Intelligent Application if defined technically is a strategy that uses hyper-personalized mobile app experiences and services and knowledge-extraction processes to increases the user experience (Jessica Ekholm, 2017). In simple words, the applications that not only know how to support or enable key decisions but also continually learn from the user interactions to become even more relevant and valuable to those users, are known as Intelligent apps. Such applications are smart enough to differentiate between relevant and irrelevant information with the help of AI algorithms. Moreover, these apps have the capability to ease the complex task into the as simple task as a single touch.
This document is a supplement to the University of Cincinnati's Power Session workshop presented at Data Day 2019 by Richard Johansen and Mark Chalmers. The goal of this document is to reproduce the step-by-step instructions of the Power Session which demonstrated how to create interactive maps of social vulnerability at the county level. Familiarity with GitHub, R and RStudio environments are highly recommended, but not required to follow this tutorial. For a more in-depth explanation as to how the data was retrieved, cleaned, and manipulated, please refer to the full R script called Mapping_Social_Vulnerability.R located in the Scripts folder of the GitHub repository.
There was a lack of standardization of care for patients on venoarterial extracorporeal membrane oxygenation (VA ECMO) at Kettering Medical Center. This project discusses the creation and implementation of a standardized VA ECMO physician order set, VA ECMO anticoagulation embedded physician order set, nursing policy and guideline, and standardized electronic health record (EHR) documentation within an ECMO-specific Epic flowsheet.
Improving Accuracy and Saving Time: Electronic Vitals Documentation
Vitals signs are perhaps the most fundamental component of patient evaluation. Although there
is overwhelming agreement that vital signs are crucial to both detecting and responding to patient
status, the methods in which vital signs are documented in electronic health records (EHR) has
received limited attention in the research literature. Current practice is to document vital signs on
a piece of paper as they are being taken and then later transcribed to the EHR. This practice utilizes
poor use of clinical time, increases the chance of errors and causes a delay in clinical decision
making possibly leading to escalation of care.
This project intends to use evidence based technology methods to electronically document vital
signs in real time. This method of adopting an informatics based solution in a general medical
surgical unit will demonstrate quality improvement, improved safety and cost containment.
Many challenges arise when trying to appropriately measure a patients INR and titirate their medications. Additionally, many complications arise when this is not done correctly. The microINR provides a possible informatics solution to many of these problems.
