KNOWLEDGE-ENABLED PERSONALIZED DASHBOARD FOR ASTHMA MANAGEMENT IN CHILDREN
| Autor: | Maninder Kalra, Dipesh Kadariya, Amit P. Sheth, Vaikunth Sridharan, Revathy Venkataramanan, Krishnaprasad Thirunarayan |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pulmonary and Respiratory Medicine
business.industry Interface (computing) Immunology Dashboard (business) Continuous monitoring Usability medicine.disease computer.software_genre Health care measurement_unit.measuring_instrument medicine Immunology and Allergy Medical emergency Web service business Peak flow meter Cloud storage computer measurement_unit |
| Zdroj: | Annals of Allergy, Asthma & Immunology. 121:S42 |
| ISSN: | 1081-1206 |
| DOI: | 10.1016/j.anai.2018.09.134 |
| Popis: | 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 Approved by IRB, 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 health care 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. Conclusions kHealthDash integrates and visualizes multimodal data and holds promise to aid the clinicians in better decision making for asthma management. |
| Databáze: | OpenAIRE |
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