1. A roadmap to reduce information inequities in disability with digital health and natural language processing
- Author
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Denis R. Newman-Griffis, Max B. Hurwitz, Gina P. McKernan, Amy J. Houtrow, and Brad E. Dicianno
- Subjects
Computer applications to medicine. Medical informatics ,R858-859.7 - Abstract
People with disabilities disproportionately experience negative health outcomes. Purposeful analysis of information on all aspects of the experience of disability across individuals and populations can guide interventions to reduce health inequities in care and outcomes. Such an analysis requires more holistic information on individual function, precursors and predictors, and environmental and personal factors than is systematically collected in current practice. We identify 3 key information barriers to more equitable information: (1) a lack of information on contextual factors that affect a person’s experience of function; (2) underemphasis of the patient’s voice, perspective, and goals in the electronic health record; and (3) a lack of standardized locations in the electronic health record to record observations of function and context. Through analysis of rehabilitation data, we have identified ways to mitigate these barriers through the development of digital health technologies to better capture and analyze information about the experience of function. We propose 3 directions for future research on using digital health technologies, particularly natural language processing (NLP), to facilitate capturing a more holistic picture of a patient’s unique experience: (1) analyzing existing information on function in free text documentation; (2) developing new NLP-driven methods to collect information on contextual factors; and (3) collecting and analyzing patient-reported descriptions of personal perceptions and goals. Multidisciplinary collaboration between rehabilitation experts and data scientists to advance these research directions will yield practical technologies to help reduce inequities and improve care for all populations. Author summary As medical successes have increased lifespans and improved health outcomes around the world, global ageing and more frequent occurrence of chronic diseases are contributing to a corresponding increase in the impact of disability worldwide. People with disabilities often experience injustices and ableism in healthcare, and as the prevalence and impacts of disability continue to grow, there is a clear need for more disability-focused and disability-aware practices in healthcare. Here, we present a roadmap towards bringing better information on the concrete impacts and lived experience of disability into healthcare practice, as a key step towards addressing this need. We describe 3 major barriers to collecting and analyzing information on people’s experience of function and disability, including a lack of contextual information, underemphasis of the patient’s voice and experience, and technical challenges in recording disability-related information in health records. These barriers create significant information inequities that contribute to the disparities in health and healthcare experienced by disabled people. We further propose 3 specific directions for new research and development on using digital health technologies, particularly natural language processing (NLP) and other artificial intelligence technologies, to help mitigate these barriers and support more equitable healthcare for people with disabilities.
- Published
- 2022