scholarly journals Health information systems in Jordan and Palestine: the need for health informatics training

2020 ◽  
Vol 26 (11) ◽  
pp. 1323-1330
Author(s):  
Hussein Jabareen ◽  
Yousef Khader ◽  
Adel Taweel
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
Health Information Systems ◽  
Informatics Training

scholarly journals Health Information Systems Training for a Countrywide Implementation in Uruguay

2009 ◽  
Vol 18 (01) ◽  
pp. 153-157
Author(s):  
A. Vero ◽  
L. Bessonart ◽  
A. Barbiel ◽  
M. Ferla ◽  
A. Margolis
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
Health Information Systems ◽  
Tertiary Referral ◽  
Tertiary Referral Center ◽  
Active Involvement ◽  
Systems Implementation ◽  
Informatics Training ◽  
Clinical Systems

Summary Objectives Health Information systems training is one of the bottlenecks in clinical systems implementation. In this article, a strategy to massively create and train interdisciplinary coordinating teams is described for a project in Uruguay at FEMI, a non-academic setting which includes 23 health care institutions across the country and a tertiary referral center in Montevideo. Methods A series of educational activities were designed for the local coordinating teams. They included both onsite and online formats, site visits, integrated with some of the project tasks. Results In total, 128 professionals from all the Institutions participated in one or more of the training sessions (onsite and online) and 87 of them accomplished one of the forms of training. Conclusions Massive basic health informatics training was possible in Uruguay through collaboration with academic institutions at the country and regional level. Next steps include an active involvement of nurses in the educational events and planning of massive training of end users.

HealthGrids in Health Informatics

2011 ◽  
pp. 913-932
Author(s):  
Aisha Naseer ◽  
Lampros K. Stergioulas
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
Health Information Systems ◽  
Emerging Technology ◽  
Future Research ◽  
Hierarchical Order ◽  
Different Types ◽  
Ubiquitous Access

Healthcare is a vast domain encapsulating not only multiple sub-domains or sub-sectors but also many diverse operations and logistics within each sub-sector. This diversity needs to be handled in a systematic and well-characterized manner in order to maintain consistency of various healthcare tasks. Integration of health information systems within each healthcare sub-sectors is crucial for ubiquitous access and sharing of information. The emerging technology of HealthGrids holds the promise to successfully integrate health information systems and various healthcare entities onto a common, globally shared and easily accessible platform. Many different types of HealthGrids exist but there lacks a taxonomy to classify them into a hierarchical order. This chapter presents a well-characterized taxonomy of different types of HealthGrid and classifies them into four major types, namely BioGrid, MediGrid, PharmaGrid and CareGrid. Each of these HealthGrids possesses dedicated features and functionalities. The proposed taxonomy serves to better understand the realtionship among various HealthGrid types and would lay a basis for future research.

HealthGrids in Health Informatics

2010 ◽  
pp. 124-143 ◽  
Author(s):  
Aisha Naseer ◽  
Lampros K. Stergioulas
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
Health Information Systems ◽  
Emerging Technology ◽  
Future Research ◽  
Hierarchical Order ◽  
Different Types ◽  
Ubiquitous Access

Healthcare is a vast domain encapsulating not only multiple sub-domains or sub-sectors but also many diverse operations and logistics within each sub-sector. This diversity needs to be handled in a systematic and well-characterized manner in order to maintain consistency of various healthcare tasks. Integration of health information systems within each healthcare sub-sectors is crucial for ubiquitous access and sharing of information. The emerging technology of HealthGrids holds the promise to successfully integrate health information systems and various healthcare entities onto a common, globally shared and easily accessible platform. Many different types of HealthGrids exist but there lacks a taxonomy to classify them into a hierarchical order. This chapter presents a well-characterized taxonomy of different types of HealthGrid and classifies them into four major types, namely BioGrid, MediGrid, PharmaGrid and CareGrid. Each of these HealthGrids possesses dedicated features and functionalities. The proposed taxonomy serves to better understand the realtionship among various HealthGrid types and would lay a basis for future research.

scholarly journals Toward Reducing Health Information Inequities in the Caribbean: Our Experience Building a Participatory Health Informatics Project

2020 ◽  
Vol 30 (Suppl 1) ◽  
pp. 193-202
Author(s):  
Karen Wang ◽  
Ian Hambleton ◽  
Erika Linnander ◽  
Luis Marenco ◽  
Saria Hassan ◽  
...  
Keyword(s):  
Health Disparities ◽  
Information Systems ◽  
Precision Medicine ◽  
Health Information ◽  
Health Informatics ◽  
Health Information Systems ◽  
Caribbean Diaspora ◽  
The Caribbean ◽  
Basic Infrastructure ◽  
Existing Data

Precision medicine seeks to leverage technology to improve the health for all individuals. Successful health information systems rely fundamentally on the integra­tion and sharing of data from a range of disparate sources. In many settings, basic infrastructure inequities exist that limit the usefulness of health information systems. We discuss the work of the Yale Transdis­ciplinary Collaborative Center for Health Disparities focused on Precision Medicine, which aims to improve the health of people in the Caribbean and Caribbean diaspora by leveraging precision medicine approaches. We describe a participatory informatics ap­proach to sharing data as a potential mecha­nism to reducing inequities in the existing data infrastructure.Ethn Dis. 2020;30(Suppl 1):193-202; doi:10.18865/ed.30.S1.193

Strengthening Healthcare Systems and Health Information Systems

2017 ◽  
Author(s):  
Sundeep Sahay ◽  
T Sundararaman ◽  
Jørn Braa
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
Health Sector ◽  
Systems Design ◽  
Health Information Systems ◽  
Health Systems Strengthening ◽  
Health Coverage ◽  
Public Health Informatics ◽  
Reform Processes

Establishment of health information systems has been a central objective of health sector reform in nearly all LMICs over the last two to three decades. Historically, reform processes have taken introduction of health information systems as inhertently strengthening health sector performance. But today it is more appropriate to talk of health sector strengthening as co-evolving with health information systems strengthening, each reinforcing the performance and reform agendas of the other. The need to build synergies is heightened as there are a multitude of global and national health reform processes underway, like those assoicated with the sustainable development goals or with universal health coverage and each of these have expanded informational needs, requiring robust, flexible, and evolving health information systems. An understanding of the challenges faced by efforts at health systems strengthening helps provide meaningful inputs into health information systems design and vice versa. Such an understanding will enrich public health informatics as an academic discipline, as an area of practice, and as a policy domain.

scholarly journals Towards an Integrative Cognitive-Socio-Technical Approach in Health Informatics: Analyzing Technology-Induced Error Involving Health Information Systems to Improve Patient Safety

2010 ◽  
Vol 4 (1) ◽  
pp. 181-187 ◽  
Author(s):  
E.M Borycki ◽  
A.W Kushniruk
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
System Development ◽  
Improve Patient Safety ◽  
Health Information System ◽  
Health Information Systems ◽  
Technical Aspects ◽  
Information System Design ◽  
The Impact

The purpose of this paper is to argue for an integration of cognitive and socio-technical approaches to assessing the impact of health information systems. Historically, health informatics research has examined the cognitive and socio-technical aspects of health information systems separately. In this paper we argue that evaluations of health information systems should consider aspects related to cognition as well as socio-technical aspects including impact on workflow (i.e. an integrated view). Using examples from the study of technology-induced error in healthcare, we argue for the use of simulations to evaluate the cognitive-socio-technical impacts of health information technology [36]. Implications of clinical simulations and analysis of cognitive-social-technical impacts are discussed within the context of the system development life cycle to improve health information system design, implementation and evaluation.

Achieving Effective Health Information Systems

2009 ◽  
pp. 560-583
Author(s):  
Jim Warren ◽  
Karen Day ◽  
Martin Orr
Keyword(s):  
Information Systems ◽  
Health Information ◽  
Health Informatics ◽  
Clinical Decision Support Systems ◽  
Health Information Systems ◽  
Clinical Decision ◽  
Commodity Culture ◽  
Domain Specific ◽  
Quantitative And Qualitative Research ◽  
Hierarchy Of Evidence

In this chapter we aim to promote an understanding of the complexity of healthcare as a setting for information systems and how this complexity influences the achievement of successful implementations. We define health informatics and examine its role as an enabler in the delivery of healthcare. Then we look at the knowledge commodity culture of healthcare, with the gold standard of systematic reviews and its hierarchy of evidence. We examine the different forms of quantitative and qualitative research that are most commonly found in healthcare and how they influence the requirements for health information systems. We also examine some domain-specific issues that must be considered by health information systems developers, including those around clinical decision support systems and clinical classification and coding systems. We conclude with a discussion of the challenges that must be balanced by the health systems implementer in delivering robust systems that support evidence-based healthcare processes.

The Health Informatics Professional

2012 ◽  
pp. 120-141 ◽  
Author(s):  
Keith Lui
Keyword(s):  
Information Technology ◽  
Information Systems ◽  
Health Service ◽  
Computer Science ◽  
Health Information ◽  
Health Informatics ◽  
Health Information Systems ◽  
Health Service Delivery ◽  
Scientific Field ◽  
Domain Experts

Health informatics (HI) is an increasingly important discipline to healthcare. HI is the scientific field concerned with improving how information in healthcare is captured, used, and managed. Developments in HI have streamlined and improved the efficacy of health service delivery, ranging from administration to bedside care to telehealth. Anecdotally, one observes that the paradigm of health domain experts working with information technology (IT) domain experts still produces health information systems that fail or do not work adequately; thus, there is a need for individuals knowledgeable in both information methods/tools and health. HI is a very broad discipline, but demonstrates features of a profession that set it apart from conventional IT or computer science; one notes different aspects of knowledge and skill and an ethos that is more aligned with that of health. This chapter provides an overview of HI, introducing the concepts of HI, its history, and how it relates to the skills, knowledge and attitudes of the emerging HI professional. HI is changing how healthcare is delivered and HI professionals are a part of that process. There are a range of roles these individuals fill, with some overlap with more established positions, such as health information managers. Despite the emergence of the HI profession, there are hurdles to overcome in terms of consistent education and registration or accreditation/credentialing.

scholarly journals Representation of People’s Decisions in Health Information Systems

2017 ◽  
Vol 56 (S 01) ◽  
pp. e13-e19 ◽  
Author(s):  
Fernan Gonzalez Bernaldo de Quiros ◽  
Adriana Dawidowski ◽  
Silvana Figar
Keyword(s):  
Information Systems ◽  
Health Services ◽  
Health System ◽  
Health Information ◽  
Health Informatics ◽  
Social Impact ◽  
Disease Onset ◽  
Health Information Systems ◽  
Cultural Changes ◽  
Causal Explanations

SummaryObjectives: In this study, we aimed: 1) to conceptualize the theoretical challenges facing health information systems (HIS) to represent patients’ decisions about health and medical treatments in everyday life; 2) to suggest approaches for modeling these processes.Methods: The conceptualization of the theoretical and methodological challenges was discussed in 2015 during a series of interdisciplinary meetings attended by health informatics staff, epidemiologists and health professionals working in quality management and primary and secondary prevention of chronic diseases of the Hospital Italiano de Buenos Aires, together with sociologists, anthropologists and e-health stakeholders.Results: HIS are facing the need and challenge to represent social human processes based on constructive and complexity theories, which are the current frameworks of human sciences for understanding human learning and socio-cultural changes. Computer systems based on these theories can model processes of social construction of concrete and subjective entities and the interrelationships between them. These theories could be implemented, among other ways, through the mapping of health assets, analysis of social impact through community trials and modeling of complexity with system simulation tools.Conclusions: This analysis suggested the need to complement the traditional linear causal explanations of disease onset (and treatments) that are the bases for models of analysis of HIS with constructive and complexity frameworks. Both may enlighten the complex interrelationships among patients, health services and the health system. The aim of this strategy is to clarify people’s decision making processes to improve the efficiency, quality and equity of the health services and the health system.

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