Digital therapeutics: Software is now entering mainstream therapeutic care
The news that a prominent insurer had decided to cover a digital therapeutic for opioid disorder spurred national headlines recently. In this case, the therapeutic had a breakthrough designation from the FDA. That payer decision underscored the potential as well as the challenges that have arisen around developing and marketing digital therapeutics, which have become a fast-growing segment within digital healthcare. DTx delivers clinical interventions directly to patients via software to treat, manage or prevent disease - ranging from behavioral health conditions to diabetes. We'll take a close look at this burgeoning field and see where we're headed in the years to come.
Utilizing RWD, Machine Learning, and Systems Biology
Industry leaders answer questions on utilizing real-world data, machine learning, and systems biology for benefiting therapeutic development.
Social Media Data: Opportunities and Insights for Clinical Research
Hear four experts from ICON and Kap Code provide insights on how to collect, use, analyze, and interpret social media data in different contexts. These experts share knowledge from over fifteen years of successfully developing and adapting algorithms to treat this kind of data.
Cutting Edge Conversations: Addressing Orphan and Rare Diseases
Joseph Zabinski, PhD, MEM, and Jonathan Kish, PhD, MPH, discuss how research groups are working in the realm of orphan and rare diseases.
The Value of a Multi-Source Real-World Data Strategy: How to Overcome Gaps and Limitations
Syapse experts share how to establish high quality, real-world datasets by using a multi-source strategy. A single source of data is often not enough to generate meaningful real-world evidence.
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.
Predictive Modeling and Machine Learning: Sharpening the Focus of Real-World Evidence in the Age of Precision Medicine
The challenge of real-world evidence in the age of precision medicine Real-world evidence is being used increasingly to provide important [...]
Tackling Rare Diseases with an Arsenal of Real-World Data
Technological innovations have fostered the age of big data in healthcare – and the huge populations amassed afford the ability to mine for key subpopulations -- getting down to ever more precise groups of likely responders to therapy, high-risk patients and other high-value subphenotypes.
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.
Artificial Intelligence for Real-World Evidence
Costas Boussios, VP of Data Science, OM1 Richard Gliklich, CEO, OM1 As artificial intelligence (AI) and Big Data are lauded [...]
