Change management is an entire discipline and has a special place in healthcare. If we look specifically at health informatics this might involve the implementation of a new EHR system and the processes that are in place to carry out this task and have clinicians begin to use the new Read more…
There are so many different types of healthcare data (e.g., healthcare claims, patient demographic information, diagnostic information etc…). In this blog post, I want to talk about a specific type of healthcare data – genomic data and the potential to integrate this data into EHR (electronic health record) system, to Read more…
As you move through your career in the health informatics field you might want to know about advanced roles in this field, that can be added to your long-term career goals. In this blog post, I will be going over 3 advanced health informatics roles. 1. Chief Medical Information Officer Read more…
You might have heard me refer to creating a clinical business intelligence portfolio to distinguish yourself from others when applying for health informatics roles. In this blog post I want to dive into how clinical business intelligence can help to improve patient outcomes and as a result, its importance within Read more…
I have received a lot of positive feedback on a previous post I did, on some of the interview questions I have received during my job search. Since then I have had an opportunity to talk to different individuals who are preparing for the interview process and I wanted to Read more…
Informatics is a diverse field with many different disciplines given that this is the Health Analytic Insights site, in this blog post I am going to focus on 4 types of informatics disciplines: Health Informatics, Bioinformatics, Pharmacy Informatics and Nursing Informatics. These disciplines have overlapping skills and interests but do Read more…
When it comes to making advances in health informatics, taking a look at the different interoperability layers within healthcare and the standards that are used to exchange data between health systems is key. The Healthcare Information and Management Systems Society (HIMSS) defines interoperability within 4 levels: Foundational, Semantic, Structural and Read more…
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…