Abstract

It has become a standard measure in recent years to utilise evidence-based practice, which is associated with a greater need to implement and use advanced, reliable methods of summarising the achievements of various scientific disciplines, including such highly specialised approaches as personalised medicine. The aim of this paper was to discuss the current state of knowledge related to improvements in “nursing” involving management of delirium in intensive care units during the SARS-CoV-2 pandemic. This narrative review summarises the current knowledge concerning the challenges associated with assessment of delirium in patients with COVID-19 by ICU nurses, and the role and tasks in the personalised approach to patients with COVID-19.

Highlights

  • The emergence of personalised, stratified, or precision medicine (PM) has introduced a new, previously unknown approach in healthcare aiming to identify and anticipate the optimal treatment outcome in a given patient

  • On the other hand, Personalised medicine (PM) and person-centered care (PCC) are two notions that in recent decades emerged independently to express ambitions to individualise the design of care and align it better to fit the situation of a specific patient

  • The aforementioned tools are recommended for use by advanced practice syndrome (ARDS) [24]

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Summary

Introduction

The emergence of personalised, stratified, or precision medicine (PM) has introduced a new, previously unknown approach in healthcare aiming to identify and anticipate the optimal treatment outcome in a given patient. EBP and PM seem to present complementary approaches in contemporary, dynamically changing healthcare systems [1]. On the other hand, Personalised medicine (PM) and person-centered care (PCC) are two notions that in recent decades emerged independently to express ambitions to individualise the design of care and align it better to fit the situation of a specific patient. This again is in contrast to standardised guidelines and treatment prescriptions based on statistically average results from broad population studies

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