Invitation to Contribute to a Themed Issue on “Big Data and its Application to Public Health Decision Making”

Invitation to Contribute to a Themed Issue on “Big Data and its Application to Public Health Decision Making”

PharmacoEconomics announces a themed issue on big data analytics and its application to healthcare decision making, with a focus on health economics and outcomes research (HEOR).  The purpose of this themed issue is to showcase the application of big data analytics and HEOR concepts in healthcare decision making.  This issue will become a valuable source of innovative real-world applications of HEOR methods and big data analytics (including artificial intelligence and machine learning methods).

This Call for Papers arose out of the growing international demand for real-world evidence and increased use of HEOR concepts in healthcare decision making, together with sustained international interest in big data. The demand for real world evidence is being met by using HEOR tools and big data analytics. We seek to highlight these efforts. Thus, this Call for Papers invites applied papers that lie at the intersection of HEOR, big data analytics, and healthcare decision making. We welcome contributions from diverse international decision contexts including decision making for individuals at high risk for poor health outcomes, uninsured/low income/difficult-to-reach populations, or health disparity populations.

Given the purpose of this themed issue, we will consider only applied papers. It is important that the papers present a clear, accessible discussion that would engage researchers unfamiliar with the decision context.  Each submitted paper should accomplish the following objectives: 1) place the paper at the intersection of big data, HEOR, and healthcare decision making; 2) provide a well-balanced discussion of the real-world implications of their findings; 3) discuss how the paper supports the field of HEOR in harnessing the availability of big data.

Priority will be given to papers that illustrate the use of big data analytics and HEOR concepts in real-world decision making. We will consider papers in any of the following categories as they relate to decision making:

I.  Emerging Methods of Analysis
II.  Data Quality Issues
III.  Data Linkages
IV.  Health Information Technology
V.  Translating Evidence from Prior Studies

If you would like to contribute to one of these themes, please submit an abstract of up to 400 words by 31st May 2020 to chris.carswell@springer.com . Authors of selected abstracts will be notified by the end of June 2020 and asked to submit their final manuscript by 31st August 2020.

Eberechukwu Onukwugha

Guest Editor

Christopher Carswell

Editor in Chief

PharmacoEconomics