Procurement Summary
Country : Canada
Summary : Project: Tender_20123 - Artificial Intelligence Solutions
Deadline : 13 Dec 2024
Other Information
Notice Type : Tender
TOT Ref.No.: 110389303
Document Ref. No. : tender_20123
Competition : ICB
Financier : Self Financed
Purchaser Ownership : Public
Tender Value : Refer Document
Purchaser's Detail
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Login to see detailsTender Details
Supply Ontario (SO) is seeking Bids from Bidders to establish a multi-vendor Vendor of Record (VOR) arrangement for Artificial Intelligence (AI), stream AI Scribe solutions. The new VOR arrangement will provide the entities in public Healthcare Sector with access to qualified vendors to provide AI Scribe solutions to meet their needs. This VOR arrangement will introduce a digital tool designed to reduce the administrative burden on healthcare practitioners, allowing them to focus more on patient care. This will enhance patient engagement, improve care coordination, and optimize clinical workflows. Scope of Work *Capture ambiently patient-physician conversations. *Transform these audio recordings into text using speech-to-text technology. *Generate a clinical note from the transcribed text using artificial intelligence (particularly employing a large language model).
Solicitation Type : RFB - Request for Bid (Formal)
Reference Number : 00004312593
Location : Ontario
Purchase Type : Not Stated
Dates Publication : 2024/11/19 01:25:00 PM EST
Closing Date : 2024/12/13 10:00:00 AM EST
Contact Information : Bandna Chawla
: Bandna.Chawla@supplyontario.ca
:
Description : Supply Ontario (SO) is seeking Bids from Bidders to establish a multi-vendor Vendor of Record (VOR) arrangement for Artificial Intelligence (AI), stream AI Scribe solutions. The new VOR arrangement will provide the entities in public Healthcare Sector with access to qualified vendors to provide AI Scribe solutions to meet their needs. This VOR arrangement will introduce a digital tool designed to reduce the administrative burden on healthcare practitioners, allowing them to focus more on patient care. This will enhance patient engagement, improve care coordination, and optimize clinical workflows. Scope of Work *Capture ambiently patient-physician conversations. *Transform these audio recordings into text using speech-to-text technology. *Generate a clinical note from the transcribed text using artificial intelligence (particularly employing a large language model). :
Documents
Tender Notice