Future Developments of Data Processing in Health Care

1982 ◽  
Vol 21 (02) ◽  
pp. 55-58 ◽  
Author(s):  
Peter Reichertz

An analysis is made concerning the development of data processing in medicine and of medical informatics as a genuine methodological discipline. A classification is given for the major application areas: 1) Data analysis, 2) Information logistics and 3) Signal analysis.The present development is seen to be characterized by a tendency towards »peripheralization« and decomposition of central systems. Out of this development the necessity is formulated for medical informatics to move away from system realization and maintenance to methodological orientation and genuine research work in the field of information analysis, system analysis, decision support, development of general concepts for networks and application systems and quality assessment. New technological activities are expected in the field of imaging and endoprosthetics. The necessity for educational programs is emphasized.

2010 ◽  
Vol 121-122 ◽  
pp. 441-446
Author(s):  
Qing Zhang Chen ◽  
Jie Chen ◽  
Yong Ming Yu

In this paper, we used UML method to complete the whole hospital information system analysis and design. It is described the system and determine the requirement of system’s function. It also completes the system’s architecture design and detailed design and implement to the system. The main idea of thesis is as follows: 1)It adopt UML to object-oriented the modeling hospital information system, and will be a good way to solve a few questions from hospital information system in nowadays. 2)It moves around the main ideas of RUP (use-case driven, architecture-centric, iterative and incremental). At the beginning of get demand, through the system analysis, system design, until to the final of the system implementation. It adopts the stepwise deduction to go deep into the way of refining organization to anatomize the whole the process of the hospital information system. Through the success of the hospital information system modeling to prove that the core idea of the UML-based on RUP modeling techniques is practical in the development of large-scale of application systems. At the same time, it also prepared to provide a better reference and instance for the project or team to adopt this technology.


2019 ◽  
Vol 2 (2) ◽  
pp. 14
Author(s):  
Cecep Kurnia Sastradipraja ◽  
Aris Subagja ◽  
Dea Kris Sintiana Putri ◽  
Haerul Ramadan ◽  
Raziya Mutasim

This research aims to analyze and develop service quality information systems on client satisfaction at PT. Longvin. This is because of PT. Longvin in processing service evaluations, assessing and distributing questionnaires which were still carried out manually so that in general it allowed for limitations and shortcomings such as piling up of files, incomplete questionnaire data filling, slow data processing, and could result in inaccurate decisions.The process of developing information systems using the waterfall model includes requirements analysis, system analysis, system modeling through defining context diagrams, data flow diagrams and entity relationship diagram. At the implementation stage, the system is oriented to the web environment using the programming languages PHP and MySQL as database management. For the analysis of service quality measurement using the servqual model. In the system, testing is carried out using BlackBox testing, while end-user testing is based on the results of questionnaire data processing using the Likert scale model.Based on the observation that the system can display the results of service quality calculations quickly and depicted through detailed graphs, total tables, average tables, and automatic suggestions. The results of system testing on end users show that the application built is very good with a percentage of 82% giving an agreed assessment.


2021 ◽  
Vol 23 (2) ◽  
pp. 150-158
Author(s):  
Amelia Yusnita ◽  
Kusnandar Kusnandar ◽  
Dewi Rosita

There are too many souvenir centers in Samarinda. Usually, it makes everyone confused to choose it, and it takes a long time to decide. This is one of the most common problems. In determining the location of the souvenir center, it is necessary to use place recommendations to save time. Therefore we need a system and method that can be applied to recommend a souvenir center. The souvenir center place recommendation application is made to help everyone in finding a souvenir center place with a choice of types of souvenirs. The method used is the Graph Coloring Method; with the application development method used is Waterfall consisting of data analysis, technology analysis, system analysis, information analysis and user analysis. The result of this research is that an application for determining the souvenir center, that application ion can recommend a center for souvenirs with the same choice of souvenirs. Users can input the type of souvenirs that they want, and then the application will recommend the center of the souvenirs by using a simple row and point coloring algorithm. After processing, the application will be able to display the results of recommendations for souvenir centers with the same type of souvenirs.


2020 ◽  
Vol 22 (2) ◽  
pp. 177-186
Author(s):  
Wiwik Widiyatni ◽  
Vilianty Rafida ◽  
Hanifah Ekawati Sibali ◽  
Hannie Ardilla Kusuma

Culinary tourism in an area is usually hunted by tourists. The problem that often arises is that many restaurants are available so that it makes tourists confused to choose a restaurant and takes a long time to decide on a choice of restaurants. Therefore, we need a system and method that can be applied to recommend restaurants. The restaurant recommendation application in this study was created to assist tourists in finding restaurants with the same menu choices. The method used is the Graph Coloring Method, the application development method used is Waterfall consisting of data analysis, technology analysis, system analysis, information analysis and user analysis. The results of this study are made an application to determine which restaurants can recommend restaurants with the same menu. Users can enter the menu as they wish then the application will recommend restaurants using a simple line coloring algorithm at the point. After processing the application will be able to display the results of restaurant recommendations with the same menu


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