Contract award notice
Results of the procurement procedure
Section I: Contracting
entity
I.1) Name and addresses
NHS Arden and GEM CSU
St John's House, East Street
Leicester
LE1 6NB
UK
Contact person: Mark Didcock
E-mail: mark.didcock@nhs.net
NUTS: UKF2
Internet address(es)
Main address: https://www.ardengemcsu.nhs.uk/
Address of the buyer profile: https://www.ardengemcsu.nhs.uk/
I.4) Type of the contracting authority
Body governed by public law
I.5) Main activity
Health
Section II: Object
II.1) Scope of the procurement
II.1.1) Title
1808 Risk Stratification Algorithms Tool for NHS AGEM CSU
Reference number: C321747
II.1.2) Main CPV code
72212517
II.1.3) Type of contract
Services
II.1.4) Short description
NHS Arden & GEM CSU sought competitive offers for the supply, installation, support, and maintenance of Risk Stratification Algorithms within a Tool able to cover a population of 3.3 million patients.<br/><br/>The Risk Stratification Algorithms/Tool must meet the following key requirements:<br/>Have a proven evidence base and be rigorously tested using standardised statistical metrics and support repeatable results from the same data set.<br/>Be continually updated and supported to reflect changes in clinical practice and patient behaviour.<br/>The tool should have had experience of operating in the NHS and with associated NHS data flows or equivalent.<br/>Must be predicated on clinical evidence including a combination of prescription, diagnosis, and event data rather than purely historical financial spend in secondary care.<br/>Be able to utilise, as a minimum, acute, and primary care data records as a basis for its stratification<br/>Use multiple years of data to support a longitudinal record which can be updated on an automated basis by AGCSU.
II.1.6) Information about lots
This contract is divided into lots:
No
II.1.7) Total value of the procurement
Value excluding VAT:
188 400.00
GBP
II.2) Description
II.2.2) Additional CPV code(s)
72212517
II.2.3) Place of performance
NUTS code:
UKF1
Main site or place of performance:
NHS Arden & Greater East Midlands Commissioning Support Unit
II.2.4) Description of the procurement
NHS Arden & GEM CSU sought competitive offers for the supply, installation, support, and maintenance of Risk Stratification Algorithms within a Tool able to cover a population of 3.3 million patients.<br/><br/>The Risk Stratification Algorithms/Tool must meet the following key requirements:<br/>Have a proven evidence base and be rigorously tested using standardised statistical metrics and support repeatable results from the same data set.<br/>Be continually updated and supported to reflect changes in clinical practice and patient behaviour.<br/>The tool should have had experience of operating in the NHS and with associated NHS data flows or equivalent.<br/>Must be predicated on clinical evidence including a combination of prescription, diagnosis, and event data rather than purely historical financial spend in secondary care.<br/>Be able to utilise, as a minimum, acute, and primary care data records as a basis for its stratification<br/>Use multiple years of data to support a longitudinal record which can be updated on an automated basis by AGCSU.<br/>The Risk Stratification Tool must have a range of predictive models with ability to include as a minimum:<br/>Current and predicted costs.<br/>Predicted resource utilisation.<br/>Risk of hospitalisation.<br/>The algorithms within the tool must be able to factor in sufficient historical data to enable the clinical evidence-base of the tool, including historical diagnosis of long-term conditions and support and provide disease profiling. It should capture the multidimensional nature of an individual’s health.<br/>The Risk Stratification algorithms must be able to be housed and run within the AGCSU data management environment to maintain our data controls and governance and allow it to be augmented by other data elements managed by the customer. All outputs of the tool must be programmatically readable, must output validation to measure success of the processing and use a server-based technology not a desktop to enable flexible and secure working.
II.2.5) Award criteria
Price
II.2.11) Information about options
Options:
No
II.2.13) Information about European Union funds
The procurement is related to a project and/or programme financed by European Union funds:
No
Section IV: Procedure
IV.1) Description
IV.1.1) Type of procedure
Competitive procedure with negotiation
IV.1.8) Information about Government Procurement Agreement (GPA)
The procurement is covered by the Government Procurement Agreement:
Yes
IV.2) Administrative information
IV.2.1) Previous publication concerning this procedure
Notice number in the OJ S:
2024/S 000-015058
Section V: Award of contract
A contract/lot is awarded:
Yes
V.2 Award of contract
V.2.1) Date of conclusion of the contract
15/11/2024
V.2.2) Information about tenders
Number of tenders received: 1
The contract has been awarded to a group of economic operators:
No
V.2.3) Name and address of the contractor
Johns Hopkins HealthCare LLC
7231 Parkway Drive, Suite 100
Hanover, Maryland
21076
US
NUTS: US
The contractor is an SME:
No
V.2.4) Information on value of the contract/lot (excluding VAT)
Initial estimated total value of the contract/lot:
Total value of the contract/lot:
: 188 400.00
GBP
V.2.5) Information about subcontracting
Section VI: Complementary information
VI.3) Additional information
This service has been awarded using Regulation 32(2)(a) of the negotiated procedure without prior publication, in line with the PCR15 Regulations; following a non-award of contract ref: (2024/S 000-015058).<br/><br/>The successful provider did not meet the advertised Social Value requirement of the initial process advertised and following clarification and assurance from the provider of their ability, has been awarded the contract under Regulation 32.
VI.4) Procedures for review
VI.4.1) Review body
The High Court
The Strand
London
WC2A 2LL
UK
Internet address(es)
URL: https://www.judiciary.uk/courts-and-tribunals/high-court/
VI.5) Date of dispatch of this notice
26/11/2024