Showing 1-5 of 34 data studies & next generation registries:
How can Life Science Technology Providers Support the Pharmaceutical Industry in the Transition Toward More Digitally Connected Operations?

June 24, 2024 Pharma’s Almanac Read the full article >> Rich Gliklich, M.D., Chief Executive Officer and founder, OM1 One impactful way will be through platforms that enable data and study automation. In recent remarks, FDA Commissioner Dr. Robert Califf argued that there is tremendous opportunity to simplify and digitize data collection to create more pragmatic[…]

OM1, a Pioneer in Patient Registries, Launches Its Registries Center of Excellence

With a commitment to advancing innovation in patient registries from inception through implementation, the Registries CoE represents a pivotal step toward addressing critical gaps in clinical research June 13, 2024 09:00 AM Eastern Daylight Time Business Wire Read the full press release >> BOSTON–(BUSINESS WIRE)–OM1, the leader in delivering first-in-class RWE technological advancements and AI-powered[…]

Shifting the Paradigm to Pragmatic Evidence Generation

Integrated evidence generation (IEG) is a framework for generating evidence to support regulatory decision-making in healthcare, automate real-world data collection and grow evergreening data networks that fuel a variety of needs.

A new era of integrated evidence generation: Deep dive into OM1 case study spotlight from the DIA Real-World Evidence Conference 2023

November 1, 2023 The Evidence Base Read the full article >> In a recent presentation at the DIA Real-Word Evidence (RWE) Conference (October 16–17, 2023, Baltimore, MD, USA), Sonja Wustrack, Managing Director of Integrated Evidence Generation at OM1 (MA, USA), discussed strategies for optimizing evidence generation in clinical research. She described the OM1 approach to[…]

Reclaiming registries for integrated evidence generation throughout the product life cycle

BioPharma Dive 9/18/23 Read the full article >> Integrated Evidence Generation Integrated evidence generation (IEG) is a framework for generating evidence to support decision-making in healthcare. IEG leverages an ensemble of existing real-world data sources and new data collection to generate evidence that is ‘fit-for-purpose’[i], meaning that the real-world data (RWD) and the evidence that[…]

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