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TRANSFORMING PATIENT CARE COORDINATION WITH ALWAYS ON AI

Aidoc Care Coordination enables teams to enhance cross-specialty workflows leading to decreased time to treatment and improved patient transfers

Aidoc’s Care Coordination solution provides AI-triggered communication, activation and real-time image and data sharing to help expedite and simplify clinical decision-making for multidisciplinary care teams.

  • Automatically consolidates data and uses AI to generate clinical insights
  • Enables communication between desktop and mobile workflows
  • Vendor-neutral platform for seamless EHR and scheduling system integrations
  • Automated hub and spoke network can be created to improve disease awareness and standardized care pathways and transfers
  • Powered by the Aidoc aiOS™ for continuous, automatic AI review for the expected and unexpected
Aidoc’s Care Coordination cross-specialty workflows communication dashboards on three smartphones
Doctors analyzing imaging

Aidoc Care Coordination’s Proven Clinical Impact

Aidoc partners have realized numerous positive clinical and financial outcomes post-AI implementation.

Infographic displaying stats of Aidoc's care coordination impact
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AI-Based Care Team Activation

Aidoc Care Coordination alerts the right users across the imaging and clinical workflow at the right time, expediting decision-making when necessary. Escalation pathways are customizable to include Radiology within the native workflow as necessary. Notifications are made easily available on desktop, mobile or worklist.

Seamlessly Connecting Multiple Service Lines and Systems

Aidoc’s Care Coordination has the most comprehensive clinical workflow integrations available thanks to our vendor-neutral, proprietary operating system.

  • Compatible with any EHR giving care teams a complete clinical view.
  • Expedited decision-making with scheduling integration
Learn more about Aidoc system integrations
Doctors speaking together in the hallway

What Our Partners Are Saying

Irena Tocino headshot
Irena Tocino, MD, FACR
Professor and Vice Chair of Medical Informatics, Yale School of Medicine
Akhil Khosla headshot
Akhil Khosla, MD
Co-Director of the PERT program, Yale New-Haven Hospital
Irena Tocino, MD, FACR
Professor and Vice Chair of Medical Informatics, Yale School of Medicine
Irena Tocino headshot

“We have been using the first version of this solution for the last six months and have seen the real impact this has had on addressing patients that require treatment beyond anticoagulation. Having this subset of patients routed simultaneously to multiple stakeholders has shown a reduction in time to treatment and clear improvements in patient outcomes.”

Akhil Khosla, MD
Co-Director of the PERT program, Yale New-Haven Hospital
Akhil Khosla headshot

“The PE Response Team (PERT) was established to provide rapid risk assessment along with execution of the patient management strategy. One of the challenges of establishing a PERT program is making sure the right information is in the hands of the right clinician. In Aidoc, we have a partner with the ability to bring deep integration of AI into these native workflows. The outcome leads to enhanced patient eligibility for novel therapies and makes a significant change to patient management.”

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1.

Petry, M., Lansky, C., Chodakiewitz, Y. G., Maya, M. M., & Pressman, B. D. (2022). Decreased Hospital Length of Stay for ICH and PE after Adoption of an Artificial Intelligence-Augmented Radiological Worklist Triage System. Radiology Research and Practice, 2022, 1–7. https://doi.org/10.1155/2022/2141839

2.

Gupta, K. (n.d.). Mechanical Thrombectomy, Artificial Intelligence and the Activation of a Pulmonary Embolism Response Team. In pertconsortium.org [Poster]. PE Symposium, United States of America.

3.

Wismüller, A., & Stockmaster, L. (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. ArXiv (Cornell University). https://doi.org/10.48550/arxiv.2002.12515

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