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Medical data integration using HL7 standards for patient’s early identification
by
Shaalan, Khaled
, Al-Emran, Mostafa
, AlQudah, Adi A.
in
Added value
/ Appointments and Schedules
/ Computer and Information Sciences
/ Computer Security
/ Confidentiality
/ Data Collection
/ Data integration
/ Delivery of Health Care
/ Departments
/ Document markup languages
/ Electronic Health Records
/ Electronic medical records
/ Evaluation
/ Extensible Markup Language
/ Health care
/ Health facilities
/ Health Level Seven
/ Hospitals
/ Humans
/ Information systems
/ Integration
/ Interoperability
/ Management
/ Medical Informatics - methods
/ Medical records
/ Medicine and Health Sciences
/ Methods
/ Outpatients
/ Patient Safety
/ Patient Satisfaction
/ Patients
/ People and Places
/ Pharmacy
/ Programming Languages
/ Queues (Computers)
/ Risk Assessment
/ Software
/ Systems Integration
/ Triage
/ United Arab Emirates
/ Workflow
2021
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Medical data integration using HL7 standards for patient’s early identification
by
Shaalan, Khaled
, Al-Emran, Mostafa
, AlQudah, Adi A.
in
Added value
/ Appointments and Schedules
/ Computer and Information Sciences
/ Computer Security
/ Confidentiality
/ Data Collection
/ Data integration
/ Delivery of Health Care
/ Departments
/ Document markup languages
/ Electronic Health Records
/ Electronic medical records
/ Evaluation
/ Extensible Markup Language
/ Health care
/ Health facilities
/ Health Level Seven
/ Hospitals
/ Humans
/ Information systems
/ Integration
/ Interoperability
/ Management
/ Medical Informatics - methods
/ Medical records
/ Medicine and Health Sciences
/ Methods
/ Outpatients
/ Patient Safety
/ Patient Satisfaction
/ Patients
/ People and Places
/ Pharmacy
/ Programming Languages
/ Queues (Computers)
/ Risk Assessment
/ Software
/ Systems Integration
/ Triage
/ United Arab Emirates
/ Workflow
2021
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Medical data integration using HL7 standards for patient’s early identification
by
Shaalan, Khaled
, Al-Emran, Mostafa
, AlQudah, Adi A.
in
Added value
/ Appointments and Schedules
/ Computer and Information Sciences
/ Computer Security
/ Confidentiality
/ Data Collection
/ Data integration
/ Delivery of Health Care
/ Departments
/ Document markup languages
/ Electronic Health Records
/ Electronic medical records
/ Evaluation
/ Extensible Markup Language
/ Health care
/ Health facilities
/ Health Level Seven
/ Hospitals
/ Humans
/ Information systems
/ Integration
/ Interoperability
/ Management
/ Medical Informatics - methods
/ Medical records
/ Medicine and Health Sciences
/ Methods
/ Outpatients
/ Patient Safety
/ Patient Satisfaction
/ Patients
/ People and Places
/ Pharmacy
/ Programming Languages
/ Queues (Computers)
/ Risk Assessment
/ Software
/ Systems Integration
/ Triage
/ United Arab Emirates
/ Workflow
2021
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Medical data integration using HL7 standards for patient’s early identification
Journal Article
Medical data integration using HL7 standards for patient’s early identification
2021
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Overview
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 solution facilitates the patient’s self-check-in within a healthcare organization in UAE. The solution 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 Emirati 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 simulation 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 finish the triage process. In conclusion, the proposed solution is considered innovative and can provide a positive added value for the patient’s whole journey.
Publisher
Public Library of Science,Public Library of Science (PLoS)
Subject
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