Webinar on Adis research and analysis services

Adis will be hosting two free webinar sessions in October to provide an introduction to its range of Custom Intelligence research and analysis solutions.

The Custom Intelligence service enables organizations to employ additional expertise in research and analysis without expanding their headcount. Operating as an extension to existing teams, the Adis team of analysts will work with the organization to understand their research problem, make recommendations on the most suitable approach, and deliver results in the most appropriate format to aid interpretation. The service is used already by clients across many different industries including pharmaceutical and biotech companies, the financial and investment sector, as well academia, charitable organizations, government departments and consultancies.

The team can offer support with a wide variety of research projects, big and small, such as conference coverage, identification of licensing opportunities, visualizations of global clinical development, longitudinal pipeline analyses, and much more.

The webinars will take place on Tuesday, October 21 and Thursday, October 23, and are free for anyone to attend. All that is required is an internet connection and a phone line, to enable you to take part in the discussions.

The sessions will be hosted by Will Stow, Product Specialist for Custom Business Intelligence at Adis, and will provide an overview of the service and its primary data sources. The different kinds of services available will be explained and real-life client-use scenarios will be discussed. Following the discussion there will be time for questions from attendees.

It is recommended that interested parties register for the sessions as early as possible to secure their place, using the links provided below:

Adis has been providing high-quality content focused on the evaluation of drugs and their impact on the therapeutic landscape for over 40 years through its portfolio of leading journals and databases. To find out more visit adis.com

Invitation to contribute to a themed issue of PharmacoEconomics

“Big Data and its Application in Health Economics and Outcomes Research”

We are planning a themed issue of PharmacoEconomics on big data. The purpose of this themed issue is to advance the application of methods and analytics relevant to the use of big data in health economics and outcomes research (HEOR). This issue will become a valuable source of innovative methods and concepts specific to HEOR.

This Call for Papers arose out of the growing international interest in big data and the concurrent recognition that researchers trained in HEOR lack a collective source of papers that tackle emerging concerns for HEOR with regards to the availability of big data. Conceptual papers will discuss best practices, challenges and opportunities for the conduct of HEOR using big data. Applied papers will focus on methods for the analysis of patient-level data or the use of big data in mathematical modeling/simulation. We welcome contributions from diverse fields such as HEOR, operations research, business, finance, computer science, and engineering.

Given the purpose of this theme issue, it is important that the papers present a clear, accessible discussion that would engage researchers unfamiliar with the topic. Applied papers should present material in a way that supports the practical use of the methods among HEOR scientists. Each submitted paper should accomplish the following objectives: 1) place the paper at the intersection of big data and HEOR; 2) provide a well-balanced discussion of the practical implications or applications of their paper; 3) discuss how the paper supports the field of HEOR in harnessing the availability of big data.

Priority will be given to papers that have potential to be of practical use to the HEOR community, decision makers and payers. Papers in any of the following categories will be considered

I. General Overview articles

II. Computing Issues with Big Data

III. Data Quality Issues

IV. Current Analytical Issues

V. Emerging Methods of Analysis

VI. Characteristics of Claims-Based Databases

VII. Addressing Uncertainty

If you would like to contribute to one of these themes, please submit an abstract of up to 400 words by 31st December 2014 to chris.carswell@springer.com. Authors of selected abstracts will be notified by the end of January 2015 and asked to submit their final manuscript by 30th April 2015.
Ebere Onukwugha
Guest Editor

Christopher Carswell
Editor in Chief, PharmacoEconomics