“Knowledge is Power, Power provides Information; Information leads to Education, Education breeds Wisdom; Wisdom is Liberation.” – Israelmore Ayivor
Tackling health analytics in the workplace can appear daunting and intimidating. It can be difficult to know where to start, what resources are needed, and what the time commitment will be – not to mention balancing the initiative with other business needs.
Most organizations have a vast number of health data sources coming from different directions and in a variety of formats. It’s important to take it one step at a time, following a step-by-step approach to identify, collect, and analyze data:
Remember, the goal is to provide a valid and “living” real-world picture of your Population at Risk (PAR) at any point in time and as it trends over time. Some of the data may seem obvious and intuitive, but additional context and data can reveal a more holistic profile of your PAR. Keep in mind the importance of privacy and confidentiality while handling employee personally identifiable information (PII) and protected health information (PHI), and consider anonymizing and/or aggregating data whenever practical.
Here are some data points and data sources to consider when collecting healthcare data analytics for your organization:
The data collection and analysis phases generally require some investment into applicable technologies and informatics expertise. Many of your data streams and databases will require “translators” and interfaces to facilitate transforming the data into a common operational format for ongoing collection and eventual analysis.
Once you’ve collected your data and identified similarities, differences, and patterns, you can query that data to create a valuable information resource for your organization. Stay tuned for a blog on best practices for making the most of your healthcare data analytics.
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