Medical data integration using HL7 standards for patient’s early identification
Integration between information systems is critical, especially in the healthcare domain, since interoperability requirements are related to patients’ data confidentiality, safety, and satisfaction. The goal of this study is to propose a solution based on the integration between queue management sol...
محفوظ في:
| المؤلف الرئيسي: | |
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| مؤلفون آخرون: | , |
| منشور في: |
2021
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| الوصول للمادة أونلاين: | https://bspace.buid.ac.ae/handle/1234/3018 https://doi.org/10.1371/journal.pone.0262067. |
| الوسوم: |
إضافة وسم
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| _version_ | 1862980613922881536 |
|---|---|
| author | A. AlQudahl, Adi |
| author2 | Al-Emran, Mostafa Shaalan, Khaled |
| author2_role | author author |
| author_facet | A. AlQudahl, Adi Al-Emran, Mostafa Shaalan, Khaled |
| author_role | author |
| dc.creator.none.fl_str_mv | A. AlQudahl, Adi Al-Emran, Mostafa Shaalan, Khaled |
| dc.date.none.fl_str_mv | 2021 2025-05-14T09:52:35Z 2025-05-14T09:52:35Z |
| dc.identifier.none.fl_str_mv | AlQudah, A.A., Al-Emran, M. and Shaalan, K. (2021) “Medical data integration using HL7 standards for patient’s early identification,” PloS one, 16(12), p. e0262067. 1932-6203, 1932-6203 https://bspace.buid.ac.ae/handle/1234/3018 https://doi.org/10.1371/journal.pone.0262067. |
| dc.language.none.fl_str_mv | en |
| dc.publisher.none.fl_str_mv | PLOS ONE |
| dc.relation.none.fl_str_mv | PloS onev16 n12 (2021): e0262067 |
| dc.title.none.fl_str_mv | Medical data integration using HL7 standards for patient’s early identification |
| dc.type.none.fl_str_mv | Article |
| description | Integration between information systems is critical, especially in the healthcare domain, since interoperability requirements are related to patients’ data confidentiality, safety, and satisfaction. The goal of this study is to propose a solution based on the integration between queue management solution (QMS) and the electronic medical records (EMR), using Health Level Seven (HL7) protocols and Extensible Markup Language (XML). The proposed solu tion facilitates the patient’s self-check-in within a healthcare organization in UAE. The solu tion aims to help in minimizing the waiting times within the outpatient department through early identification of patients who hold the Emirates national ID cards, i.e., whether an Emir ati or expatriates. The integration components, solution design, and the custom-designed XML and HL7 messages were clarified in this paper. In addition, the study includes a simula tion experiment through control and intervention weeks with 517 valid appointments. The experiment goal was to evaluate the patient’s total journey and each related clinical stage by comparing the “routine-based identification” with the “patient’s self-check-in” processes in case of booked appointments. As a key finding, the proposed solution is efficient and could reduce the “patient’s journey time” by more than 14 minutes and “time to identify” patients by 10 minutes. There was also a significant drop in the waiting time to triage and the time to fin ish the triage process. In conclusion, the proposed solution is considered innovative and can provide a positive added value for the patient’s whole journey. |
| id | budr_89ff3141540c33b379079aa265e2f0de |
| identifier_str_mv | AlQudah, A.A., Al-Emran, M. and Shaalan, K. (2021) “Medical data integration using HL7 standards for patient’s early identification,” PloS one, 16(12), p. e0262067. 1932-6203, 1932-6203 |
| language_invalid_str_mv | en |
| network_acronym_str | budr |
| network_name_str | The British University in Dubai repository |
| oai_identifier_str | oai:bspace.buid.ac.ae:1234/3018 |
| publishDate | 2021 |
| publisher.none.fl_str_mv | PLOS ONE |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Medical data integration using HL7 standards for patient’s early identificationA. AlQudahl, AdiAl-Emran, MostafaShaalan, KhaledIntegration between information systems is critical, especially in the healthcare domain, since interoperability requirements are related to patients’ data confidentiality, safety, and satisfaction. The goal of this study is to propose a solution based on the integration between queue management solution (QMS) and the electronic medical records (EMR), using Health Level Seven (HL7) protocols and Extensible Markup Language (XML). The proposed solu tion facilitates the patient’s self-check-in within a healthcare organization in UAE. The solu tion aims to help in minimizing the waiting times within the outpatient department through early identification of patients who hold the Emirates national ID cards, i.e., whether an Emir ati or expatriates. The integration components, solution design, and the custom-designed XML and HL7 messages were clarified in this paper. In addition, the study includes a simula tion experiment through control and intervention weeks with 517 valid appointments. The experiment goal was to evaluate the patient’s total journey and each related clinical stage by comparing the “routine-based identification” with the “patient’s self-check-in” processes in case of booked appointments. As a key finding, the proposed solution is efficient and could reduce the “patient’s journey time” by more than 14 minutes and “time to identify” patients by 10 minutes. There was also a significant drop in the waiting time to triage and the time to fin ish the triage process. In conclusion, the proposed solution is considered innovative and can provide a positive added value for the patient’s whole journey.PLOS ONE2025-05-14T09:52:35Z2025-05-14T09:52:35Z2021ArticleAlQudah, A.A., Al-Emran, M. and Shaalan, K. (2021) “Medical data integration using HL7 standards for patient’s early identification,” PloS one, 16(12), p. e0262067.1932-6203, 1932-6203https://bspace.buid.ac.ae/handle/1234/3018https://doi.org/10.1371/journal.pone.0262067.enPloS onev16 n12 (2021): e0262067oai:bspace.buid.ac.ae:1234/30182025-05-14T09:58:10Z |
| spellingShingle | Medical data integration using HL7 standards for patient’s early identification A. AlQudahl, Adi |
| title | Medical data integration using HL7 standards for patient’s early identification |
| title_full | Medical data integration using HL7 standards for patient’s early identification |
| title_fullStr | Medical data integration using HL7 standards for patient’s early identification |
| title_full_unstemmed | Medical data integration using HL7 standards for patient’s early identification |
| title_short | Medical data integration using HL7 standards for patient’s early identification |
| title_sort | Medical data integration using HL7 standards for patient’s early identification |
| url | https://bspace.buid.ac.ae/handle/1234/3018 https://doi.org/10.1371/journal.pone.0262067. |