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Clinical Informaticist

Oracle -
Bengaluru, Karnataka

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Job details

Full-time
6 hours ago

Qualifications

Oracle
EHR systems
Medical coding
Clinical experience
Quality assurance
Bachelor's degree
Natural language processing
CPT coding
AI

Full job description

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.

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