Patient Safety Classifications for Health Information Technology (HIT) and Medical Devices: A Review on Available Systems

Abstract

Background: Patient safety classifications are used to collect, classify and analyze patient safety data. Objective: This review was conducted to identify and compare the subject and coverage of existing patient safety classifications for Health Information Technology (HIT) and medical devices in which HIT may cover. Methods: All studies in patient safety that developed or extended any type of classification in HIT and medical devices were included. We identified and classified the covered concepts in these systems. Results: We identified 7 articles that met all of the inclusion criteria, resulting in 6 classifications. The most common patient safety subjects included adverse events and medication errors. Incident types and contributing factors/hazards were the most frequently covered concepts. Conclusions: Patient safety classifications in HIT cover more concepts and classes than medical device classifications. It is therefore recommended to improve existing classification systems in terms of covered concepts and classes.

Effect of a sensory diet smartphone application on the symptoms of children with attention deficit hyperactivity disorder (ADHD): A feasibility study

“…Additionally, the duration of app usage was limited to two months, suggesting that longer interventions may be required to assess the long-term effectiveness and sustainability of the application. Other evaluations to ensure the impact and safety of this application [ 44 ] are also required.…”

A health terminological system for inherited retinal diseases: Content coverage evaluation and a proposed classification

“…Clinical classifications and terminology systems are widely used for standardizing patients' health information at the point of care for different purposes such as clinical, research, reimbursement, and epidemiological purposes [9][10][11]. Additionally, terminological systems are essential for structured documentation of patient data in Electronic Health Record (EHR) systems [12].…”