process of predictive analyticsPutting Healthcare Environmental Services Data to Work for You

Moving from Data Presentation
to Data Analytics is a Process

 get startted with es data analysis

Use Healthcare and Environmental Services Data Analytics in your Infection Prevention Toolkit Infograph

 

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In this world of data overload, turning data into insight is a key differentiator in a healthcare system’s level of service and profitability. In Using Healthcare and Environmental Services Data Analytics for Infection Prevention, we discuss the use of Environmental Services (ES) data in providing insight for infection prevention and success with value-based care (decreasing reimbursement penalties).

Now let’s look at the process of turning data into a decision support platform. There are numerous articles that discuss turning data into intelligence and how to get there. Some common themes about the process of turning your data into a predictive analytics platform are:

  Put together a competent team that seeks input from all stakeholders and empower them with tools and authority.
  Get requirements from the people on the ground as well as the C-suite. Having a voice is key to buy-in. And without buy-in, data governance can be challenging.
earth icon  Know where you are at. What data do you have? How is it structured? Do you have any manipulation tools? Where are you on the popular Data Maturity Model continuum by Markus Sprenger that describes companies with no usable data to companies with comprehensive predictive analytics driving strategy?
  Determine what metrics are important to you. What is your end game? Pick the top metrics that give you the most return and start there.
  Make sure you have clean data. The old saying “garbage in, garbage out” is as true today as it ever was. Data governance is everyone’s job and making it a priority is a responsibility from the top down. Set standards for data across all your organizations.
  Start with visualization. Companies in Sprenger’s Data Maturity Model didn’t start in Stage 5, they evolved into Stage 5. Implementing visualization tools is a good starting point. Start by visualizing basic results and correlations over time. This can evolve as more data is captured and correlated into deeper analysis and finally predictive analytics.

 

Get started today! Investigate your available data and the impact visualization and analytics can have on your fight against healthcare acquired conditions and patient safety scores. Contact us for data analytics professional services.      

Miss Part One of This Series?

Visit Using Healthcare and Environmental Services Data Analytics for Infection Prevention.

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About HAIvia, a DocuFi Spinoff

HAIvia strives to simplify and improve healthcare professionals’ decision making with easily accessible data analysis. Our solutions allow these professionals to easily capture and analyze their data and most importantly, turn the data into actionable knowledge. This knowledge enhances patient quality of care and improves operational efficiencies in more than 500 hospitals every day. Learn more at HAIvia.