Many healthcare providers are attempting to improve their patient services by enhancing patient outcomes and lowering costs. Big data in healthcare can make this shift possible by creating actionable information out of big data databases. 

 

Why a Shift?

Some healthcare providers aim to shift their revenue generation model from a pay-per-service model to a results-oriented mode of operation. 

The shift to value-based care positions the healthcare industry as a service industry; healthcare providers will become more concerned with improving communication and care while lowering costs. 

 

Value-Based Care

Value-based care refers to healthcare providers receiving financial rewards for patient outcomes rather than being incentivized to run extra tests or provide unnecessary services.

Value-based care also leads to personalization, as treatments must be prescribed carefully, based on the specifics of the situation. The need for value-based care has cemented the future of big data in healthcare, as data analytics in healthcare can inform a personalized approach to patient care. 

 

Big Data and Value-Based Care

Healthcare data analytics makes use of the patient data available in electronic health records (EHR), patient billing statements, and clinical notes. The aggregation of these data sources makes it possible for physicians to effectively diagnose and treat illnesses they had never personally encountered before. 

A well-informed healthcare analytics strategy is important in finding valuable insights within large piles of data. Data should be properly managed and analyzed in order to realize the potential of the benefits of big data in healthcare. Used properly, AI transforms healthcare for the better. 

 

Big Data Analytics

Big data analytics uses machine learning and AI to catch patterns that physicians can’t. Descriptive data analytics make statements about the current correlations and patterns, while prescriptive analytics in healthcare can extrapolate from that to offer insights for treating specific ailments. 

 

What Healthcare Providers Do with Big Data 

Healthcare analytics trends show that healthcare providers are beginning to jump on the big data bandwagon that many other industries are already riding. Instead of using big data to run personalized advertisements, healthcare applications of big data can help physicians provide better patient care.

Data in use can provide diagnostic assistance, clinical decision support, patient monitoring and strategic intervention, and enhance patient to physician communication. 

 

Diagnostic Assistance 

The healthcare analytics advantages are even present when physicians are working exclusively with their clinical notes. With the advent of natural language processing (NLP) capabilities, machine learning can tease out relevant patterns from the EHR that result in a quicker and more reliable diagnosis. 

An evidence-based healthcare system using big data can make use of improved data mining algorithms to help with diagnosing and dosing patients. 

Clinical Decision Support (CDS)

Predictive algorithms provide data-based insights for treatments. This makes it easier for physicians to factor in all the variables relevant to a patient’s health to provide a personalized treatment plan.

Clinical decision support systems like clinical guidelines can provide a roadmap to help physicians decide what treatment steps to take in everyday situations by pointing out the most important data points to focus on. 

 

Monitoring Conditions for Prevention and Intervention

Wearable devices make it possible for healthcare personnel to receive real-time data about the patient’s condition, which can make outpatient care more successful. 

Wearable devices can be used to gather more data on diseases and conditions or to identify hospital infections and patient health downturns more quickly. They have even been known to improve patient engagement, making treatments more effective.

 

Communication

Communication is key in the healthcare industry, and big data, with the help of NLP, makes it easier to analyze feedback and harvest insights. Increased communication enhances the feeling of patient intimacy, which can promote patient loyalty and improve the healthcare facility in the long-run.

Apps have made communication between patients and their healthcare providers more convenient. Syntelli Solutions can even analyze patient voices to turn call centers into points of valuable data generation.

 

Challenges of Big Data in Healthcare

The benefits of big data in healthcare are obvious, but applying data best practices to the healthcare industry is not without challenges. Most hospitals use EHR systems, but these systems often can’t communicate between hospitals, making it difficult to use big data to help diagnose very rare conditions. 

Even within hospitals, it can be difficult to extract relevant information from clinical notes, as healthcare professionals don’t always use consistent language to describe their patients. This makes NLP less effective and harder to use. 

 

Data Storage

Accumulating massive amounts of healthcare data can help your facility make the switch to digital value-based care, but it can also become unwieldy to store, organize, and manage. Healthcare providers must be particularly careful about data security to remain HIPAA compliant.

Healthcare providers can expect more data regulations in the future; working with Syntelli Solutions can help providers stay on top of regulations and properly manage their data. 

Data storage in the Cloud risks compliance issues while attempting to store data in your own facility can be very expensive to scale. Master Data Management (MDM) by Syntelli Solutions creates a single location for all of a company’s data, making it more affordable and accurate to leverage healthcare data.

Our MDM solution provides patient intelligence by matching patient records, improves clinical information management, and enforces information privacy so you can focus on patient care. 

 

How to Use Big Data in Your Healthcare Facility

Syntelli Solutions can help your healthcare facility get started leveraging healthcare data to its full potential. From marketing to fraud analytics, our solutions can help your business reduce waste, grow market share, and lower the costs to your patients. 

Whether you’re searching for a better way to store, manage, and analyze your data or you’re new to collecting medical data, Syntelli Solutions can be a great partner to help you reach the next level of patient care. 

Contact us today to learn more about how Syntelli Solutions will be able to help your healthcare facility make the shift to digital value-based care. 

 


 

 


 

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