Document Type

Poster

Publication Date

2018

Abstract

Introduction: Childhood Asthma is a significant public health concern worldwide. Effective management of childhood asthma requires close monitoring of disease triggers, medication compliance and symptom control. The recent growth of the Internet of Things (IoT) based devices has enabled continuous monitoring of patients. kHealth-Asthma is a knowledge-enabled semantic framework consisting of IoT enabled sensors to record patient symptoms, medication usage and their environment. For each patient, 29 diverse parameters with 1852 data points are collected daily. kHealthDash platform enables real-time visual analysis at an individual and cohort level over such high volume, high variety data.

Methods: The kHealth kit was given to 100 asthmatic children (5 to 17 years of age) for a period of one or three months each. The kit consists of an Android app-based questionnaire to record symptoms and medication usage, Fitbit to track activity and sleep, peak flow meter to measure PEF and FEV1, Foobot to monitor indoor air quality and web services to obtain outdoor environmental observations. Data collected are pushed to a private cloud storage in near real-time and visualized using kHealthDash. Five healthcare providers evaluated the effectiveness of kHealthDash by answering questions on data interpretation.

Results: Providers reported that analyzing data with kHealthDash was 65% easier than using data in tabular format. The System Usability Score for kHealthDash is 80.5 (>68.5 - threshold), implying that kHealthDash is a user-friendly interface.

Conclusion: kHealthDash integrates and visualizes multimodal data and holds promise to aid the clinicians in better decision making for asthma management.

Comments

Presented at the American College of Allergy, Asthma & Immunology Annual Meeting (2018).

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