How can analytics scholars and healthcare professionals access the
most exciting and important healthcare topics and tools for the
21st century?
Editors Tinglong Dai and Sridhar Tayur, aided by a team of
internationally acclaimed experts, have curated this timely volume to
help newcomers and seasoned researchers alike to rapidly comprehend a
diverse set of thrusts and tools in this rapidly growing
cross-disciplinary field. The Handbook covers a wide range of macro-,
meso- and micro-level thrusts--such as market design, competing
interests, global health, personalized medicine, residential care and
concierge medicine, among others--and structures what has been a highly
fragmented research area into a coherent scientific discipline.
The handbook also provides an easy-to-comprehend introduction to five
essential research tools--Markov decision process, game theory and
information economics, queueing games, econometric methods, and data
science--by illustrating their uses and applicability on examples from
diverse healthcare settings, thus connecting tools with thrusts.
The primary audience of the Handbook includes analytics scholars
interested in healthcare and healthcare practitioners interested in
analytics. This Handbook
- Instills analytics scholars with a way of thinking that incorporates
behavioral, incentive, and policy considerations in various healthcare
settings. This change in perspective--a shift in gaze away from
narrow, local and one-off operational improvement efforts that do not
replicate, scale or remain sustainable--can lead to new knowledge and
innovative solutions that healthcare has been seeking so desperately.
- Facilitates collaboration between healthcare experts and analytics
scholar to frame and tackle their pressing concerns through
appropriate modern mathematical tools designed for this very purpose.
The handbook is designed to be accessible to the independent reader, and
it may be used in a variety of settings, from a short lecture series on
specific topics to a semester-long course.
