Case Study for Remote Patient Monitoring

A leading university movement disorders clinic sought a more effective way to monitor chronically ill neurology patients with Parkinson’s disease. The traditional care model offered limited visibility into patient conditions outside the clinic, leading to delayed interventions and missed opportunities for early care adjustments.

Partner/Customer

Movement Disorders Clinic, patients with predominantly Parkinsons disease

Environment

Outpatient neurology, PROMs, symptome tracking with wearables, symptom-dependent triggered consultations

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Key Challenges

• Lack of Feedback Between Visits: Clinicians had minimal insight into symptom progression during the long intervals between scheduled appointments.
• Inflexible Scheduling: Appointment frequency was not dynamically adjusted based on the patient’s current condition
• Absence of Early Warning Mechanisms: Subtle changes in symptoms were often missed until they led to noticeable deterioration.
• Underused Patient Feedback: Existing PROMs and symptom-tracking tools were not integrated into clinical workflows and therefore had limited impact on decision-making.

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Solution using dotbase

• Scheduled PROMs and Digital Symptom Diaries: Patients completed structured questionnaires and daily symptom logs via mobile, allowing real-time tracking of fluctuations.‍
• AI-Driven Alerts for Clinical Deterioration: Machine learning models analyzed incoming patient data to detect patterns.‍
• Connected Follow-Up Pathways: When deterioration was detected, tailored follow-up actions were able to be triggered.‍
• Deep Integration with dotclinic Workflows of PROMs: All data and alerts were routed directly into the clinic’s existing dotclinic system, ensuring minimal disruption to clinical operations and full continuity of care.

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Results

• Optimal Intervention Time: Clinicians were able to respond to symptom changes significantly earlier than before.
• Improved Treatment Adherence: Continuous monitoring and more frequent touchpoints led to higher levels of patient engagement and compliance.‍
• Increased Patient Satisfaction: Patients reported feeling more supported and involved in their care, contributing to better clinical outcomes.
• Improved Patient Insights: Symptoms entered at home led to significant increase in patient insights

With dotbase, remote patient monitoring evolved from a supplementary tool to an integral part of personalized care for Parkinson’s patients. The clinic can now deliver proactive, data-informed care that adapts to the real-time needs of each patient, enhancing both clinical efficiency and patient quality of life.

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