Hard to Define, Harder to Find Patients: Using AI & Real-World Data to Understand Treatment Resistant Depression
Mental health conditions can take a staggering toll on an individual physically, socially and financially. Many patients languish with [...]
Will 2023 Be the Year AI Disrupts Healthcare?
Before we get to 2023, let’s talk about 2022—specifically about a technology that DIDN’T fulfill its promise last year: [...]
How might digitization change health care in Germany by 2035, Julian Molitor?
Digital health could improve the efficiency, care and way patients are treated in all health care systems in the next [...]
A Magnet for the Haystack: Using AI to Find Rare Disease Patients
Correctly identifying a patient with a rare disease can be like looking for a needle in a haystack: by definition, each rare disease has fewer than 200,000 patients out of more than 300M people in the US.
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
This blog reports practical uses of RWD sourced from the largest, cloud-based electronic health record (EHR) platform in the United States, offered by Veradigm® as part of its Health Insights database.
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.
