Assessing the risk of using hazardous drugs in Hospital-at-Home Units: a big data study protocol.

Objective: This article describes a study protocol for the implementation of quality and traceability control in the hazardous  medication circuit through an analysis of risks and the development and  introduction of a Big Data-based software application aimed at performing  a continuous and dynamic audit of the whole system. Method: A standardized graphical modeling tool called Business Process Model Notation will be used to generate a detailed description of each of the stages in the hazardous medication circuit with a view to  ensuring full traceability of the system. The information on each stage will  be collected in a flowchart, which will be used -together with each event's likelihood of occurrence and severity- as a basis to calculate the  criticality index of the different control points established and to determine  any control measures that may be required.

A BPMN Based Notation for the Representation of Workflows in Hospital Protocols.

Flowcharts used for hospital protocols have a series of ambiguities and limitations in order to express some types of information. In this article, a notation proposal for flowcharts that partially avoids these problems is presented. This new notation is an adaptation of BPMNE2, an extension of the Business Process Model and Notation (BPMN), which allows direct modelling of procedures that follow the Hazard Analysis and Critical Control Points (HACCP) model.

Guidelines for safe handling of hazardous drugs: A systematic review.

Objective: To review the scientific literature related to the safe handling of hazardous drugs (HDs).

Method: Critical analysis of works retrieved from MEDLINE, the Cochrane Library, Scopus, CINHAL, Web of Science and LILACS using the terms "Hazardous Substances", "Antineoplastic Agents" and "Cytostatic Agents", applying "Humans" and "Guidelines" as filters. Date of search: January 2017.

Towards a Mobile-Based Platform for Traceability Control and Hazard Analysis in the Context of Parenteral Nutrition: Description of a Framework and a Prototype App.

Background: The parenteral nutrient (PN) mixtures may pose great risks of physical, microbiological, and chemical contamination during their preparation, storage, distribution, and administration. These potential hazards must be controlled under high levels of excellence to prevent any serious complications for the patients. As a result, management control and traceability of any of these medications is of utmost relevance for the patient care, along with ensuring treatment continuity and adherence.

QR Codes: Outlook for Food Science and Nutrition.

QR codes opens up the possibility to develop simple-to-use, cost-effective-cost, and functional systems based on the optical recognition of inexpensive tags attached to physical objects. These systems, combined with Web platforms, can provide us with advanced services that are already currently broadly used on many contexts of the common life. Due to its philosophy, based on the automatic recognition of messages embedded on simple graphics by means of common devices such as mobile phones, QR codes are very convenient for the average user.