AssistIQ
AssistIQ captures supplies, implants and tissue used in operating rooms and procedural areas. Staff present a package to an iPad camera, and computer vision identifies the item and extracts details such as expiration dates, lot numbers and serial numbers. Clinicians verify the result before the information enters hospital workflows.
Capture feeds charge reconciliation, inventory depletion, recall tracking and usage analysis. Epic and ERP connections allow clinical, supply chain and finance teams to work from the same product record. The approach reduces reliance on barcodes and manually maintained item lists. Named deployments include Allina Health, Owensboro Health, Northwell Health and CHUM, with results focused on capture accuracy, financial recovery and operational efficiency.
Capability Axes
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Computer vision powers supply recognition and captures package details for hospital records. The broader platform also handles charge reconciliation, inventory reporting and usage analytics, retaining operational value beyond the recognition model itself.
Nurses verify captured information before it flows into hospital systems, and expiration alerts support intervention. Unrecognized products can be addressed for later encounters. Confidence thresholds, mandatory escalation conditions and responsibility for unresolved recognition failures are unspecified.
Computer vision learns product appearance from a proprietary supply dataset and improves recognition of unfamiliar items. AIQ Supply Cloud supports this process. Production model identifiers, reproducible training details and a formal update history remain unspecified.
AssistIQ develops its recognition capability through AIQ Supply Cloud and a proprietary product dataset. This identifies an internal model development path. The full external service provider inventory and any downstream model retention or training conditions remain unspecified.
Owensboro Health's March 2026 update covers more than 13,000 surgical cases over a year, with 98% to 99% capture accuracy and approximately 12% higher net supply revenue. This is a customer account without independent controlled validation.
Package images and device context enter the service, with incidental personal information covered by its privacy policy. Deidentified information can support product improvement without reidentification. Retention deadlines, model training limits and an AI safety incident process remain unspecified.
HIPAA compliance accompanies a service privacy policy covering AIQ Capture images, feedback and incidental personal information. The app minimizes staff identification. A readable BAA, applicable contract tier and obligations for protected information subcontractors remain unspecified.
SOC 2 Type II compliance is asserted for the platform alongside HIPAA controls. The public material does not provide the underlying audit report or its scope and audit period, so artifact details remain unverified.
The platform captures supply use, charges, expiration dates and inventory movements. These are operational functions supporting hospital staff. It does not position the recognition system as an autonomous diagnostic or treatment device.
Development with CHUM includes staged departmental use and adaptation to difficult lighting, product angles and packaging states. This describes practical testing and iteration, but a formal model governance framework or comparative performance across those conditions is unspecified.
Users have a direct correction route through the privacy officer, and capture records support review. Recognition rates are described as guaranteed without remedy terms. The material does not establish compensation or a contractual correction obligation for recognition failures.
HL7 integration synchronizes Epic OpTime, Cupid and Radiant case lists, picklists, usage and waste. Allina's deployment sends recognized products into Epic and Workday, while Owensboro uses Epic workflows in production. The connection supports inbound context and outbound capture.
Customer managed iPads in procedural rooms connect to the supply platform. Processing may occur outside Canada or Quebec. A committed hosting region, tenant isolation model and the locations used by service providers remain unspecified.
Commercial access begins through a sales demonstration. Subscription amounts, hardware costs, billing units and implementation fees are unspecified, so reported revenue gains and savings cannot establish what a hospital would pay.
Named results cover operating rooms, catheterization and electrophysiology laboratories at Owensboro and Allina. CHUM deployments also span thoracic surgery, gynecology, colorectal surgery and endoscopy. The demonstrated scope matches the focused supply and implant capture workflow.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | BAA Tier | Implementation | Source |
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Contact sales
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Sales demonstration; billing basis unspecified. | HIPAA compliance claimed; BAA terms and tier unspecified. | No implementation or hardware amount stated. | Vendor Published |
Hospital revenue and savings figures describe customer outcomes, not subscription prices.