Philips IntelliSpace Critical Care and Anesthesia (ICCA) is a Class IIb Software as a Medical Device (SaMD) designed to transform the high-acuity care environment, including Intensive Care Units (ICU) and perioperative settings. The system is the evolution of a long-standing product line (formerly HP CareVue Chart and IntelliVue Clinical Information Portfolio).
ICCA addresses the challenges of data-overload and complex workflows by consolidating critical patient data from various sources—including bedside monitors, infusion pumps, ventilators, and laboratory systems—into a single, intuitive flowsheet. This integration is designed to empower clinicians with rapid, reliable access to comprehensive patient information, supporting timely and informed decision-making.
Key Benefits
- Enhanced Clinical Decision Support: Embedded tools and evidence-based clinical decision support bundles (e.g., for sepsis, ventilator-associated pneumonia (VAP), and diabetes) help identify potential adverse events and ensure adherence to best practices.
- Streamlined Documentation: Provides standardized, structured documentation tools across units, which actively supports enhancement of documentation accuracy and streamlines therapeutic workflow efficiency.
- Improved Interoperability: Seamlessly integrates with Electronic Medical Records (EMRs) using HL7 capabilities and connects with Philips and non-Philips medical devices via the Philips Medical Device Information Platform (MDIP) and IntelliBridge System.
- Longitudinal Patient Record: The Care Continuum feature displays data from both the Operating Room (OR) and the ICU as an ongoing record of care, focusing on intake/output, fluid totals, and key therapies.
Target Users and Use Cases
- Target Users: Intensivists, Anesthesiologists, Critical Care Nurses, Respiratory Therapists, and Hospital IT/Informatics teams.
- Use Cases: ICU documentation and charting, Anesthesia documentation, Clinical decision support, Protocol compliance monitoring, Quality improvement initiatives, and Clinical research using the built-in Data Analysis and Reporting (DAR) toolset.