Purchase Orders over €20,000 Q2 2020

Spending records

Payment date^*	Supplier	Description	Kind	Amount
30 Jun 2020	B Braun Medical Ltd	Equipping of the NCHI and Satellite Centres	Purchase Order	€74,906.00
25 Jun 2020	KPMG	Financial Advisory Services	Purchase Order	€35,150.00
16 Jun 2020	Ciaran Fahy	Standing Conciliator Services	Purchase Order	€250,000.00
03 Jun 2020	HLM Architects	Design Team Fees	Purchase Order	€75,315.24
26 May 2020	Eversheds	Legal services	Purchase Order	€20,000.00
18 May 2020	BAM	Contract variation Satellite Centres	Purchase Order	€48,103.00
15 May 2020	Shanedara t/a Convergent (previously Pawpear)	Document Management and Process Control Software	Purchase Order	€46,200.00
01 May 2020	McCann Fitzgerald	Legal services	Purchase Order	€500,000.00
01 May 2020	BDP	Design Team Fees	Purchase Order	€800,000.00
28 Apr 2020	Turner & Townsend	Design Team Fees	Purchase Order	€106,160.00
16 Apr 2020	Linesight	Design Team Fees	Purchase Order	€450,000.00
16 Apr 2020	Linesight	Design Team Fees	Purchase Order	€800,000.00
08 Apr 2020	Willis Towers Watson	Combined Insurance - Increase in Value & Extended Period	Purchase Order	€708,313.26
07 Apr 2020	Medray Imaging Systems Limited	Equipping of the NCHI and Satellite Centres	Purchase Order	€235,500.00

^* Payment date may be the end of the reporting quarter when the entity does not publish an exact date.

How to read these figures

These are reported values from published purchase order and payment records — not verified cash paid, and not total spending by this organisation. A row may be a purchase order, a payment, or another reported transaction; the source files often do not say which.

Coverage and quality vary. Some fields are blank, supplier names are free text (the same firm can appear under many labels), and descriptions are inconsistent rather than a controlled taxonomy. An amount alone says nothing about value for money and it may or may not include VAT.

Records are retrieved from each organisation’s published files such as spreadsheets, PDFs, and other formats of uneven quality. Extraction techniques (including automated parsing) can introduce gaps, misreads, or incomplete rows when source layout or quality is poor. Treat the data as a starting point for investigation, not a definitive ledger.

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