Public procurement notice: Contract Notice
Published: 2019-10-25
Buyer: Sykehusinnkjøp HF
Country: NO
Contract type: Services
Procedure: Open procedure
CPV classification: 48000000 | 48100000 | 48180000 | 72220000: Systems and technical consultancy services
Estimated value: 2000000 NOK
Submission deadline: 2019-11-28
Award criteria: The most economic tender

Technical requirements: The Department of Medical Genetics at Oslo university Hospital, hereafter referred to as the contracting authority, plans to procure software for use in diagnostic analysis of array comparative genomic hybridisation data.
The software must have a well organised interface so that it can quickly and accurately visualise and analyse its diagnostic array comparative Genomic Hybridisation (aCGH) samples with the Agilent Technologies Inc. architecture platform. The software must be able to handle samples individually and several simultaneously, in an efficient and productive way, with well integrated automatic processes for quick, precise and reliable interpretation of copy number variation in accordance with reporting guidelines, for e.g. ACMG. All processes and work flows must be well established and documented to give an exact diagnostic outcome. The software must be equipped with an automatic classification algorithm that the contracting authority can adjust in order to adapt internal reporting and classification guidelines. Publicly accessible genome databases must be part of the system, including ‘Genome Reference Consortium’ human genome (for example GRCh37/38) or the UCSC version (for example hg18, hg19, hg38). External databases, such as ClinVar, ClinGen, DECIPHER, OMIM, Segmental Duplications (UCSC), DGV, must be part of the system, integrated and visualied in an intuitive and well-organised way in order to help the contracting authority interpreter to analyse and classify variants that are present in diagnostic samples. Furthermore, the software must support the coupling of HPO phenotype to each detected variant and perform filtration and automatic variant classification based on phenotype criteria. Identification of mosaics, as well as definition of the cell fractions must be part of the software. All of the data must be stored in a local databased with defined user access permissions. The software must deliver a workflow where samples can be analysed by multiple client interpreters in a series in order to allow a thorough and validated analysis, including re-examination before the analysis is completed. Statistics data from the database, such as for example, the number of samples that belong to a defined type of discovery (for example benign, pathogenetic) must be easily obtained.
The software must be GDPR compatible, installed locally in the hospital infrastructure without the necessity of access to the internet in order to be fully utilised. The contracting authority will not accept cloud-based systems.
In addition, the software must be able to be used 24/7 with documented low downtime. The service provider must provide technical support and a quick response time, including site visits and documented regular software updates. The contracting authority would like a software provider with extensive diagnostics experience in aCGH data analysis and with an overview of updates, new functions and support. The software provider must have extensive experience with installation and configuration in a large ICT infrastructure, preferably previous experience within healthcare.


Award value: 2000000