HCA Healthcare is looking to improve diagnostic efficiency, reduce variability, and support scalable enterprise deployment within their Radiology department by leveraging innovative technology solutions. The goal is to make care team processes more intelligent, impactful, and efficient, ultimately improving patient outcomes and clinician experience.
Requirements
- 3+ years’ experience in healthcare analytics, digital health, or clinical operations support, with specific exposure to radiology workflows, imaging systems (PACS), or diagnostic AI tools - Required
- Experience in workflow analysis, clinical operations benchmarking, or ROI/business case modeling in healthcare - Preferred
- Certification in Data Analytics, Business Analytics, or related fields - Preferred
- Familiarity with Agile or Scrum methodologies - Preferred
- Training or experience in healthcare quality, patient safety, or clinical informatics - Preferred
Responsibilities
- Collect and document radiology workflow and business requirements, translating them into user stories and technical requirements
- Support discovery activities, including workflow shadowing, radiologist and ED leader interviews, and documentation of variability in turnaround times and escalation practices
- Define detailed key results to support pod objectives; perform analyses as needed for OKR measurement, particularly before data pipelines have been set up
- Contribute to AI vendor analysis (e.g., Aidoc, Viz.ai, others), including comparative assessments of functionality, integration feasibility, and workflow fit
- Work with other Data Engineers or other pod members to create data pipelines and analyses to measure key results automatically
- Develop data dictionaries, baseline metric packs, and site-level variation analyses focused on scan-to-sign turnaround time, LOS impact, and escalation delays
- Collect, analyze, and interpret radiology performance data to identify trends, bottlenecks, and improvement opportunities
Other
- Bachelor's degree in Business, Computer Science, Economics, or related field - Required
- Master's degree in a relevant field - Preferred
- Strong communication skills (written, verbal, presentation) and ability to collaborate with cross-disciplinary teams - Preferred
- Or equivalent combination of education and/or experience
- Occasional Travel: The job may require travel from time- to-time, but not on a regular basis.
