Reference no: EM132649615

ICT321 Architecture and System Integration - University of the Sunshine Coast

Case Study: Victoria Health - Technology Strategy

As with all heath systems around the world, the Victorian State Government are confronting increasing cost pressures in delivering health services. As part of healthcare reform, the Victorian Department of Health and Human Services are developing a more person-centred system that focuses on keeping people healthy throughout their lives. Technology is at the centre of this new strategy to efficiently and cost effectively improve the health and wellbeing outcomes for its Victorian population.

The technology based strategic roadmap named Digitising health will enable clinical information to be shared safely, and in such a way as to meet individual needs and produce better and more cost-effective outcomes.

The 6 building blocks of Digitising Health are (Victoria Department of Health & Human Services 2016):
• Implementing digital clinical systems: reducing the reliance on paper-based systems when delivering clinical care.
• Shared clinical information: sharing relevant health and wellbeing information with those actively supporting the person.
• System integration and interoperability: providing a robust, secure and interoperable health network and systems infrastructure that provides equity of access for all individuals.
• Person-centred and place-based health and wellbeing: transitioning from provider-centred healthcare towards preventive health and personalised pathways centred on the individual and responsive to their needs, location and preferences.
• Preventive health and early intervention: focusing on prevention and early intervention to reduce the occurrence of chronic disease and start the journey to health and wellbeing early in life.
• Applied health research, education and analytics: using analytics and research to facilitate the proactive identification of consumer healthcare needs to better position the sector to meet future challenges.

After evaluating various platforms, Victoria Health finally decided to adopt a Service Oriented Architecture (SOA) for its future IT infrastructure. However, the managers from clinical services would like to gain a deeper understanding of:
• Computing and storage infrastructure design,
• Information integration,
• Application and Service Integration, and
• Technologies behind Application and Service Integration including a small specific demonstration of these technologies along with a brief explanation of the concepts and principles of how it works.

Part 1 - Integration Demo
For this integration demo, 3 data sources with fictitious records are provided, including:
• "clinics.csv" contains the details about the clinical offices,
• "clinic_locations.xml" contains the location coordinates for each clinic,
• "clinic_services.csv" contains a list of clinic offices and the services they offer.

Please follow the instructions carefully. There are two major components in the demo system:

1. Data integration demo. In this demo, you are required to implement a Python script file with the name ‘data_integration.py' to correctly merge records from different given data sources into one CSV output file named "clinic_service_locations.csv".

The Python petl framework is recommended for this implementation.
The output file "clinic_service_locations.csv" consists of the following fields (attributes):
• ClinicServiceID - a unique field identifying each record from clinic_services.csv
• Service - the service name from clinic_services.csv
• ClinicID - the ID for each clinic
• Suburb - the "Suburb" from clinics.csv
• Postcode - the "Postcode" from clinics.csv
• Latitude - the "Lat" value from clinic_locations.xml
• Longitude - the "Lon" value from clinic_locations.xml

2. RESTful Web service demo. In this demo, you are required to implement a Python scrip with the name ‘web_service.py' to provide two RESTful Web services:
• Get services by postcode. The server should accept a ‘getServices' query from the client browser similar to "/getServices?postcode=xxxx". After processing this request, the service should return a HTML document containing the list of available services for a given postcode, including the following fields (attributes): Service, Suburb.
• Get clinics by service name. The server should accept a ‘getClinics' query from the client browser similar to "/getClinics?service=xxxx". After processing this request, the service should return a HTML document containing the list of available clinics for a given service, including the following fields (attributes): ClinicID, Suburb, Latitude, Longitude.

The Python Bottle and petl frameworks are required for this implementation. Data for the service is from the output file "clinic_service_locations.csv" of the integration demo.

Part 2 - Integration Report
In addition to the above Demo code you are required to include a Report based on the above case study explaining the key concepts for:
• Application and Data Storage Infrastructure design,
• Information Management and Integration,
• Application and Service Integration, and
• The demo design and execution instructions.