EHR Data Analyst (Onsite)

Knowledge, Skills, Abilities or Competencies:

Minimum:

• Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics. 

• Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. 

• Extensive experience pulling data out of electronic health record systems 

• Demonstrated experience answering clinical questions into analysis of data from an electronic health record system. 

• Demonstrated experience validating EHR data with outside data sources 

• Demonstrated experience validating EHR data through triangulation with other data within the EHR 

• Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management 

• Extensive experience with applying national EHR standards to an EHR product. 

• Demonstrated experience standardizing processes around an EHR implementation. 

• Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting

• Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership

• Experience working in a multidisciplinary clinical environment with multiple stakeholder groups

Additional Considerations: 

• Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred

• Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute

• Experience with EHR systems in a clinical capacity required

Core Duties:
1. Clinical workflow documentation

• Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities.  Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations.

2. Data extraction, analysis and visualization

• Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets.  Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions.

3. Validation and testing

• Validation of EHR updates from user perspective view.  Consistent testing coverage of the base system in addition to support for MAR and related project components.  Establish documented reduction in validation gaps on EHR changes.

4. Direct support to medical staff

• Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work.