Community Health and Preventive Medicine Commons^™

Artificial Intelligence–Powered Smartphone App To Facilitate Medication Adherence: Protocol For A Human Factors Design Study, Don Roosan, Jay Chok, Mazharul Karim, Anandi V. Law, Andrius Baskys, Angela Hwang, Moom Roosan

Pharmacy Faculty Articles and Research

Background: Medication Guides consisting of crucial interactions and side effects are extensive and complex. Due to the exhaustive information, patients do not retain the necessary medication information, which can result in hospitalizations and medication nonadherence. A gap exists in understanding patients’ cognition of managing complex medication information. However, advancements in technology and artificial intelligence (AI) allow us to understand patient cognitive processes to design an app to better provide important medication information to patients.

Objective: Our objective is to improve the design of an innovative AI- and human factor–based interface that supports patients’ medication information comprehension that could potentially …

Development Of The Adherence Predictive Index (Api) For Medication Taking, Jon C. Schommer, Paul D. Tieger, Anthony W. Olson, Lawrence M. Brown, Daniel M. Tomaszewski

Pharmacy Faculty Articles and Research

The objective for this study was to explore if characteristics of personality type using the Preferred Communication Style Questionnaire, in concert with the demographic characteristics of age, education, and race/ethnicity, are associated with, and help predict, individuals’ medication adherence behavior.

Data were collected via an on-line survey, sent to a sample of adults residing in the United States, between April 28 and June 22, 2015. Out of 26,173 responses to the survey, 16,736 reported taking one or more medications and were eligible for inclusion in this study.

The development of the Adherence Predictive Index (API) used mean Morisky Medication Adherence …