Development of a Pioneering Clinical Support System Utilizing Information Technology

One effort in the development of information technology today requires fast and accurate information in its implementation. in the assessment of the work ability of well-performing and poor employees with the support of a decision support system it produces one of the implementations of the development of information technology in improving the quality of the company's work. where the decision making process determines employee demotion is still done manually. still there are often a number of errors such as misdirection. Therefore, to make an assessment in making a decision to choose a decent demotion employee based on the assessment carried out in the field. Then the decision support system that will be built with a computerized system so that decision making is done quickly and accurately. For this decision support system, use the Profile Matching method or matching the demotion of employee demos with the profile of the employee assessed with the specified Criteria. Making an application program must be made carefully, so that it looks easy to understand and proven useful and useful for users. the system built can help PT. Nafasindo in determining the demotion of employees who are decent and can reduce errors in determining the demotion of employees

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A national report of nursing home information technology: year 1 results

Journal of the American Medical Informatics Association ◽

10.1093/jamia/ocw051 ◽

2016 ◽

Vol 24 (1) ◽

pp. 67-73 ◽

Cited By ~ 13

Author(s):

Gregory L Alexander ◽

Richard W Madsen ◽

Erin L Miller ◽

Melissa K Schaumberg ◽

Allison E Holm ◽

...

Keyword(s):

Information Technology ◽

Nursing Home ◽

The United States ◽

National Study ◽

It Adoption ◽

Nursing Home Administrators ◽

Resident Care ◽

Clinical Support ◽

It Capabilities ◽

Nationally Representative

Abstract Objective To provide a report on year 1 results of a national study investigating nursing home information technology (IT) adoption, called IT sophistication. Methods A reliable and valid survey was used to measure IT sophistication. The target goal was 10% from each state in the United States, 1570 nursing homes. A random sample of homes from each state was recruited from Nursing Home Compare. Results The team reached 2627 nursing home administrators, among whom 1799 administrators agreed to participate and were sent a survey. A total of 815 surveys were completed (45.3% response rate), which was below the goal. Facilities in the participating sample have similar demographic characteristics (ownership, total population in a location, and bed size) to the remaining homes not participating. There are greater IT capabilities in resident care and administrative activities, less in clinical support. The extent of use of these capabilities appears to be highest in administrative activities and lowest in clinical support. IT in resident care appears to be the most integrated with internal and external stakeholders. IT capabilities appear to be greater than IT extent of use in all health domains, with the greatest difference in resident care. Discussion National evaluations of nursing home IT are rare. Measuring trends in IT adoption in a nationally representative sample provides meaningful analytics that could be more useful for policy makers and nursing home leaders in the future. Conclusion Discovering national baseline assessments is a first step toward recognizing nursing home trends in IT adoption.

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Linking information technology and farmer knowledge in a decision support system for improved banana cultivation

Tools for Land Use Analysis on Different Scales - System Approaches for Sustainable Agriculture Development ◽

10.1007/978-94-011-4074-4_9 ◽

2000 ◽

pp. 199-212

Author(s):

Jetse J. Stoorvogel ◽

Romano A. Orlich ◽

Ronald Vargas ◽

Johan Bouma

Keyword(s):

Information Technology ◽

Decision Support ◽

Decision Support System ◽

Support System ◽

Farmer Knowledge

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An E-Health System for Treatment of Childhood Obesity

E-Health Communities and Online Self-Help Groups ◽

10.4018/978-1-60960-866-8.ch002 ◽

2013 ◽

pp. 24-35

Author(s):

Rosa M. Baños ◽

Ausiàs Cebolla ◽

Elia Oliver ◽

Soledad Quero Castellano ◽

Cristina Botella

Keyword(s):

Childhood Obesity ◽

Support System ◽

New Technologies ◽

Care Delivery ◽

Self Control ◽

Mobile Technologies ◽

Home Support ◽

Clinical Support ◽

Public Health Challenges ◽

Life Habits

Obesity is one of the greatest public health challenges of the 21st century and the most prevalent health problem among children in Europe. Treatment is complex due to the multiple causes of obesity that include many dimensions of children’s lives, such as nutritional habits, physical activity, and lifestyle. E-health technologies can be useful in this area; they may improve health care delivery and acceptability, facilitate the provision of interventions to wider populations, and improve treatment efficacy by taking advantage of new technologies such as the Internet and mobile technologies. The objective of this chapter is to describe an e-health platform called ETIOBE. It comprises three complementary applications connected in real time that support different components of weight loss treatment: the Clinical Support System (CSS), the Home Support System (HSS), and the Mobile Support System (MSS). It was designed to treat childhood obesity by improving treatment adherence, promoting the mechanisms of self-control in patients, obtaining the maintenance of patients’ achievements (reducing body weight), and preventing relapses by establishing healthy life habits.

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Design of a Decision Support System for a Home Telehealth Application

International Journal of E-Health and Medical Communications ◽

10.4018/jehmc.2013070105 ◽

2013 ◽

Vol 4 (3) ◽

pp. 68-79 ◽

Cited By ~ 8

Author(s):

Mas S. Mohktar ◽

Kezhang Lin ◽

Stephen J. Redmond ◽

Jim Basilakis ◽

Nigel H. Lovell

Keyword(s):

Decision Support ◽

Decision Support System ◽

Support System ◽

Open Source Software ◽

Business Processes ◽

Rule Engine ◽

Clinical Support ◽

Tier System ◽

Home Telehealth ◽

Data Layer

A decision support system (DSS) that has been designed to manage patients using a home telehealth system is presented. The DSS has been developed to assist home telehealth clinical support staff with their workload, and to provide more effective communication between multiple home telehealth users. The three-tier system architecture that consists of a data layer; a business logic layer; and a front-end layer employs business processes and uses a rule engine for its logic and knowledge base. This paper discusses the design considerations involved in the construction of a DSS for the purpose of home telehealth, and illustrates how it may be developed using entirely open source software.

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