Attribut:Beschreibung-EN

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Understands the benefits and risks of using patient/consumer generated data in delivering care  +
Nurses and midwives are able to recognise that data have different uses or usefulness at various points within healthcare.  +
Identifies the purposes, benefits, and risks of aggregating clinical data from multiple sources  +
Recognises the various data sources available and judges their quality, including patient/consumer generated data  +
Recognises the role of data integrity in healthcare and the importance of complete, timely, and accurate data  +
Understands the concepts relating to data linkage  +
architectural styles for health information systems (e.g. monolithic, best-of-bread, distributed architecture, star-communication)  +
Systematically and accurately collects and records relevant data in a structured form  +
Manages and applies information within the relevant scope of practice and the healthcare context  +
Maintains a degree of understanding about structured languages used in nursing and midwifery in relation to data capture, aggregation, storage, and use within digital health systems  +
Nurses and midwives use digital tools to develop and maintain their online identity and reputation.  +
Understands the benefits and risks of different ways of presenting oneself online, both professionally and personally while adhering to the NMBA social media policy  +
Understands that online posts can stay in the public domain and contribute to an individual’s digital footprint  +
Recognises that their professional digital footprint, where it exists, should showcase their skills, education, and professional experience  +
Uses digital health to support communication within the organisation  +
Nurses and midwives use of digital tools in healthcare aligns with procedural, policy, legal, ethical, security and privacy requirements.  +
Nurses and midwives are able to implement policy and procedures that govern digital health use in their workplace.  +
interoperability and standards for Health Information Systems (for example HL7: HL7 Version 2.x, Version 3 (insb. CDA) specially FHIR, IHE, openEHR, ISO 13606, DICOM and the German xDT-standards for the outpatient sector. The connection to standards for semantic reference systems (SNOMED-CT,LOINC, ICD etc.)  +
Understands the principles of data and information governance, including privacy and security requirements  +
Ensures timely reporting of errors and near misses, and monitors outcomes  +