-decade-in-review 

2.

Khosla A. (2022). Transforming Endovascular Care with AI-Triggered PE Response Teams [Webinar]. Aidoc. Available at aidoc.com.

3.

Wismueller et al. (2020) A Prospective Randomized Clinical Trial for Measuring Radiology Study Reporting Time on Artificial Intelligence-Based Detection of Intracranial Hemorrhage in Emergent Care Head CT. Proceedings Volume 11317, Medical Imaging 2020: Biomedical Applications in Molecular, Structural, and Functional Imaging; 113170M doi: 10.1117/12.2552400

4.

Petry M, Lansky C, Chodakiewitz Y, Maya M, Pressman B. Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System. Radiol Res Pract. 2022;2022:2141839. Published 2022 Aug 18. doi:10.1155/2022/2141839

5.

Aidoc. (2023). A Medicare Claims-Based Analysis Of The Impact Of AI On Readmission Rates. [White paper]

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