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Creating the future of artificial intelligence in health-system pharmacy
12
Zitationen
1
Autoren
2019
Jahr
Abstract
Is artificial intelligence (AI) about to reinvent healthcare, or are its applications to the field not yet ready for prime time? The answer is yes on both counts. In the realm of pharmacy, for example, AI is already being used to predict adverse drug events, including drug–drug interactions, as well as to power mobile platforms that aid patients in boosting medication adherence. But as ASHP's Commission on Goals1 points out in its report on AI in this issue of AJHP, the most dramatic potential applications lie ahead—and the prospects are both exhilarating and unsettling. When developed and used appropriately, AI will enable far superior diagnosis and treatment, as well as greater efficiency in operational aspects of pharmacy care. Used inappropriately, however, AI could lead to great harm—for example, if algorithms based on genomic studies of a relatively narrow patient cohort were used to make flawed diagnostic or treatment decisions for an altogether different population of patients.2
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