We are seeking a Clinical Informaticist to join our dynamic team at Oracle America, Inc. In this role, you will play a crucial part in our Oracle Health Prod Mgmt - Data Prediction department, ensuring the accuracy and integrity of medical annotations. Your clinical expertise and attention to detail will be instrumental in supporting our AI/ML and healthcare data projects, contributing to the development of innovative healthcare solutions.
Required Experience
- Clinical experience or education in nursing, medicine and surgery, pharmacy, laboratory sciences, respiratory therapy, health information management, medical coding, or another healthcare-related field.
- 0-2 years of experience in healthcare, clinical operations, medical coding, quality assurance, healthcare technology, or related healthcare environments.
- Familiarity with clinical documentation and healthcare terminology.
- Basic understanding of healthcare workflows and patient care processes.
- Ability to accurately interpret clinical documentation and healthcare concepts
- Strong attention to detail and commitment to quality.
- Demonstrated ability to learn new systems, processes, and technologies.
- Demonstrated understanding of the US healthcare system
Preferred Experience
- Exposure to data annotation, quality assurance, healthcare analytics, AI/ML, NLP, or healthcare technology projects.
- Exposure to electronic health record (EHR) systems.
- Experience reviewing healthcare records, quality measures, clinical documentation, or medical coding.
- Familiarity with healthcare terminologies such as ICD, CPT, SNOMED CT, LOINC, or RxNorm.
- Bachelor's degree in a healthcare, life sciences, health informatics, or related field preferred.
- Perform medical annotations following established guidelines, ensuring accuracy and consistency.
- Review annotations for quality, identifying and addressing any discrepancies.
- Conduct quality assurance checks on annotated clinical datasets, maintaining high standards.
- Apply clinical knowledge to validate healthcare concepts and relationships in annotated data.
- Assist in maintaining annotation documentation and keeping guidelines up-to-date.
- Participate in calibration exercises and training to enhance annotation skills.
- Support clinical review processes for AI/ML projects, reviewing outputs and documenting findings.
- Collaborate with a diverse team, including annotators, clinical experts, and engineers.
- Stay informed about healthcare terminology, clinical standards, and annotation best practices.
Career Level - IC1