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Reduction in healthcare resource use through 24 months following sinus surgery with steroid-eluting implants in chronic rhinosinusitis patients with and without nasal polyps: a real-world study

Taylor & Francis Online April 6, 2023 Read the full manuscript >> Objective: To investigate the impact of steroid-eluting implants after endoscopic sinus surgery (ESS) on health care resource use (HCRU) in chronic rhinosinusitis patients with (CRSwNP) and without (CRSsNP) nasal polyps. Methods: This retrospective, observational cohort study using real-world evidence data included adult patients[…]

Dermatology Data Can Direct Policy Priorities, but Gaps Reflect Inequities of Care

American Journal of Managed Care Mar 17, 2023 Christina Mattina Read the Full Article >> Speakers at the American Academy of Dermatology 2023 Annual Meeting highlighted the potential of DataDerm to tell the story of dermatological care in the United States, but some also cautioned that the registry only reflects those who have access to[…]

RAPID3 Scores May Help Determine the Impact of DMARD Therapy on PsA Severity

Dermatology Times Mar 19, 2023 Kaitlyn Bader Read the Full Article >>   A poster presentation from AAD 2023 explored RAPID3 scores to evaluate patient-reported outcomes in routine clinical practice therapy decisions regarding PsA. There is a lack of evidence investigating the impact of patient-reported outcomes (PROs) monitoring in routine clinical practice, according to a[…]

Interview with OM1’s Jessica Paulus at SCOPE

Published on: March 9, 2023 Applied Clinical Trials Watch the Full Interview >> Key Learning Objectives: Challenges people encounter when working with RWD How can RWD help address gaps in care? How OM1 engages or supports health equity research using RWD

AI Uncovers Other Patients Like You to Support Doctors with ChatGPT

Watch the full interview from Healthcare IT about ChatGPT for un-diagnosed patients with Joseph Zabinski, PhD, Senior Director, AI & Personalized Medicine at OM1. The road to diagnosis can be taxing for patients and once diagnosed, personalized treatment plans are still created with an element of guess work. Automation and artificial intelligence (AI) are the[…]

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