Objective: This project evaluates how AI-driven continuous monitoring and wearable sensors can support Parkinson’s disease (PD) nurses in optimizing medication schedules, assessing treatment efficacy, and detecting early signs of disease progression.

Background: PD nurses play a vital role in patient care, providing education, symptom management, and emotional support. Traditional assessments rely on infrequent clinical visits, subjective patient reports, and caregiver observations, prone to biases and are inadequate to enable precision care. AI-driven wearable sensors offer continuous monitoring, enabling data-driven decisions, proactive interventions, and personalized care.

Method: In this real-world pilot project, individuals with PD wore smartwatches that continuously tracked motion data. Data was processed by an AI algorithm in the cloud to generate symptom and treatment response insights. PD nurses accessed this data before and during online consultations to enhance patient discussions and optimize care. Three cases illustrate the potential of a novel AI-assisted nurse care model.

Results: A 73-year-old woman with PD for >10 years experienced strong motor fluctuations, requiring constant trial and error with medication adjustment by her carer. Continuous symptom data helped her visualize fluctuations, understand their link to medication, and communicate more effectively with her neurologist, leading to an optimized treatment plan. A 50-year-old woman wore the sensor for 4 weeks before her first PD nurse consultation, allowing her to understand her treatment response, and motivated her to pursue advanced therapy previously avoided. A 55-year-old woman with PD for 12 years used the sensor for over a year, aiding self-management and stabilizing symptoms. As disease progressed, PD nurse consultations helped her adapt lifestyle to improve her quality of life.

Conclusion: AI-driven remote monitoring enhances PD nurses’ ability and efficiency to track disease progression, detect fluctuations, visualize medication effects, and ultimately provide personalized and timely care. It strengthens patient communication, supports personalized care, and empowers self-management. Most importantly, it allows nurses to focus on improving patients’ and caregivers’ quality of life, potentially reducing hospital visits and enhancing symptom control, medication adherence, and caregiver support.

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MDS Abstracts - https://www.mdsabstracts.org/abstract/enhancing-parkinsons-nurse-care-with-ai-driven-remote-symptom-monitoring/