Clinical Insights Manager

Philips Clinical Insights Manager (CIM) is a cloud-based, enterprise-wide platform built on the Health Suite Digital Platform. It enables hospitals to capture, store, and analyze high-fidelity patient data to support quality improvement, alarm management, research initiatives, and operational efficiency. CIM is a service-enabled solution designed to aggregate and filter retrospective data, including diagnostic-quality ECG, from both Philips and third-party devices. It provides intuitive dashboards and tools for navigating complex datasets, ensuring data integrity and security while complying with global privacy regulations.

Features

• Cloud-based platform with scalable architecture
• Aggregation and filtering of high-resolution retrospective data
• Diagnostic-quality ECG data support
• Intuitive dashboards for data navigation and querying
• Visualization of alarm KPIs over time and across units
• Historical benchmark comparisons for continuous improvement
• Alarm Audit Log Migration tool (AALM) for legacy data
• Custom report creation, automation, and sharing
• Telemetry equipment inventory tracking
• Arrhythmia severity alarm data access
• Patient monitoring status identification
• Time-on-telemetry evaluation
• Daily management and shift reporting tools
• Retrospective patient-specific data access (up to one year)
• Integrated view of demographics, waveforms, numerics, and alarms
• Patient data search, review, extraction, and de-identification
• Multi-cloud integration for scheduled data exports
• Data Access API for enhanced research and algorithm development
• AES 256 RSA encryption for data at rest (cloud and on-premises)
• HTTPS-only communication with microservices
• OAuth-based identity management and authentication

Capabilities

• Enables secure acquisition, archiving, and access to physiologic data
• Supports quality and research initiatives through Philips Clinical Professional Services
• Identifies actionable insights into alarm system performance
• Facilitates root cause analysis of alarm fatigue
• Aligns alarms, numerics, and waveforms around clinical events
• Supports export of single or multiple patient datasets
• Allows on-premises or cloud-based data de-identification
• Integrates with Google Cloud Storage, AWS S3, and Azure Blob
• Provides fast and easy data migration for research and analytics
• Supports algorithm development for diverse clinical use cases
• Performs security assessments and penetration testing
• Operates within a Virtual Private Cloud for enhanced security

Benefits

• Improves patient care and outcomes by reducing noise and alarm fatigue
• Enhances caregiver workflow and operational efficiency
• Strengthens data security and compliance with privacy regulations
• Enables data-driven decision-making and clinical process optimization
• Facilitates continuous improvement through historical comparisons
• Optimizes telemetry device utilization and readiness
• Supports proactive patient monitoring and resource management
• Empowers research and innovation through accessible, high-quality data
• Reduces administrative burden with automated reporting and data exports
• Provides scalable infrastructure for future growth and integration