Health Data Sciences Institute
Oak Ridge National Laboratory
US Department of Veterans Affairs, Presidential Innovation Fellows program
The Presidential Innovation Fellows, US Department of Veterans Affairs, and the Oak Ridge National Laboratory Health Data Sciences Institute are coordinating this Data Challenge, which draws on resources across a dozen federal agencies and departments. The related project, Health Tech Sprint, emphasizes the need for open federal data for artificial intelligence (AI) applications as defined by the newly signed OPEN Government Data Act under the Foundations for Evidence-based Policymaking Act (signed Jan 15, 2019).
Novel therapeutics, such as those under development in clinical trials, are often a treatment option for patients with serious and life-threatening diseases such as cancer. Increasing patient awareness of clinical trials is believed to be a factor in reducing time for participant recruitment, a very large cost category in clinical trials. Thus, applying AI to help patients and their health care providers find clinical trials of novel therapeutics may improve patient care and, by aiding in recruitment, reduce drug development costs.
For AI to be useful in trial matching, both representative patient data and clinical trial eligibility information, ideally in a structured format, are needed. In addition, expert-based guidance on matching patients to trials, including which criteria are matched, is useful for building and testing models.
The AI-able data ecosystem seeks to enable AI by bringing together an ensemble of interlinked datasets with data suitable for AI in a given use case. Having this information in the public domain enables standardization by facilitating testing across different approaches. This challenge features the first such standardized dataset ensemble related to clinical trial matching, with the various interlinked datasets provided.
Three datasets are available to Data Challenge participants:
A second version of the third dataset, produced by oncology professionals, serves as a comparison dataset for the matches identified through the application of AI.
For more information on the above datasets and potential approaches on usage, please see https://digital.gov/2019/02/27/how-a-health-tech-sprint-inspired-an-ai-ecosystem/.
In addition to the datasets provided, participants are encouraged to use other publicly available datasets. For example, National Cancer Institute (NCI)-funded cancer clinical trials, including API with annotations on disease eligibility criteria for all trials, is available at https://clinicaltrialsapi.cancer.gov
Challenge questions are listed below. However, participants are encouraged to suggest and tackle challenge questions different from those listed below. Innovative use of the provided data is strongly encouraged.
Notes on the Challenge Questions: