Job Description

SHORT TERM EXPECTED

Pls note: This is a time sensitive role that has a tight timeline. They can choose to work full time (or part-time, 20 hrs/week) until the work is completed. If they work 40 hrs /week then the work could finish sooner and the engagement may end
sooner. At this time it is slated to go to 6/30/26 (at the latest)

*Even though this is also a DA role it has different
responsibilities than Req# 798838 – pls read carefully before submitting your
candidates. Your candidate could potentially be able to do
both roles – if so get them submitted to both

ABOUT THE ROLE

This engagement aims to transform a large Excel extract of potential duplicate patient encounters into a structured, interactive Power BI dashboard that supports data‑quality improvement and operational cleanup. The consultant will work with HIM, data governance, and clinical operations teams to define the criteria and visualizations needed to surface duplicate patterns, encounter clusters, and high‑risk records. The dashboard will help teams quickly identify duplicates, understand root causes, and prioritize remediation efforts. The resource may also be engaged in other Power BI work related to DBHDS as it arises if time in needed.
Key Tasks
• Conduct requirements sessions with HIM, data governance, and operations
• Analyze the structure and quality of the duplicate‑encounter extract
• Build a Power BI data model capable of handling large datasets
• Develop visualizations for duplicate patterns, encounter groupings, frequency, and severity indicators
• Create filters for facility, date ranges, encounter type, and risk level
• Implement automated refresh and validation logic
• Iterate with stakeholders to refine insights and usability
Deliverables
• Requirements document and dashboard wireframes
• Power BI data model and transformation logic
• Duplicate Encounter Identification dashboard
• Data dictionary and process documentation
• Knowledge‑transfer session with internal staff
Milestones
• Week 1-3: Requirements gathering & data review
• Week 4-8: Data modeling & initial dashboard build
• Week 9-10: Stakeholder review & refinement
• Week 11-12: Final dashboard delivery & documentation

Job Description

Deadline to submit – by 4pm EST on Tuesday 4/14

Pls
note: This is a time sensitive role that has a tight timeline. They can choose
to work full time (or part-time, 20 hrs/week) until the work is completed. If
they work 40 hrs /week then the work could finish sooner and the engagement may
end sooner. At this time it is slated to go to 6/30/26 (at the latest). Please
confirm that you explained to your candidate that this is expected to be a
SHORT TERM engagement and they understand and agreed to that arrangement if
selected bf submitting them.

*Even though this is also a DA role, this role has different
responsibilities than req# 798840. Pls read carefully bf submitting your
candidates. If your candidate is qualified and interested in doing either role,
submit them to both.
ABOUT THE ROLE

This engagement focuses on converting the BugTrack issue‑management Excel extract into a comprehensive, interactive Power BI dashboard for leadership visibility and operational decision‑making. The consultant will collaborate with the business, HIT, IT, and operational teams to define reporting requirements and translate them into a scalable data model and intuitive visualizations. Metrics will include (but are not limited to) total tickets opened/closed, aging of open tickets, ticket type and category distribution, priority trends, facility‑level insights, EPMO‑related tickets, and a dedicated AVATAR ticket dashboard (opened, closed, maintenance). The consultant will build automated refresh processes, apply data‑quality checks, and deliver a polished dashboard ready for leadership review. The resource may also be engaged in other Power BI work related to DBHDS as it arises if time in needed.
Key Tasks
• Conduct requirements workshops with the business, HIT, IT, and operational stakeholders
• Review and validate the BugTrack Excel extract structure
• Build a Power BI data model optimized for large datasets
• Develop visualizations for ticket volume, aging, type, category, priority, facility, and AVATAR metrics
• Create filters, drill‑downs, and role‑based views
• Establish refresh logic and data‑quality validation steps
• Iterate with stakeholders to refine usability and accuracy
· Mentor and train DBHDS identified SMEs for long-term maintenance
· Create and develop documentation supporting the dashboards
Deliverables
• Requirements document and dashboard mockups
• Power BI data model and transformation scripts
• Fully developed BugTrack dashboard with leadership‑ready visuals
• Documentation for refresh processes and data definitions
• Knowledge‑transfer session with internal staff
Milestones
• Week 1-3: Requirements gathering & data review
• Week 4-8: Data modeling & initial dashboard build
• Week 9-10: Stakeholder review & refinement
• Week 11-12: Final dashboard delivery & documentation