Payments Over €20,000 Q1 2013

Spending records

Payment date^*	Supplier	Description	Kind	Amount
31 Mar 2013	Lis Nixon Associates Ltd	26/3-25/6/13 Payment 5 of 12	Purchase Order	€50,440.00
31 Mar 2013	Value Based Health Solutions	Mar-May'13 Payment 6 of 12	Purchase Order	€49,210.00
31 Mar 2013	PA Consulting Services Ltd	Oct'12 Scheduled Care Perform. Improve.	Purchase Order	€39,483.00
31 Mar 2013	PA Consulting Services Ltd	Nov'12 Scheduled Care Perform. Improve.	Purchase Order	€87,822.00
31 Mar 2013	PA Consulting Services Ltd	Dec 2012 Scheduled Care Performance Imp	Purchase Order	€38,745.00
31 Mar 2013	Centre for Diagnostic	13/12/2012 Scheduled Care meeting et al	Purchase Order	€30,760.00
31 Mar 2013	Dental Health Foundation	Secretariat Costs Feb'13	Purchase Order	€28,458.89
31 Mar 2013	Dental Health Foundation	Secretariat services: Jan 2013	Purchase Order	€27,412.79
31 Mar 2013	University College Cork	Efficiency Review BreastCheck 4/1/13	Purchase Order	€25,834.29
31 Mar 2013	Irish Estate Management	rent + s/c 1/4/13-30/6/13-ir life centre	Purchase Order	€32,019.22
31 Mar 2013	Irish Estate Management	rent + s/c 1/1/2013 - 31/3/2013	Purchase Order	€32,019.22
31 Mar 2013	Hewlett-Packard Ire. Ltd.	MS licences Dec 2012	Purchase Order	€80,954.83

^* 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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