Based on Shepard and Metzler in 1972 metal rotation experiment,
stereotype primed participants should perform better and have a faster reaction rate.
Sustainable transitions in residential energy use: Characteristics and governance of urban-based initiatives across Europe.
develop a survey about Corona from the perspective of human security. Encompassing economic, food, health, environmental, personal, community and political security, this concept is sufficiently broad to capture most aspects you are interested in. At the same time, human security is a sufficiently established concept that allows for analytical depth in the discussions of the findings from the survey.
What do you think? Any idea to narrow this further down? Any suggestions on how to distribute the survey in order to increase both the number and the variety of responses?
Consider the role of the nurse informaticist in relation to a healthcare organization’s compliance with various policies and regulations, such as the Medicare Access and CHIP Reauthorization Act (MACRA).
Research and select one health or nursing informatics policy (within the past 5 years) or regulation for further study.
Create a 1-page FACT SHEET that your healthcare organization could hypothetically use to explain the health or nursing informatics policy/regulation you selected. Your fact sheet should address the following:
Briefly and generally explain the policy or regulation you selected.
Address the impact of the policy or regulation you selected on system implementation.
Address the impact of the policy or regulation you selected on clinical care, patient/provider interactions, and workflow.
Highlight organizational policies and procedures that are/will be in place at your healthcare organization to address the policy or regulation you selected.
What if you could build the next Uber, Postmates or Yelp app? What all these have in common is interactive mapping technology–a dynamic map with additional datasets that provide value-added information. In Uber’s case, the value-added dataset includes the locations of the rider and the driver, in Postmates it’s the locations of the restaurant and the place where food will be delivered, etc.
