Intelligent Conversational Agents in Healthcare: Hype or Hope?

New developments in healthcare require an increased disease self-management of patients. Intelligent digital assistants equipped with a conversational user interface are intended to support patients in this challenging task by providing reminders, answering questions, or supporting in self-monitoring tasks. In this paper, we study the potentials of intelligent conversational agents in healthcare. We realized three systems for three different use cases (patient education, disease management, self anamnesis). Based on these implementations and experiences with usability tests, we performed an analysis of strengths, weaknesses, opportunities and threats (SWOT) using a questionnaire. The results show that conversational agents used in healthcare applications can be helpful. However, they have to be integrated into the healthcare process, supporting also the interaction between the healthcare team and a patient. In order to be attractive for a long-term usage, the scope of operation should autonomously adapt to the current health situation of a patient to provide relevant functionality as needed.

Increased Patient Activation Is Associated with Fewer Emergency Room Visits and Hospitalizations for Pain in Adults with Sickle Cell Disease.

OBJECTIVE: Recurrent vaso-occlusive pain episodes, the most common complication of sickle cell disease (SCD), cause frequent health care utilization. Studies exploring associations between patient activation and acute health care utilization for pain are lacking. We tested the hypothesis that increased activation and self-efficacy are associated with decreased health care utilization for pain in SCD. METHODS: In this cross-sectional study of adults with SCD at a tertiary medical center, we collected demographics, SCD phenotype, Patient Activation Measure levels, and self-efficacy scores using structured questionnaires. We reviewed charts to obtain disease-modifying therapy and acute health care utilization, defined as emergency room visits and hospitalizations, for vaso-occlusive pain episodes. Negative binomial regression analyses were used to test the hypothesis. RESULTS: We surveyed 67 adults with SCD. The median age was 27.0 years, 53.7% were female, and 95.5% were African American. Median health care utilization for pain over one year (range) was 2.0 (0-24). Only one-third of participants (38.8%) were at the highest activation level (median [range] = 3 [1-4]). Two-thirds (65.7%) of participants had high self-efficacy (median [range] = 32.0 [13-45]). Regressions showed significant association between health care utilization and activation (incidence rate ratio [IRR] = 0.663, P = 0.045), self-efficacy (IRR = 0.947, P = 0.038), and male sex (IRR = 0.390, P = 0.003). Two outliers with high activation, self-efficacy, and health care utilization also had addictive behavior. CONCLUSIONS: Many individuals with SCD have suboptimal activation and reduced self-efficacy. Higher activation and self-efficacy were associated with lower health care utilization for pain. Additional studies are needed to evaluate interventions to improve activation and self-efficacy and reduce acute health care utilization for pain.

eMedication Meets eHealth with the Electronic Medication Management Assistant (eMMA).

BACKGROUND: A patient's healthcare team is often missing a complete overview on the prescribed and dispensed medication. This is due to an inconsistent information flow between the different actors of the healthcare system. Often, only the patient himself knows exactly which drugs he is actually taking. OBJECTIVES: Our objective is to exploit different eHealth technologies available or planned in Switzerland to improve the information flow of the medication data among the stakeholder and to support the patient in managing his medication. METHODS: This work is embedded in the "Hospital of the Future Live" project, involving 16 companies and 6 hospitals in order to develop IT solutions for future optimized health care processes. A comprehensive set of requirements was collected from the different actors and project partners. Further, specifications of the available or planned eHealth infrastructure were reviewed to integrate relevant technologies into a coherent concept. RESULTS: We developed a concept that combines the medication list and an eHealth platform. The resulting electronic medication management assistant (eMMA) designed for the patient provides the current medication plan at any time and supports by providing relevant information through a conversational user interface. CONCLUSION: In Switzerland, we still need a bridging technology to combine the medication information from the electronic patient record with the medication plan's associated QR-Code. The developed app is intended to provide such bridge and demonstrates the usefulness of the eMediplan. It enables the patient to have all data regarding his medication on his personal mobile phone and he can - if necessary - provide the current medication to the health professional.