Patient centric identification and association.

Area of Science:

• Biomedical Informatics
• Health Systems Engineering
• Patient Safety Technology

Background:

• Increasing medical device complexity and reduced staffing lead to patient information management challenges.
• These challenges contribute to equipment errors, patient dissatisfaction, and compromised patient safety.
• Existing systems struggle with accurate patient-device-staff association, impacting critical information delivery.

Purpose of the Study:

• To introduce a Patient Centric Identification and Association Platform to enhance clinical information management.
• To address difficulties in managing patient information due to technological complexity and staffing issues.
• To improve patient safety by ensuring accurate identification and association of patients, staff, and equipment.

Main Methods:

• Development and implementation of a "Patient Centric Identification and Association Platform".
• Integration of patient, staff, and device identification using technologies like RFID and barcodes.
• Establishment of a Biomedical Device Information Network for data sharing and alarm management.

Main Results:

• Successful integration of patient, device, and care provider identification at Memorial Sloan-Kettering Cancer Center (MSKCC).
• Implementation of methodologies for managing and filtering alarms, reducing nuisance alarms.
• Enabled direct distribution of critical information to care providers via dedicated devices.

Conclusions:

• Patient Centric Identification and Association is a key enabling technology for enhanced patient care.
• The platform significantly improves patient safety and streamlines clinical information management.
• This approach provides a proactive response to regulatory requirements for patient safety initiatives.