The National Cancer Institute, as part of the Cancer Moonshot, is hosting a five-day Innovation Lab to generate creative data visualization and design strategies aimed at addressing challenges patients and clinicians have understanding their diagnosis, their clinical options, the volume and complexity of surrounding information, and using this information to help navigate difficult choices. This Lab is intended to catalyze unconventional, interdisciplinary teams involving game designers, patient advocates, clinicians, and others to spur novel ideas around designing for a more patient-centered experience.
This virtual event will take place on TBA dates in July. Applicants must be willing to participate for the entire duration of the Innovation Lab if selected as a meeting participant.
From the moment of diagnosis, patients and their doctors must make difficult decisions based on complex health information. Over time, that health information can change, circumstances evolve, demanding changes in treatment or enrolling in eligible clinical trials, all of which occurs under unusual duress. New approaches to patient engagement based on data visualization, user experience, and game design may help patients better understand their health data and how it fits in the context of broader cancer groups. It can help build trust with doctors and inform balanced decisions, strengthening these crucial clinical relationships. And it could help find compatible clinical trials. Collaborations between experts from these diverse fields can improve the patient experience and help advance cancer care.
This Innovation Lab will bring together patient advocates and clinicians along with experts in health communications, user experience, data visualization, information science, game design, and health data to form new collaborations and develop innovative approaches related to the cancer patient experience. At the Lab, interdisciplinary teams will work together to ideate and tackle selected challenges in this area. Over the course of five days, teams will form, pitch, and develop project sketches guided by feedback from mentors and other participants.
We encourage patient advocates and clinicians with diverse expertise, practitioners in data visualization, user experience, information science, implementation science, game design, behavioral science, and anyone interested in how people interact with complex information. Irrespective of expertise, we are chiefly interested in new, innovative ideas and original thinking that arise from new collaborations between people of diverse backgrounds.
Approximately 30 applicants will be selected to participate in the Innovation Lab based on their interest, expertise, and openness to actively engage in interdisciplinary collaboration. Consideration will be given to balance a range of disciplines and experiences. All participants should be willing to engage in frank disclosure and assessment of ideas in a collegial and professional fashion. To facilitate open sharing, all meeting discussions will be considered a private communication and not to be shared outside of the meeting unless approved by the contributor. NCI staff, in consultation with mentors, will review applications and select the final list of participants. All application information will be kept confidential. Opportunities to apply for existing funding opportunities will be highlighted during the workshop. We encourage teams to develop applications from their project sketches for existing NIH funding opportunities and work with NIH staff to identify appropriate opportunities.
If you’re interested in developing new methods to guide facilitate patients’ difficult decisions, help them understand their choices and risks, and help ease the emotional and psychological barriers that impede their already difficult journey, then we encourage you to apply. If applying, please be prepared to answer questions about yourself, your work and collaboration experiences, your research focus, and why you are interested in and qualified for the Innovation Lab. Applications will be reviewed internally by the Innovation Lab mentors and NIH staff research-related information will be kept confidential.
Please share the information with any colleagues you think may be interested.