Planning

Market Research for Medical Device Standalone Software and Consultancy Support

UNIVERSITY OF EDINBURGH

This public procurement record has 1 release in its history.

Planning

03 Mar 2025 at 10:58

Planning Notice
Summary of the contracting process

The University of Edinburgh is currently in the planning stage for a procurement process titled "Market Research for Medical Device Standalone Software and Consultancy Support." This process falls under the software package and information systems industry category and focuses on developing a Clinical Decision Support Tool for diagnosing acute heart attack in the Emergency Department. The procurement includes creating standalone software fit for UKCA marking as a Class I Medical Device and obtaining consultancy support for the regulatory process. Key deadlines include the advisory contact date of Friday, 21 March 2025, while potential vendors are expected to provide feedback and market capabilities by 1 August 2025. The University is based in Edinburgh, United Kingdom (UKM75 region).

This tender presents significant business growth opportunities for companies specialising in software development, particularly in the healthcare and medical devices sector. Firms with expertise in regulatory consultancy, machine learning, and medical software certification will find this tender especially relevant. By engaging in this process, businesses can establish a valuable partnership with a prestigious academic institution and contribute to an innovative healthcare solution. Companies well-versed in compliance with UK medical device regulations and capable of delivering robust, certified software solutions are ideally suited to compete in this procurement.

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Notice Information

Notice Title

Market Research for Medical Device Standalone Software and Consultancy Support

Notice Description

The University of Edinburgh is developing a Clinical Decision Support Tool for diagnosing acute heart attack in the Emergency Department. The research team involved has recently developed and published the research surrounding the machine learning algorithm (XGBoost)(https://www.nature.com/articles/s41591-023-02325-4). An example of the algorithm's inputs and outputs for educational purposes only are available as a shiny app (https://decision-support.shinyapps.io/code-acs/). The University seeks to commission external solutions and services for the following tasks: 1. The creation of standalone software which will be fit for UKCA marking as a Class I Medical Device under the current legislation. 2. Consultancy support for the regulatory process, providing systems and expertise to ensure all relevant legislation has been complied with. This will include any steps required for self-certification and device registration. The objective of this exercise is to obtain up-to-date information and feedback from potential vendors to understand market capabilities.

Lot Information

Lot 1

The University of Edinburgh is developing a Clinical Decision Support Tool for the diagnosis of acute heart attack in the Emergency Department. The research team involved has recently developed and published the research surrounding the machine learning algorithm (XGBoost)(https://www.nature.com/articles/s41591-023-02325-4). An example of the algorithm's inputs and outputs for educational purposes only are available as a shiny app (https://decision-support.shinyapps.io/code-acs/). The University seeks to commission external solutions and services for the following tasks: 1. The creation of standalone software which will be fit for UKCA marking as a Class I Medical Device under the current legislation. 2. Consultancy support for the regulatory process, providing systems and expertise to ensure all relevant legislation has been complied with. This will include any steps required for self-certification and device registration. The objective of this exercise is to obtain up-to-date information and feedback from potential vendors in order to understand market capabilities. Interested suppliers are advised to contact the University via this notice if they are interested in knowing more about one, or both, of the requirements by Friday 21 March 2025.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-04e8e9
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/007633-2025
Current Stage
Planning
All Stages
Planning

Procurement Classification

Notice Type
Planning Notice
Procurement Type
Standard
Procurement Category
Goods
Procurement Method
Not Specified
Procurement Method Details
Not specified
Tender Suitability
Not specified
Awardee Scale
Not specified

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

CPV Codes

48000000 - Software package and information systems

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
3 Mar 202511 months ago
Submission Deadline
Not specified
Future Notice Date
31 Jul 2025Expired
Award Date
Not specified
Contract Period
Not specified - Not specified
Recurrence
Not specified

Notice Status

Tender Status
Planned
Lots Status
Planned
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
UNIVERSITY OF EDINBURGH
Contact Name
Not specified
Contact Email
aoughton@ed.ac.uk
Contact Phone
+44 1316502759

Buyer Location

Locality
EDINBURGH
Postcode
EH1 1HT
Post Town
Edinburgh
Country
Scotland
Major Region (ITL 1)
TLM Scotland
Basic Region (ITL 2)
TLM1 East Central Scotland
Small Region (ITL 3)
TLM13 City of Edinburgh
Delivery Location
TLM75 City of Edinburgh
Local Authority
City of Edinburgh
Electoral Ward
City Centre
Westminster Constituency
Edinburgh East and Musselburgh

Further Information

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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