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Webinars starting with S

Successful AI Use Cases in Pharma

Successful AI Use Cases in Pharma
Wednesday, 16 November 2022

AI-ML can be used across various use cases in Bio Pharma. While popularly known to be used for identifying and accelerating new drug discovery & clinical applications especially in precision medicine, there is relevant and powerful application within the commercial setting as well to enable the right patients access to the right treatment at the right time.

In this presentation, Definitive Healthcare will showcase use cases across functions.

  • A primary care drug hone & target to optimize a narrow strategic opportunity successfully (T2d)
  • An expensive first in class statin with a niche indication find appropriate patients & broaden access
  • Enabled a Biotech to get to market faster via accelerated enrollment
  • Optimized patient compliance and reduced Patient Support Program spend via targeted interventions thru AI-ML predictive risk scoring of patients for non-compliance along with AI to determine top reason for non-compliance enabling right intervention at right time for right patient within Patient Hub

Shorten Cohort Definition Times for RWE/HEOR Projects with Iterative Web-speed Creation and Visual Comparison of Patient Populations

Shorten Cohort Definition Times for RWE/HEOR Projects with Iterative Web-speed Creation and Visual Comparison of Patient Populations
Saturday, 15 August 2020

Using traditional methods, defining, analyzing, comparing, and finalizing a cohort of patients for HEOR and RWE analysis can often take months, impacting the ability to answer questions. Today, advanced technology, including AI and machine learning, enables a user to define and instantly generate a cohort including descriptive statistics such as age/gender distributions, patient counts, record counts, test, diagnosis, and Rx volumes, geographic distributions, and more. The ability to quickly adjust cohort definitions in a user-friendly format can also reduce the time it takes to understand results and their impact on the given analysis.

In this webinar, you’ll understand how advanced platform technologies can shorten the time it takes to create cohort definitions and iterate on cohort variables with output formats that meet unique business needs — such as charts, graphs, box plots, Sankey plots, and more. We’ll also look at:

  • Patient journey discovery
  • Real time cohort comparison
  • Provider relationship graphs

Presenters:

  • Jason Bhan, MD, Co-founder and Chief Medical Officer, Prognos Health
  • Kristian Kaufmann, PhD, Principal Data Scientist, Prognos Health

Shattering Commercial Silos

Shattering Commercial Silos
Wednesday, 30 October 2019

This webinar will focus on breaking down the social construct in pharmaceuticals regarding the necessity of silos. The presentation will begin with a summary of silos and the types of silos that exist, both internally and externally. The pros and cons of building silos in the first place will be discussed From there, problems with silos are presented. Patrick Lencioni described silos as “a waste of resources, (that can) kill productivity, and jeopardize the achievement of goals.”

After learning about silos and the dangers they present, advice on breaking them down, and the benefits of doing so, will be presented. The presentation will then discuss creating synergized, multichannel silos that work together and benefit each other. Such silos look at stakeholders and analyze the interactions of multiple channels. Due to the synergy of multiple channels instead of direct, top-to-bottom approaches, multichannel is a more efficient implementation of silos in the pharmaceutical industry.

Presenters:

  • Mitchell Krassan, Chief Strategy & Performance Officer, TherapeuticsMD

Sales Compensation in the Pharmaceutical Industry, Session 3: Innovations in Pharma Sales Compensation

Sales Compensation in the Pharmaceutical Industry, Session 3: Innovations in Pharma Sales Compensation
Tuesday, 17 October 2017

Join this session to hear and see some of the recent and coming innovations in sales compensation. We will share some of the cutting-edge work being done in this space by both pharma and non-pharma companies.

Topics will include:

  • Gamification
  • Artificial Intelligence
  • Cognitive Automation
  • Behavioral Science
  • Collaborative Planning

Presenters:

  • Bhavik Gandecha, Solutions Consultant, Optymyze
  • Erich Sachse, VP Services Delivery, Optymyze

Sales Compensation in the Pharmaceutical Industry, Session 2: Pharma Plan Design & Modeling

Sales Compensation in the Pharmaceutical Industry, Session 2: Pharma Plan Design & Modeling
Wednesday, 20 September 2017

Join this session to learn how to design an effective sales compensation plan, from conceptualization to rollout. Plan design requires balancing a number of factors, including selling roles, sales and marketing strategy, compensation philosophy and competitiveness, product lifecycle and characteristics, and available data.

Effective plan design also requires an investment in modeling. This presentation will review some of the ways you should model your new plan both retrospectively and prospectively. Plan modeling is also a great place to leverage advanced analytic techniques, and we will share innovative modeling tools that can be used to ensure that your plans motivate the sales force while also being fiscally sustainable.

Presenters:

  • Dan Stewart, Professional Services Manager, Optymyze
  • Kriti Dua, Professional Services Senior Consultant, Optymyze

Sales Compensation in the Pharmaceutical Industry, Session 1: Pharma Sales Comp 101

Sales Compensation in the Pharmaceutical Industry, Session 1: Pharma Sales Comp 101
Wednesday, 06 September 2017

Join this session to learn the basics of sales compensation in the pharma industry. Presenters will share common types of plans in the pharma industry, and some of the considerations for each of these plan types. We will also review plan effectiveness best practices to help you self-assess your organization to know if your comp plans are working and allow you to track results on an ongoing basis.

In addition, we will share from our extensive experience in industries outside of Pharma. As the pharma landscape and selling model have evolved, it’s even more critical that we learn from companies that have faced similar challenges, regardless of industry. We will review similarities and differences, and how problems from other industries can be relevant to us in the pharma industry.

Presenters:

  • Erich Sachse, VP Services Delivery, Optymyze