Large Clinical Data Registries: analysis of common implementation challenges and best practices - MB-002

Preferred Disciplines: Healthcare ; Master, PhD, Post-Doc
Project length:  6 months (1 unit)
Desired start date: ASAP
Location: Winnipeg, Manitoba
No. of Positions: 1
Preferences:  IP policies of the partner university should allow maximum flexbility to the industrial partner. Language : English
Company: NA

 

About Company:

Partner organization is an established IT Strategy, Services and Products firm with operations in Canada and in the United States. It offers technology consulting and strategic resourcing across industries, including healthcare, financial services, insurance, and utilities/energy. Since its inception in 2006 the organization has assisted 75+ clients in achieving their Business System goals and initiatives by providing management consulting services, program & project management, software testing, systems development, and integration services to organizations of all sizes. 

Since 2014, through its Innovations Division the organization has been actively executing its R&D program in healthcare and with local and international partners has been working on several innovative Health IT product and service offerings.

Project Description:

The project goal is to develop best practicies and recommendations for effective implementation of large patient registries.

Integrated Clinical Data Registries of new generation that can extract data across multiple EMR/EHR systems allow not only for improved seamless quality measurement and improvement, but also for actual tapping into meaningful performance measurement and analytics. However, due to complex and evolving standards and requirements applied in the healthcare industry, as well as required technical and organizational changes, registry operators may encounter various challenges when implementing such integrated Clinical Data Registries of new generation, which prevent a smooth transition and full utilization of extended capabilities of this information technology.

The project objectives are:

  • to identify common challenges the registry operators encounter when implementing large clinical data registry
  • develop best practices to address these common challenges 

Background and required skills

Research Objectives/Sub-Objectives:

  • Documenting feedback and relevant information on existing practices from the perspective of an information technology software vendor
  • Documenting feedback and relevant information on the existing practices from selected registry operators
  • Identifying the strengths and weaknesses of the current approach across the registry operators, the major barriers and key success factors, with an emphasis on identifying the root cause of common challenges and ways to address them
  • Developing best implementation practices and recommendation on improvement of supportive business practices to facilitate efficient registry setup and delivery
  • Developing a Project report with an overview of the existing practicies, common challenges and recommendations to address them
  • Developing a Registry operator profile, consisting of its high level business practices, customer priorities and perspectives on registry operations

Methodology:

  • Interviews with key registry and registry operators’ personnel
  • analysis of the collected data
  • review of research papers and scientific publications
  • market and regulatory  analysis

Expertise and Skills Needed:

Required Qualifications:

  • Background in Healthcare and Information Theory
  • General understanding of customer service models and best practices, especially with off-shore businesses
  • Strong communication skills
  • Strong analytical skills

Ideal:

  • Background in population health management or patient registries
  • Understanding of how cultural differences should be incorporated into customer service models to overcome common communication issues
  • Understanding of software vendor selection processes
  • Understanding of planning / execution of large-scale software rollouts

 

For more info or to apply to this applied research position, please

  1. Check your eligibility and find more information about open projects.
  2. Interested students need to get the approval from their supervisor and send their CV along with a link to their supervisor’s university webpage by applying through the webform or directly to Iman Yahyaie at iyahyaie(a)mitacs.ca
Program: