Job Summary:
The Logistical Informatics and Data Analyst plays a critical role in bridging clinical operations and data analytics. They perform their duties under the direction of the Chief Clinical Informatics Officer. They utilize knowledge of hospital system operations, facility structure, bed planning logistics, and billing implications to determine application functions that are suitable for the daily operational needs of Forrest Health. This position is responsible for analyzing healthcare throughput data, optimizing logistical workflows, supporting electronic health record (EHR) systems, and delivering actionable insights to improve operational efficiency and maintain regulatory compliance. They work with operational leaders to consider factors related to safety, effectiveness, cost, compliance, and impact on systems operations during the planning and execution of their duties. The Clinical Informatics Project Manager – ADT & Patient Flow is responsible for leading enterprise-wide initiatives that improve the accuracy, timeliness, and governance of patient movement data across the health system. This role serves as the operational and technical bridge between clinical operations, Patient Access, Case Management, HIM, Revenue Cycle, and Epic application teams. The role focuses on Admission, Discharge, and Transfer (ADT) workflows, bed management, patient status, discharge disposition, and throughput documentation to ensure the electronic health record reflects the true clinical and financial state of the patient at every point in their journey.
This position is critical to supporting regulatory compliance, billing accuracy, patient flow optimization, and real-time operational decision-making. This position plays a key role in maintaining operational governance and change control while supporting throughput and technical standardization.
Performance Expectations:
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Analyze operational data to identify trends, patterns, and opportunities for improvement.
Develop and maintain dashboards, reports, and visualizations using tools such as Smartsheet, Power BI, Tableau, or similar.
Collaborate with clinicians, IT staff, and administrators to optimize EHR workflows and efficiency automation.
Support data extraction, transformation, and loading processes for clinical databases.
Ensure data integrity, quality, and compliance with HIPAA and other regulatory standards.
Participates in the design and implementation of clinical decision support tools.
Translate regulatory requirements into technical specifications for data reporting and analytics.
Provide training and support to staff on tools and data literacy when needed.
Monitors and evaluate the impact of operational interventions on financial outcomes as needed.
Other duties as assigned
Informatics Project Management
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Plan and manage ADT-related projects, including: bed management optimization, discharge workflow redesign, transfer, and level-of-care workflows
Admission and registration process improvements
Builds and maintains patient flow project charters, timelines, governance approvals, and go-live plans
Facilitate cross-functional working groups between clinical, operational, and IT teams
Governance & Change Control:
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Serves as a core member of assigned Governance Committees.
Facilitates epic enhancements and ensures alignment with executive goals.
Conducts impact analyses and presents governance committees with recommendations to achieve outcomes.
Ensure ADT data integrity supports CMS, Joint Commission, and Payer reporting requirements.
Epic Build & Technical Expertise:
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Build knowledge and maintenance of Facility Structures, billing tables, and scheduling workflows.
Collaborate with Epic analysts to ensure technical stability.
Perform structured testing and support go-live validation.
Training, Communication & Change Adoption:
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Collaborate with trainers to produce educational materials and tip sheets.
Communicate implementation timelines and change impacts.
Provide consultative support to operational leadership regarding workflows and optimization.
Qualifications/Certifications upon hire:
Education/Skills:
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Bachelor’s degree is required.
Minimum 3 years of experience working in an acute care hospital environment
Minimum 2 years of Epic Certified Status as an analyst for build, workflow design, informatics, and data analytics.
Relevant Experience:
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Experience in multi-hospital or IT integrated care delivery systems.
Prior involvement in IT governance, clinical standardization, or QI initiatives.
Familiarity with TJC, CMS, and other regulatory requirements.
Strong understanding of interdisciplinary workflows that involve IT and clinical operations.
Experience leading multiple stakeholder teams for projects.
Certification/Licensure—DUE UPON HIRE:
- Epic Analyst Certification in Order transmittal, Grand Central, or Prelude.
Required Skills and Mental Demands:
1. Analytical Thinking
Interpreting complex technical and operational data.
Identifying trends, anomalies, and actionable insights.
Designing and validating data models and reports with clinical and operational stakeholders.
Strong understanding of evidence-based practice and interdisciplinary workflows.
2. Attention to Detail
Ensuring data accuracy, integrity, and compliance with healthcare regulations (e.g., HIPAA).
Reviewing and validating data inputs and outputs from EHR systems and analytics tools.
3. Problem-Solving
Troubleshooting data discrepancies or workflow inefficiencies.
Developing solutions to improve clinical decision-making and operational performance.
4. Multitasking and Prioritization
Managing multiple projects, deadlines, and stakeholder requests simultaneously.
Balancing short-term reporting needs with long-term informatics initiatives.
5. Communication and Collaboration
Translating technical data into understandable insights for clinical and administrative staff.
Collaborating with cross-functional teams including IT, clinicians, and leadership.
6. Adaptability and Learning
Keeping up with evolving healthcare technologies, data standards (e.g., HL7, FHIR), and regulatory requirements.
Adapting to new tools, platforms, and organizational priorities.
7. Decision-Making under Uncertainty
Making informed recommendations based on incomplete or evolving data.
Weighing clinical, operational, and ethical considerations in data use.
Strong analytical and problem-solving skills.
Excellent communication and collaboration abilities.
Ability to translate complex data into actionable insights.
Knowledge of healthcare quality metrics and regulatory reporting.
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