Healthcare analytics: A techno-functional perspective

Sumanta Singha, Himanshu Arha and Arpan Kumar Kar

Technological Forecasting and Social Change, 2023, vol. 197, issue C

Abstract: The use of data analytics, particularly Artificial Intelligence (AI), has significantly transformed decision-making in healthcare. However, academic scholarship has expressed concerns over the misalignment of research priorities and their impact on data usage and choice of analytics. On the one hand, an inadequate understanding of healthcare themes and algorithmic nuances has posed difficulty for healthcare professionals to evaluate AI solutions and understand their generalizability and potential biases. On the other hand, the abundance of analytical tools, their complexity, and a misalignment between data type and analysis methods have presented major challenges for analysts in selecting a suitable method. As a result, healthcare research has mostly developed in silos. We propose a techno-functional framework that combines the perspectives of analysts and healthcare professionals, identifies key research themes (i.e., healthcare delivery, patient engagement, data management, market design, and policy and governance), and presents critical research questions that can guide future studies. We also propose a schema for segmenting analysis techniques based on data type and analytical complexity. This schema may help analysts select a suitable analysis technique and data to solve a specific problem. Our study aims to improve the understanding of healthcare analytics among researchers, analysts, and healthcare professionals and present a roadmap for future research.

Keywords: Healthcare; Analytics; Artificial intelligence; Techno-functional framework; Big data (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0040162523005930
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:tefoso:v:197:y:2023:i:c:s0040162523005930

DOI: 10.1016/j.techfore.2023.122908

Access Statistics for this article

Technological Forecasting and Social Change is currently edited by Fred Phillips

More articles in Technological Forecasting and Social Change from Elsevier
Bibliographic data for series maintained by Catherine Liu ().