eprintid: 12815
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/01/28/15
datestamp: 2023-11-10 03:27:22
lastmod: 2023-11-10 03:27:22
status_changed: 2023-11-10 01:49:36
type: conference_item
metadata_visibility: show
creators_name: Mohmad, N.
creators_name: Hassan, N.H.
creators_name: Samy, G.N.
creators_name: Abd. Aziz, N.S.
creators_name: Maarop, N.
creators_name: Abu Bakar, N.A.
title: A Review of Factors Influencing Patient Readmission Based on Data Quality Dimension Model
ispublished: pub
keywords: Diagnosis; Electronic assessment; Human resource management; Records management, Data quality; Data quality dimensions; Electronic health record; Health services; Hospital costs; Medical knowledge; Quality of data; Quality of information, Data reduction
note: cited By 1; Conference of 8th International Conference on Information Technology and Multimedia, ICIMU 2020 ; Conference Date: 24 August 2020 Through 25 August 2020; Conference Code:164897
abstract: Ensuring the quality of data in healthcare is important as to determine the level of performance of health services offered by them. The key factor that helps boost their performance are the enhancement of timely diagnosis and management of diseases and patient, keeping personnel satisfaction and lessen the hospital costs in running them. Assessing the quality of data in adoption electronic health record (EHR) and preventing the rising of patient readmission rates in Malaysia is the main concern of the project. However, there is lack of study on patient readmission factors in Malaysia and the adoption of electronic health record (EHR) also causing poor quality of patients' data to be analyzed. Lastly, delivering the information to patients is difficult and confusing because of lacking in medical knowledge and terms. Therefore, this paper proposes consistency as additional dimension for data quality dimension to be used for validating patient readmission dataset. Theoretically, this project is seen to improve the quality of information by proposing improvement in used dimension to assess data quality of EHR. On the other hand, practically, this paper will help to visualize the results of medicinal information in the form of dashboard, which can be easily understood by both patients and health practitioners. © 2020 IEEE.
date: 2020
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097644532&doi=10.1109%2fICIMU49871.2020.9243500&partnerID=40&md5=2baa08fb2c4cb491d2130472ddf4f6e0
id_number: 10.1109/ICIMU49871.2020.9243500
full_text_status: none
publication: 2020 8th International Conference on Information Technology and Multimedia, ICIMU 2020
pagerange: 26-31
refereed: TRUE
isbn: 9781728173108
citation:   Mohmad, N. and Hassan, N.H. and Samy, G.N. and Abd. Aziz, N.S. and Maarop, N. and Abu Bakar, N.A.  (2020) A Review of Factors Influencing Patient Readmission Based on Data Quality Dimension Model.  In: UNSPECIFIED.