HealthEconomics.com

tHEORetically Speaking

Science EN ↓ Odcinki: 86

Insights, observations, and executive interviews that discuss data and evidence to guide value-based decisions in health care. For more, visit our blog: https://healtheconomics.com/theoretically-speaking/

Koniecznie odwiedź stronę podcastu i wesprzyj twórcę: healtheconomics.com

Autor

HealthEconomics.com

Kategoria

Science

Strona podcastu

healtheconomics.com

Ostatni odcinek

8 maj 2026

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Odcinki

tHEORetically speaking: Infectious Disease Modeling 22.11.2022

In this episode of tHEORetically Speaking, join Marija Zivkovic-Gojovic, Richard Pitman, and Pragya Khurana as they answer questions on infectious disease modeling, the assessment of interventions, and the challenges around these analyses. 

tHEORetically speaking: Getting Real About Real-World Data 17.11.2022

In this episode of tHEORetically speaking, Bill Saunders from IntegraConnect discusses  Real-World Data and Real-World Evidence in the context of value-based care and precision medicine for specialty care. To read the full blog and watch the interview click here .

tHEORetically speaking: Utilizing RWD, Machine Learning, and System Biology 27.10.2022

In this episode of tHEORetically Speaking, join Nitin Baliga, Insitute for Systems Biology, and Thomas Brown, Syapse as they answer questions on utilizing real-world data, machine learning, and systems biology for benefiting therapeutic development.

tHEORetically speaking: How Accelerated Drug Development Requires Disruption in Market Access and Pricing 13.10.2022

 We recently sat down with Preeti Patel, MPharm, CEO and Founder of GPI, to learn what is driving the growing importance for early stage asset value and price prediction, how GPI is supporting clients through these challenges, and how this solution was developed. Global Pricing Innovations (GPI) is a price and access insights company that uses analytics to provide data-driven, evidence-based suppo...

tHEORetically speaking: Evidence Generation Planning 18.08.2022

In this episode of tHEORetically speaking, join Colin Oliver, Anila Dede, Erwin De Cock, and Arshi Gupta from Syneos Health as they answer questions on evidence generation planning for clinical and commercial success and improvement of patient outcomes.

tHEORetically speaking: Renee Willmon on Health Storylines 15.07.2022

In this episode of tHEORetically speaking, join Renee Willmon as she answers questions on Health Storylines, a disease-agnostic and customizable platform that connects healthcare stakeholders to engaged patients.

tHEORetically speaking: Information for Healthcare Decision-Makers 12.07.2022

In this episode of tHEORetically speaking, join Earlene Biggs, Gary Owens, and Renee Fleming, as they answer questions regarding information sharing with healthcare decision-makers for optimized engagement.

tHEORetically speaking: Embracing FDA Guidance on Real World Data 23.06.2022

In this episode of tHEORetically speaking, join Raina Olexa and Mui Van Zandt as they answer questions on embracing FDA’s guidance on the use of real world data (RWD) to understand how your organization can navigate data quality, curation, and management challenges for better research.

tHEORetically speaking: Algorithms for Real World Evidence 21.06.2022

In this episode of tHEORetically Speaking, join Eric Benchimol, Karina Raimundo, Anil Vachani, and Michael Broder as they answer questions on validation of code algorithms for Real World Evidence (RWE).

tHEORetically speaking: Real-World Evidence and Neonatal Outcomes 16.06.2022

In this episode of tHEORetically Speaking, join Eric Stanek, Michael Grabner, Deb Discenza, Jennifer Degl, and Thomas Miller as they answer questions on improving neonatal outcomes using Real World Evidence (RWE). To learn more, click here .

tHEORetically speaking: Literature Review Automation 30.05.2022

In this episode of tHEORetically speaking, join Shirley Sylvester, Vardhini Ganesh, Richa Goyal Rai, and Lee-Anne Bourke as they answer questions where they discuss how literature review automation helps solve the daily challenges facing research professionals. To learn more click here . 

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