Intelligence without Data

This article explores intelligence without data. More specifically, it reveals what the study of big data ignores in the trinity age of big data, analytics, and intelligence, and looks at DIKEW intelligence through presenting an integrated framework of intelligence. It then examines intelligence without data and wisdom algebra. It demonstrates that intelligence without data consists of information intelligence without data, knowledge intelligence without data, experience without data, intelligence without data, and wisdom intelligence without data, based on the hierarchy of wisdom. It argues that big data must incorporate intelligence without data to serve the world. At the same time, intelligence without data could enhance human intelligence, cognitive intelligence, machine intelligence, and business intelligence

Age-related Differences in Patient Outcomes and Factors Associated with Psychiatric Stays at the Dube Centre, Royal University Hospital, Saskatoon

Due to the global exponential increase in life expectancy, the average 65-year-old Canadian can expect to live for an additional 21 years. This increase in the population of seniors will significantly impact the healthcare system and though mental health conditions occur throughout life course, seniors with mental illnesses also experience multimorbidity, functional decline and cognitive difficulties due to aging. The complex needs of these patients are best addressed by age-specific services. Unfortunately, psychiatric care for older adults is undifferentiated from that of younger patients and as a result, mental health services are better suited to cater to the needs of younger patients. We sought to examine the differences in outcomes between older and younger patients in the psychiatric unit at Royal University Hospital (RUH), Saskatoon, as well as factors that influence length of stay and delayed discharge. We used administrative health data from the Saskatchewan Health Authority of in-patients’ admissions between 2012 and 2019. In this study, we show that despite the small population of older adult admissions at RUH, there are large and important differences in clinical outcomes between younger and older patient admissions. We also show that age is an important predictor of both length of stay and delayed discharges. Particularly, older patients are more likely to have longer lengths of stay and have thrice the odds of delayed discharges compared to their younger counterparts. The implications of these are many but the most important is that improving the outcomes of older patients by providing age-specific, specialized services such as geropsychiatric units can be useful and effective in reducing healthcare costs and expenditure for older patients, their caregivers, and the government

Usability analysis of contending electronic health record systems

In this paper, we report measured usability of two leading EHR systems during procurement. A total of 18 users participated in paired-usability testing of three scenarios: ordering and managing medications by an outpatient physician, medicine administration by an inpatient nurse and scheduling of appointments by nursing staff. Data for audio, screen capture, satisfaction rating, task success and errors made was collected during testing. We found a clear difference between the systems for percentage of successfully completed tasks, two different satisfaction measures and perceived learnability when looking at the results over all scenarios. We conclude that usability should be evaluated during procurement and the difference in usability between systems could be revealed even with fewer measures than were used in our study. © 2019 American Psychological Association Inc. All rights reserved.Peer reviewe