Health Care Information Systems and the Risk of Privacy Issues for the Disabled

Cyber Crime ◽  
2013 ◽  
pp. 870-890
Author(s):  
John Beswetherick

The healthcare industry is moving towards adoption of electronic health records. There are associated privacy and security implications to this move towards electronic collection and storage of sensitive health information. This chapter suggests that the impact on the privacy and security of health information for disabled individuals is greater than that for the general populace. Contributors to this increased risk are related to the increase in dependence on the clinical care system and the related increase in volume of the data that is collected, stored and exchanged as a function of providing care to this population.

Author(s):  
John Beswetherick

The healthcare industry is moving towards adoption of electronic health records. There are associated privacy and security implications to this move towards electronic collection and storage of sensitive health information. This chapter suggests that the impact on the privacy and security of health information for disabled individuals is greater than that for the general populace. Contributors to this increased risk are related to the increase in dependence on the clinical care system and the related increase in volume of the data that is collected, stored and exchanged as a function of providing care to this population.


Author(s):  
Richard Heeks ◽  
David Mundy ◽  
Angel Salazar

Some health care information systems (HCIS) do succeed, but the majority are likely to fail in some way. To explain why this happens, and how failure rates may be reduced, the chapter describes the “ITPOSMO” model of conception-reality gaps. This argues that the greater the change gap between current realities and the design conceptions (i.e., requirements and assumptions) of a new healthcare information system, the greater the risk of failure. Three archetypal large design-reality gaps affect the HCIS domain and are associated with an increased risk of failure: • Rationality—reality gaps: that arise from the formal, rational way in which many HCIS are conceived, which mismatches the behavioral realities of some healthcare organizations. • Private—public sector gaps: that arise from application in public sector contexts of HCIS developed for the private sector. • Country gaps: that arise from application in one country of HCIS developed in a different country.


Author(s):  
Flávia Emília Cavalcante Valença Fernandes ◽  
Mayra Cavalcante do Nascimento ◽  
Palloma Lopes de Arruda ◽  
Rosana Alves de Melo

Objetivo: Avaliar a influência das ações de alimentação dos Sistemas de Informação utilizados na Atenção Primária a Saúde (APS) sobre os cuidados de enfermagem ao indivíduo ou comunidade. Método: Pesquisa quantitativa, com enfermeiros da Atenção Primária. Utilizaram-se os testes ANOVA one-way, Kruskal-Wallis e correlação de Spearman com significância de 5% e confiança de 95%. Resultados: A maioria dos enfermeiros era mulher (94,5%), 34,4 anos de idade, 8,8 anos de formação, sendo 7,6 anos atuando na atenção primária, especialista e concursada. Observou-se associação negativa (p-valor = 0,008) entre tempo destinado às atividades de alimentação dos sistemas e o tempo de atenção aos pacientes. Conclusão: O estudo aponta a influência das ações gerenciais voltadas aos sistemas de informação sobre a atenção prestada aos indivíduos/comunidade. 


1997 ◽  
Vol 13 (2) ◽  
pp. 380-393 ◽  
Author(s):  
James G. Anderson ◽  
Carolyn E. Aydin

AbstractEvaluating the impact of computer-based medical information systems requires not only an understanding of computer technology but also an understanding of complex social and behavioral processes. This essay discusses the need for evaluation of health care information systems, a set of evaluation questions based on assumptions about the impact of technology on organizations, and recommendations for reducing barriers to the implementation of health care information systems.


2020 ◽  
pp. 16-30
Author(s):  
Mukesh Soni ◽  
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YashKumar Barot ◽  
...  

Health care information has great potential for improving the health care system and also providing fast and accurate outcomes for patients, predicting disease outbreaks, gaining valuable information for prediction in future, preventing such diseases, reducing healthcare costs, and improving overall health. In any case, deciding the genuine utilization of information while saving the patient's identity protection is an overwhelming task. Regardless of the amount of medical data it can help advance clinical science and it is essential to the accomplishment of all medicinal services associations, at the end information security is vital. To guarantee safe and solid information security and cloud-based conditions, It is critical to consider the constraints of existing arrangements and systems for the social insurance of information security and assurance. Here we talk about the security and privacy challenges of high-quality important data as it is used mainly by the healthcare structure and similar industry to examine how privacy and security issues occur when there is a large amount of healthcare information to protect from all possible threats. We will discuss ways that these can be addressed. The main focus will be on recently analyzed and optimized methods based on anonymity and encryption, and we will compare their strengths and limitations, and this chapter closes at last the privacy and security recommendations for best practices for privacy of preprocessing healthcare data.


Author(s):  
Daniela America da Silva ◽  
Gildarcio Sousa Goncalves ◽  
Samara Cardoso dos Santos ◽  
Victor Ulisses Pugliese ◽  
Julhio Navas ◽  
...  

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