Authors:
Jan Schulte to Brinke
1
;
Christian Fitte
2
;
Eduard Anton
2
;
Pascal Meier
1
and
Frank Teuteberg
2
Affiliations:
1
Smart Enterprise Engineering, German Research Center for Artificial Intelligence, Parkstraße 40, 49080 Osnabrueck, Germany
;
2
Accounting and Information Systems, Osnabrueck University, 49069 Osnabrueck, Germany
Keyword(s):
Conversational Agent, Medical Assistant, Patient Compliance, Medication Therapy Safety.
Abstract:
The chronically ill and the elderly often need to take several drugs, which increases the complexity of medication management. This frequently results in a decrease in patient compliance and raises the risks of their drug therapy. To support patients in medication management, we developed a multimodal assistant that includes a conversational agent supplied with data from a database managed by healthcare professionals via a web service. The developed artifact analyzes medication plans, identifies adverse drug reactions and side effects, and reminds patients to take their medication correctly and on time. Applying the design science research paradigm, we systematically identified 16 issues, derived eight meta-requirements, and elaborated three design principles. Based on this, the artifact was implemented and evaluated by three experienced pharmacists, who highlighted the usefulness of the solution and provided feedback for further improvements. Finally, we present an evaluation concep
t for potential users and discuss the implications of the medication assistant. Overall, the medical assistant comprises valuable functionalities to support patients, and it increases medication therapy safety and patients’ compliance.
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