12258706 CANADA INC: federal grants and contributions: 10 agreements; $1.3M value; 2 departments; 4 programs.
Assay record ASY-CA-0LG80O0104 · Cite as: Assay Systems, “12258706 CANADA INC: federal grants and contributions”, https://assay-systems.com/register/ca/grants/r/12258706-canada-inc/
This project aims to modernize the healthcare purchasing journey by transforming the manual competitive bidding cycle into a streamlined, end-to-end digital system. This transition is designed to align with international value-based procurement standards, ensuring that purchasing decisions are based on long-term patient outcomes and quality of care.
This project will enhances MedReddie's AI procurement platform for the global healthcare market. Expansion into international markets will refine scalability and optimize buyer/supplier portals. MedReddie AI streamlines medical procurement, saving 250+ hours/project and potentially millions in reduced procurement costs for the health sector.
The project aims to develop, test, and deploy Large Language Models (LLMs) to summarize large amounts of information about medical equipment being purchased in a procurement process by hospitals and clinics.
Hire a consultant to enhance features of existing technology
This project aims to develop and enhance an AI-powered healthcare supply chain platform that enables value-based healthcare delivery through process digitization, data intelligence insights, and decision-making tools utilizing predictive analytics and recommendations.
Harness the power of artificial intelligence to provide hospitals and buyers with the information they need to discover innovative solutions, expedite stakeholder collaborations with suppliers, build RFP's in hours and improve data insights.
This project is to collect and upload data on medical solutions, including new products, innovations, and supplier acquisitions. The recent graduate will research specific products based on client requests and upload the findings to a database. This focused work is crucial for maintaining the quality and integrity of the firm's database and will ultimately help their clients discover new solutions.
Further develop and maintain a medical equipment database leveraging artificial intelligence (AI), natural language processing (NLP), and machine learning techniques to ensure that it contains up-to-date data with value-based methodologies. The ultimate goal is to make it faster and easier for hospitals to adopt new medical equipment innovations.
This project creates a minimum viable product (MVP) for testing and validating the overall product platform that disrupts procurement and selling in the healthcare industry to improve access to innovative technologies for patients and clinicians.
This proposed project has a main goal to improve RFP process in hospitals for both clinicians and suppliers.
Contains information licensed under the Open Government Licence – Canada. Source: Government of Canada proactive disclosure of grants and contributions (open.canada.ca, dataset 432527ab-7aac-45b5-81d6-7597107a7013), 1,327,352 rows as published, collapsed to one agreement per agreement number (per reference number where none is given) at its latest amendment, which carries the full agreement value. Years are the agreement start year. Agreements with individuals are counted but not named.