Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

Thomas M. Connolly; Petros Papadopoulos; Mario Soflano

doi:10.4018/978-1-6684-5092-5

Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

Thomas M. Connolly^* (Editor), Petros Papadopoulos (Editor), Mario Soflano (Editor)

^*Corresponding author for this work

Applied Computer Games

Research output: Book/Report › Anthology/Edited Book

Abstract

The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as "high on promise and relatively low on data and proof." If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort.

Original language	English
Publisher	IGI Global
Number of pages	380
ISBN (Electronic)	9781668450949
ISBN (Print)	9781668450925
DOIs	https://doi.org/10.4018/978-1-6684-5092-5
Publication status	Published - Nov 2022

ASJC Scopus subject areas

Economics, Econometrics and Finance(all)
General Business,Management and Accounting
General Computer Science
General Medicine

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Documents and Links

10.4018/978-1-6684-5092-5

Cite this

@book{5a465b7acd8b4392bff0f5c07ac22ac6,

title = "Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems",

abstract = "The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as {"}high on promise and relatively low on data and proof.{"} If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort.",

editor = "Connolly, {Thomas M.} and Petros Papadopoulos and Mario Soflano",

year = "2022",

month = nov,

doi = "10.4018/978-1-6684-5092-5",

language = "English",

isbn = "9781668450925",

publisher = "IGI Global",

}

TY - BOOK

T1 - Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

A2 - Connolly, Thomas M.

A2 - Papadopoulos, Petros

A2 - Soflano, Mario

PY - 2022/11

Y1 - 2022/11

N2 - The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as "high on promise and relatively low on data and proof." If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort.

AB - The medical domain is home to many critical challenges that stand to be overcome with the use of data-driven clinical decision support systems (CDSS), and there is a growing set of examples of automated diagnosis, prognosis, drug design, and testing. However, the current state of AI in medicine has been summarized as "high on promise and relatively low on data and proof." If such problems can be addressed, a data-driven approach will be very important to the future of CDSSs as it simplifies the knowledge acquisition and maintenance process, a process that is time-consuming and requires considerable human effort.

U2 - 10.4018/978-1-6684-5092-5

DO - 10.4018/978-1-6684-5092-5

M3 - Anthology/Edited Book

AN - SCOPUS:85162105859

SN - 9781668450925

BT - Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

PB - IGI Global

ER -

Diverse Perspectives and State-of-the-Art Approaches to the Utilization of Data-Driven Clinical Decision Support Systems

Abstract

ASJC Scopus subject areas

UN SDGs

Documents and Links

Fingerprint

Cite this