Data work: A condition for integrations in health care

Integration and interoperability between different information and communication technology (ICT) systems are crucial for efficient treatment and care in hospitals. In this article, we are particularly interested in the daily local work conducted by health-care personnel to maintain integrations. A principal aim of our article is, therefore, to contribute to a sociotechnical understanding of the “data work” that is embedded in the integration of health-care systems. Theoretically, we draw on the concepts of “information infrastructures” and “articulation work,” and we discuss how social status may influence the invisible articulation work. Furthermore, we show how historical decisions and existing systems both nationally and regionally have impacts on the daily work of local actors. Empirically, we have studied the formative stages of a large-scale electronic medication management system project in the Northern Norway Regional Health Authority

Safety and efficiency of a new generic package labelling: A before and after study in a simulated setting

Background: Medication errors are frequent and may cause harm to patients and increase healthcare expenses. Aim: To explore whether a new labelling influences time and errors when preparing medications in accordance with medication charts in an experimental setting. Method: We carried out an uncontrolled before and after study with 3 months inbetween experiments. Phase I used original labelling and phase II used new generic labelling. We set up an experimental medicine room, simulating a real-life setting. Twenty-five nurses and ten pharmacy technicians participated in the study. We asked them to prepare medications in accordance with medication charts, place packages on a desk and document the package prepared. We timed the operation. Participants were asked to prepare medications in accordance with as many charts as possible within 30 min. Results: Nurses prepared significantly more medication charts with the generic labelling compared with the original 3.3 versus 2.6 (p=0.009). Mean time per medication chart was significantly lower with the generic labelling 6.9 min/chart versus 8.5 min/chart (p<0.001). Pharmacy technicians were significantly faster than the nurses in both phase I (6.8 min/chart vs 9.5 min/chart; p<0.001) and phase II (6.1 min/chart vs 7.2 min/chart; p=0.013). The number of errors was low and not significantly different between the two labellings, with errors affecting 9.1% of charts in phase I versus 6.5% in phase II (p=0.5). Conclusions: A new labelling of medication packages with prominent placement of the active substance(s) and strength(s) in the front of the medication package may reduce time for nurses when preparing medications, without increasing medication errors