Veradigm Details the Power of Linked Healthcare Data in RWD Research
Sources of real world data (RWD) such as claims data, surveillance data gathered from disease registries, and electronic health record [...]
Veradigm Advances R&D and Patient Care Using RWD
Veradigm uses its Electronic Health Record (EHR) software to improve patient care and to advance clinical research using real world [...]
Veradigm and Lash Group Partner to Improve Patient Access to Specialty Prescription Drugs
Data solution company Veradigm and patient support services company Lash Group of Amerisource Bergen have reached an agreement that will [...]
Taking Action from RWE Analytics: Use of Health Insights Dataset Reveal Underdiagnosis and Care Gaps in NASH and NAFLD
Excerpt of tHEORetically Speaking blog post sponsored by Veradigm Nonalcoholic fatty liver disease (NAFLD), including the more aggressive NASH (nonalcoholic [...]
Using AI, NLP and Data Visualization with RWE to Generate Insights into Care Gaps: Retrospective Cohort Analysis of Fracture Risk in Patients with Osteopenia and Osteoporosis
Sponsored by Veradigm Real world data (RWD) are being used by an increasingly diverse group of stakeholders. As an example, [...]
Veradigm Platform Generates Actionable RWE
Veradigm in a recent analysis found that de-identified data from its EHR platform could be used to generate "actionable and [...]
Social Determinants of Health: When Health Care is More Than Just Medicine
CMS projects that national health spending in the United States (US) will reach almost $6 trillion by 2027. Can a focus on social risk improve health and moderate skyrocketing costs?
Veradigm Highlights Social Determinants of Health in New White Paper
Veradigm, a health information technology, analytics and intervention solutions company, in a new tHEORetically Speaking blog post highlights its new [...]
How Artificial Intelligence and Real World Data Can Improve the Management of Type 2 Diabetes: A Case Study
See how Veradigm, a business unit of Allscripts focused on generating data-driven healthcare insights using EHR data applied artificial intelligence to EHRs to improve therapeutic management of patients with concordant comorbidities who are living with type 2 diabetes.
