For healthcare providers, a focus on harnessing the power of data intelligence is no longer optional. Organizations are now required to be more intentional and effective in their use of information to meet policy objectives and reach better outcomes in patient care, service and organizational performance. It’s more important than ever for integrated and collaborative relationships between providers, payers and all related services to work optimally in delivering the best care possible.
Changes in technology are prompting major revisions in how healthcare-related organizations handle all users including patients. Leaders and decision makers in healthcare organizations need single-views to more data sources and be able to report on and analyze the data with increased depth and detail to ensure compliance and discover competitive insights. And more than ever, patients are conducting research on their own and using online sources and social media to access medical information and interact with providers. Additionally, mobile device usage is making the development of strong mobility strategies a top of priority.
As a result of these rapid changes, there are many areas of business intelligence that are impacting healthcare. Here is a look at a few of the most discussed:
BI for meeting strategic and policy objectives
A lack of data integration and model coordination is one of the primary obstacles in the effective use of information by healthcare providers. Financial information, patient information and clinical information are typically siloed among their respective providers or departments. However, new and developing policy requirements are driving a push toward combining data and convergence on single or integrated data models.
Self-service data discovery tools
According to The Data Warehousing Institute (TDWI) research, one of the hottest trends in business intelligence and analytics today is personal, self-service data discovery. As data sources grow in size and availability, TDWI reports, doctors, clinicians, and other provider personnel, as well as analysts at payer firms, will need self-service analysis capabilities to do iterative, what-if exploration. The good news is that there are products available that increase these capabilities beyond simple dashboards and offer deeper, more detailed analysis.
Data visualization and analysis technologies
Data visualization will also play a critical role in harnessing the potential of stronger in-memory BI and analytics for healthcare. Non-technical users say visual representations of data is easier to grasp than dense reports and tables in daily operational decision-making about patient care and resource allocation. Visual dashboards can consolidate data and metrics from many different information sources into a single, regularly updated portals. When widely deployed, they can effectively connect users across provider and payer enterprises.
Social media networks
Search engines, social media platforms, online healthcare information sources, and portals are all changing the way healthcare information is acquired. Patients often come to appointments having conducted their own research and treatment options. But they need more free, neutral, online destinations with quality information and interactions to talk about medical conditions. A few examples of these types of social networks are Patientslikeme.com, PatientFusion and HealthTap.
There are many applications on the market that help providers do their jobs well, but doctors and nurses gain even more value from having the ability to carry information on calls with patients and even share visualizations. Mobile data collection for patient care, disease management, and other areas are also producing big data from sensors, data readings from medical equipment, geolocation data, voice recordings, and other content.
For more information on how Infovision can help your healthcare organization keep up with the changing landscape of healthcare BI, contact us an we’ll connect you with our team of business intelligence experts.
Ten Trends in BI and Analytics that are transforming healthcare