scholarly journals РОЗРОБКА ПЛАТФОРМИ СИСТЕМИ ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕННЯ ДЛЯ МЕДИЧНОЇ ІНФОРМАЦІЙНОЇ СИСТЕМИ З ВІДКРИТИМ КОДОМ OPENEMR

2015 ◽  
Author(s):  
A. V. Semenets ◽  
V. P. Martsenyuk
Keyword(s):  
Decision Making ◽  
Open Source ◽  
Medical Information ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Medical Decision ◽  
Decision Making Process ◽  
Model View Controller ◽  
Platform Development ◽  
Developer Tools

<h3>Introduction</h3><p class="1415">An importance of Medical Information Systems (MIS) in medical practice and education is displayed. The wide usage of the Electronic Medical Records (EMR) software is signed.</p><h3>Current state. The open source EMR-systems usage</h3><p class="1415">The importance and alternative approaches to the implementation of the MIS in the Ukraine healthcare system are discussed. The situation on the MIS development in Ukraine is presented. The benefits of the open-source MIS usage are shown.</p><p class="1415">Effectiveness of the Clinical Decision Support Systems (CDSS) application in the medical decision making process are introduced. The CDSS capabilities in diagnostic of the pregnancy pathologies are considered.</p><h3>The CDSS platform development implementation</h3><p class="1415">The step-by-step results of the CDSS platform development as the plugin for the open-source MIS OpenEMR are presented.</p><p class="1415">The open-source MIS OpenEMR developer tools and software API are reviewed.</p><p class="1415">The information model of the CDSS database was proposed and developed. The Model-View-Controller (MVC) based approach to the CDSS architecture is proposed. The CDSS dialog subsystem implementation according to the MIS OpenEMR programming API is developed. The administrative module of the CDSS platform based on the Yii2 php-framework is created.</p><p class="1415">An approach to the decision making process which is based on the decision tree algorithm usage is proposed. An implementation of the given above approach as separate web-service based won the Google App Engine (GAE) capabilities is presented. The data exchanging formats and methods which OpenEMR CDSS module and DecissionTree GAE service interaction establish are developed.</p>

scholarly journals РЕФАКТОРІНГ ПРОГРАМНОГО КОДУ ДІАЛОГОВОГО КОМПОНЕНТУ ПЛАТФОРМИ СИСТЕМИ ПІДТРИМКИ ПРИЙНЯТТЯ РІШЕННЯ ДЛЯ МЕДИЧНОЇ ІНФОРМАЦІЙНОЇ СИСТЕМИ З ВІДКРИТИМ КОДОМ OpenMRS

2016 ◽  
Author(s):  
A. V. Semenets ◽  
V. P. Martsenyuk
Keyword(s):  
Open Source ◽  
Medical Information ◽  
Clinical Decision ◽  
Medical Decision ◽  
Java Programming ◽  
Code Refactoring ◽  
Ajax Technology ◽  
Model View Controller ◽  
Alternative Approaches ◽  
Developer Tools

The importance of Medical Information Systems (MIS) for medical practice is emphasized. The wide usage of the Electronic Medical Records (EMR) software is displayed. The importance and alternative approaches to implementation of the MIS in the Ukraine healthcare system are discussed. The benefits of the open-source MIS usage are shown. Effectiveness of the Clinical Decision Support System (CDSS) application in the medical decision making process is emphasized.<p>The open-source MIS OpenMRS developer tools and software API are reviewed. The results of code refactoring of the dialog subsystem of the CDSS platform which is made as module for the open-source MIS OpenMRS are presented. The structure of information model of database of the CDSS dialog subsystem was updated according with MIS OpenMRS requirements. The Model-View-Controller (MVC) based approach to the CDSS dialog subsystem architecture was re-implemented with Java programming language using Spring and Hibernate frameworks. The MIS OpenMRS Encounter portlet form for the CDSS dialog subsystem integration is developed as an extension. The administrative module of the CDSS platform is recreated. The data exchanging formats and methods for interaction of OpenMRS CDSS dialog subsystem module and DecisionTree GAE service are re-implemented with help of AJAX technology via jQuery library</p>

Clinical Decision Making by Emergency Room Physicians and Residents

2008 ◽  
pp. 217-223
Author(s):  
Ken J. Farion ◽  
Michael J. Hine ◽  
Wojtek Michalowski ◽  
Szymon Wilk
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Decision Support ◽  
Clinical Decision Making ◽  
Clinical Decision Support Systems ◽  
Clinical Decision ◽  
Medical Community ◽  
Medical Decision ◽  
Best Interest ◽  
Complex Process

Clinical decision-making is a complex process that is reliant on accurate and timely information. Clinicians are dependent (or should be dependent) on massive amounts of information and knowledge to make decisions that are in the best interest of the patient. Increasingly, information technology (IT) solutions are being used as a knowledge transfer mechanism to ensure that clinicians have access to appropriate knowledge sources to support and facilitate medical decision making. One particular class of IT that the medical community is showing increased interest in is clinical decision support systems (CDSSs).

Decision-Making and Decision Support in Acute Care

2013 ◽  
pp. 1-18
Author(s):  
Brett W. Taylor
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Clinical Decision Support Systems ◽  
Evaluation Process ◽  
Clinical Decision ◽  
Medical Decision ◽  
Information Tools ◽  
Novices And Experts ◽  
And Function ◽  
Medical Choice

Clinical Decision Support Systems (CDSS) are information tools intended to optimize medical choice, promising better patient outcomes, faster care, reduced resource expenditure, or some combination of all three. Clinical trials of CDSS have provided only insipid evidence of benefit to date. This chapter reviews the theory of medical decision-decision making, identifying the different decision support needs of novices and experts, and demonstrates that discipline, objective and setting, and affect of the nature of support that is required. A discussion on categorization attempts to provide metrics by which systems can be compared and evaluated, in particular with regard to decision support mechanics and function. Throughout, the common theme is the placement of clinical decision makers at the center of the design or evaluation process.

From Medical Data to Health Knowledge

1987 ◽  
Vol 26 (01) ◽  
pp. 3-12 ◽  
Author(s):  
J. M. Martin ◽  
L. Benamghar ◽  
B. Junod ◽  
P. Marrel
Keyword(s):  
Decision Making ◽  
Medical Decision Making ◽  
Health Knowledge ◽  
Medical Information ◽  
Computer Systems ◽  
Medical Knowledge ◽  
Medical Data ◽  
Medical Decision ◽  
Decision Making Process ◽  
The Way

SummaryThe problems of assisting in the medical decision-making process are attracting more and more attention.Actually a certain number of computer systems have considerably improved the availability of medical data. However, we encounter some difficulties when extending these systems. In order to surmount these problems, it is necessary to proceed further in the analysis and comprehension of medical information and processes.To accomplish this goal, it is necessary to have a better understanding of the way in which a group of medical data is derived from one piece of medical knowledge and also how a chunk of medical knowledge is related to its corresponding medical data.This article is a beginning in the study of the transition from medical data to health knowledge, and this transition represents only part of the global entity, the nature, the representation, and use of medical information.

Decision-Making and Decision Support in Acute Care

2017 ◽  
pp. 911-928
Author(s):  
Brett W. Taylor
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Clinical Decision Support Systems ◽  
Evaluation Process ◽  
Clinical Decision ◽  
Medical Decision ◽  
Information Tools ◽  
Novices And Experts ◽  
And Function ◽  
Medical Choice

Clinical Decision Support Systems (CDSS) are information tools intended to optimize medical choice, promising better patient outcomes, faster care, reduced resource expenditure, or some combination of all three. Clinical trials of CDSS have provided only insipid evidence of benefit to date. This chapter reviews the theory of medical decision-decision making, identifying the different decision support needs of novices and experts, and demonstrates that discipline, objective and setting, and affect of the nature of support that is required. A discussion on categorization attempts to provide metrics by which systems can be compared and evaluated, in particular with regard to decision support mechanics and function. Throughout, the common theme is the placement of clinical decision makers at the center of the design or evaluation process.

Benner’s Framework and Clinical Decision-Making in the Critical Care Environment

2016 ◽  
Vol 30 (1) ◽  
pp. 52-57 ◽  
Author(s):  
Kristi J. Stinson
Keyword(s):  
Decision Making ◽  
Critical Care ◽  
Clinical Experience ◽  
Strong Correlation ◽  
Clinical Decision Making ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Clinical Experiences ◽  
Care Environment ◽  
Decision Making Processes

Completed as part of a larger dissertational study, the purpose of this portion of this descriptive correlational study was to examine the relationships among registered nurses’ clinical experiences and clinical decision-making processes in the critical care environment. The results indicated that there is no strong correlation between clinical experience in general and clinical experience in critical care and clinical decision-making. There were no differences found in any of the Benner stages of clinical experience in relation to the overall clinical decision-making process.

scholarly journals Pet owners’ and veterinarians’ perceptions of information exchange and clinical decision-making in companion animal practice

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245632
Author(s):  
Natasha Janke ◽  
Jason B. Coe ◽  
Theresa M. Bernardo ◽  
Cate E. Dewey ◽  
Elizabeth A. Stone
Keyword(s):  
Decision Making ◽  
Focus Groups ◽  
Information Exchange ◽  
Clinical Decision Making ◽  
Current Knowledge ◽  
Exchange Process ◽  
Clinical Decision ◽  
Decision Making Process ◽  
Pet Owners ◽  
Pet Owner

One of the most complex aspects of the veterinarian-client-patient interaction is the clinical decision-making process. Research suggests that the approach to communication used by veterinarians can impact veterinary clients’ involvement in the decision-making process and their ultimate satisfaction. Using different approaches to the decision-making process may affect how information is exchanged and consequently how decisions are made. The objective of this study was to determine pet owners’ expectations with respect to information exchange and decision-making during veterinarian-client-patient interactions and to compare veterinarians’ perceptions of those expectations and the challenges they face in meeting them. Five pet owner focus groups (27 owners) and three veterinarian focus groups (24 veterinarians) were conducted with standardized open-ended questions and follow-up probes. Thematic analysis of the transcribed data was conducted to identify trends and patterns that emerged during the focus groups. Three pet owner-based themes were identified: 1) understanding the client; 2) providing information suitable for the client; and 3) decision-making. In addition, three barriers for veterinarians affecting information exchange and decision-making were identified: 1) time constraints; 2) involvement of multiple clients; and 3) language barriers. Results suggest that pet owners expect to be supported by their veterinarian to make informed decisions by understanding the client’s current knowledge, tailoring information and educating clients about their options. Breakdowns in the information exchange process can impact pet owners’ perceptions of veterinarians’ motivations. Pet owners’ emphasis on partnership suggests that a collaborative approach between veterinarians and clients may improve client satisfaction.

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