Clinical Informaticist Analyst

J ob Title : Clinical Informaticist

Job Summary :

The Clinical Informaticist will bridge the gap between clinical and technical teams by interpreting clinical guidelines from CMS and Health Plans, and transforming them into models for automation. This role requires close collaboration with clinicians and engineers to ensure that automated models are accurate, clinically sound, and technically feasible.

Key Responsibilities :

• Interpret clinical guidelines and policies from CMS and Health Plans
• Build and validate clinical automation models based on policy requirements
• Collaborate with clinicians (MDs, Nurses) to ensure clinical accuracy
• Act as liaison between clinical, business, and technical teams
• Support engineering teams through the development and QA lifecycle
• Analyze clinical data and develop data mapping and transformation rules
• Develop use cases, user stories, and support resolution of production issues

Required Qualifications :

Preferred Qualifications :

Empowering the Future of Healthcare

The healthcare Industry is on the brink of a paradigm shift where patients are increasingly being viewed as empowered consumers, utilizing digital technologies to better understand and manage their own health. As a result, there is a growing demand for a range of patient-centric services, including personalized care that is tailored to each individual's unique needs, health equity that ensures access to care for all, price transparency to make healthcare more affordable, streamlined prior authorizations for medications, the availability of therapeutic alternatives, health literacy to promote informed decision-making, reduced costs, and many other initiatives designed to improve the patient experience.

ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy.