Artificial Intelligence Acute Stroke Diagnostic and Decision Support Solution

The Vendor is required to provide an artificial intelligence (AI)-based acute stroke diagnostic and decision support solution
- Recent advancements in artificial intelligence (AI)–based imaging software offer an opportunity to enhance the detection of key imaging markers of stroke and share findings with stroke specialists and radiologists, reducing time to treatment decisions and streamlining communication and transfer processes.
- Benefits and Objectives:
• A single, integrated, near–real-time electronic acute stroke diagnostic decisionsupport information system accessible across all participating sites and clinical disciplines.
• Seamless integration with various diagnostic/medical imaging modalities, enabling efficient information exchange of diagnostic images.
• Seamless interoperability with radiology information system (RIS)/picture archiving and communication system (PACS) and sunrise clinical manager (SCM), enabling efficient information exchange for worklist prioritizations, and clinical documentation.
• The solution is expected to support interoperability with provincial patient registration and ADT workflows to ensure accurate patient identification, encounter management, and continuity of care across sites.
• The solution is intended to complement SCM, which serves as the provincial clinical information system and source of truth for patient data, by enhancing imaging interpretation, clinical notifications, and coordination of acute stroke workflows.
• Provincial clinical standardization of acute stroke pathway workflows across centers.
• Enhanced operational efficiency through automation, integrated work prioritization, and reduced duplication of effort.
• Improved key acute stroke metrics like median door-to-needle time (DTNT), CT-to-needle time, and percentage of eligible patients receiving timely treatment.
• Improved patient safety and quality of care through standardized workflows, expedited clinical decision support, reduction in unnecessary transfers and expedited transfers for endovascular therapy eligible patients.
• Improved reporting, analytics, and research capabilities to support quality improvement initiatives, program management, and ministry of health reporting requirements.
• A scalable, secure, and future-ready solution capable of supporting program growth, phased provincial implementation, and future innovations.
• An acute stroke diagnostic decision information system that supports consistent, high quality acute stroke health care delivery across state.
- Provides configurable clinical dashboards to support provincial stroke network collaboration.
- Provides configurable options (automated, manual and programmatic) to select images to be sent to the AI solution for processing.
- Provides near–real-time, event-based, secure and private alerts to stroke team members (e.g., neurologists, radiologists, tele stroke consultants etc.) when significant findings are detected across all participating agency sites and clinical disciplines.
- Supports integration into existing acute stroke pathway workflow and PACS environment. The solution will process and transmit images to PACS within less than 3 minutes of receipt. The solution is expected to provide ability to store, access and view AI processed images within PACS.
- Provides decision-support by enabling prioritization of diagnostic images indicative of stroke markers.
- Provides ability to access and view diagnostic images processed by the AI solution and clinical health record information on mobile/handheld devices.
- Supports provincial clinical standardization, enabling consistent workflows, documentation practices, and clinical processes across multiple locations.
- Enables multidisciplinary collaboration and communication, supporting stroke specialists, radiologists, nurses, other health professionals, pharmacists, and administrative staff.
- The solution provides data encryption both at rest and in transit, role-based access controls, and comprehensive audit logging of all system activity, including the ability to export audit logs to the third party privacy audit logging tools.
- Enables single sign on authentication through Microsoft Entra ID or Active Directory in multiforest and domain architectures.
- The solution shall ensure that PHI, diagnostic images, metadata, audit logs, and derived outputs are used solely for the provision of contracted clinical services and shall not be used for secondary purposes, including model training, retraining, product improvement, benchmarking, analytics, commercialization, or research activities, unless explicitly authorized in writing by Authority.