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  1. 2 Δεκ 2020 · Important findings on the use of robotics to support nursing care are reflected in this white paper. Key findings indicate that robots can support and augment nursing care delivery and are well suited to high-repetition, low-risk tasks, but they can also be used to support quality and safety initiatives such as efforts to reduce fall risk in both

  2. 1 Ιουλ 2023 · This study examined the clinical usability of two automated risk assessment systems-the Automated Fall Risk Assessment System and Automated Pressure Injury Risk Assessment System.

  3. 4 Μαΐ 2023 · AI solutions for the application scenarios of medication management, care needs assessment and risk assessment and education and mediation of knowledge and competencies were considered relevant for all settings by the majority of respondents.

  4. The Johns Hopkins Fall Risk Assessment Tool (JHFRAT) was developed to facilitate early detection of risk for anticipated physiologic falls in adult inpatients.

  5. 18 Μαρ 2023 · Assistive robotic systems can be divided into six fields of application: Information and patient data processing, assistance with activities of daily living, fetch and bring activities, telepresence and communication, monitoring, safety and navigation, and complex assistance systems.

  6. 1 Οκτ 2021 · The study sought to summarize research literature on nursing decision support systems (DSSs ); understand which steps of the nursing care process (NCP) are supported by DSSs, and analyze effects of automated information processing on decision making, care delivery, and patient outcomes.

  7. Chapter 1. Assessing, recognising, and responding to acute and critical illness. Desiree Tait. NMC Future Nurse: Standards of Proficiency for Registered Nurses. This chapter will address the following platforms and proficiencies: Platform 3: Assessing needs and planning care.