Adopting an Open Source Hospital Information System to Manage Healthcare Institutions

Bouidi, Youssef; Idrissi, Mostafa Azzouzi; Rais, Noureddine

doi:10.20319/lijhls.2017.33.3857

Cited by 3 publications

(3 citation statements)

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“…The study presented in this paper argues that the process of managing medical information through prescribing CDSS leads to improved safety amongst health care receivers due to minimisation of the number of medical errors that occur (Bouidi, Idrissi & Rais, 2017;Eiermann et al, 2010). Nonetheless, this study argues that a successful implementation of CDSS must ensure physician acceptance of the system, training, and interoperability (Al-Badarneh, Najadat & Yabes, 2017;Nee et al, 2008).…”

Section: Introductionmentioning

confidence: 95%

Analysis and Review of Prescribing Clinical Decision Support System Within the Context of NHS Secondary Sector

Al-Garni¹

2018

lijhls

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Clinical Decision Support System (CDSS) is an important and emerging area of research.Therefore, the study of CDSS form an important field of information technology (IT) used in health care industry. Diagnosis and decision making form an integral part of CDSS. Based on the healthcare data and patient's medical history, CDSS performs recommendation, which helps healthcare professionals to diagnose properly and make clinical decisions accordingly. In this paper, we present analysis and review of prescribing CDSS within the context of the secondary sector of the United Kingdom (UK) National Health Service (NHS). It was observed that prescribing CDSS enhances the safety of patients by reducing medication errors that occur during traditional prescribing (non-electronic prescribing). The reduction of medical errors is due to the efficiency of prescribing CDSS in facilitating health careproviders with a holistic view of patient health records and any drug allergy or drug-drug interactions. This study showed that successful adoption of CDSS within the NHS secondary sector faces challenges such as physician acceptance, training, and interoperability.

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Section: Introductionmentioning

confidence: 95%

Analysis and Review of Prescribing Clinical Decision Support System Within the Context of NHS Secondary Sector

Al-Garni¹

2018

lijhls

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“…Fragmentation occurs when there is heterogeneity among the systems which means that e-medical recording systems have different characteristics and behaviours but they all perform similar functions.An electronic medical record system (or electronic health record system) is an electronic record of health-related information on an individual that can be created, gathered, managed, and consulted by authorized clinicians and staff within one health care organization, have the potential to provide substantial benefits to physicians, clinical practices, and health care organizations [4]. These systems can facilitate workflow and improve the quality of patient care and patient safety [4,5].…”

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confidence: 99%

Development of medical records exchange system - a case of OpenMRS and Care2X

Rweikiza¹,

Machuve²

2019

IJATEE

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Information and communication technologies (ICTs)have a significant role in transforming the lives of Tanzanians and individuals across the world in different aspects of education, health, and governance. It is acknowledged that ICT has the potential to transform the support and delivery of healthcare services in both developed and developing countries.Electronic health (e-health) refers to the use of ICT for cost-effective and secure delivery of health care services [1]. The range of services includes electronic health records, telehealth, mobile health services (mHealth), and decision support systems for health [2]. The health care delivery services are challenged with systemic misalignment of incentives, health records, lack of coordination, that spawns' inefficient allocation of resources or harm to patients collectively termed fragmentation [3]. *Author for correspondence Electronic medical records are generally fragmented across multiple treatment sites which means patients' e-medical records are distributed in different health care services which have different types of e-medical recording systems.This has brought challenges in sharing information between e-medical recording systems. Fragmentation occurs when there is heterogeneity among the systems which means that e-medical recording systems have different characteristics and behaviours but they all perform similar functions.An electronic medical record system (or electronic health record system) is an electronic record of health-related information on an individual that can be created, gathered, managed, and consulted by authorized clinicians and staff within one health care organization, have the potential to provide substantial benefits to physicians, clinical practices, and health care organizations [4]. These systems can facilitate workflow and improve the quality of patient care and patient safety [4,5].

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“…An electronic medical recording system (or electronic health recording system) is an electronic record of health-related information on an individual that can be created, gathered, managed, and consulted by authorized clinicians and staff within one health care organization, have the potential to provide substantial benefits to physicians, clinic practices, and health care organizations (Kalogriopoulos et al, 2009). These systems can facilitate workflow and improve the quality of patient care and patient safety (Bouidi et al, 2017). However, structural barrier on the data model is one of the factors contributing to challenges in sharing of information across e-medical recording systems (Omary et al, 2010).…”

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confidence: 99%

Reducing fragmentation in sharing of information in e-medical recording systems: case of open Mrs and care2x

Rweikiza¹

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Integration of the Electronic Medical Records (EMR) with clinical research systems has the potential to greatly enhance the efficiency, speed, and safety of medical research. New hypotheses could be generated through mining of EMR data, observational studies may be conducted more rapidly, and clinical trial recruitment and conduct could be greatly facilitated. Such enhancements will be accomplished through secondary use of EMR data for research and the development of automated decision support systems that rely on EMR data. In this study we defined the various types of EMR and clinical research data systems in use and described the goals and rationale for integrating these two types of systems to enhance research as well as quality of care. The various approaches and benefits to integrating EMR and clinical research systems are discussed and data integration was prototyped on Open MRS and Care2X health information systems. Medical Records Exchange System (MRES) prototype was developed for exchange of information on Open MRS and Care2x hospital information systems. While major benefits are conferred by such system integration, many challenges exist as well, such as the need for stringent data quality assurance, appropriate granularity, metadata and person index management, and extremely careful handling of data access and security issues. Furthermore, the movement toward the EMR within Tanzania has been slow to date, hampering these data integration efforts. However, recent legislation to incentivize the adoption of EMRs will make the feasibility and utility of EMR data integration to support clinical research more promising in the near future.

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Adopting an Open Source Hospital Information System to Manage Healthcare Institutions

Abstract: Our paper is a comparative study of different Open Source Hospital Information Systems (OSHISs (respectively OpenEMR, OpenMRS, OpenHospital,

Cited by 3 publications

References 4 publications

Analysis and Review of Prescribing Clinical Decision Support System Within the Context of NHS Secondary Sector

Analysis and Review of Prescribing Clinical Decision Support System Within the Context of NHS Secondary Sector

Development of medical records exchange system - a case of OpenMRS and Care2X

Reducing fragmentation in sharing of information in e-medical recording systems: case of open Mrs and care2x

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