Case studies. |
Pinnacle Midlands Health Network is the operational arm of the Pinnacle group, designed to deliver primary health organisation functions and support all Pinnacle general practices to thrive. The Pinnacle network manages the healthcare of nearly half a million people enrolled with 86 general practices in Gisborne, Taranaki, Rotorua, Taupō-Turangi, Thames-Coromandel and the Waikato. In 2009 they set out a vision for “No child left behind”. This resulted in the design of the child health service and companion IT solution. The Ministry of Health felt the IT solution had national value and funded the proof of concept, naming the new solution NCHIP – National Child Health Information Platform.
The goal of NCHIP is to track all children under the age of six who are born in our region’s and to ensure they are linked with a lead maternity carer, general practice and well child provider, then to ensure their health milestones are met. Health milestones include metabolic screening, newborn hearing screening, well child checks, immunisations, oral health checks and B4School checks.
The proof of concept was rolled out in the Waikato, Tairawhiti and Taranaki district health board regions. The northern region district health boards decided to implement the solution for Northland, Auckland and Waitamata regions which consisted of engaging the vendor of the solution to create a “final” version of NCHIP which was significantly different to what Midlands had implemented.
The goal of NCHIP is to track all children under the age of six who are born in our region’s and to ensure they are linked with a lead maternity carer, general practice and well child provider, then to ensure their health milestones are met. Health milestones include metabolic screening, newborn hearing screening, well child checks, immunisations, oral health checks and B4School checks.
The proof of concept was rolled out in the Waikato, Tairawhiti and Taranaki district health board regions. The northern region district health boards decided to implement the solution for Northland, Auckland and Waitamata regions which consisted of engaging the vendor of the solution to create a “final” version of NCHIP which was significantly different to what Midlands had implemented.
THE CHALLENGE.
When building the proof-of-concept, Resolution8 created a means to gather and transform the data from several legacy systems so that it could be consumed by the NCHIP solution. Data was provided by National Immunisation Register, metabolic screening services, B4Schools, Plunket and other well child providers in different formats, at different frequencies and based on different data provision rules.
In some cases, the data sharing agreements allow for data to be filtered once provided, yet in other cases, those rules meant the data could only be provided for specific children. Further to this some data would require business rules and interpretation before being consumable by NCHIP. The volume of data varied between each data provider; therefore a cost effective and efficient solution was then created by Resolution8.
In some cases, the data sharing agreements allow for data to be filtered once provided, yet in other cases, those rules meant the data could only be provided for specific children. Further to this some data would require business rules and interpretation before being consumable by NCHIP. The volume of data varied between each data provider; therefore a cost effective and efficient solution was then created by Resolution8.
HOW WE HELPED.
The northern region project team required the same solution but at a national scale and capable of greater volumes. In response Resolution8 project managed and created the NCHIP Data Bridge – taking the core logic and designs and reconfiguring them in the Amazon Web Services (AWS) cloud.
Key functions of the solution are:
Key functions of the solution are:
- Accepting data from legacy systems in various formats
- Tracking what data has and has not already been submitted to the NCHIP system – avoiding repeat sending
- Added in smarts to help load balance to cater for NCHIP limitations
- Transformation and interpretation of legacy data into standardised formats
- Easy to access monitoring of the solution and data feed provision