Healthcare Information System and Data Mining

2011 ◽  
Vol 55-57 ◽  
pp. 561-566
Author(s):  
Nai Wen Kuo

This paper is to integrate information technology and medical-related technologies to develop a healthcare information system for comprehensive geriatric assessment. This system not only can process geriatric consultation services and ensure that all patient’s information are stored in standardized format , but also provide medical personnel for statistical analysis and processing purposes. This paper uses the Apriori algorithm of data mining for helping doctors to find out the relationship of geriatric syndrome. The systems of this paper can improve increase the timeliness and accuracy of patient care and administration information, increase service capacity, reduce personnel costs, and improve the quality of patient care in geriatric medicine. Furthermore, making the theories and applications of medical informatics will be more extensive and convenient for researcher and healthcare-related industry.

2011 ◽  
Vol 181-182 ◽  
pp. 151-155
Author(s):  
Nai Wen Kuo

This paper is to integrate information technology and medical-related technologies to develop a Healthcare Information System for geriatric care. This system not only can process geriatric consultation services, and ensure that all patient’s information are stored in standardized format , but also provide medical personnel for statistical analysis and processing purposes. Furthermore, this paper uses the Apriori algorithm of data mining for helping doctors to find out the relationship of geriatric syndrome. Moreover, by using the result of association rules, we found out five common aging diseases. Through this information system, we will be able to ameliorate the quality of medication and the efficiency of work in hospital.


2015 ◽  
pp. 424-444
Author(s):  
Jean-Luc Hainaut ◽  
Anne-France Brogneaux ◽  
Anthony Cleve

This chapter studies the requirements for a wide range of healthcare information systems, including, but not limited to, clinical pathways management, patient record management, home care management, and medical personnel and resource management. The analysis concentrates on the description and management of medical activities, leaving aside the standard management processes common to all enterprises. It develops a generic architecture for these information systems comprising four central submodels devoted to the description, respectively, of organizational structures, care processes, information, and resources. Each submodel is analysed independently of the others then integrated into a consistent global model. Extensions of this model to other facets of the healthcare information system are discussed and some practical applications are suggested.


Author(s):  
B. J. Weathersby-Holman

Coronavirus has emphasized the importance of nursing contributions and their integral participation in interdisciplinary leadership teams providing patient care in healthcare organizations. Workforce shortages of qualified nurses in healthcare with technology skills are necessary to maintain a high level of patient care and healthcare operations. A validated instrument, Healthcare Information System Self-Efficacy Perception, was created providing a self-assessment tool for measuring an older working nurse's perception of self-efficacy of healthcare information system training within a healthcare environment. The study was the first of its kind to recognize the salient training differences that existed for older workers in a healthcare setting. The instrument was developed using a focus group, pilot study, and validated with registered nurses (RN) in a single healthcare organization. The sample (N=162) was assessed using an online survey tool. After face validity was established for HISSEP, a principal component factor analysis was conducted to determine content validity.


Author(s):  
Jean-Luc Hainaut ◽  
Anne-France Brogneaux ◽  
Anthony Cleve

This chapter studies the requirements for a wide range of healthcare information systems, including, but not limited to, clinical pathways management, patient record management, home care management, and medical personnel and resource management. The analysis concentrates on the description and management of medical activities, leaving aside the standard management processes common to all enterprises. It develops a generic architecture for these information systems comprising four central submodels devoted to the description, respectively, of organizational structures, care processes, information, and resources. Each submodel is analysed independently of the others then integrated into a consistent global model. Extensions of this model to other facets of the healthcare information system are discussed and some practical applications are suggested.


Health Policy ◽  
2006 ◽  
Vol 78 (1) ◽  
pp. 26-38 ◽  
Author(s):  
Yves Eggli ◽  
Patricia Halfon ◽  
Mehdi Chikhi ◽  
Till Bandi

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