Position Summary
This position will lead projects to automate and expedite branch processes such as clinical review of cases in TBIRDS and build dashboards related to eCR implementation and data modernization efforts. The position will primarily support the development of automated processes between systems for extracting, validating, and using data from electronic initial case reports (eICRs). The contractor will work with BDESB program, epidemiology, and technical staff for system development to evaluate, identify, and document programming solutions. Developed solutions will reduce manual data review, improve the usability of eCR data, and support the interoperability and automation of electronic health data into existing surveillance and workflows.
Job Duties:
Interoperability Needs Assessment: Conduct a needs assessment to evaluate and identify necessary steps for the Texas Birth Defects Registry (TBIRDS) to ingest eICRs and auto-populate select data fields. Maintain clear documentation of programming scripts, workflows, validation procedures, developed solutions, and other integration specific information to support sustainability and future maintenance. Develop a report/system requirements document describing functions and workflows needed for TBIRDS interoperability.
Dashboards and System Integration: Develop, test, document, and maintain SAS, Python, R (or other statistical software) programs for multiple branch processes, including building dashboards. Programs will automate and integrate relevant data from eICRs into TBIRDS to expedite branch processes such as but not limited to: triaging cases for clinical review and/or automating data ingestion in TBIRDS.
Testing and Validation: Test and validate automated workflow processes, standardization, linkage, and processing methods to assess accuracy, completeness, and reliability of SAS, R, and Python (or other statistical software) programs. Troubleshoot identified issues and refine programming solutions accordingly.
Data Interoperability Automation and Registry Modernization: Support efforts to incorporate electronic health data into existing TBDR workflows and assist with needs assessment and planning related to eICR integration and other interoperability initiatives.
Technical Requirements and Recommendations: Collaborate with BDESB staff and technical partners to identify data and system requirements, document technical processes, identify potential limitations, and develop recommendations for future interoperability projects.
QUALIFICATIONS
Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.
Years
Required/Preferred
Experience
8
Required
Experience developing, testing, maintaining, and troubleshooting SAS, Python, R, or other similar programming language scripts.
8
Required
Experience with system integration, dashboard creation, and automation for improved interoperability workflows.
8
Required
Experience working with structured or semi-structured health, public health, or other complex administrative data and knowledge of databases and database querying.
8
Required
Ability to develop reports that documents system requirements to identify programmatic and business needs and translate them into technical solutions.
8
Required
Experience testing and validating automated data-integration solutions.
8
Required
Ability to document code and technical specifications for improved workflows and procedures.
8
Required
Strong analytical and problem-solving skills, ability to communicate technical concepts to both technical and nontechnical staff, and Ability to work collaboratively with other staff.
2
Preferred
Experience with electronic case reporting (eCR/eICR), Electronic Health Records or Health Information Exchange, healthcare interoperability standards such as HL7, XML, or FHIR, SNOMED CT or other clinical terminology standards.
2
Preferred
Experience with SQL and relational databases, public health surveillance systems or registries, data linkage and matching, and development of automated data pipelines or ETL processes.
