Clinicians lacked accurate between-appointment data on Parkinson's disease patients' fluctuating 'on' and 'off' medication states, especially for people in remote areas or with mobility limitations, which made symptom control assessment and medication optimization difficult.
Reported impact
The solution gives neurologists more frequent access to structured patient data, supports more effective medication management and treatment planning, simplifies self-reporting for patients, improves access for people in remote areas or with mobility issues, and establishes a scalable telehealth architecture for disease monitoring.
Central Coast Local Health District clinicians worked with DXC Technology and SAP on the Parkinson's disease Spiral Analysis Project to digitize remote symptom monitoring for Parkinson's disease patients. A mobile application lets patients capture hand-drawn spirals outside appointments and submit them with symptom logs, blood pressure, current sentiment, and medication status. Those patient-generated data points are passed to an AI engine that analyzes the spiral and related inputs to classify whether the patient is in an 'on' or 'off' state. The resulting status and submitted observations are integrated into a desktop view for neurologists, giving them a longitudinal picture of symptom control and supporting treatment decisions. The solution is built on SAP Business Technology Platform (BTP) for both patient mobile and clinician desktop deployment. SAP created the AI model and algorithm for the analysis, while DXC handled solution delivery, user interface development, and integration with SAP BTP services.
Patients enter spiral drawings, symptoms, blood pressure, sentiment, and medication information in the mobile application. Those submissions are uploaded and passed to the AI engine, which classifies each patient's 'on' or 'off' status. The AI result and raw patient data are then integrated into the desktop clinician view on SAP Business Technology Platform (BTP) so neurologists can review trends and adjust treatment.
"For patients who live in remote areas or have mobility issues, it will improve access to their neurologist and may reduce the need for a face-to-face appointment."
"Neurologists gain access to critical patient data through the clinician user interface more frequently."
"The mobile application is designed for PD patients to log their symptoms and spiral drawings, which are uploaded and sent to their neurologist."
"The solution is built on the SAP Business Technology Platform (BTP) for deployment on desktop for clinician use and mobile for patient use."
"This data is then passed onto the artificial intelligence (AI) engine to determine a patient’s “on” or “off” status."
"This status, along with the data points collected by the patient app, is integrated into the desktop view of the solution for clinicians to devise more optimal PD patient management and treatment plans."
"obtaining the data to accurately track a patient’s ‘on’ and ‘off’ states is often limited to clinician appointments or through patients self-reporting their symptoms"
Review how this reference was scored and trace each normalized claim back to its documented source.
Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
Related
Google Cloud Sample Archived · Oct 9, 2026 Angelus Founded by a dentist whose first product was based on a patent, Angelus competes on differentiation, developing bioceramic products and fiberglass post lines that require clinical proof, intellectual property… 50,000 pages of proprietary data now powering AI-generated documents Gemini Google Cloud Sample Modified · Oct 9, 2026 Lillia Lillia needed to reduce the friction of manual meal, medication, and vital tracking for chronic disease patients while freeing human care coaches from routine tasks and still meeting enterprise reliability and data… Automates 95% of early patient care interactions using Gemini APIs Artifact Registry · Cloud Build · Cloud Load Balancing Google Cloud Sample Modified · Oct 9, 2026 Quadrivia Quadrivia needed a healthcare assistant that could automate clinical work in real time, preserve patient safety, and connect to electronic health records without sacrificing latency or privacy. Cloud Healthcare API · Gemini Flash · Google Kubernetes Engine 
