How AI Can Help Dermatology: Diagnosis, Treatment, Risk, and R&D
The hype around AI is finally translating into real-world value, and we are seeing broader adoption of real-world data in Dermatology. This episode of tHEORetically Speaking features Dr. Stefan Weiss, Managing Director of Dermatology and Dr. Joseph Zabinski, Managing Director of AI and Personalized Medicine at OM1, who discuss the path to personalized medicine and AI-powered clinical decision support in dermatology.
Navigating the Clinical Outcomes Maze: An Overview of Clinical Outcomes Assessments and Why Training Matters
This webinar delves into the dynamic landscape of COAs, examining their historical use and significance, current uses and best practices, and making a case for greater standardization in their implementation.
Between Two Scientists: Data Linkage – Like Making a Fine, Blended Wine from Varietal Data Sources
This episode of tHEORetically Speaking features host Meg Richards, Executive Director of Solutions at Panalgo, who speaks with Erik Maul, Senior Director of Data Partnerships at Panalgo about data linkage.
The Sooner, the Better: Detecting and Decoding Alzheimer’s with Real-World Data
The landscape for Alzheimer’s disease is rapidly changing. This episode of tHEORetically speaking features Dr. Carl Marci from OM1 and Dr. Luke Stoeckel from NIA, as they discuss the critical need for earlier detection leading to potentially life changing earlier interventions.
Leveraging Real-World Data for Precision Obesity Treatment
Today’s episode of tHEORetically speaking features Gary Curhan, Chief Medical Officer and Jessica Paulus, Vice President of Research at OM1, as they answer questions on Leveraging Real-World Data for Precision Obesity Treatment.
Podcast Q&A: Medicare Data for RWD Analysis
Experts answer questions on the how and why use of Medicare data for conducting various types of RWD analysis is important.
Podcast Q&A: The Benefits of Linking SDOH with Other Real-World Data
This podcast segment features the Q&A from Magnolia Market Access’ April 6, 2023 webinar with HealthEconomics.Com.
Improving Patient Outcomes: AI-Based Phenotyping for Diagnosis, Treatment, and Clinical Trials
Join a panel of OM1’s clinical experts in cardiometabolic disease, immunology, and mental health as they explore how Artificial Intelligence (AI) can find phenotypic patterns and unlock insights hidden in real-world data.
How Cerner Enviza Uses Clinical Data to Drive RWE Decisions
Experts from Cerner Enviza provide a high level overview on utilizing Electronic Health Record (EHR) data to support Real World Evidence (RWE) studies.
Cracking the Code: When and How to Validate ICD Algorithms for RWE
Experts from SickKids, Genentech, Penn Medicine, and PHAR deliver a high level overview on validation of code algorithms for Real World Evidence (RWE)
Optimizing Real-World Evidence for Maternal and Neonatal Outcomes
Experts from health system innovators (C-Path), patients (PreemieWorld), healthcare payers (HealthCore/Anthem), and industry (Bayer) provide insights into improving neonatal outcomes using RWE.
How Literature Review Automation and Efficient Processes Streamline RWE HEOR Studies
Literature reviews are an essential element in Real World Evidence (RWE) HEOR studies that impact patient care, policy development, and healthcare decision making.
Podcast Q&A: HEOR for Medical Technologies for the US Healthcare System
Expert, Deepak Sahu answers questions on developing HEOR studies for generating short- and long-term effectiveness data for medical technology.
Podcast Q&A: Designing Causal Inference Studies Using Real-World Data
An expert panel answers questions on causal inference and designing these studies using real-world healthcare 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.
Overcoming Clinical Research Challenges: Analyzing EHR Data to Replicate Clinical Trials and Construct External Control Arms
Mac Bonafede, Stella Chang, and Dr. Rajesh Dash provide an overview on defeating common clinical trial barriers by combining EHR data with advanced analytics technologies.
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.
