Category: Data

How We Use Technology to Get Risk Adjustment Data Out of EHRs

Eric Tan, CPC, CCS

This is the second in a 4-part series called Intro to Risk Adjustment Technology. As we discussed in the first post in this series, traditional risk adjustment is incredibly manual. Coders will comb through thousands of pages of patient charts and look for documented chronic conditions. This process is time consuming and costly, not to mention that […]

The Path Forward for Healthcare Data is Deeper Insights on Patients and Doctors

Anita Joseph

At this point in time, it’s fair to say that healthcare data has not transformed healthcare the way many people thought it would. We have a lot of healthcare data, for sure, but we don’t make effective use of it. This is largely because efforts to leverage healthcare data have been scattered and unfocused. Are we worried about data […]

Intel and Apixio Release Big Data Analytics Whitepaper

Anita Joseph

Today, Intel released a whitepaper profiling Apixio’s innovative application of big data analytics to the healthcare space, through its risk adjustment application HCC Profiler. The whitepaper describes how Scripps Health used HCC Profiler to review 21,000 Medicare Advantage charts with increased accuracy and productivity. As Linda Pantovic, Scripp’s Director of Compliance and Performance Improvement said, “The […]

Understanding Healthcare’s Data Problem: 2015 Tech In Review Edition

Jamie Urborg

Understanding the full state of the patient is a difficult task for physicians when 80% of data is tough to access. What does it mean to only have 20% of all possible info? Play the latest version of our 20% game… 2015 has come and gone, and 2016 is here. But before we move on, let’s […]

Understanding Healthcare’s Data Problem: Album Cover Edition

Jamie Urborg

In healthcare, developing strong patient diagnosis and treatment recommendations takes time, resources and data. As patient data grows at an exponential rate, comprising an expected 25,000 petabytes in 2020, healthcare organizations are faced with the challenge of extracting and uncovering the value in their patient information. Unfortunately, 80% of patient data is unstructured in form, and inaccessible without […]

The Data Analyst Will See You Now

Anita Joseph

NPR recently wrote an article about a project NYU medical school students are required to do entitled, “Health Care By the Numbers.” In the project, students are given access to a massive data set with more than 5 million patient records. They are asked to analyze the records to draw conclusions about care quality. The […]

Understanding Healthcare’s Data Problem: Global Landmarks Edition

Anita Joseph

The U.S. produces over a billion clinical care documents annually, but nearly 80 percent of the data they contain is unstructured and therefore difficult to access, assemble, understand, and use. If we could access and take advantage of this unstructured data, it would be a sea change for healthcare, leading to improved the care delivery, […]

Understanding Healthcare’s Data Problem: How Well Would You Do With 20%?

Jamie Urborg

In healthcare, the information needed to provide high-quality care is difficult to access. In fact, more than 80% of the information about your medical care is written in hospital and physician office records; it is “unstructured” and generally tough to retrieve. This means, doctors often work with incomplete information about their patients when making decisions. […]

10 Jokes Only Data Scientists Will Understand

Jamie Urborg

We’ve crunched the numbers, and from the data we’ve collected, there’s a high probability you will get a laugh (or two!) from our list of 10 jokes data scientists will understand: 1. There are two kinds of data scientists: 1) Those who can extrapolate from incomplete data. 2. In data science, 80 percent of time spent […]