Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era

Colin Wilcox; Soufiene Djahel; Vasileios Giagos

doi:10.1109/ISNCC52172.2021.9615774

Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era

Colin Wilcox, Soufiene Djahel, Vasileios Giagos

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Incomplete data due to discrepancies between medical data sources and their storage methods represents a serious concern as it may lead to the loss, or misrepresentation of important medical information. This concern is anticipated to grow in the era of smart healthcare as the volume, variety and speed at which medical data is collected will increase significantly. This paper aims to identify the main causes of data incompleteness in the medical domain, discuss some techniques currently used to build a complete medical picture and highlight how they may affect the consistency and accuracy of the collected data. It also outlines future research directions to efficiently handle data incompleteness and its consequences.

Original language	English
Title of host publication	2021 International Symposium on Networks, Computers and Communications, ISNCC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
ISBN (Electronic)	9780738113166, 9781665403047
ISBN (Print)	9781665448291
DOIs	https://doi.org/10.1109/ISNCC52172.2021.9615774
Publication status	Published - 25 Nov 2021
Externally published	Yes
Event	2021 International Symposium on Networks, Computers and Communications - Dubai, United Arab Emirates Duration: 31 Oct 2021 → 2 Nov 2021

Conference

Conference	2021 International Symposium on Networks, Computers and Communications
Abbreviated title	ISNCC 2021
Country/Territory	United Arab Emirates
City	Dubai
Period	31/10/21 → 2/11/21

UN SDGs

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

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10.1109/ISNCC52172.2021.9615774Licence: Unspecified

Cite this

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title = "Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era",

abstract = "Incomplete data due to discrepancies between medical data sources and their storage methods represents a serious concern as it may lead to the loss, or misrepresentation of important medical information. This concern is anticipated to grow in the era of smart healthcare as the volume, variety and speed at which medical data is collected will increase significantly. This paper aims to identify the main causes of data incompleteness in the medical domain, discuss some techniques currently used to build a complete medical picture and highlight how they may affect the consistency and accuracy of the collected data. It also outlines future research directions to efficiently handle data incompleteness and its consequences.",

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author = "Colin Wilcox and Soufiene Djahel and Vasileios Giagos",

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Wilcox, C, Djahel, S & Giagos, V 2021, Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era. in 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021., 9615774, Institute of Electrical and Electronics Engineers Inc., 2021 International Symposium on Networks, Computers and Communications, Dubai, United Arab Emirates, 31/10/21. https://doi.org/10.1109/ISNCC52172.2021.9615774

Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era. / Wilcox, Colin; Djahel, Soufiene; Giagos, Vasileios.

2021 International Symposium on Networks, Computers and Communications, ISNCC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. 9615774.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era

AU - Wilcox, Colin

AU - Djahel, Soufiene

AU - Giagos, Vasileios

PY - 2021/11/25

Y1 - 2021/11/25

N2 - Incomplete data due to discrepancies between medical data sources and their storage methods represents a serious concern as it may lead to the loss, or misrepresentation of important medical information. This concern is anticipated to grow in the era of smart healthcare as the volume, variety and speed at which medical data is collected will increase significantly. This paper aims to identify the main causes of data incompleteness in the medical domain, discuss some techniques currently used to build a complete medical picture and highlight how they may affect the consistency and accuracy of the collected data. It also outlines future research directions to efficiently handle data incompleteness and its consequences.

AB - Incomplete data due to discrepancies between medical data sources and their storage methods represents a serious concern as it may lead to the loss, or misrepresentation of important medical information. This concern is anticipated to grow in the era of smart healthcare as the volume, variety and speed at which medical data is collected will increase significantly. This paper aims to identify the main causes of data incompleteness in the medical domain, discuss some techniques currently used to build a complete medical picture and highlight how they may affect the consistency and accuracy of the collected data. It also outlines future research directions to efficiently handle data incompleteness and its consequences.

KW - Healthcare

KW - Medical data accuracy

KW - Medical data incompleteness

KW - Medical systems

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U2 - 10.1109/ISNCC52172.2021.9615774

DO - 10.1109/ISNCC52172.2021.9615774

M3 - Conference contribution

AN - SCOPUS:85123440316

SN - 9781665448291

BT - 2021 International Symposium on Networks, Computers and Communications, ISNCC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 International Symposium on Networks, Computers and Communications

Y2 - 31 October 2021 through 2 November 2021

ER -

Identifying the Main Causes of Medical Data Incompleteness in the Smart Healthcare Era

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UN SDGs

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