J Med Syst
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The information stored in healthcare systems has increased over the last ten years, leading it to be considered Big Data. There is a wealth of health information ready to be analysed. However, the sheer volume raises a challenge for traditional methods. ⋯ A total of 9724 articles were found on the databases. 9515 articles were discarded as duplicates or for not having a title of interest to the study. 209 articles were read, with the resulting decision that 46 were useful for this study. 52.6 % of the articles used were found in Science Direct, 23.7 % in Pubmed, 22.1 % through Scopus and the remaining 2.6 % through the Web of Science. Big Data has undergone extremely high growth since 2011 and its use is becoming compulsory in developed nations and in an increasing number of developing nations. Big Data is a step forward and a cost reducer for public and private healthcare.
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Mobile applications (apps) can be very useful software on smartphones for all aspects of people's lives. Chronic diseases, such as diabetes, can be made manageable with the support of mobile apps. Applications on smartphones can also help people with diabetes to control their fitness and health. ⋯ The levels of inclusion of features based on selection criteria in selected mobile apps can be very different. The results of the study can be used as a basis to prvide app developers with certain recommendations. There is a need for mobile apps for self-management of diabetes with more features in order to increase the number of long-term users and thus influence better self-management of the disease.
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Observational Study
An Analysis of WhatsApp Usage for Communication Between Consulting and Emergency Physicians.
The aim of this study was to evaluate WhatsApp messenger usage for communication between consulting and emergency physicians. A retrospective, observational study was conducted in the emergency department (ED) of a tertiary care university hospital between January 2014 and June 2014. A total of 614 consultations requested by using the WhatsApp application were evaluated, and 519 eligible consultations were included in the study. ⋯ Most of the consulting physicians were outside of the hospital or were mobile at the time of the consultation (n = 292, 56.3%). The outside consultation request rate was significantly higher for night shifts than for day shifts (p = .004), and the majority of outside consultation request were concluded by only WhatsApp application (p < .001). WhatsApp is useful a communication tool between physicians, especially for ED consultants who are outside the hospital, because of the ability to transfer large amounts of clinical and radiological data during a short period of time.
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Most surgery scheduling is done 1 day in advance. Caused by lack of overall planning, this scheduling scheme often results in unbalanced occupancy time of the operating rooms. So we put forward a rolling horizon mixed integer programming model for the scheduling. ⋯ The strategy of the RSM helps balance the occupancy time among operating rooms. Using surgical data from five departments of the West China Hospital (WCH), we generate surgical demands randomly to compare the NRSM and the RSM. The results show the operating rooms' average utilization rate using RSM is significantly higher than when applying NRSM.
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On time start of the first case of the day is an important operating room (OR) efficiency metric, in which delays can have effects throughout the day. Although previous studies have identified various causes of first case start delays, none have attempted to evaluate the effect anesthesia staffing ratios have on first case start times. We performed a single-center retrospective analysis at an academic teaching hospital. ⋯ FCOTS showed statistically significant differences when looking at all services with solo staffing having the highest odds for FCOTS being on time. This effect was seen also when analyzing only oncologic and orthopedic surgeries. Hospitals should consider using different staffing ratios in different surgical specialties to minimize delays and maximize OR efficiency.