Clinical Audits to Identify Medication Errors in a Healthcare Facility.

Medication errors have serious effects on patient care and it is important to detect them instantly in order to reduce clinical practice errors and prevent their adverse outcomes. Even though error reporting techniques are less expensive, there may be considerable impediments for a nurse to notify an error due to the obvious possibility of negative repercussions. The present study was undertaken to determine the incidence of medication errors, with identifying their common types, and the effect of clinical audits.

Integrating Artificial Intelligence for Clinical and Laboratory Diagnosis - a Review.

The development of medical artificial intelligence (AI) is related to programs intended to help clinicians formulate diagnoses, make therapeutic decisions and predict outcomes. It is bringing a paradigm shift to healthcare, powered by the increasing availability of healthcare data and rapid progress in analytical techniques (1). Artificial intelligence techniques include machine learning methods for structured data, such as classical support vector machines and neural networks, modern deep learning (DL), and natural language processing for unstructured data.