View in EDS HTML Full Text PDF Full Text

Factors Influencing the Effectiveness of Adopting Electronic Medical Record-Based Reporting Systems for Notifiable Disease Surveillance: A Quantitative Analysis.

Saved in:
Bibliographic Details
Title: Factors Influencing the Effectiveness of Adopting Electronic Medical Record-Based Reporting Systems for Notifiable Disease Surveillance: A Quantitative Analysis.
Authors: Lee, Li-Hui1, Chuang, Jen-Hsiang2, Wu, Yu-Cih3, Chen, Wan-Nin1, Wu, Jiunn-Shyan2, Chang, Chi-Ming1, Huang, Ean-Wen1, Liu, Ding-Ping1 dinpinliu@gmail.com
Source: Journal of Medical Systems. 7/10/2023, Vol. 47 Issue 1, p1-12. 12p. 4 Diagrams, 3 Charts, 1 Graph.
Subjects: Medical information storage & retrieval systems, Public health surveillance, Communicable diseases, Cronbach's alpha, Interviewing, Logistic regression analysis, Questionnaires, Health policy, Quantitative research, Descriptive statistics, Information technology, Electronic health records, Medical records, Health information systems, COVID-19 pandemic, Reliability (Personality trait)
Geographic Terms: Taiwan
Abstract: The coronavirus disease 2019 (COVID-19) pandemic has led to greater attention being given to infectious disease surveillance systems and their notification functionalities. Although numerous studies have explored the benefits of integrating functionalities with electronic medical record (EMR) systems, empirical studies on the topic are rare. The current study assessed which factors influence the effectiveness of EMR-based reporting systems (EMR-RSs) for notifiable disease surveillance. This study interviewed staff from hospitals with a coverage that represented 51.39% of the notifiable disease reporting volume in Taiwan. Exact logistic regression was employed to determine which factors influenced the effectiveness of Taiwan's EMR-RS. The results revealed that the influential factors included hospitals' early participation in the EMR-RS project, frequent consultation with the information technology (IT) provider of the Taiwan Centers for Disease Control (TWCDC), and retrieval of data from at least one internal database. They also revealed that using an EMR-RS resulted in more timely, accurate, and convenient reporting in hospitals. In addition, developing by an internal IT unit instead of outsourcing EMR-RS development led to more accurate and convenient reporting. Automatically loading the required data enhanced the convenience, and designing input fields that may be unavailable in current databases to enable physicians to add data to legacy databases also boosted effectiveness of the reporting system. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 164799994
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Factors Influencing the Effectiveness of Adopting Electronic Medical Record-Based Reporting Systems for Notifiable Disease Surveillance: A Quantitative Analysis.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Lee%2C+Li-Hui%22">Lee, Li-Hui</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Chuang%2C+Jen-Hsiang%22">Chuang, Jen-Hsiang</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+Yu-Cih%22">Wu, Yu-Cih</searchLink><relatesTo>3</relatesTo><br /><searchLink fieldCode="AR" term="%22Chen%2C+Wan-Nin%22">Chen, Wan-Nin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Wu%2C+Jiunn-Shyan%22">Wu, Jiunn-Shyan</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Chang%2C+Chi-Ming%22">Chang, Chi-Ming</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Huang%2C+Ean-Wen%22">Huang, Ean-Wen</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Liu%2C+Ding-Ping%22">Liu, Ding-Ping</searchLink><relatesTo>1</relatesTo><i> dinpinliu@gmail.com</i>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Medical+Systems%22">Journal of Medical Systems</searchLink>. 7/10/2023, Vol. 47 Issue 1, p1-12. 12p. 4 Diagrams, 3 Charts, 1 Graph.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Medical+information+storage+%26+retrieval+systems%22">Medical information storage & retrieval systems</searchLink><br /><searchLink fieldCode="DE" term="%22Public+health+surveillance%22">Public health surveillance</searchLink><br /><searchLink fieldCode="DE" term="%22Communicable+diseases%22">Communicable diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Cronbach's+alpha%22">Cronbach's alpha</searchLink><br /><searchLink fieldCode="DE" term="%22Interviewing%22">Interviewing</searchLink><br /><searchLink fieldCode="DE" term="%22Logistic+regression+analysis%22">Logistic regression analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Questionnaires%22">Questionnaires</searchLink><br /><searchLink fieldCode="DE" term="%22Health+policy%22">Health policy</searchLink><br /><searchLink fieldCode="DE" term="%22Quantitative+research%22">Quantitative research</searchLink><br /><searchLink fieldCode="DE" term="%22Descriptive+statistics%22">Descriptive statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Information+technology%22">Information technology</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+health+records%22">Electronic health records</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+records%22">Medical records</searchLink><br /><searchLink fieldCode="DE" term="%22Health+information+systems%22">Health information systems</searchLink><br /><searchLink fieldCode="DE" term="%22COVID-19+pandemic%22">COVID-19 pandemic</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+%28Personality+trait%29%22">Reliability (Personality trait)</searchLink>
– Name: SubjectGeographic
  Label: Geographic Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Taiwan%22">Taiwan</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The coronavirus disease 2019 (COVID-19) pandemic has led to greater attention being given to infectious disease surveillance systems and their notification functionalities. Although numerous studies have explored the benefits of integrating functionalities with electronic medical record (EMR) systems, empirical studies on the topic are rare. The current study assessed which factors influence the effectiveness of EMR-based reporting systems (EMR-RSs) for notifiable disease surveillance. This study interviewed staff from hospitals with a coverage that represented 51.39% of the notifiable disease reporting volume in Taiwan. Exact logistic regression was employed to determine which factors influenced the effectiveness of Taiwan's EMR-RS. The results revealed that the influential factors included hospitals' early participation in the EMR-RS project, frequent consultation with the information technology (IT) provider of the Taiwan Centers for Disease Control (TWCDC), and retrieval of data from at least one internal database. They also revealed that using an EMR-RS resulted in more timely, accurate, and convenient reporting in hospitals. In addition, developing by an internal IT unit instead of outsourcing EMR-RS development led to more accurate and convenient reporting. Automatically loading the required data enhanced the convenience, and designing input fields that may be unavailable in current databases to enable physicians to add data to legacy databases also boosted effectiveness of the reporting system. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Medical Systems is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=164799994
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10916-023-01971-y
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1
    Subjects:
      – SubjectFull: Medical information storage & retrieval systems
        Type: general
      – SubjectFull: Public health surveillance
        Type: general
      – SubjectFull: Communicable diseases
        Type: general
      – SubjectFull: Cronbach's alpha
        Type: general
      – SubjectFull: Interviewing
        Type: general
      – SubjectFull: Logistic regression analysis
        Type: general
      – SubjectFull: Questionnaires
        Type: general
      – SubjectFull: Health policy
        Type: general
      – SubjectFull: Quantitative research
        Type: general
      – SubjectFull: Descriptive statistics
        Type: general
      – SubjectFull: Information technology
        Type: general
      – SubjectFull: Electronic health records
        Type: general
      – SubjectFull: Medical records
        Type: general
      – SubjectFull: Health information systems
        Type: general
      – SubjectFull: COVID-19 pandemic
        Type: general
      – SubjectFull: Reliability (Personality trait)
        Type: general
      – SubjectFull: Taiwan
        Type: general
    Titles:
      – TitleFull: Factors Influencing the Effectiveness of Adopting Electronic Medical Record-Based Reporting Systems for Notifiable Disease Surveillance: A Quantitative Analysis.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Lee, Li-Hui
      – PersonEntity:
          Name:
            NameFull: Chuang, Jen-Hsiang
      – PersonEntity:
          Name:
            NameFull: Wu, Yu-Cih
      – PersonEntity:
          Name:
            NameFull: Chen, Wan-Nin
      – PersonEntity:
          Name:
            NameFull: Wu, Jiunn-Shyan
      – PersonEntity:
          Name:
            NameFull: Chang, Chi-Ming
      – PersonEntity:
          Name:
            NameFull: Huang, Ean-Wen
      – PersonEntity:
          Name:
            NameFull: Liu, Ding-Ping
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 10
              M: 07
              Text: 7/10/2023
              Type: published
              Y: 2023
          Identifiers:
            – Type: issn-print
              Value: 01485598
          Numbering:
            – Type: volume
              Value: 47
            – Type: issue
              Value: 1
          Titles:
            – TitleFull: Journal of Medical Systems
              Type: main
ResultId 1