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Bringing the Clinic Home: An At-Home Multi-Modal Data Collection Ecosystem to Support Adaptive Deep Brain Stimulation

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Integrating protocol schedules with patients' personal calendars.

Andrea Civan¹, John H Gennari, Wanda Pratt

¹Biomedical and Health Informatics, School of Medicine, University of Washington, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium

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Summary

This study introduces a new method to add medical protocol care schedules to personal calendars. This empowers patients with better control over managing their healthcare appointments and demands.

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Area of Science:

Health Informatics
Patient Engagement
Clinical Protocol Management

Background:

Managing complex clinical protocol schedules can be challenging for patients.
Lack of integrated scheduling tools can lead to missed appointments and increased patient burden.
Existing systems often do not align with patients' personal organizational methods.

Purpose of the Study:

To present a novel approach for integrating clinical protocol care schedules into patients' personal digital calendars.
To enhance patient autonomy and proactive management of healthcare-related scheduling demands.
To improve the patient experience within protocol-based care pathways.

Main Methods:

Development of a system for seamless synchronization of protocol care timelines with common calendar applications.
User-centered design principles to ensure intuitive integration and usability for patients.
Testing the feasibility and patient acceptance of the proposed calendar integration method.

Main Results:

The proposed approach facilitates the incorporation of detailed protocol care schedules into patients' existing digital calendars.
Preliminary feedback suggests increased patient awareness and perceived control over scheduling.
The method demonstrates potential for reducing administrative burden associated with appointment management.

Conclusions:

Integrating protocol care schedules into personal calendars offers a promising strategy for patient empowerment.
This approach can lead to improved adherence and a more manageable patient experience in protocol-based treatments.
Further research should explore scalability and long-term impact on patient outcomes and healthcare system efficiency.