Validation Studies

Validation opportunities we bring to our NODE.Health members are not meant to be an advertisement or campaign on behalf of the technology, but is meant to provide members with an opportunity to explore and validate solutions. Involvement in NODE.Health’s Multi-Site Validation process in no way obligates members to buy, use or scale these digital solutions.

However, it is our hope that solutions which are proven to be clinically effective will be considered for adoption to support each healthcare system’s transformation efforts in supporting disadvantaged communities.

NODE.Health does not promote or market solutions during validation efforts. We report no conflict of interest in presenting lessons learned from our validation efforts. Our mission is to help digital technologies validate solutions in a clinical environment in the hopes of advancing innovation in healthcare and accelerating transformation for communities in need.

Active and Completed Validation Studies are validation efforts that NODE.Health has or is supporting to help digital solutions gain critical input for understanding the effectiveness of their solutions. We share lesson’s learned in supporting these validation studies in the hopes that the industry can learn techniques in more quickly adopting solutions that work.  The lessons are shared via this site, as part of our Digital Medicine University Webinar Series, our monthly learning sessions, via our Pulse Newsletter and during events to include our annual Digital Medicine Conference.


Active Studies

Ongoing efforts are currently  supported by NODE.Health in one of the four phases.  These have received the necessary participants and are no longer open to interested health systems.  

Non-Emergency Medical Transport

Supporting four phase multi-site validation effort of a digital technology firm that provides on-demand transportation services for patients. The solution is intending to demonstrate evidence that digital solutions can reduce no-show rates and improve transparency related to ride, quality and billing information in a HIPAA compliant platform.


Over 1/3 of all patients need transportation help, and missed appointments can lead to unnecessary progression of disease. This validation effort aims to review the impact of transport services on socially disadvantaged patients who have trouble attending their clinical appointments.


Completed Validation Studies

Completed one or all four-phase of our validation support. In support of our mission, NODE.Health makes every effort to share lessons learned from these efforts.

AI CT Imaging

Provided phase one support for an artificial intelligence application related to non-contrast head/brain CT imaging for patients with head trauma or stroke symptoms. The technology provides a triage aid to prioritize and notify critical head CT scans, a TBI progress monitoring tool, and a reporting assistance mode that pre-populates radiologist templates. NODE.Health evaluated the critical end-points that should be prioritized as part of a validation effort.


This application can aid clinicians in rural and non-academic settings to better diagnose different types of head injuries. Using AI, the software can detect changes in radiological images to quicken the diagnostic process in patients with head injuries, which allows for treatment to begin sooner.

Neural Network Development for ECGs

Provided third phase support to help validate a new artificial intelligence platform called a ‘convolution neural network classifier’. The study evaluated the platform’s performance on various arrhythmias diagnosed on 12-lead ECGs and single-lead Holter monitors. The solution focused on identifying the correct arrhythmia at the time of a significant clinical event, including a cardiac arrest.


This tool aims to automate accurate ECG readings, especially among more sinister arrhythmias, to aid clinicians in their workup of patients lacking access to modern healthcare services.

Low-Cost Cardiac Output Monitor

Provided phase two support for a cardiac output monitoring tool, which is easier to operate and more cost-effective compared to current offerings in the market. This tool, which has been FDA approved, will enable patients to understand their cardiac issues in a more accurate manner, while reducing their long-term spending.


Completed phase one of NODE.Health’s validation process for an e-consent platform. The solution is a software platform that improves pre-and post-care education by using high-quality medical animations to explain treatment options, a survey to test for comprehension, and a video-based informed consent process to capture the doctor-patient conversation.


The platform will support patients in receiving the information they require prior to their respective procedures, especially those who are not able to attend multiple appointments due to social constraints.