5 Common Predictive Modeling Mistakes to Avoid at Your Health System

Big data has become the ”promised land” for healthcare – yet the industry is still learning how to put that valuable data to use, including when marketing to patients.

Most health systems have accumulated massive quantities of patient, provider, and market claims data at this point. However, they often lack robust health analytics to understand the behavior of current patients and populations they’d like to target. 

Fortunately, healthcare-specific marketing technologies are becoming more sophisticated, and most healthcare CRM platforms include built-in predictive analytics. Propensity modeling in particular is a must-have for successful digital marketing teams. It’s a statistical approach that’s used to predict the likelihood that a specific event will occur. Marketers may apply a range of diagnostic, demographic, encounter history, and other variables to predict the likelihood that a patient is, say, a viable candidate for bariatric surgery. If yes, the patient is added to the target audience for a bariatric campaign and receives messages according to rules for that audience. 

Propensity modeling makes the wealth of data available to health systems more actionable. First, propensity models consider a wide array of variables and mathematically condense them. Next, the models derive patterns and relationships from discrete datasets and translate them into key insights. These insights allow marketers to build more strategic, impactful campaigns. 

The process of building propensity models, however, is not simple. Analysts who don’t carefully vet their data sources or who succumb to so-called “overfitting” their models see campaigns fall flat, wasting a great deal of time, money, and other resources.
More

Evariant

Evariant

Evariant provides a leading healthcare CRM solution suite designed to help health systems transform the healthcare experience for their consumers, patients, and physicians. Built on the Salesforce Platform, our solutions foster richer consumer/patient engagement and tighter physician alignment. Powered by cutting-edge data and analytics, Evariant enables health systems to effectively communicate care options that increase revenue and market share, while optimizing network utilization. Many of the top health systems have selected Evariant to thrive in today’s hyper-competitive and rapidly changing environment.
Evariant

Using Big Data Analytics to Create Customer Intimacy in Healthcare

The sheer volume of data available to – and underutilized by – healthcare organizations is staggering.

According to market intelligence firm IDC, 175 zettabytes of data will be stored worldwide by 2025. That’s a massive amount of data, especially when only 4.4 zettabytes of data existed in 2013. Since 2016, healthcare data in particular has experienced an amazing growth rate of 878 percent.

Competitive health systems leverage this data to build lifelong customer and patient relationships. The process of deriving insights from this data is commonly referred to as health analytics. These insights are used to build and foster customer relationships with the ultimate goal of optimizing patient acquisition, retention, and clinical outcomes.
More

Evariant

Evariant

Evariant provides a leading healthcare CRM solution suite designed to help health systems transform the healthcare experience for their consumers, patients, and physicians. Built on the Salesforce Platform, our solutions foster richer consumer/patient engagement and tighter physician alignment. Powered by cutting-edge data and analytics, Evariant enables health systems to effectively communicate care options that increase revenue and market share, while optimizing network utilization. Many of the top health systems have selected Evariant to thrive in today’s hyper-competitive and rapidly changing environment.
Evariant

Batch vs. Stream Processing: What’s Best for Healthcare Big Data

batch processing vs real time processing for healthcare big dataThe healthcare industry is undergoing a big data revolution. By 2025, 175 zettabytes of data will exist, which is almost four times the amount of data that existed in 2018. Every year, data grows at an astounding rate, reaching volumes that are nearly incomprehensible.

What does big data mean for healthcare – and what are the limitations?

With this massive influx of patient and physician data from EHRs, surveys, personal data sources, and more, healthcare institutions need effective ways to harness the information to master precision marketing, optimize the patient experience, and improve network utilization.

Historically, the healthcare industry has lagged in technology adoption. In fact, many systems still rely on large data processing in the form of batch processing, which is limited by its inability to process data quickly. Stream processing, on the other hand, supports near real-time data processing, giving health systems a higher level of accuracy with time-sensitive data processing.
More

Evariant

Evariant

Evariant provides a leading healthcare CRM solution suite designed to help health systems transform the healthcare experience for their consumers, patients, and physicians. Built on the Salesforce Platform, our solutions foster richer consumer/patient engagement and tighter physician alignment. Powered by cutting-edge data and analytics, Evariant enables health systems to effectively communicate care options that increase revenue and market share, while optimizing network utilization. Many of the top health systems have selected Evariant to thrive in today’s hyper-competitive and rapidly changing environment.
Evariant

Leveraging Health Data Insights to Unlock Opportunities for Growth

In today’s competitive healthcare landscape, health systems are searching for new ways to attract and retain patients. Currently, 81 percent of patients are unsatisfied with their healthcare experience – which may explain why almost half of US adults between the ages of 23 and 53 are seeking a new healthcare provider. 

I’ll pause to let that sink in.

Almost half of US adults between the ages of 23 and 53 (aka predominantly commercially insured patients) are seeking a new healthcare provider.

As a result, healthcare systems must focus on creating campaigns that satisfy existing patients while attracting new patients into the practice. This requires in-depth, targeted data to attain a new level of business intelligence.

More

Jessica Friedeman

Jessica Friedeman

Jessica Friedeman serves Evariant as Vice President, Product Marketing. Leveraging over a decade of experience in the healthcare industry, Jessica provides product, strategy and industry support so as to deliver solutions that maximize client’s marketing and organizational strategy. Jessica additionally served Evariant as Vice President, Solutions Engineering, lending technical support to the sales process. Prior to Evariant, she served as Director, Solutions Support at Truven Health Analytics (now IBM Watson Health), where she was responsible for ensuring the successful positioning and growth of the Marketing & Planning business lines.

Using Healthcare Data to Identify Opportunities in Your Market

In today’s healthcare environment, it’s challenging for organizations to pinpoint exactly where ripe opportunities exist. This stems from a lack of access to valuable contributing data inputs and/or the ability to conduct analysis on – or across – multiple data sets. 

At its crux, identifying healthcare opportunities should be a result of discovering underlying needs within a customer or physician segment, service line, and/or geographical area.

However, many healthcare organizations simply don’t have the necessary analytical power to uncover these valuable insights, partially due to siloed consumer, patient, and physician data.

As a result, it’s important to leverage a tool that can store, organize, and analyze large amounts of data from all corners of the organization. In addition to this, tools that guide users to the most important insights achieve faster time to value – creating high-value opportunities.

More

Jessica Friedeman

Jessica Friedeman

Jessica Friedeman serves Evariant as Vice President, Product Marketing. Leveraging over a decade of experience in the healthcare industry, Jessica provides product, strategy and industry support so as to deliver solutions that maximize client’s marketing and organizational strategy. Jessica additionally served Evariant as Vice President, Solutions Engineering, lending technical support to the sales process. Prior to Evariant, she served as Director, Solutions Support at Truven Health Analytics (now IBM Watson Health), where she was responsible for ensuring the successful positioning and growth of the Marketing & Planning business lines.