scholarly journals Advantages of E-Health System Management

Author(s):  
Gaurav Bordoloi ◽  
Sahadev Roy
2017 ◽  
Vol 9 (2) ◽  
pp. 65-69
Author(s):  
Vivek Ghosh ◽  
S Lamichhane ◽  
SB Thakuri ◽  
KCS Khadka ◽  
SS Teli ◽  
...  

According to the curriculum of Bachelor of Medicine and Bachelor of Surgery (MBBS) program of the Tribhuvan University (TU), Institute of Medicine (IOM), the Department of Community Medicine of Gandaki Medical College (GMC) has been conducting the District Health System Management (DHSM) study for the students of MBBS, third phase (4th year). This program provides us an opportunity for clinical and community orientation to develop skills to become a competent medical professional to work at different levels of hospitals and district health system. This course enables us to assess resource potentials and constraints, prioritize the health problems and set strategies for solving them. It also enables us to be able to work in promotive, preventive, curative and rehabilitative health services as part of district health team. The program begins with theory classes on management and orientation classes at the college and placement of the students in three different places with rotation along with field supervisions in between. Here we are presenting our investigations on epidemiology of chronic obstructive pulmonary disease made at Western Regional Hospital during our District Health System Management (DHSM) study in third phase (Fourth year).Journal of Gandaki Medical College Volume, 09, Number 2, July December  2016, Page: 65-69 


2021 ◽  
Vol 34 (4) ◽  
pp. 527-545
Author(s):  
Rona Bahreini ◽  
Masoumeh Gholizadeh ◽  
Fethiye Gulin Gedik ◽  
Mahmoud Yousefi ◽  
Ali Janati

Purpose The purpose of this study is to identify components of contributing conditions to strengthen leadership and management capacity in the health system. Design/methodology/approach A systematic search was undertaken in databases including PubMed, Scopus, Web of Science and local resources of Scientific Information Database and Magiran in January 2020. Two independent researchers checked the research process, screening of articles and quality assessment. The quality of the studies was assessed by JBI critical appraisal tools for qualitative studies. The components of the dimensions of health system management and leadership capacity were categorized according to the WHO conceptual framework using a content analysis approach. Findings A total of 17 articles were included in this study. In total, 16 categories of components include human resource information system (n = 5); criteria, plans and procedures for selection and appointment (n = 5); development of education system (n = 11); skills (n = 39); knowledge (n = 8); attitudes (n = 6); behaviors (n = 10); resource and critical management system (n = 7); performance and processes management (n = 3); operational planning for critical systems (n = 4); establish control systems (n = 2); inputs and outputs of organizations (n = 2); accountability and responsibility to customers and stakeholders (n = 4); legal authority and requirements to play the role of managers (n = 9); external and internal environment management (n = 7); establish a system of appreciation and encouragement (n = 6). Each of these categories also contains subcategories. Originality/value Identifying prerequisite conditions are necessary for building leadership and management capacity in health systems. Therefore, extracted components provide a simple but coherent framework that can be adapted or modified for use in local situations. The components have a variety of uses, including mapping current activities, needs assessment, planning leadership and management development strategies and monitoring and evaluation.


1989 ◽  
Vol 19 (8) ◽  
pp. 408-411 ◽  
Author(s):  
Paul Rodenhauser ◽  
Milton Greenblatt

2019 ◽  
Vol 32 (4) ◽  
pp. 178-182 ◽  
Author(s):  
Syed Sibte Raza Abidi ◽  
Samina Raza Abidi

Healthcare is a living system that generates a significant volume of heterogeneous data. As healthcare systems are pivoting to value-based systems, intelligent and interactive analysis of health data is gaining significance for health system management, especially for resource optimization whilst improving care quality and health outcomes. Health data analytics is being influenced by new concepts and intelligent methods emanating from artificial intelligence and big data. In this article, we contextualize health data and health data analytics in terms of the emerging trends of artificial intelligence and big data. We examine the nature of health data using the big data criterion to understand “how big” is health data. Next, we explain the working of artificial intelligence–based data analytics methods and discuss “what insights” can be derived from a broad spectrum of health data analytics methods to improve health system management, health outcomes, knowledge discovery, and healthcare innovation.


Author(s):  
Natalie Leon ◽  
Yusentha Balakrishna ◽  
Ameer Hohlfeld ◽  
Willem A Odendaal ◽  
Bey-Marrié Schmidt ◽  
...  

2019 ◽  
Vol 1 (4) ◽  
pp. 55-63 ◽  
Author(s):  
Садовникова Юлия Юрьевна ◽  
◽  
Тимейчук Людмила Николаевна ◽  
Уварова Галина Геннадьевна ◽  
◽  
...  

2020 ◽  
Author(s):  
Tahereh Shafaghat ◽  
Peivand Bastani ◽  
Mohammad Hasan Imani Nasab ◽  
Mohammad Amin Bahrami ◽  
Zahra Kavosi ◽  
...  

Abstract Background: Scientific evidence is the basis for improving public health; decision-making without sufficient attention to evidence may lead to unpleasant consequences. In recent years, efforts have been made to create more comprehensive guidelines for evidence-based decision-making (EBDM), thus the purpose of the present study was developing a framework for EBDM to make the best decisions concerning to scare resources and too many needs. Methods: The present basic-applied research was a secondary study carried out using qualitative research method in 2019. A Systematic Scoping Review (SSR) was done for the comprehensive review of the existing published studies in this area. This method, according to Arksey and O’Malley approach, consists of five main stages and one optional stage. Results: Based on the SSR, 3751 studies from 7 databases were found, and due to the full-text screening of the studies, 30 final studies were selected for extracting the components and steps of EBDM in Health System Management (HSM). After collecting, synthesizing, and categorizing key information, the framework of EBDM in HSM is developed in the form of four general scopes of inquiring, inspecting, implementing and integrating, which includes 10 main steps and 56 sub-steps. Conclusions: The present framework tries to present a sequential systematic map to achieve evidence-based decision and policy making specially for under developed and developing countries which mostly suffer from applying update and applied evidences in their decision-making process. At the same time, it seems that the present framework tries to synthesize and integrate the fragmented elements of the other models and in this way can be tested by developed countries to improve their EBDM cycle.


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