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Why Healthcare Needs AI Now

Here you‘ll find the resources needed to make the case for AI at your facility. It’s time to change the conversation from what AI could do to what it is doing every day to optimize operational efficiency for thousands of health systems around the world.

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The Business Case for AI

There are few technologies that can directly impact costs, accessibility and quality while enhancing the user experience. The right AI can.

When intelligent AI is implemented as an enterprise-wide system, it can help individuals process large amounts of data, discover trends and accelerate decision making – enabling better outcomes and driving growth, even with fewer resources.

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Dive Deeper into Healthcare AI

Get a deeper understanding of the impact, challenges and opportunities within the realm of clinical AI through our eBook series.

AI-Supported clinicians = accelerated, accurate decision making across service lines

See how an enterprise-wide AI strategy, powered by an AI operating system, has helped clinicals effectively manage patient data and workflows, enabling collective action across service lines to benefit health systems, clinicians and patients in numerous ways.

Acquires, analyzes and applies available AI to exams from available data sources, helping to identify candidates for admission or transfer.*

Automated Referral Network

Increase in Patient Volumes

72% more activations (PERT)1

Alerts radiologists to critical patients to help manage workload and enable timely activation of clinical workflows.

Identify Suspected Abnormalities

Expanded Disease Awareness

16% improved quality of care with AI (PE)2

Exam results and EHR data available on a single platform for seamless communication and collective action.

Care Team Coordination

Improved Provider Satisfaction + Efficiency

55% Reduction in Turnaround Time (ICH)3

Reduced time to diagnosis and treatment helps improve outcomes

Prioritized Discharge

Shorter Length of Stay

26% Reduction in Length of Stay (PE)4

Closed-loop system highlights patients who need follow-up

Patient Management

Reduced Readmissions

Average $400K annual cost savings at 13 sites5

EXPLORE CLINICAL IMPACT

Uncover How AI is Changing Healthcare

Blog
RSNA 2024 Recap: Foundation Models and the Future of Radiology AI

Andrew MacLean
infographic
Time is Brain: Transforming Stroke Care
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Modern Healthcare: GE HealthCare, Aidoc Embrace AI at RSNA
Blog
Recap of AI in Healthcare in 2024: Milestone Moments

Aidoc Staff
news
DOTmed: Aidoc Submits New CT Imaging AI Model for FDA Review
news
Aunt Minnie: Aidoc Combines Next-Generation AI with CARE1™ Foundation Model to Improve CT Analysis
news
Practical Patient Care: Aidoc Develops CARE1™ Foundation Model for CT Imaging
Blog
AI Transparency in Healthcare: A Pivotal Discussion on Capitol Hill

Demetri Giannikopoulos
news
Aidoc Pioneers Next-Generation AI with CARE1™ Foundation Model, Revolutionizing CT Imaging Standards
Blog
Understanding Breast Density and the Impact of the New FDA Requirement: How Aidoc and ScreenPoint Support MQSA Compliance

Andrew MacLean
infographic
The Healthcare AI Dictionary: Vol. 2
Blog
Key Takeaways in Vascular Care: Insights from VIVA 2024 and the 51st Annual VEITH Symposium

Deepak Srikant

Continue Your AI Education

AI Strategy

Blog

Webinars

Have questions?
We’re here to help.

  1. Khosla A. (2022). Transforming Endovascular Care with AI-Triggered PE Response Teams [Webinar]. Aidoc. Available at aidoc.com.
  2. A. Jacob, B. Doan, C. Granville., (2022). Man and machine: implications of an artificial intelligence based algorithm in the detection of pulmonary embolism on computed tomography angiography. SIR 2022 Annual Meeting.
  3. Wismueller et al.(2020) A Prospective Randomized Clinical Trial for Measuring Radiology Study Reporting Time on Artificial IntelligenceBased 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. 15 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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