Abstract
Objective: To synthesise peer-reviewed and authoritative grey literature on digital innovation for safer therapy implementation, spanning clinical decision support, medication-administration technology, artificial-intelligence-enabled pharmacovigilance, remote observation, and pharmaceutical supply-chain traceability, and to propose an integrative framework for organising investment and evaluation in this domain.
Methods: A narrative, integrative review of structured evaluations, scoping evaluations, primary studies, and authoritative grey literature (WHO, AHRQ, FDA) across five technology domains, synthesised without official risk-of-bias scoring or pooled effect estimation.
Results: Digital instruments dependably boost process-of-care measures; for instance, decreasing prescribing errors and enhancing guideline adherence; but show more modest and varied effects on hard patient results such as negative drug events, an asymmetry that recurs across almost every domain examined. Persistent cross-cutting obstacles contain alert fatigue and automation bias, poor compatibility, algorithmic bias and limited exterior validation of artificial-intelligence models, cybersecurity and privacy risk, and irregular regulatory frameworks for software as a medical device. A five-layer conceptual framework; data foundation, point-of-care execution, tracking and feedback, analytics and learning, and management; are proposed to help organise digital-safety investment and evaluation.
Conclusion: Digital solutions are essential but not sufficient for safer therapy: technology delivers safety advantage exclusively when embedded within sound sociotechnical systems, thorough and meticulous validation, and continuous human-centred design, and implementation quality; not technical sophistication; most consistently distinguishes successful from disappointing deployments.
Keywords
patient safetydigital conditionclinical decision support systemsmedication errorsartificial intelligencepharmacovigilanceremote patient observationdigital therapeuticsblockchaincondition informaticsAuthor Affiliations
1 Department of Pharmacy Practice, Sir C. R. Reddy College of Pharmaceutical Sciences, Eluru – 534007, Andhra Pradesh, India
*Corresponding author: K. Jayasri Naga Suryamukhi — jayasreekarri768@gmail.com