Table of Contents
1
Introduction
2
How Payment Accuracy Reins in Healthcare Costs
3
Value-Based Care and New Technologies
4
Of Codes and Contracts
5
Administrative Costs Keep Growing
6
Standardized Healthcare
IT Systems
7
Where Cloud-Based Systems Fit
8
Artificial Intelligence and Machine Learning
9
From Abrasive to Collaborative
(select titles below to jump to a page)
Start
Patient Engagement is the Key to Boosting Volume, Revenue, and Loyalty
10
From Abrasive to Collaborative
Healthcare Challenges
Data Science as a Service
back
next
Start
back
next
back
next
back
next
back
next
back
next
back
next
back
next
back
next
Transforming Data Analytics for Life Sciences Organizations
Change Healthcare offers a secure, hosted environment for payers, providers, pharma, and the companies that support them to unlock actionable insights about healthcare in America using advanced analytics and targeted, de-identified data.
back
next
back
next
Click on a challenge to learn more.
Use Cases
Insight. Innovation. Transformation.
Learn more at www.changehealthcare.com
© 2022 Change Healthcare LLC and/or one of its subsidiaries. All Rights Reserved.
Change Healthcare (Nasdaq: CHNG) is a leading healthcare technology company focused on insights, innovation, and accelerating the transformation of the U.S. healthcare system through the power of the Change Healthcare Platform. We provide data and analytics-driven solutions to improve clinical, financial, administrative, and patient engagement outcomes in the U.S. healthcare system.
Data Science as a Service (DSaaS)
One-Dimensional Clinical Data
Lack of Granular, Compliant Data
Regulatory and Compliance Requirements
Access to Real-World Evidence
Healthcare is teeming with data. But stakeholders’ ability to harness, analyze, and use that data is restricted. They need access to the full spectrum of diagnoses, medical procedures, prescriptions, and social determinants of health data to build and deploy compliant healthcare analytics at scale.
Life sciences organizations need deeper insights––granular views spanning geography, care settings, therapeutic areas, and reimbursement models––all while maintaining compliance.
The regulatory environment is evolving rapidly, with big data under scrutiny and regulatory forces mandating compliant, secure, and private healthcare data.
Life sciences organizations need access to evidence that goes beyond the patient encounter, and includes diagnoses, medical procedures, prescriptions, and social determinants of health data.
Click on a challenge to learn more.
Change Healthcare DSaaS puts data to work in a secure, cloud-based data modeling environment where developers can create one-of-a-kind, sophisticated models in a controlled platform that assures complete compliance. Every query is checked and re-checked to ensure it honors HIPPA regulations.
Secure Hosted Cloud
Continuous Compliance
Permissioned Data at Scale
Secure-by-design technology and data infrastructure—HITRUST® and EHNAC certified.
All DSaaS activity is persistently and automatically monitored for regulatory compliance, including
de-identification requirements, that align with the highest standards of HIPAA compliance—as well as for compliance with uses that inspire a better healthcare system.
DSaaS employs comprehensive data about healthcare in America––updated daily––spanning tens of billions of de-identified events, including diagnoses, procedures, prescriptions, and social determinants of health. This data provides granular––views across geography, care setting, therapeutic area, and reimbursement model.
Continuous Compliance:
De-identification via tokenization
Compliance program manages risk
Near real-time certification
Click on an Icon to learn more.
Real-World Evidence and Medical Economics
Drug Efficacy and Market Acceptance
Understanding Patient Utilization and Physician Prescribing Behavior
Patient Adherence and Compliance Across Populations
Explore the intersection of health economics and social determinants of health data, leveraging your own health economics and outcomes research (HEOR) and real-world evidence (RWE) to get deeper, more granular insights about both patients and providers for more effective value-based reimbursement programs.
By broadening the datasets available to researchers, DSaaS enables more in-depth analysis of the efficacy of new drugs and therapies for diverse populations. The service provides insights across geographies, care settings, therapeutic areas, and reimbursement models, significantly improving the timeliness and predictive power of data analysis.
We have historical information on diagnosis codes, procedure codes, surgical codes, and drug therapies for more than
150 million individuals using healthcare in America today.
Assess patient adherence/compliance, predict lapse rates, and model and test different countermeasures for diverse populations. Compare and contrast your performance against national healthcare system data.
For more information, visit our DSaaS site
Learn More
