Abstract A7: CAMPFIRE: An informatics platform for assessing neurocognitive symptoms of cancer treatment

Abstract

The complexity and individualization of treatment for many neurocognitive diseases continues to increase as affordable genetic sequencing, computerized assessment, and wearables/ubiquitous computing increase the amount of data sources available during drug development and clinical care. Therefore, tools that allow for streamlined data collection within clinical workflows to reduce burden on clinical staff would be advantageous. We designed and developed an informatics platform, called CAMPFIRE, to collect cognitive assessments, patient-reported outcomes, and other longitudinal data securely for large numbers of patients using a hospital’s existing health IT infrastructure, with the goal of providing these data as a component of clinical care. We first evaluated platform design decisions using feedback from 3 providers and 5 patients in the Boston area and assessed usability (System Usability Scale; scored 1-5). Both providers and patients described the platform as easy to use (average scores=4.7, 4.6), easy to learn (average scores=4.3, 4.8), and useful (average score=3.3, 3.8). We have collaborated with University of Rochester to gain further qualitative perspectives on this platform specifically in the oncology setting. During our qualitative analysis, we learned that UR oncologists deemed that patients’ self-assessed cognitive function is most valuable to determine follow-up actions. Clinicians preferred assessment results reported through a brief summary and corresponding follow-up actions with additional graphed data available for in-depth analysis. We found report delivery timing is key to the integration with clinicians’ workflow. Accordingly, we have developed a system for gathering and reporting cognitive measures within a clinic context. Key capabilities include reducing the need for logins by allowing results to be viewed within the health record system, comparison of data to pretreatment baselines, and clear guidance to support clinicians’ actions through intervention resources displayed along with references. We are now designing a study to longitudinally track patients’ neurocognitive performance over the course of treatment (pre-, mid-, and post-treatment) using the NIH PROMIS and NIH Toolbox (expected study launch, November 2019). Patient-reported outcome data will be collected automatically and remotely via an HIPAA-compliant web platform and an in-person cognitive screening completed on an iPad during clinic visits. The goal of all of these efforts is to design and develop the CAMPFIRE platform to allow for more efficient gathering of multiple forms of neurocognitive symptom data before, during, and after cancer treatment to provide more individualized and patient-centered care. Citation Format: Aaron Winder, Calvin Leather, Michelle Janelsins, Michael Bass, Noah Kellem. CAMPFIRE: An informatics platform for assessing neurocognitive symptoms of cancer treatment [abstract]. In: Proceedings of the AACR Special Conference on Tumor Immunology and Immunotherapy; 2019 Nov 17-20; Boston, MA. Philadelphia (PA): AACR; Cancer Immunol Res 2020;8(3 Suppl):Abstract nr A7.