PhD Forum: Multimodal IoT and EMR based Smart Health Application for Asthma Management in Children

Area of Science:

• Pediatric respiratory health
• Biomedical data science
• Internet of Things (IoT) in healthcare

Background:

• Asthma impacts approximately 10% of children, causing significant healthcare burdens and societal costs.
• Current asthma management is complex due to multifactorial causes and individualistic triggers, challenging continuous patient monitoring.
• The healthcare IoT market is rapidly expanding, with wearables and health trackers generating massive amounts of data.

Purpose of the Study:

• To explore the challenges in managing pediatric asthma.
• To highlight the growing volume of health data from IoT devices.
• To address the difficulties in interpreting this data for effective asthma management.

Main Methods:

• Analysis of existing studies on pediatric asthma prevalence and management challenges.
• Review of market trends and data generation from healthcare IoT devices.
• Examination of the data interpretation problem in the context of asthma.

Main Results:

• Asthma is a major cause of pediatric hospital admissions, despite advancements in medication.
• The proliferation of IoT devices is creating an unprecedented volume of health data.
• Interpreting this large and diverse dataset for personalized asthma management remains a significant hurdle.

Conclusions:

• Effective pediatric asthma management requires addressing the complexities of trigger identification and patient monitoring.
• The increasing data from IoT devices presents both opportunities and challenges for healthcare.
• Further research is needed to develop methods for making sense of big data in healthcare for improved patient outcomes.