Alignment of Information Systems to Strategy in the Health Sector Using a Systems Dynamics Approach

2014 ◽  
Author(s):  
Mary Celestine Adie Odiit ◽  
Geoffrey Kituyi Mayoka ◽  
Agnes Semwanga Rwashana ◽  
Nixon Muganda Ochara
Keyword(s):  
Information Systems ◽  
Health Sector ◽  
Systems Dynamics

Effectivness of Health Information System Applications: Clinical Information and Diagnosis-Treatment Systems in Turkey

2017 ◽  
Vol 5 (1) ◽  
pp. 122
Author(s):  
Assist. Prof. Dr. Demokaan DEMİREL
Keyword(s):  
Decision Making ◽  
Information System ◽  
Information Systems ◽  
Management Information System ◽  
Health Sector ◽  
Health Information System ◽  
Clinical Information ◽  
Clinical Decision ◽  
Clinical Information Systems ◽  
Management Information

The distinctive quality of the new social structure is that information becomes the only factor of production. In today's organizations, public administrators are directly responsible for applying information to administrative processes. In addition to his managerial responsibilities, a knowledge based organization requires every employee to take responsibility for achieving efficiency. This has increased the importance of information systems in the decision-making process. Information systems consist of computer and communication technology, data base management and model management and include activity processing system, management information system, decision support systems, senior management information system, expert systems and office automation systems. Information systems in the health sector aim at the management and provision of preventive and curative health services. The use of information systems in healthcare has the benefits of increasing service quality, shortening treatment processes, maximizing efficiency of the time, labour and medical devices. The use of information systems for clinical decision making and reducing medical errors in the healthcare industry dates back to the 1960s. Clinical information systems involve processing, storing and re-accessing information that supports patient care in a hospital. Clinical information systems are systems that are directly or indirectly related to patient care. These systems include electronic health/patient records, clinical decision support systems, nurse information systems, patient tracking systems, tele-medicine, case mix and smart card applications. Diagnosis-treatment systems are information-based systems used in the diagnosis and treatment of diseases. It consists of laboratory information systems, picture archiving and communication system, pharmacy information system, radiology information system, nuclear medicine information system. This study aims to evaluate the effectiveness of health information system applications in Turkey. The first part of the study focuses on the concept of information systems and the types of information systems in organization structures. In the second part, clinical information systems and applications for diagnosis-treatment systems in Turkey are examined. Finally, the study evaluates applications in the health sector qualitatively from the new organizational structure, which is formed by information systems.

scholarly journals Mobile Medical Applications and Cloud Federation Challenges

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Patias ◽  
V Georgiev
Keyword(s):  
Information Systems ◽  
Health Sector ◽  
Added Value ◽  
Data Interoperability ◽  
Layered Architecture ◽  
Data Formats ◽  
Cloud Federation ◽  
Secure Environment ◽  
Internal Operations ◽  
Cloud Users

Abstract Issue Given the importance, of cloud environments for mobile telemedicine information systems, focus is given in this paper on the challenges rising. We discuss the pros of the access to computing services and resources on demand without having own infrastructures, and the need of advanced interoperability data formats and application program interfaces (APIs) to facilitate the usage of the infrastructure. Description of the problem Cloud-Oriented Architecture (COA) describes the architecture, where applications act as services and serve other applications in the cloud environment. The aim is IT infrastructure and software applications to be optimized for their use in cloud computing environments. But what happens in the specific field of health as data interoperability for mobile telemedicine information systems? Results Two architectures were presented using a patient's compliance and engagement solution. A simple Representational State Transfer (REST) based architectural style was implemented in a three-layered architecture first and then compared to a cloud federation model. In the second the interaction goes through the federation via a middleware layer. Internal operations of cloud providers in the federation are still transparent to the cloud users. The middleware layer aims to coordinate the interaction with cloud users and providers in the federation. But, to avoid delays in those interactions interoperability of data formats and APIs. Lessons A Fast Healthcare Interoperability Resources (FHIR) based application was developed. Mobile telemedicine information systems are a strong instrument in patients' compliance. Many systems have proved that the used resources combined can solve clinical and administrative problems in a secure environment. Key messages The use of cloud is wide spread in the health sector. The challenge is to combine this infrastructure into one federated platform and maximize the added value by using advanced interoperability data formats and APIs.

scholarly journals iFRAMES DESIGN IN HEALTH SECTOR BLUD: ASSET AND INVENTORY SYSTEM

2019 ◽  
Vol 4 (01) ◽  
pp. 19
Author(s):  
Satrio Wicaksono Prakoso ◽  
Machmudin Eka Prasetya
Keyword(s):  
Information System ◽  
Information Systems ◽  
Financial Reporting ◽  
Internal Control ◽  
Asset Management ◽  
Health Sector ◽  
Primary Data ◽  
Service Agency ◽  
Information Need ◽  
Study Approach

<p class="Default"><em>This research aims to design an information system to record assets and inventories at DKI Jakarta Regional Public Service Agency (BLUD). This study is based on the findings from Examination Report (LHP) issued by the Indonesian Supreme Audit Institution (BPK RI) which states that there are quite a few problems about assets at BLUD (BPK RI, 2017). This research is expected to answer research questions about how to design the system of assets and inventories needed by BLUD to assist the process of internal control and asset management. This study uses the Framework for the Application of Systems Thinking (FAST) as a method for systems development popularized by Whitten and Bentley (2007). This study uses a case study approach with the triangulation method, where the qualitative data as primary data by conducting interviews and observations. Unit of analysis in this study is the BLUD responsible for asset management. Currently, the existing asset information systems only record fixed assets and not connected to the financial reporting system. Assets and inventories information need to move manually by re-inputting the value to prepare financial statements. The result of this research is a design of asset information system to enhance internal control.</em><em></em></p><p class="Default"><strong><em>Keywords:</em></strong><em> </em><em>Assets, Information Systems, Internal Control Systems</em><em></em></p>

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.

An Evidence-Based Health Information System Theory

2011 ◽  
pp. 1994-2011
Author(s):  
Daniel Carbone
Keyword(s):  
Information Systems ◽  
Systems Theory ◽  
Health Information ◽  
Health Sector ◽  
Health Information System ◽  
Building Blocks ◽  
Evidence Based ◽  
Supporting Evidence ◽  
The Common ◽  
Is Theory

The aim of this chapter is to bridge the gap between what is known about IS theory and the specifics characteristics of health to develop an evidence based health information systems theory. An initial background first sets the significance for the need to have a solid information systems theory in health and then argues that neither the information systems literature nor the health sector have been able to provide any satisfactory pathway to facilitate the adoption of information systems in health settings. The chapter further continues by reviewing the common pathway to develop information systems theory and the knowledge foundations used in the process, and then proceeds to highlight how this theory was developed. Subsequently, the building blocks (constructs, premises, supporting evidence and conclusions) that underpins the constructs and a brief explanation of the relationships between them is included. A discussion and limitation section is then followed by a conclusion.

Experiences from Health Information Systems Implementation Projects Reported in Canada Between 1991 and 1997

2011 ◽  
pp. 96-112
Author(s):  
Francis Lau ◽  
Marilynne Hebert
Keyword(s):  
Information Systems ◽  
Health Informatics ◽  
Information Quality ◽  
Health Sector ◽  
User Involvement ◽  
Policy Makers ◽  
Systems Implementation ◽  
Information Systems Professionals ◽  
Information Systems Implementation ◽  
Resource Support

Canada’s Health Informatics Association has been hosting annual conferences since the 1970’s as a way of bringing information systems professionals, health practitioners, policy makers, researchers and industry together to share their ideas and experiences in the use of information systems in the health sector. This paper describes our findings on the outcome of information systems implementation projects reported at these conferences in the 1990s. Fifty implementation projects published in the conference proceedings were reviewed and the authors or designates of 24 of these projects were interviewed. The overall experiences, which are consistent with existing implementation literature, suggest the need for organizational commitment; resource support and training; managing project, change process and communication; organizational/user involvement and teams approach; system capability; information quality; and demonstrable positive consequences from computerization.

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.

Predicting Flexibility and Success in Information Systems Planning: A System Dynamics Approach

2002 ◽  
Vol 01 (02) ◽  
pp. 165-186 ◽  
Author(s):  
Ramaraj Palanisamy ◽  
Sushil
Keyword(s):  
Information Systems ◽  
User Involvement ◽  
Survey Method ◽  
Systems Dynamics ◽  
Information Systems Success ◽  
Is Success ◽  
Systems Planning ◽  
Survey Results ◽  
High Level ◽  
Information Systems Planning

Organizations intend to achieve a high level of information systems flexibility and success. They plan information systems with multiple approaches and adopt different planning methodologies. A broad range of measurements is available in the literature to assess IS planning effectiveness and success. This study theoretically develops a causal model to assess and predict IS planning success, empirically validate the model, and simulate the empirically tested model to predict the "ends" and "means" of the IS planning. The Systems Dynamics approach is used to model and simulate the "ends" and "means" variables. The model represents the user involvement in IS planning and flexibility variables ("means") and IS success variables ("ends") in a framework. The questionnaire survey method is used to validate the model, and the survey was administered to 296 respondents from 42 organizations selected from eight different sectors. The survey results validate the existence of relationship between user involvement, flexibility, and IS success. The empirically validated model is used to predict flexibility and information systems success in the surveyed organizations.

scholarly journals The Use of Information Systems (GIS) to Monitor the Quality of Life of Older People in Greece

2019 ◽  
Vol 12 (6) ◽  
pp. 29
Author(s):  
Dermatis Zacharias ◽  
Anastasiou Athanasios ◽  
Liargovas Panagiotis
Keyword(s):  
Quality Of Life ◽  
Information Systems ◽  
Health Sector ◽  
The Elderly ◽  
Economic Indicators ◽  
Health Level ◽  
Full Picture ◽  
Proportional Relationship ◽  
Financial Characteristics

The aim of the study is to present the usefulness of Geographic Information Systems (GIS) to explore the socio-economic indicators that affect the health level of the elderly. The study uses a specially designed questionnaire to capture data on socio-economic indicators of the elderly in Grece. The results of the survey are plotted in the corresponding geographical locations on the maps, using GIS in a way that provides the person concerned a full picture of the geographical distribution of socio-economic indicators that affect the health level of the elderly. The study finds that there is an obvious proportional relationship between Sense of Quality of Life with healthier characteristics, a less proportional relationship with financial characteristics and even a less proportional relationship with the age and the education level of the respondents. The study has implications for health sector professionals and policy makers in Greece.

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