Health Analytic Informatics

I often talk about on the Health Analytic Insights podcast some of the data challenges that health informatic professionals might face on a day-to-day basis when it comes to cleaning and wrangling healthcare data within their job. In this blog post, I am going to summarize some of the challenges Read more

Data cleansing and manipulation is an area where many analysts will focus their time. Missing data is prevalent in the healthcare system and can stem from a variety of reasons. For example, technical issues with medical equipment might result in missing data when collecting heart rate data or survey respondents Read more

The use of synthetic data is being more widely used in research fields specifically when dealing with healthcare data. In this blog post, I am going to go over what is synthetic data and how it is having a growing impact on the health informatics field. What is synthetic data? Read more

I recently received an insightful question from a listener of the Health Analytic Insights podcast! Who asked me “What skill sets are important to be successful in this field?”. Here is my personalized list: Being an analytics translator Technical experience Domain knowledge Critical thinking skills Lifetime learner Being an Analytics Read more

I was first encouraged to read Reframing Healthcare by Dr. Zeev Neuwirth, when I interviewed Daniel Yeboah who is the Founder and General Manager of Ellerca Health Corp, whose mission is to improve patient care through leading technologies and innovation. You can listen to that episode here. I am glad Read more

When I first graduated from my Masters in Biomedical Engineering, my impression was that after all this schooling it would be relatively easy to find a job in my field. However, this was not the case at all! What really helped me to get my first job was primarily the Read more

When it comes to applying for health informatics jobs there are some considerations that would be best to add to your resume and cover letter to help increase your chances of obtaining the job. I recently did a resume review for someone who was a recent health informatics graduate and Read more

Data cleaning is usually what takes up the largest portion of an analyst’s time. Some articles report, 80% of an analyst’s time is spent in the data cleaning stage, whereas 20% is spent on the “fun” analytical work. This can include creating complex machine learning algorithms or interactive dashboards and Read more