Dataassisterade
Dataassisterade describes processes, systems, or approaches in which data analytics outputs are used to assist human decision-makers rather than to automate decisions. The concept emphasizes augmenting expertise with evidence from data while preserving human oversight, accountability, and contextual judgment.
Typically, dataassisterade workflows include collecting and integrating data from multiple sources, cleaning and preparing data, applying
The term is related to but distinct from data-driven or AI-driven approaches. Dataassisterade implies that data
Applications span diverse sectors. In healthcare, data-assisted decision support can provide risk scores or diagnostic cues
Challenges include ensuring data quality and representativeness, mitigating bias, maintaining transparency and interpretability, protecting privacy, and