Submissions can come from health systems, digital technology companies, or individual researchers that are in the process of, or have completed, a formal study designed to demonstrate a particular outcome. All submissions must have one of the following a) a Peer Reviewed Publication Describing Your Study b) an IRB Approved Submission and c) a protocol describing your solution. All submission must have the aforementioned document as part of their submission. Submissions without one of these three documents will be referred to our Validations Research Team, to determine if there is interest in conducting a study.

Several adjustments were made this year to improve the quality of the competition and ease the burden on judges and submitters. We have simplified the submission form from 40 input fields to 10. In order to improve the quality of submissions to target evidence, we have made peer-reviewed articles, submissions and protocols mandatory as part of the submission. We have also improved the awards to ensure we provide credit and value to those demonstrating best in class techniques. These include identifying specific presentation, speaking and branding opportunities throughout next year.

Multiple submissions are allowed as long as the submission is focused on a different outcomes, different solution, or leverages a different study design.

Finalist will be offered a 10min presentation with 5 mins open for questions by our expert Judges. Presentations will have a required set up introductory slides with any additional slides welcomed at the submitter’s discretion. Judges will evaluated based on the submitted documents along with the presentation. Winners will be announced on the final day of DMC, December 11th.

Judges will be comprised of leading researchers and executives at health system who are dedicated to transformation through proven digital technologies. They will also be made up of leading researchers at premier universities and academic centers around the world. Criteria for becoming a judge will include having published at least 2 peer-reviewed research papers related to digital health, being affiliated with Academic Center or Research Center, serving as a principal investigator, or having previously supported a NODE.Health Validation effort.

Submission will be evaluated by leading researchers to determine the credibility and rigor of the study approach, design in support of clearly demonstrating results without bias.  The judges will ignore marketing materials that are not support by evidence. Studies that demonstrate lack of efficacy with sound evaluation techniques are welcomed, with priority considerations in sharing lesson’s learned. 

Submission will be evaluated by a panel of judges across health systems and research organizations. These submission will not be shared beyond these judges unless authorized by the submitters. Any submitted document will be evaluated to determine if there are lessons or techniques that could benefit the wider health ecosystem. For best in class submissions, NODE.Health will seek to share in either its original form, or as a collaborative effort to highlight themes or lessons across submissions. NODE.Health will seek approval prior to sharing any document or lesson that can be attributed to a specific researcher or company. Furthermore, NODE.Health will work to ensure those submitting helpful lessons will be given credit by name and organization.