
51 - 200 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
Lantana Consulting Group is a consulting firm dedicated to making e-Health data interoperable, reusable, and meaningful. The company specializes in guiding strategies for maximum return on investment, designing solutions that integrate with existing technology investments, and utilizing standards that enhance interoperability, measurement, and reporting. With over a decade of experience, Lantana Consulting Group works with government agencies, hospitals, technology companies, and insurance providers to facilitate clinical information exchange, supporting continuity of care and data-driven policy and decision-making. The firm provides a range of solutions, including software products like Trifolia-on-FHIR, Trifolia Work Bench, and Validator, aimed at improving healthcare delivery through standards-based data exchange and reuse.
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51 - 200 employees
💼 Consulting
🏥 Healthcare
⚕️ Healthcare Insurance
Consulting • Healthcare • Healthcare Insurance
Lantana Consulting Group is a consulting firm dedicated to making e-Health data interoperable, reusable, and meaningful. The company specializes in guiding strategies for maximum return on investment, designing solutions that integrate with existing technology investments, and utilizing standards that enhance interoperability, measurement, and reporting. With over a decade of experience, Lantana Consulting Group works with government agencies, hospitals, technology companies, and insurance providers to facilitate clinical information exchange, supporting continuity of care and data-driven policy and decision-making. The firm provides a range of solutions, including software products like Trifolia-on-FHIR, Trifolia Work Bench, and Validator, aimed at improving healthcare delivery through standards-based data exchange and reuse.
• Provide consulting, analytics, testing, training, and development services supporting the CDC’s National Healthcare Safety Network (NHSN) • Access and analyze complex data from various sources, manipulate datasets, and conduct statistical analyses • Perform regular and complex quality checks on data and analytic deliverables • Lead data cleaning and manipulation tasks and implement automated solutions • Conduct analyses in Python and/or R; interpret, summarize, and present findings to technical, clinical, and product stakeholders • Develop materials, review documentation, troubleshoot issues, and report results related to FHIR–EHR mapping, patient-identity matching, encounter reconciliation, and clinical-data standardization • Collaborate to plan, develop, and implement projects and materials • Communicate advanced analytic advice and statistical methodology to clients, management, and staff • Analyze client needs and translate them into formal requirements • Provide results to project teams and clients verbally and in writing, using technical or plain language as appropriate • Test applications and provide feedback to software developers and quality-assurance technicians • Maintain expertise in public health and monitor industry changes and trends • Develop trainings, project updates, and presentations on NHSN antimicrobial-use and resistance work
• Bachelor’s degree in statistics, epidemiology, public health, or related field and at least nine years of relevant experience; or master’s degree and at least seven years of relevant experience • Experience using Python and/or R to import, manipulate, and analyze data for data-quality and accuracy evaluation • Experience managing large datasets, moving and merging files across platforms, cleaning and aggregating data, and performing quality control • Experience with quality-assurance testing or user-acceptance testing involving healthcare data • Attention to detail and critical-thinking skills • Ability to successfully complete a federal Position of Public Trust Level 5 background investigation • Preferred: Master’s degree in epidemiology, public health, biostatistics, mathematics, or related field • Preferred: Experience with antimicrobial use, antimicrobial resistance, and/or Healthcare-Associated Infections data • Preferred: Knowledge of or experience with real-world analysis and mapping of HL7 FHIR resources, including normalization and standardization of clinical data • Preferred: Knowledge of NHSN • Preferred: Knowledge of or experience with big-data analysis, patient-identity matching, encounter reconciliation, longitudinal record construction, cross-system data linkage, and deduplication/data reconciliation • Candidate must reside in the United States
• Flexible remote work arrangements • Employee-owned company • In-person collaboration during key events such as the annual company meeting • Equal-opportunity employment
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