Clinical information systems planning in Belgrade health care region

1988 ◽  
Vol 14 ◽  
pp. 27-29
Author(s):  
V Brusić ◽  
Z Boz̈ović ◽  
Z Stojiljković ◽  
D Djaković ◽  
M Trajković
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Systems Planning ◽  
Information Systems Planning ◽  
Health Care Region

Clinical Information Systems Planning in Belgrade Health Care Region

1988 ◽  
Vol 21 (14) ◽  
pp. 27-29
Author(s):  
V. Brusić ◽  
Z. Boz̈ović ◽  
Z. Stojiljković ◽  
D. Djaković ◽  
M. Trajković
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Systems Planning ◽  
Information Systems Planning ◽  
Health Care Region

scholarly journals Rapid Assessment of Clinical Information Systems in the Healthcare Setting

2011 ◽  
Vol 50 (04) ◽  
pp. 299-307 ◽  
Author(s):  
J. S. Ash ◽  
D. F. Sittig ◽  
A. Bunce ◽  
K. Guappone ◽  
R. Dykstra ◽  
...  
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Multidisciplinary Team ◽  
Rapid Assessment ◽  
Clinical Information ◽  
The United States ◽  
Small Towns ◽  
Clinical Informatics ◽  
Assessment Process ◽  
Clinical Information Systems

SummaryObjective: Recent legislation in the United States provides strong incentives for implementation of electronic health records (EHRs). The ensuing transformation in U. S. health care will increase demand for new methods to evaluate clinical informatics interventions. Timeline constraints and a rapidly changing environment will make traditional evaluation techniques burdensome. This paper describes an anthropological approach that provides a fast and flexible way to evaluate clinical information systems.Methods: Adapting mixed-method evaluation approaches from anthropology, we describe a rapid assessment process (RAP) for assessing clinical informatics interventions in health care that we developed and used during seven site visits to diverse community hospitals and primary care settings in the U. S.Setting: Our multidisciplinary team used RAP to evaluate factors that either encouraged people to use clinical decision support (CDS) systems or interfered with use of these systems in settings ranging from large urban hospitals to single-practitioner, private family practices in small towns.Results: Critical elements of the method include: 1) developing a fieldwork guide; 2) carefully selecting observation sites and participants; 3) thoroughly preparing for site visits; 4) partnering with local collaborators; 5) collecting robust data by using multiple researchers and methods; and 6) analyzing and reporting data in a structured manner helpful to the oraganizations being evaluated.Conclusions: RAP, iteratively developed over the course of visits to seven clinical sites across the U.S., has succeeded in allowing a multidisciplinary team of informatics researchers to plan, gather and analyze data, and report results in a maximally efficient manner.

Nursing Classification and Terminology Systems

2003 ◽  
Vol 31 (1) ◽  
pp. 25-42 ◽  
Author(s):  
Evelyn J S Hovenga
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Research And Development ◽  
Nursing Practice ◽  
Statistical Data ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Future Research ◽  
Historical Overview ◽  
The Many

A number of terminologies exist that represent concepts of relevance to nurses, although none of these is in use by Australian nurses. Without consensus, nursing language and definitions incorporated in clinical information systems now being implemented will continue to vary considerably. The result will be an inability to compare nursing practice, or to aggregate data for research purposes, or to collect national statistical data to demonstrate the significance of nurses' contributions to health care. This article provides an international historical overview of nursing terminology developments relative to what is happening in Australia, brief reviews of the many available nursing terminologies, an update of this work relative to activities being undertaken towards the development and adoption of standards, and a discussion about desirable future research and development activities.

scholarly journals Clinical information systems for the management of tuberculosis in primary health care

2017 ◽  
Vol 25 (0) ◽  
Author(s):  
Eliabe Rodrigues de Medeiros ◽  
Sandy Yasmine Bezerra e Silva ◽  
Cáthia Alessandra Varela Ataide ◽  
Erika Simone Galvão Pinto ◽  
Maria de Lourdes Costa da Silva ◽  
...  
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Information Systems ◽  
Standard Deviation ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Tuberculosis Patients ◽  
Primary Health ◽  
Clinical Records ◽  
The City

ABSTRACT Objective: to analyze the clinical information systems used in the management of tuberculosis in Primary Health Care. Method: descriptive, quantitative cross-sectional study with 100 health professionals with data collected through a questionnaire to assess local institutional capacity for the model of attention to chronic conditions, as adapted for tuberculosis care. The analysis was performed through descriptive and inferential statistics. Results: Nurses and the Community Health Agents were classified as having fair capacity with a mean of 6.4 and 6.3, respectively. The city was classified as having fair capacity, with a mean of 6.0 and standard deviation of 1.5. Family Health Units had higher capacity than Basic Health Units and Mixed Units, although not statistically relevant. Clinical records and data on tuberculosis patients, items of the clinical information systems, had a higher classification than the other items, classified as having fair capacity, with a mean of 7.3 and standard deviation of 1.6, and the registry of TB patients had a mean of 6.6 and standard deviation of 2.0. Conclusion: clinical information systems are present in the city, mainly in clinical records and patient data, and they have the contribution of professionals linked with tuberculosis patients.

Implementing clinical information systems: a multiple-case study within a US hospital

2002 ◽  
Vol 15 (2) ◽  
pp. 71-92 ◽  
Author(s):  
Guy Paré
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Tertiary Care ◽  
Implementation Process ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Dynamic Nature ◽  
Systems Implementation ◽  
Information Systems Implementation

The rapid movement of information technologies into health care organizations has raised managerial concern regarding the capability of today's institutions to satisfactorily manage their introduction. Indeed, several health care institutions have consumed huge amounts of money and frustrated countless people in wasted information systems implementation efforts. Unfortunately, there are no easy answers as to why so many health informatics projects are not more successful. The aim of this study is to provide a deeper understanding of clinical information systems implementation. The research reported in this paper focuses on building a theory of the dynamic nature of the implementation process, that is, the how and why of what happened. The general approach taken was inspired by the work of Eisenhardt (1989) on building theories from case study research. We examined the implementation process, use and consequences of three distinct clinical information systems at a large tertiary care teaching hospital. A series of four research propositions reflecting the dynamic nature of the implementation process are offered as each of the three cases are analyzed. Findings add a number of new perspectives and empirical insights to the existing body of knowledge in the fields of IT implementation and medical informatics.

From Nursing Information Systems to Patient Information Systems

1994 ◽  
Vol 33 (03) ◽  
pp. 302-303 ◽  
Author(s):  
P. M. Coward
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Patient Care ◽  
Health Care System ◽  
Patient Information ◽  
Clinical Information ◽  
Systems Development ◽  
Clinical Information Systems ◽  
Patient Centered ◽  
The Future

Abstract:Clinical information systems, developed for specific disciplines, reinforce the fragmentation of patient care and fail to support integrated, patient centered approaches. Fundamental restructuring of systems development is required to prepare the health care system and the practice of nursing for the future.

The Value of Sociotechnical Theories for Implementation of Clinical Information Systems

2012 ◽  
pp. 192-208 ◽  
Author(s):  
Joanne Callen ◽  
Andrew Georgiou ◽  
Julie Li ◽  
Johanna Westbrook
Keyword(s):  
Health Care ◽  
Information Systems ◽  
Technology Acceptance ◽  
Diffusion Of Innovation ◽  
Technology Use ◽  
Clinical Information ◽  
Clinical Information Systems ◽  
Health Care Settings ◽  
Implementation Model ◽  
Framework Approach

The following chapter provides an overview of sociotechnical theories that can be used to understand, design, implement, and evaluate clinical information systems in health care settings. The sociotechnical approach is one that seeks to identify the dynamics between technology and the social, professional, and cultural environment in which it is used. Theories and models covered include: the technology and information technology acceptance models; a multi-level integration framework approach; social cognition theory; theories that propose a fit between individuals, tasks and the technology; diffusion of innovation theory, and a contextual implementation model. The frameworks presented in this chapter are not exhaustive but are most relevant to the complexity of information and communication technology use in health care settings.

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.

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