Quality Improvement Specialist

How to apply

Please submit a cover letter and resume using the button below, or using the email address provided. Please use the position title in the subject line.

FULLY VACCINATED IS A MANDATORY REQUIREMENT. The successful candidate will work remotely until RNAO determines that working from the office is safe, at which point we will gradually return to the office.

We thank all candidates for their applications, and qualified applicants will be contacted.

Submission email:
Use subject line:
Quality Improvement Specialist
Closing date
January 15, 2023


The primary function of the Quality Improvement Specialist is to ensure that indicator data collected and processed by the Nursing Quality Indicators for Research and Evaluation (NQuIRE®) data system meets informational (e.g., methods, protocols, terminologies and guidelines for the collection, exchange, storage and retrieval of information) and quality standards (e.g., completeness, timeliness, consistency, accuracy of the data, etc.). The Quality Improvement Specialist will support the resolution of data quality challenges experienced by end users.  


  • Contribute to ensuring that guideline implementation and monitoring activities are informed by high quality evaluation data to enhance the evidence-based culture of nursing practice and promoting nursing excellence.
  • Support the routine assessment, monitoring and tracking of the accuracy, quality and integrity of NQuIRE® data through audit and observation of data collection, entry and processing methods for Best Practice Spotlight Organizations®.
  • Provide day to day support to BPSOs to ensure quality data submission, and engage in periodic data quality audits, in person or virtual.
  • Support indicator development, data quality and measurement activities and apply concepts of the Donabedian Model.
  • Recommend enhancements to data collection and data entry processes to improve and ensure data quality.
  • Ensure that NQuIRE® reports are based on the highest quality information and recommend enhancements to data collection and data entry processes to improve and ensure data quality including timeliness.
  • Conduct data validation and cleaning based on the RNAO Data Quality Framework.
  • Identify and execute optimal approaches for resolving data quality issues.
  • Ensure data quality needs are evaluated and validated when data collection enhancements are developed by collecting input from end users.
  • Apply statistical concepts in evaluating performance metrics/indicators and make recommendations, and contribute to various RNAO departments and research projects using statistical methods.
  • Work collaboratively with senior management, researchers, the evaluation team, project coordinators and IT data base/web developers and other staff as required, using strategic and tactical approaches to develop, implement, and maintain data base functionality and enhancements.
  • Act as a resource and train other staff and stakeholders during consultations and other meetings on data quality issues and approaches related to data collection, entry and processing, and champion a culture of data quality.
  • Perform supporting activities for the interpretation and presentation of evaluative information through compilation, statistical analysis and reporting of indicator data.
  • Produce work updates, status reports and presentations for staff and stakeholders as required.
  • Assist with drafting and preparing abstracts and manuscripts for presentation and publication, or as otherwise intended by the NQuIRE® team.
  • Work with team members to prepare, analyze and interpret statistical and trending reports.


  • Registered Nurse in good standing with Colleges of Nurses of Ontario.
  • Master’s degree in nursing, health informatics or related field is preferred, along with three or more years of clinical experience.
  • Experience in quality improvement/ performance measurement or statistical analysis, or an equivalent combination is preferred.
  • Strong interest or experience in nursing best practice guideline monitoring and evaluation.
  • Knowledge of quality improvement, performance measurement, statistics/epidemiology, health informatics or health research methodology (HRM).
  • Knowledge of statistical methods and theory. This qualification may include but is not limited to knowledge of data analysis, sampling theory and survey methodology and understanding of data system and structures.
  • Ability to resolve statistical and methodological problems and apply statistical methods to practical problems associated with indicator development or data analysis.
  • Proficiency in statistical data analysis SPSS, R, STATA, MS Office products including Excel, etc, preferably with large health data sets.
  • Knowledge of statistical analysis and interpretations (from data context) including trend analysis, correlations, regressions, etc.
  • Excellent technical skills including but not limited to the knowledge of information audit processes, clinical information / management systems.
  • Ability to identify other data repositories and assess alignment of NQuIRE® indicators.
  • Knowledge and/or experience using GRADE framework an asset.
  • Superior organizational skills and self-directed work ethic to effectively manage multiple priorities.
  • Innovating, flexible and adaptive in responding to new projects and priorities as they arise.
  • Excellent analytical skills and detail-orientation.
  • Excellent written and verbal communication and interpersonal skills to deal effectively with staff and stakeholders, synthesize and present information, and provide program support.
  • Dexterity required to operate a computer, telephone, and other office equipment.
  • Ability to communicate effectively orally and in writing in English (second language of French, Spanish or Mandarin are assets).


  • Required to travel (including air travel) to BPSO sites for observation and assessment of data collection, including possibility of overnight stays (travel reimbursement will be provided).
  • Workflow requires continuous re-prioritizing of workload, meeting multiple demands, and working overtime as required.
  • Continuous concentration is required to read, screen, and appraise a large volume of information daily, prepare data tables and summary reports, and to consult as appropriate.
  • Sight, touch and hearing are used to read, proofread, write, and analyze information and to answer enquiries.
  • Sitting is required frequently in the job for more than two hours at a time to read and write information, work on the computer, answer the telephone, and attend meetings.


  • Works in a climate-controlled office with some exposure to distractions, interruptions and stress from multiple demands.
  • Typical conditions are such that no risk or injury is present.

RNAO is committed to providing an inclusive, equitable and accessible environment, where all employees feel valued, respected and supported. We welcome applications from all qualified candidates who can help us build a workforce that reflects the diversity of the communities in which we live. Accommodations are available to all candidates identifying a need during all or any parts of the selection process.