Development of a Clinical Data Analytics Platform

Location: Incubator Hub, Western Sydney University, NSW

Duration: 4 months

Proposed start date: ASAP

Keywords: Databases, Database Engineering, Software Design

Project Background

The Australian healthcare sector has seen a rapid transition over the last 10 years in terms of technology adoption and reliance on electronic medical records. As a result of this technology, local healthcare providers are now generating and storing large quantities of clinical and business-related data. Byte IQ, under the parent company REND Tech, aims to design a data analytics platform to connect to a healthcare provider’s data source and provide them with 40+ prepopulated dashboards and reports.

They require a competent software and database engineer to design and implement this platform with the opportunity to become the product specialist. The information generated will give the provider (data source owner) detailed insights on business performance and how to better deliver healthcare to their patients. The platform will also be used to enable third party entities (with legal approval) to access such data sets in an encrypted and de-identified manner for the purposes of research.

Research to be Conducted

1. Build a demo/concept platform which is connected to a single data source and can provide an initial 5 dashboards and reports. The Data sources will include the following applications:
a. CorePlus: Saas based with API
b. Medical Director/Pracsoft: : Local install W SQL DB
c. Best Practice: Local install W SQL DB
d. Genie: Local install W 4D flat file
2. The platform is based on SaaS architecture where users can register and sign in to the platform
3. RTA has a high-level architecture document/plan to share with the right team member
4. Demonstrate an algorithm which picks up on trends and gives the client suggestions based on historic data. For example, over the last 12 months the average billing per doctor has decreased by 12%
5. Demonstrate a platform which offers an audit trail on client access (location, IP, device Mac etc.)

Skills Required

Byte IQ are looking for a PhD student with the following skills:

  • Advanced knowledge in databases and database engineering
  • Advanced knowledge in software design

Expected Outcomes

The outcome of this project is to develop a prototype of a software platform that provides the client with 5 sample reports and dashboards integrated with the main clinical applications on the Australian market. The intern will then use this information to demonstrate how data is used in the healthcare sector and explore further opportunities for analysis of this rich data pool. The results of this internship will validate that the healthcare industry is in need of an analytics platform to assess the efficiency of healthcare service delivery models. REND Tech will retain a prototype of the platform which will be used to study and deliver a product to the market.

Additional Details

The intern will receive $3,000 per month of the internship, usually in the form of stipend payments.

It is expected that the intern will primarily undertake this research project during regular business hours, spending at least 80% of their time on-site with the industry partner.  The intern will be expected to maintain contact with their academic mentor throughout the internship either through face-to-face or phone meetings as appropriate.

The intern and their academic mentor will have the opportunity to negotiate the project’s scope, milestones and timeline during the project planning stage.

To participate in the APR.Intern program, all applicants must satisfy the following criteria:

  • Be a PhD student currently enrolled at an Australian university
  • PhD candidature must be confirmed
  • Applicants must have the written approval of their Principal Supervisor to undertake the internship. This approval must be submitted at the time of application.
  • Internships are also subject to any requirements stipulated by the student’s and the academic mentor’s university
Applications Close

 24 June 2018

Reference

INT – 0432