Kantar Health

The previous webinar focused on the strengths and weaknesses of each type of patient-level data. As you learned, while there are many strengths in each type, there are also gaps. Many of these gaps can hinder answering your complete research question. So how can you use real-world data and not compromise your research? The answer is in integration, bringing these datasets together.

This webinar will examine different methods for integrating RWD so that you can answer your patient-centric research objective. As part of this integration, the webinar will also examine how integrating other types of datasets with traditional RWD can offer unique insights in ways that could never be done before. Specific user cases and research questions will be examined to help illustrate RWD integration.

Presenters:

• Tom Haskell, Global Head of Data Analytics, Kantar Health

The healthcare industry’s focus on patient centricity has meant that healthcare researchers working on behalf of the industry are looking for patient insights through a variety of channels – from healthcare providers, from the patients themselves and from biometric data, to name just a few. However, researchers face many challenges in protecting individual privacy: the copious amount of data being collected; the difficulty in keeping patient data absolutely anonymous at all times; the possibility of discovering patient information that the patients themselves are unaware of, such as from genomic sequencing; and the industry as a whole working on innovations that will change diagnosis, treatment and resource allocation that will be a potential minefield for privacy regulations.

This webinar will focus on helping you understand the tricky privacy landscape and examine how the landscape differs in different countries. It will also provide you practical advice on how to avoid pitfalls as you delve more into patient-centric research.

Presenters:

• Dr. Jessica Santos, Global Compliance and Quality Director, Kantar Health

With patient centricity the hot word in Life Sciences research right now, Real-World Data (or patient-level datasets) are absolutely critical to your research. Data suppliers are offering open claims, closed claims data, EHR data, patient registries, etc., and they claim their datasets provide exactly what you need to do your research. But can you trust these claims?

This webinar will focus on all of the different types of Real-World Data and “The Good, the Bad, and the Ugly” of each of these types to help you navigate through all of the vendor sales pitches to ask the right questions to your vendors so you can pick the best dataset for whatever your request objectives are.

Presenters:

• Tom Haskell, Global Head of Data Analytics, Kantar Health

It's not what patients say, but what they do and how they feel.

Healthcare is changing at a rapid pace, and to truly understand the individual suffering from a health condition you need to better understand the emotional drivers and challenges people face to maintain an acceptable quality-of-life, regardless of disease or condition. These make up the "Patient Ecosystem," which encompasses the person, his or her condition(s) or disease(s) and the many surrounding factors that influence behavior, attitudes, care and quality-of-life.

This Webinar will discuss a research approach that enables you to obtain insights into the relationship between the individual person and condition and the influences of behavior. By holistically working to gain a deep understanding of impactful socio-cultural influences and contextual environments, you are also able to identify and influence transformative strategies to change these behaviors.

We will use a real example with people with Irritable Bowel Syndrome (IBS) to demonstrate how we achieve an understanding of the physical, emotional and social impact of this condition.

Presenters:

• Sheila Mott, Kantar Health