Albert Blesson V, Clinical Instructor (India)

Before using ClinicalKey AI, what was your perception of AI in healthcare?

I viewed AI in healthcare as a useful tool for accessing medical information and supporting clinical decisions, but I had concerns about its accuracy, reliability, and practical application in clinical settings.

What challenges did you face before integrating ClinicalKey AI into your workflow?

Before integrating ClinicalKey AI into my workflow, I faced challenges such as spending considerable time searching for reliable evidence, comparing information from multiple sources, keeping up with the latest clinical guidelines, and quickly finding answers to clinical questions during patient care.

What benefits have you experienced since adopting ClinicalKey AI?

Since adopting ClinicalKey AI, I have experienced quicker access to evidence-based nursing information, improved efficiency in identifying appropriate nursing interventions, greater confidence in clinical judgment and decision-making, reduced time spent searching multiple resources for patient care, enhanced patient education, and better support for delivering safe, high-quality, patient-centered nursing care.

How has ClinicalKey AI impacted your care delivery and overall efficiency?

ClinicalKey AI has improved nursing care by supporting evidence-based interventions, enhancing clinical decision-making, improving patient education, reducing time spent searching for information, and allowing more time for quality patient care

What advice would you offer to colleagues considering ClinicalKey AI?

I would encourage my nursing colleagues to use ClinicalKey AI as a supportive evidence-based resource to enhance clinical practice. It can help nurses quickly access reliable nursing guidelines, improve clinical decision-making, strengthen patient education, and promote safe, high-quality patient care. However, it should be used alongside professional clinical judgment, institutional protocols, and individualized patient assessment.