Trauma Data Analyst
Hamilton Health Sciences
Hamilton, ON-
Nombre de poste(s) à combler : 1
- Salaire 31.94 à 40.95 $ selon l'expérience
- Temps partiel
- Publié le 14 mai 2025
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Date d'entrée en fonction : 1 poste à combler dès que possible
Description
The Trauma Registry Data Analyst is responsible for data analysis of trauma (adult and pediatric), burn and research data. Trauma Registry Data Analyst provides appropriate, accurate and timely analysis and interpretation of trauma care data to the Critical Care Services of Ontario, Ministry of Health and Long Term Care (MOHLTC, Canadian Institute of Health Information (CIHI), and physicians and health care professionals at Hamilton Health Sciences. The Trauma Registry Data Analyst develops reports and dashboards for high level analysis of the Trauma Program including corporate dashboards, annual reports and provincial reporting. The Trauma Registry Data Analyst identifies gaps and trends in the data and makes recommendations based on findings. The role works with the Trauma team to help identify areas of quality improvement, innovative ways to review data, and support initiatives at a regional and provincial level. The Trauma Registry Data Analyst works collaboratively with Decision Support, among others, to link trauma data with other data sources to fulfill reporting requirements as needed in a timely and efficient manner.
1. Completion of an undergraduate degree in Health Information Management required
2. Certified with the Canadian College of Health Information Management
3. Experience and proficiency in ICD-10, AIS, PTS and ISS coding methodologies
4. Experience with SQL, SPSS us to measure quality metrics/statistics
5. Good working knowledge of CIHI data
6. Working knowledge of hospital computer systems including EPIC, Sovera
7. Strong data entry and management skills with the ability to document data processes
8. Demonstrated ability to generate high quality reports basic statistical and objective analysis of data
9. Experience working with management information systems including data analysis, analyzing variances, identifying trends, and interpreting data
10. Demonstrates proficiency using Microsoft Office applications like Access, Excel, Word, and PowerPoint
11. Demonstrates understanding of QA and PIPS frameworks
12. Demonstrates excellent written and verbal communication skills
Exigences
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