데이터 아키텍트

You can:

• communicate effectively with technical and non-technical stakeholders
• support and host discussions within a multidisciplinary team, with potentially difficult dynamics
• be an advocate for the team externally
• manage differing stakeholder perspectives

You can:

• show an awareness that data needs to be aligned to the needs of the end user
• create basic visuals and presentations

You can:

• undertake data profiling and source system analysis
• present clear insights to colleagues to support the end use of the data

You can:

• understand what data governance is required
• take responsibility for the assurance of data solutions and make recommendations to ensure compliance

You can:

• develop a basic understanding of an unfamiliar or emerging technology, or a familiar technology in a new data context, with guidance
• share what you learn with colleagues, including how it could help deliver more value from data

You can:

• explain the concepts and principles of data modelling
• produce, maintain and update relevant data models for an organisation’s specific needs
• reverse-engineer data models from a live system

You can:

• use data policies, processes and standards effectively
• work with subject matter experts to develop standards, policies and guidance to protect data
• monitor compliance with policies and standards in a team and take action if needed
• analyse the impact if a standard is breached

You can:

• use metadata repositories to complete complex tasks such as data and systems integration impact analysis
• maintain a metadata repository to ensure information remains accurate and up to date

You can:

• initiate and monitor actions to investigate patterns and trends to resolve problems
• effectively consult specialists where required
• determine the appropriate resolution and assist with its implementation
• determine preventative measures

You can:

• explain the strategic context of your work and why it is important
• support strategic planning in an administrative capacity

You can:

• design data architecture by dealing with specific business problems and aligning it to enterprise-wide standards and principles
• work within the context of well understood architecture, and identify appropriate patterns

할 수 있는 일:

• 자신의 업무가 뒷받침하는 임상 및 돌봄 워크플로를 설명한다
• 임상 및 돌봄 동료와 일반적인 의료 용어를 올바르게 사용한다
• 변경이 환자 돌봄에 영향을 줄 수 있는 때를 알아보고 제기한다

할 수 있는 일:

• 데이터 항목이나 양식에 맞는 코드를 찾아 사용한다
• 용어 브라우저와 참조 세트를 사용한다

할 수 있는 일:

• FHIR, HL7 버전 2, 메시징 패턴을 사용해 연동을 설계하고 구축한다
• FHIR 리소스와 구현 가이드를 작성하고 프로파일링한다
• 시스템 간의 복잡한 매핑과 데이터 품질 문제를 해결한다

할 수 있는 일:

• 개인정보 영향평가와 정보 공유 협약을 이끈다
• 적법한 근거, 동의, 비밀 유지, 보존에 대해 팀에 조언한다
• 인시던트를 조사하고 개선을 권고한다

할 수 있는 일:

• 데이터 품질 점검을 실행하고 오류를 바로잡는다
• 데이터 품질 보고서를 동료에게 설명한다