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Description
Clinical Data & Applications Analyst
Position Summary
CRi is seeking a Clinical Data & Applications Analyst to support the management, optimization, and implementation of our clinical technology applications, with a primary focus on our Electronic Health Record (EHR) systems.
This role partners closely with Clinical Leadership, Training, MIS, and other internal and external stakeholders to improve how clinical systems, data, reporting, and emerging technologies are used across the organization. The Clinical Data & Applications Analyst will play an important role in advancing our EHR capabilities, integrating AI-supported documentation processes, improving data quality, and developing efficient technology-enabled workflows.
Key Responsibilities

• Partner with the Chief Clinical Officer to support the back-end build and design of internal and external reports and compile data required for routine reporting.
• Support the daily operation, maintenance, configuration, and updates of the organization's EHR software.
• Develop and implement strategies to improve the organization's use of its EHR and related clinical applications.
• Ensure AI-generated clinical documentation maps accurately and appropriately into the EHR.
• Evaluate the effectiveness of AI tools in reducing documentation errors and documentation time.
• Partner with Training and MIS teams to develop training and support users on EHR and AI-enabled functionality.
• Maintain data dictionaries and documentation for clinical applications.
• Create and improve workflows utilizing Microsoft SharePoint and Teams.
• Conduct audits of clinical systems, data inputs, outputs, and processes to support data integrity and quality.
• Provide consultation, troubleshooting, and application support as needed.
• Coordinate with departments across the organization to promote effective communication and interoperability between systems.
• Assist with research and evaluation of emerging technologies that may improve clinical operations and data management.
• Prepare user documentation, system guidance, and other technical resources.
• Perform other duties as assigned.

Knowledge, Skills & Abilities
The successful candidate will bring:

• Basic literacy and understanding of Artificial Intelligence (AI) and its application within business or clinical environments.
• Knowledge of interoperability and data exchange between software systems.
• Knowledge of data administration principles, practices, policies, and standards.
• Understanding of data definition, modeling, logical design, database design, and quality control.
• Experience working with data modeling tools and relational databases.
• Strong analytical skills with the ability to gather, organize, analyze, and communicate data in multiple formats.
• Strong problem-solving and critical-thinking skills.
• Ability to research and evaluate new information technologies.
• Ability to translate complex technical terminology into clear, understandable concepts for non-technical audiences.
• Strong presentation and communication skills, including the ability to brainstorm, present, discuss, and support recommendations.
• Ability to work effectively with stakeholders representing different professional perspectives.
• Strong organizational, project coordination, and prioritization skills.
• Ability to establish and maintain effective business relationships.
• Ability to help stakeholders resolve issues involving cross-departmental data sharing, usage conflicts, and data inconsistencies.
• Ability to develop clear user and system documentation.

Requirements
Minimum Qualifications

• Bachelor's degree in Information Systems, Health Informatics, Data Analytics, Healthcare Administration, Computer Science, or a related field. An equivalent combination of education and relevant experience may be considered.
• At least five years of combined experience in Electronic Health Record management, data administration, data analysis, or closely related functions.

Preferred Qualifications

• Five or more years of experience working with a certified Electronic Health Record system, preferably a Netsmart or Qualifacts product.
• Experience analyzing high-volume EHR or clinical data to support operational and business decision-making.
• Experience implementing, configuring, or transitioning an Electronic Health Record system.
• Experience managing confidential client and employee information subject to HIPAA requirements.
• Experience de-identifying protected or confidential data for reporting and analysis.
• Experience working with EHR reporting, system integrations, interoperability, or clinical application administration.
• Experience with Microsoft SharePoint, Teams, and workflow development.
• Experience supporting or implementing AI-enabled healthcare or documentation technologies is a plus.

Why Join CRi?
This position offers an opportunity to work at the intersection of clinical operations, data, technology, and AI. You'll collaborate with clinical and technology leaders to improve systems that directly support our employees, programs, and the individuals we serve.
If you're an analytical problem-solver who understands EHR systems and enjoys turning complex clinical and technology needs into practical solutions, we'd like to hear from you.
Apply today to join CRi as our Clinical Data & Applications Analyst.
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