Data presentation format can affect how physicians interpret laboratory data. Graphic displays have several advantages over numeric displays but are not always optimal. User, task and data characteristics should be considered when designing information displays.

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Medication label design is frequently a contributing factor to medication errors. Design regulations and recommendations have been predominantly aimed at manufacturers’ product labels. Pharmacy-generated labels have received less scrutiny despite being an integral artifact throughout the medication use process. This article is an account of our efforts to improve the design of a hospital’s intravenous (IV) medication labels. Our analysis revealed a set of interrelated processes and stakeholders that restrict the range of feasible label designs. The technological and system constraints likely vary among hospitals and represent significant barriers to developing and implementing specific design standards. We propose both an ideal IV label design and one that adheres to the current constraints of the hospital under study.

OBJECTIVE: To create and externally validate a predictive model to calculate the likelihood of vaginal delivery after preterm induction with unfavorable cervix. METHODS: This was a retrospective cohort study of women with a singleton gestation from a single academic institution who underwent an induction of labor at less than 37 weeks of gestation from January 2009 to June 2018. Women with contraindications for vaginal delivery were excluded. Analyses were limited to women with unfavorable cervix (both simplified Bishop score [dilation, station, and effacement: range 0–9] less than 6 and cervical dilation less than 3 cm). A stepwise logistic regression analysis was used to identify the factors associated with vaginal delivery by considering maternal characteristics and comorbidities as well as fetal conditions. The final model was validated using an external data set of the Consortium on Safe Labor after applying the same inclusion and exclusion criteria. We compared the area under the curve (AUC) of our predictive model and the simplified Bishop score. RESULTS: Of the 835 women, 563 (67%) had vaginal delivery. Factors associated with vaginal delivery included later gestational age at delivery, higher parity, more favorable simplified Bishop score, and preterm prelabor rupture of membranes. Factors including older maternal age, non-Hispanic Black race, higher body mass index, and abruption were associated with decreased likelihood of vaginal delivery. In the external validation cohort, 1,899 women were analyzed, of whom 1,417 (75%) had vaginal delivery. The AUCs of simplified Bishop score and the final model were 0.65 (95% CI 0.59–0.66) and 0.73 (95% CI 0.72–0.79), respectively, for the external validation cohort. The online calculator was created and is available at www.medstarapps.org/obstetricriskcalculator/ and in the Obstetric Risk Calculator mobile application in the Apple App Store and Google Play Store. CONCLUSION: Our externally validated model was efficient in predicting vaginal delivery after preterm induction with unfavorable cervix.