Related Experiment Videos
Artificial intelligence medical scribes in allied health: a solution in search of evidence?
Laura Ryan1, Laetitia Hattingh2
1Allied Health Research, Gold Coast Hospital and Health Service, Southport, Qld 4215, Australia.
Abstract:
Artificial intelligence (AI) medical scribes (AI scribes), which ambiently record and transcribe patient-clinician interactions into structured documentation, aim to ameliorate documentation burdens, but their suitability for allied health remains unclear. AI scribes are often designed for doctors, raising concerns about accuracy, workflow integration, and applicability to allied health's diverse documentation needs. While potential benefits include improved efficiency and patient engagement, evidence is lacking for their effectiveness in allied health settings. Risks such as AI bias, patient safety, and integration barriers may also require consideration. This paper argues that further research is needed before widespread allied health adoption, emphasising the need for discipline-specific evaluations to assess AI scribes' viability in allied health practice.
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Current Trends in Nursing II
Non-equilibrium in the Cell
Nursing Clinical Information System
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include: