Addressing current and upcoming challenges in healthcare analytics

Research output: Chapter in Book/Report/Conference proceedingChapter


Future medical discoveries and breakthroughs remain uncertain yet inevitable. It is clear, however, that healthcare analytics must evolve to meet both existing and forthcoming challenges of clinical research. Generally, areas requiring evolution can be grouped broadly into: issues with data and computing, expanding end-user requirements, and specialty care needs. The complexity and magnitude of computing demands currently inhibit effective delivery of healthcare analytics, including massively parallel computing environments and ever-evolving specialized algorithms. Adoption of analytics by healthcare organizations (HCOs) and meeting the ongoing need to efficiently process large quantities of heterogeneous data for use by end users remain difficult. Providing “personalized care” through use and integration of genomic and other unique biomedical data plus the associated challenges of “unlocking” information from clinical documents represent two of the most important and complex data issues.

Original languageEnglish (US)
Title of host publicationAnalytics in Healthcare
Subtitle of host publicationAn Introduction
PublisherTaylor and Francis
Number of pages11
ISBN (Electronic)9781498757317
ISBN (Print)9781938904646
StatePublished - Jan 1 2021

Bibliographical note

Publisher Copyright:
© 2014 by the Healthcare Information and Management Systems Society.


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