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Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis

BACKGROUND: Clinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology systems have not been frequently used to date. Because...

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Detalles Bibliográficos
Autores principales: Schreiweis, Björn, Brandner, Antje, Bergh, Björn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493461/
https://www.ncbi.nlm.nih.gov/pubmed/34546175
http://dx.doi.org/10.2196/13790
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author Schreiweis, Björn
Brandner, Antje
Bergh, Björn
author_facet Schreiweis, Björn
Brandner, Antje
Bergh, Björn
author_sort Schreiweis, Björn
collection PubMed
description BACKGROUND: Clinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology systems have not been frequently used to date. Because medical information systems' underlying data collection methods strongly influence the benefits of implementing patient recruitment support systems, we investigated patient recruitment support system requirements and corresponding electronic record types such as electronic medical record, electronic health record, electronic medical case record, personal health record, and personal cross-enterprise health record. OBJECTIVE: The aim of this study was to (1) define requirements for successful patient recruitment support system deployment and (2) differentiate and compare patient recruitment support system–relevant properties of different electronic record types. METHODS: In a previous study, we gathered requirements for patient recruitment support systems from literature and unstructured interviews with stakeholders (15 patients, 3 physicians, 5 data privacy experts, 4 researchers, and 5 staff members of hospital administration). For this investigation, the requirements were amended and categorized based on input from scientific sessions. Based on literature with a focus on patient recruitment support system–relevant properties, different electronic record types (electronic medical record, electronic health record, electronic medical case record, personal health record and personal cross-enterprise health record) were described in detail. We also evaluated which patient recruitment support system requirements can be achieved for each electronic record type. RESULTS: Patient recruitment support system requirements (n=16) were grouped into 4 categories (consent management, patient recruitment management, trial management, and general requirements). All 16 requirements could be partially met by at least 1 type of electronic record. Only 1 requirement was fully met by all 5 types. According to our analysis, personal cross-enterprise health records fulfill most requirements for patient recruitment support systems. They demonstrate advantages especially in 2 domains (1) supporting patient empowerment and (2) granting access to the complete medical history of patients. CONCLUSIONS: In combination with patient recruitment support systems, personal cross-enterprise health records prove superior to other electronic record types, and therefore, this integration approach should be further investigated.
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spelling pubmed-84934612021-12-07 Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis Schreiweis, Björn Brandner, Antje Bergh, Björn JMIR Form Res Original Paper BACKGROUND: Clinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology systems have not been frequently used to date. Because medical information systems' underlying data collection methods strongly influence the benefits of implementing patient recruitment support systems, we investigated patient recruitment support system requirements and corresponding electronic record types such as electronic medical record, electronic health record, electronic medical case record, personal health record, and personal cross-enterprise health record. OBJECTIVE: The aim of this study was to (1) define requirements for successful patient recruitment support system deployment and (2) differentiate and compare patient recruitment support system–relevant properties of different electronic record types. METHODS: In a previous study, we gathered requirements for patient recruitment support systems from literature and unstructured interviews with stakeholders (15 patients, 3 physicians, 5 data privacy experts, 4 researchers, and 5 staff members of hospital administration). For this investigation, the requirements were amended and categorized based on input from scientific sessions. Based on literature with a focus on patient recruitment support system–relevant properties, different electronic record types (electronic medical record, electronic health record, electronic medical case record, personal health record and personal cross-enterprise health record) were described in detail. We also evaluated which patient recruitment support system requirements can be achieved for each electronic record type. RESULTS: Patient recruitment support system requirements (n=16) were grouped into 4 categories (consent management, patient recruitment management, trial management, and general requirements). All 16 requirements could be partially met by at least 1 type of electronic record. Only 1 requirement was fully met by all 5 types. According to our analysis, personal cross-enterprise health records fulfill most requirements for patient recruitment support systems. They demonstrate advantages especially in 2 domains (1) supporting patient empowerment and (2) granting access to the complete medical history of patients. CONCLUSIONS: In combination with patient recruitment support systems, personal cross-enterprise health records prove superior to other electronic record types, and therefore, this integration approach should be further investigated. JMIR Publications 2021-09-21 /pmc/articles/PMC8493461/ /pubmed/34546175 http://dx.doi.org/10.2196/13790 Text en ©Björn Schreiweis, Antje Brandner, Björn Bergh. Originally published in JMIR Formative Research (https://formative.jmir.org), 21.09.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Formative Research, is properly cited. The complete bibliographic information, a link to the original publication on https://formative.jmir.org, as well as this copyright and license information must be included.
spellingShingle Original Paper
Schreiweis, Björn
Brandner, Antje
Bergh, Björn
Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
title Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
title_full Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
title_fullStr Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
title_full_unstemmed Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
title_short Applicability of Different Electronic Record Types for Use in Patient Recruitment Support Systems: Comparative Analysis
title_sort applicability of different electronic record types for use in patient recruitment support systems: comparative analysis
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493461/
https://www.ncbi.nlm.nih.gov/pubmed/34546175
http://dx.doi.org/10.2196/13790
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