Data Analytics 2018-01-03T23:50:25+00:00

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.

data-analytics-dynafiosClinical 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


Understand department readiness to manage clinical, operational & financial data


Inform and empower clinicians with the ability to use analytics and gain actionable insights


Identify opportunities for improvement and deploy best practices in real-time


Deploy and measure physician alignment strategies to improve quality and lower costs


Transforming Health Care through Big Data Analytic Tools:
A Guide to Choosing the Right Health Care Analytic Tool for Hospitals and Health Systems


How We Help


Improve Clinical Outcomes Using Real-Time Analytics

Automatically aggregate historical data to establish benchmarks to track and measure KPI improvement over a set time.


Manage Disparate Data to Save Time & Improve Quality

Review financial, operational and quality performance both at an individual or at a defined group level.


Compare Performance to Benchmarks & Best Practices

Automatically aggregate historical data to establish benchmarks to track and measure KPI improvement over a set time.

Learn How Data Analytics Can Improve Performance at Your Organization