scholarly journals Implementation of large-scale health information systems

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ricardo Luz ◽  
Clarissa Carneiro Mussi ◽  
Ademar Dutra ◽  
Leonardo Correa Chaves
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Large Scale ◽  
Care Delivery ◽  
Health Information Systems ◽  
Developed Countries ◽  
Systematic Analysis ◽  
Content Type ◽  
Expected Benefits ◽  
The Government

PurposeThe study aims to analyze the previous literature on government initiatives to implement health information systems (HISs).Design/methodology/approachProknow-C (Knowledge Development Process-Constructivist) was used in the selection of the literature and in the bibliometric and systematic analysis.FindingsThe research identified a portfolio composed of 33 articles aligned with the research theme and with scientific recognition, as well as periodicals, authors, papers and keywords that stood out the most. Amongst the government initiatives in the 24 identified countries, England has been the most studied nation, and there is a certain prominence of research arising from developed countries. Electronic health records (EHRs) have been the most explored technology. Efficiency and safety of health care delivery, integration of information and among health organizations, cost reduction and economicity are the most expected benefits from government programs. The difficulties found are related to the broader context in which the system is inserted, to the management of the program, to technology itself and to individuals. The most emphasized difficulties identified in most countries were previous context marked by a lack of standardization/interoperability, acceptance of providers and users and project financing. The findings of the present article provide a theoretical framework for future studies, in addition to yielding a replicable process for future use.Originality/valueThis research may be considered original as it analyzes – through a constructivism-structured process (Proknow-C) – the phenomenon under investigation by gathering bibliometric and systematic review data concomitantly. The countries and technologies reported emerge from the process itself.

Health information systems in Namibia

2018 ◽  
Vol 119 (7/8) ◽  
pp. 358-376
Author(s):  
Cathrine Tambudzai Nengomasha ◽  
Ruth Abankwah ◽  
Wilhelm Uutoni ◽  
Lilian Pazvakawambwa
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Mixed Methods Research ◽  
Health Sector ◽  
Health Information Systems ◽  
Quality Of Healthcare ◽  
Research Approach ◽  
Content Type ◽  
Patient Health ◽  
Data Survey

Purpose This paper aims to report some findings of a study that investigated health information systems (HISs) in Namibia with a view of establishing the nature of these systems and coming up with recommendations on how these could be enhanced. Design/methodology/approach This study applied a mixed methods research approach, using interviews and survey questionnaire to collect data. Survey data were analysed for descriptive statistics using SPSS and data from interviews were analysed applying content analysis for data analysis. Findings The findings of this study indicate fragmented HISs resulting in duplication of diagnosis, tests and treatment. The findings show that there were errors in capturing data into the systems, which could compromise the reliability of the data and compromise service delivery. Research limitations/implications This study was limited to two (Khomas and Oshana) of the fourteen regions in Namibia; therefore, further studies could look at other regions, as the study findings cannot be generalised to the entire country. Practical implications The findings and recommendations, particularly those relating to the public health sector, could inform policies and procedures, especially those relating to the patient health passport (card), and the way health information is shared within and across health sectors. Originality/value This study focused on health information sharing, whereas a previous study on HISs concentrated on quality of healthcare.

COVID-19 image transmission using convolutional neural networks based algorithms for medical applications

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Gangadhar Ch ◽  
Nama Ajay Nagendra ◽  
Syed Mutahar Aaqib ◽  
C.M. Sulaikha ◽  
Shaheena Kv ◽  
...  
Keyword(s):  
Neural Networks ◽  
Information Systems ◽  
Ct Scan ◽  
Health Information ◽  
Convolutional Neural Networks ◽  
Health Information Systems ◽  
Ct Images ◽  
Chest Ct ◽  
Content Type ◽  
Chest Ct Scan

Purpose COVID-19 would have a far-reaching impact on the international health-care industry and the patients. For COVID-19, there is a need for unique screening tests to reliably and rapidly determine who is infected. Medical COVID images protection is critical when data pertaining to computer images are being transmitted through public networks in health information systems. Design/methodology/approach Medical images such as computed tomography (CT) play key role in the diagnosis of COVID-19 patients. Neural networks-based methods are designed to detect COVID patients using chest CT scan images. And CT images are transmitted securely in health information systems. Findings The authors hereby examine neural networks-based COVID diagnosis methods using chest CT scan images and secure transmission of CT images for health information systems. For screening patients infected with COVID-19, a new approach using convolutional neural networks is proposed, and its output is simulated. Originality/value The required patient’s chest CT scan images have been taken from online databases such as GitHub. The experiments show that neural networks-based methods are effective in the diagnosis of COVID-19 patients using chest CT scan images.

Waste in health information systems: a systematic review

2017 ◽  
Vol 30 (4) ◽  
pp. 341-357 ◽  
Author(s):  
Nadia Awang Kalong ◽  
Maryati Yusof
Keyword(s):  
Systematic Review ◽  
Information Systems ◽  
Health Information ◽  
Positive Impact ◽  
Health Information Systems ◽  
Tool Selection ◽  
Content Type ◽  
Root Cause ◽  
Lean Transformation ◽  
Lean Tools

Purpose The purpose of this paper is to discuss a systematic review on waste identification related to health information systems (HIS) in Lean transformation. Design/methodology/approach A systematic review was conducted on 19 studies to evaluate Lean transformation and tools used to remove waste related to HIS in clinical settings. Findings Ten waste categories were identified, along with their relationships and applications of Lean tool types related to HIS. Different Lean tools were used at the early and final stages of Lean transformation; the tool selection depended on the waste characteristic. Nine studies reported a positive impact from Lean transformation in improving daily work processes. The selection of Lean tools should be made based on the timing, purpose and characteristics of waste to be removed. Research limitations/implications Overview of waste and its category within HIS and its analysis from socio-technical perspectives enabled the identification of its root cause in a holistic and rigorous manner. Practical implications Understanding waste types, their root cause and review of Lean tools could subsequently lead to the identification of mitigation approach to prevent future error occurrence. Originality/value Specific waste models for HIS settings are yet to be developed. Hence, the identification of the waste categories could guide future implementation of Lean transformations in HIS settings.

Transforming South Africa’s health sector

2016 ◽  
Vol 7 (3) ◽  
pp. 330-345 ◽  
Author(s):  
Shadrack Katuu
Keyword(s):  
South Africa ◽  
Information Systems ◽  
Health Information ◽  
Health Sector ◽  
Health Information Systems ◽  
Content Management ◽  
International Standards ◽  
Complex Nature ◽  
Maturity Model ◽  
Content Type

Purpose The purpose of this paper is to explore the challenges of transforming South Africa’s health sector through the country’s eHealth Strategy and particularly one of its key components, the implementation of an integrated Electronic Document and Records Management System (EDRMS). Design/methodology/approach The study conducted an extensive review of literature and used it as a basis to analyse the challenges as well as opportunities in South Africa’s transformation path within its health sector based on the nation’s eHealth Strategy. Findings South Africa’s health sector faces three main transformation challenges: inequity, legacy of fragmentation and a service delivery structure biased towards curative rather than preventive services. Health information systems provide a solid platform for improving efficiency but, within South Africa, these systems have been highly heterogeneous. A recent study showed the country had more than 40 individual health information systems scattered in all provinces, with over 50 per cent not adhering to any national or international standards and more than 25 per cent being stand-alone applications that shared information neither locally nor externally. The eHealth Strategy offers a robust platform to start addressing the legacy of fragmentation and lack of interoperability. However, it also raises a few other concerns, including the use of different terminology such as Electronic Medical Record (EMR) interchangeable with Electronic Health Record (EHR), or EDRMS parallel with Electronic Content Management (ECM). In addition, there is the opportunity to explore the use of the maturity model concept in the EDRMS implementation experiences within South Africa. Originality/value This paper demonstrated the complex nature of the legacy of fragmentation in South Africa’s health information systems and explored three aspects relating to terminology as well as maturity models that should be considered in the country’s future eHealth Strategy.

Wearable health information systems intermittent discontinuance

2018 ◽  
Vol 118 (3) ◽  
pp. 506-523 ◽  
Author(s):  
Xiao-Liang Shen ◽  
Yang-Jun Li ◽  
Yongqiang Sun
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Information Systems ◽  
Future Research ◽  
Mutual Transformation ◽  
Content Type ◽  
Positive Effects ◽  
Usage Behavior ◽  
Attitudinal Ambivalence ◽  
Expectation Disconfirmation

Purpose Wearable health information systems (IS) open up a new era for personal health self-management, and bring about disruptive changes to individual lives. However, prior studies on IS post-adoptive behavior primarily focused on either continuance or discontinuance, neglecting the mutual transformation process between IS usage and rejection behavior. This behavior is expressed as intermittent discontinuance in the current study. By revising and extending the expectation-disconfirmation model, the purpose of this paper is to understand the factors affecting information system intermittent discontinuance in the context of wearable eHealth. Design/methodology/approach This study proposes a revised expectation-disconfirmation model by incorporating four new theoretical constructs, i.e. neutral disconfirmation, attitudinal ambivalence, neutral satisfaction, and intermittent discontinuance. An online survey was used to validate the research model, and 428 wearable health device users were recruited in this study. Findings Empirical results demonstrate that neutral disconfirmation exerts positive effects on neutral satisfaction and attitudinal ambivalence, both of which further have positive effects on intermittent discontinuance. In addition, attitudinal ambivalence also has a positive and significant effect on neutral satisfaction. Originality/value This study extends the current understanding on IS post-adoption usage behavior by introducing a new concept, i.e., intermittent discontinuance. In particular, post-adoption usage behavior is viewed as a dynamic process within a changing environment in this study. Some unique features specific to intermittent discontinuance are also identified. In this regard, neutral and conflicting constructs further add new values to IS adoption and diffusion literature. In addition, the integration of eHealth and wearable devices provides a fruitful research context for future research, and this study represents one of the first attempts to empirically explore the intermittent usage problems encountered within this emerging phenomenon.

scholarly journals Human Factors in the Large: Experiences from Denmark, Finland and Canada in Moving Towards Regional and National Evaluations of Health Information System Usability

2014 ◽  
Vol 23 (01) ◽  
pp. 67-81 ◽  
Author(s):  
J. Kaipio ◽  
M. Nieminen ◽  
H. Hyppönen ◽  
T. Lääveri ◽  
C. Nohr ◽  
...  
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Professionals ◽  
Large Scale ◽  
National Level ◽  
Health Information System ◽  
Health Information Systems ◽  
Small Scale ◽  
System Usability ◽  
Questionnaire Studies

Summary Objectives: The objective of this paper is to explore approaches to understanding the usability of health information systems at regional and national levels. Methods: Several different methods are discussed in case studies from Denmark, Finland and Canada. They range from small scale qualitative studies involving usability testing of systems to larger scale national level questionnaire studies aimed at assessing the use and usability of health information systems by entire groups of health professionals. Results: It was found that regional and national usability studies can complement smaller scale usability studies, and that they are needed in order to understand larger trends regarding system usability. Despite adoption of EHRs, many health professionals rate the usability of the systems as low. A range of usability issues have been noted when data is collected on a large scale through use of widely distributed questionnaires and websites designed to monitor user perceptions of usability. Conclusion: As health information systems are deployed on a widespread basis, studies that examine systems used regionally or nationally are required. In addition, collection of large scale data on the usability of specific IT products is needed in order to complement smaller scale studies of specific systems.

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