Utilisation of hospital information systems for medical research in Saudi Arabia: A mixed-method exploration of the views of healthcare and IT professionals involved in hospital database management systems

2019 ◽  
Vol 49 (2-3) ◽  
pp. 117-126 ◽  
Author(s):  
Halima Samra ◽  
Alice Li ◽  
Ben Soh ◽  
Mohammed Al Zain
Keyword(s):  
Saudi Arabia ◽  
Information Systems ◽  
Data Collection ◽  
Medical Research ◽  
Data Exchange ◽  
Universal Access ◽  
Hospital Information Systems ◽  
Management Systems ◽  
It Professionals ◽  
And Storage

Background: Although in recent times the Saudi government has paid much attention to the adaptation of hospital information systems (HIS) and electronic medical records (EMR), the importance of utilising HIS to enhance medical research has been neglected. Objective: We aimed to (i) investigate the current state of medical research in Saudi Arabia, (ii) identify possible issues that hinder improvement of medical research and (iii) identify possible solutions to enhance the role of HIS in medical research in Saudi Arabia. Method: We used a questionnaire and structured interview approach. Questionnaires were distributed to Saudi healthcare professionals. One hundred responses to our questionnaire were captured by the online Google Form designed specifically for our survey. Structured interviews with two IT professionals were conducted regarding technical aspects of their hospital data management systems. Results: Six themes contributing to the inefficacy of HIS in medical research in Saudi Arabia emerged from the data: incorrect datasets, difficult data collection and storage, poor data analytics, a lack of system interoperability across different HIS for universal access and negative perception of the usefulness of HIS for medical research. Conclusion and implications: Our findings suggest (i) cloud-based HIS would support efficient, reliable and integrated data collection and storage across all hospitals in Saudi Arabia; (ii) EMR data sources should be seamlessly linked to avoid incomplete, fragmented or erroneous EMR in Saudi Arabia; and (iii) collaboration between all hospitals in Saudi Arabia to adopt a uniform standard to support interoperability and improve data exchange and integration is necessary.

On Creating a Patient-centric Database from Multiple Hospital Information Systems

2012 ◽  
Vol 51 (03) ◽  
pp. 210-220 ◽  
Author(s):  
B. De La Iglesia ◽  
S. Donell ◽  
V. Rayward-Smith ◽  
J. Bettencourt-Silva
Keyword(s):  
Prostate Cancer ◽  
Information Systems ◽  
Data Collection ◽  
Clinical Research ◽  
Knowledge Discovery ◽  
Secondary Care ◽  
Data Retrieval ◽  
Hospital Information Systems ◽  
Patient Centric

SummaryBackground: The information present in Hospital Information Systems (HIS) is heterogeneous and is used primarily by health practitioners to support and improve patient care. Conducting clinical research, data analyses or knowledge discovery projects using electronic patient data in secondary care centres relies on accurate data collection, which is often an ad-hoc process poorly described in the literature.Objectives: This paper aims at facilitating and expanding on the process of retrieving and collating patient-centric data from multiple HIS for the purpose of creating a research database. The development of a process roadmap for this purpose illustrates and exposes the constraints and drawbacks of undertaking such work in secondary care centres.Methods: A data collection exercise was carried using a combined approach based on segments of well established data mining and knowledge discovery methodologies, previous work on clinical data integration and local expert consultation. A case study on prostate cancer was carried out at an English regional National Health Service (NHS) hospital.Results: The process for data retrieval described in this paper allowed patient-centric data, pertaining to the case study on prostate cancer, to be successfully collected from multiple heterogeneous hospital sources, and collated in a format suitable for further clinical research.Conclusions: The data collection exercise described in this paper exposes the lengthy and difficult journey of retrieving and collating patient-centric, multi-source data from a hospital, which is indeed a non-trivial task, and one which will greatly benefit from further attention from researchers and hospital IT management.

scholarly journals Usage of Standards to Integration of Hospital Information Systems

2020 ◽  
Vol 9 (1) ◽  
pp. 28
Author(s):  
Leila Shahmoradi ◽  
Maryam Ebrahimi ◽  
Somayeh Shahmoradi ◽  
Ahmadreza Farzanehnejad ◽  
Hajar Moammaie ◽  
...  
Keyword(s):  
Information Systems ◽  
Literature Review ◽  
Data Exchange ◽  
Hospital Information Systems ◽  
Descriptive Statistics ◽  
Healthcare Facilities ◽  
Healthcare Information Systems ◽  
Security Standards ◽  
Structured Questionnaire

Introduction: Data exchange across healthcare facilities is a major issue in healthcare information systems. Standards play an important role in the context of communication. In this paper, we surveyed the usage of standards in the hospital information systems (HISs) in the affiliated hospitals of Tehran University of Medical Sciences.Material and Methods: This survey was performed in 2014-2015. A total of 17 hospitals with HISs were surveyed. The data were collected using a structured questionnaire. The design of the questionnaire was based on a literature review and consisted of three parts. Descriptive statistics were used to analyze the data.Results: XML, HL7 and DICOM are commonly used international interchange standards. In the case of security standards, 76.5% of HISs do not support the HIPPA and CEN TC 251 security standards.  ICD was the most commonly used terminology standard in the HISs. Several studies have indicated that HISs should cover data exchange, security and terminology standards to provide integration of heterogeneous systems.Conclusion: In the current study, the role of standards in the architecture of the HISs was inconspicuous. To make the HIS effective, it is necessary to consider the standards when developing the system. In this matter, legislation could help.

OpenEDC: an open-source, standard-compliant, and mobile electronic data capture system for medical research (Preprint)

2021 ◽  
Author(s):  
Leonard Greulich ◽  
Stefan Hegselmann ◽  
Martin Dugas
Keyword(s):  
Data Collection ◽  
Medical Research ◽  
Open Source ◽  
Clinical Data ◽  
Data Exchange ◽  
Data Capture ◽  
Digital Data ◽  
Quality Data ◽  
Electronic Data Capture ◽  
Electronic Data

BACKGROUND Medical research and machine learning for healthcare depend on high-quality data. Electronic data capture (EDC) systems are widely adopted for metadata-driven digital data collection. However, many systems use proprietary and incompatible formats that inhibit clinical data exchange and metadata reuse. In addition, configuration and financial requirements of typical EDC systems frequently prevent small-scale studies to profit from their eminent benefits. OBJECTIVE The goal was to develop and publish an open-source EDC system that addresses the aforementioned issues. We planned applicability of the system in a wide range of research projects. METHODS We conducted a literature-based requirements analysis to identify academic and regulatory demands towards digital data collection. After designing and implementing OpenEDC, we performed a usability evaluation to obtain feedback from users. RESULTS We identified 20 frequently stated requirements towards EDC. According to the ISO/IEC 25010 norm, we categorized the requirements into functional suitability, availability, compatibility, usability, and security. We developed OpenEDC based on the regulatory-compliant Clinical Data Interchange Standards Consortium Operational Data Model standard. Mobile device support enables the collection of patient-reported outcomes. OpenEDC is publicly available and released under the MIT open-source license. CONCLUSIONS Adopting an established standard without modifications supports metadata reuse and clinical data exchange but it limits item layouts. OpenEDC is a standalone web application that can be used without setup or configuration. This should foster compatibility of medical research and open science. OpenEDC is targeted at observational and translational research studies by clinician scientists.

Status and Perspective of Hospital Information Systems in Japan

1999 ◽  
Vol 38 (03) ◽  
pp. 200-206 ◽  
Author(s):  
Y. Ogushi ◽  
Y. Okada ◽  
M. Kimura ◽  
I Kumamoto ◽  
Y. Sekita ◽  
...  
Keyword(s):  
Information Systems ◽  
Hospital Information Systems ◽  
Office Work ◽  
Patient Registration ◽  
Hospital Managers ◽  
Obvious Benefit ◽  
History Of ◽  
Questionnaire Surveys ◽  
Future Hospital ◽  
Order Entry Systems

AbstractQuestionnaire surveys were sent to hospital managers, designed to shape the policy for future hospital information systems in Japan. The answers show that many hospitals use dedicated management systems, especially for patient registration and accounting, and personnel, food control, pharmacy and financial departments. In many hospitals, order-entry systems for laboratory tests and prescriptions are well developed. Half of the hospitals have patient databases used for inquiries of basic patient information, history of outpatient care and hospital care. The most obvious benefit is the reduction of office work, due to effective hospital information system. Many hospital managers want to use the following sub systems in the future for automatic payment, waiting time display, patient records search, automatic prescription verification, drug side-effect monitoring, and graphical display of patient record data.

An Integrated Approach for a Knowledge-based Clinical Workstation: Architecture and Experience

1998 ◽  
Vol 37 (01) ◽  
pp. 16-25 ◽  
Author(s):  
P. Ringleb ◽  
T. Steiner ◽  
P. Knaup ◽  
W. Hacke ◽  
R. Haux ◽  
...  
Keyword(s):  
Decision Support ◽  
Information Systems ◽  
Patient Care ◽  
Hospital Information Systems ◽  
Medical Decision ◽  
Daily Routine ◽  
Functional Requirements ◽  
Support Functions ◽  
Knowledge Based ◽  
Clinical Workstation

Abstract:Today, the demand for medical decision support to improve the quality of patient care and to reduce costs in health services is generally recognized. Nevertheless, decision support is not yet established in daily routine within hospital information systems which often show a heterogeneous architecture but offer possibilities of interoperability. Currently, the integration of decision support functions into clinical workstations is the most promising way. Therefore, we first discuss aspects of integrating decision support into clinical workstations including clinical needs, integration of database and knowledge base, knowledge sharing and reuse and the role of standardized terminology. In addition, we draw up functional requirements to support the physician dealing with patient care, medical research and administrative tasks. As a consequence, we propose a general architecture of an integrated knowledge-based clinical workstation. Based on an example application we discuss our experiences concerning clinical applicability and relevance. We show that, although our approach promotes the integration of decision support into hospital information systems, the success of decision support depends above all on an adequate transformation of clinical needs.

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