November 15 2016 | 0 Comments | 188 reads Average Rating: 3

Getting to Know Six Non-Healthcare Data Types

by Eileen Cianciolo in Population Health

Population health management programs typically rely on clinical and claims information to determine how patients fare under various treatment approaches. But that information only tells part of the story.

To get the complete picture, these programs should combine traditional information from payers, providers or life sciences organizations with various behavioral data from non-healthcare sources. Here are six non-healthcare data types that can help:

Socio-economic data such as a person’s income, education attained, or employment status, could be determinants of well-being.

Demographic information including data on population size, age, race and ethnicity could have implication related to the type of healthcare services needed.

Geographic data can shed light on the resources available to certain patients. For example, if a patient lives in a food desert that would have significant implications when treating obesity.

Psychographic data, which zeros in on a patient’s attitudes, lifestyle, interests, personality and values can provide insight into how likely patients or populations are to comply with various treatment interventions.

Attitudinal data provides insight into the importance a patient places on their health or health maintenance.

Performance data can help organizations access how well various programs or interventions are working – and then make any necessary adjustments.

Harvesting and analyzing behavioral data can offer a better understanding of why clinical outcomes have occurred and enable more accurate predictive evaluations because it accounts for the impact various stimuli and outside forces have on patient decisions and reactions. The integration of behavioral data also can offer ways to test new interventions, as well as build upon current ones that have proven effective and eliminate those that haven’t produced the desired results.

While population health programs should continue to use clinical and claims data first to identify results and outliers for their patients and groups, layering in one or multiple types of behavior data will help to better understand variances and predict how patients may respond to future interventions. For example, once an initiative determines and understands a problem one of their patient groups is facing, they could use socio-economic data to better predict if a new intervention would be too costly to be successful. Or the program could turn to psychographic or geographic data to see how well these patients would adhere to an intervention that requires traveling to take tests or report data.

Combining clinical and behavioral data has an unlimited potential to help population health programs make better decisions and drive better outcomes, while also improving operational efficiencies and patient satisfaction across the care continuum.

Can you think of any patient care situations where it would be beneficial to tap into some non-traditional data sources?

Rate this Article:

Rating: 
Average: 3 (2 votes)

Author
Eileen Cianciolo
Chief Product Officer

A seasoned healthcare executive, Eileen brings her 25 years of experience in the health care industry, including leadership roles in product management, product development, and operations to SCIO.

Read full profile and other posts |

Log in to post comments

SEARCH BLOG

OUR THOUGHT LEADERS

Arun Rangamani
SVP, Care Optimization and SCIOXpert Services


Ben Steverman
Chief Technology Officer


Bob Abrahamson
Vice President, Product Management


David Hom
Chief Evangelist


Dr. Kevin Keck
Chief Medical Officer


Jen Cressman
Vice President, Professional Services


John Pagliuca
Vice President, Life Sciences


Jonathan Niloff, MD (Guest Author)
President, Niloff Healthcare Strategies, LLC


Lalithya Yerramilli
Vice President, Analytics


Lesli Adams, MPA (Guest Author)
Director of Population Health Strategy, Oracle Corporation


Leslie Strader
Project Manager


Linda Pantovic (Guest Author)
Director of Compliance & Risk Adjustment, Scripps Health Plan Services


Mark Feeney
Life Sciences Consultant


Monique Pierce
Vice President, Business Optimization


Nayfe Faillace
Chief Compliance & Privacy Officer


Nicole Cormier
Senior Manager, Home Health


Priyanka Rajkumar
VP - SCIOXpert and Solutions, Analytics


Rachel Hall
Senior Business Analyst


Rena Bielinski
SVP, Strategic Accounts


Rodger Smith
SVP, Payment Integrity


Rose Higgins
President, North America


Subha Vaidyanathan
VP, Technology and Data Management


Taryn Bevilacqua
Compliance Director


Tom Peterson
SVP, Risk Adjustment


ARCHIVES

Sign up to receive the latest SCIO news & insights, industry updates, event updates and more, right in your inbox.