Improve Clinical Outcomes with Data Analytics
Although healthcare organizations are no stranger to collecting data, healthcare is just starting to grasp the potential benefits to be gained from data analytics. The volume of data generated and stored by healthcare organizations is so overwhelming that most organizations are unable to take advantage of the data with their current resources. But, managing and harnessing the analytical power of these large datasets is pivotal to the success of healthcare organizations.
Defining Healthcare Data
In healthcare, there are three major types of data: clinical records, health research records and business operations records.
Clinical records include EHRs, digital images and information collecting medical devices. EHRs offer the opportunity, if properly managed, to transform a practice by leveraging the data inside the records and translating that information into valuable insights. For example, records obtained by an EHR can help improve clinical outcomes, enhance patient safety and encourage best practices.
Health research records ranging from bio-pharmaceutical to biotechnology are all data intensive. Research often generates large amounts of unstructured and unlabeled raw data, which is often useless to other researchers without proper context and analysis.
Business operations records include all data to run a business. These records have been digitized for quite some time; however, the data is typically not in a form that can be easily aggregated, manipulated or used to translate data into any meaningful insights.
How to use Data Analytics in Healthcare