Week 4 Discussion
1. Clinical trial data is one excellent example of data that should be reserved, for at least a few years while the research is ongoing. Feel that delaying the release of this data will allow drug manufacturers/medical researchers to develop and test their new products and treatments away from critical eyes. When anything new is being developed, there are many iterations of the products, each test, trial, retest has data and lessons are learned. There is an old saying, “You don’t want to know how the sausage is made”,think this might apply here. If the clinical research data was released after each iteration, nothing would be allowed to be completed.
What are your thoughts?
2. Public health data is important for the good of your community, state, and the nation. Being able to track trends in healthcare is important for many reasons. Think about our pandemic and the spread of Covid and all the tracking of data that is associated with this disease. We must have methods to track this data and to protect the individual’s personal health information (PHI). Here is an article that describes “data cleaning”. Data from EHRs must be accurate and free from PHI. Since there are so many different EHR systems in use, is this an achievable outcome, if so, how?