In the first part of this series, we introduced the tools of Big Data, including Not Only Standard Query Language data warehouse, natural language processing (NLP), optical character recognition (OCR), and Internet of Things (IoT). There are nuances to the utilization of these analytics tools, which must be well understood by clinicians seeking to take advantage of these innovative research strategies. One must recognize technical challenges to NLP, such as unintended search outcomes and variability in the expression of human written texts. Other caveats include dealing written texts in image formats, which may ultimately be handled with transformation to text format by OCR, though this technology is still under development. IoT is beginning to be used in cardiac monitoring, medication adherence alerts, lifestyle monitoring, and saving traditional labs from equipment failure catastrophes. These technologies will become more prevalent in the future research landscape, and cardiothoracic surgeons should understand the advantages of these technologies to propel our research to the next level. Experience and understanding of technology are needed in building a robust NLP search result, and effective communication with the data management team is a crucial step in successful utilization of these technologies. In this second installment of the series, we provide examples of published investigations utilizing the advanced analytic tools introduced in Part I. We will explain our processes in developing the research question, barriers to achieving the research goals using traditional research methods, tools used to overcome the barriers, and the research findings.
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Influence of a High-Intensity Staffing Model in a Cardiac Surgery Intensive Care Unit on Postoperative Clinical Outcomes
High-intensity staffing model during daytime hours by cardiac surgery intensivists significantly improved ICU-related outcomes. However, high-intensity staffing did not affect early mortality after cardiac surgery.
Usefulness of Periprocedural Bleeding to Predict Outcome After Transcatheter Aortic Valve Implantation
We investigated whether using the new bleeding definition of the Valve Academic Research Consortium predicts a poor outcome after transcatheter aortic valve implantation.
Cardiac Dimensions During Extracorporeal Membrane Oxygenation
Our aim was to analyze left ventricular fractional shortening during extracorporeal membrane oxygenation under the influence of changing volume loading conditions induced by a ductal left-to-right shunt.