On the Secure Storage and Transmission of Health Care Records Based on DNA Sequences

Author(s):  
A. Murugan ◽  
Grasha Jacob
Author(s):  
Grasha Jacob ◽  
Murugan Annamalai

Telemedicine has become a common method for transmission of medical images and patient data across long distances. With the growth of computer networks and the latest advances in digital technologies, large amount of digital data gets exchanged over various types of insecure networks - wired or wireless. Modern Healthcare Management Systems need to change to accommodate these new advances. There is an urgent need to protect the confidentiality of health care records that are stored in common databases and transmitted over public insecure channels. This chapter outlines DNA sequence based cryptography which is easy to implement and is robust against cryptanalytic attack as there is insignificant correlation between the original record and the encrypted image for the secure storage and transmission of health records.


Author(s):  
Grasha Jacob ◽  
Murugan Annamalai

Telemedicine has become a common method for transmission of medical images and patient data across long distances. With the growth of computer networks and the latest advances in digital technologies, large amount of digital data gets exchanged over various types of insecure networks - wired or wireless. Modern Healthcare Management Systems need to change to accommodate these new advances. There is an urgent need to protect the confidentiality of health care records that are stored in common databases and transmitted over public insecure channels. This chapter outlines DNA sequence based cryptography which is easy to implement and is robust against cryptanalytic attack as there is insignificant correlation between the original record and the encrypted image for the secure storage and transmission of health records.


2011 ◽  
Author(s):  
José Manuel Ortega Egea ◽  
María Victoria Román González

2011 ◽  
Author(s):  
José Manuel Ortega Egea ◽  
María Victoria Román González

1993 ◽  
Vol 32 (04) ◽  
pp. 272-273 ◽  
Author(s):  
A. L. Rector

Response to: Essin DJ. Intelligent processing of loosely structured documents as a strategy for organizing electronic health care records. Meth Inform Med 1993; 32: 265.


1993 ◽  
Vol 32 (04) ◽  
pp. 265-268 ◽  
Author(s):  
D. J. Essin

AbstractLoosely structured documents can capture more relevant information about medical events than is possible using today’s popular databases. In order to realize the full potential of this increased information content, techniques will be required that go beyond the static mapping of stored data into a single, rigid data model. Through intelligent processing, loosely structured documents can become a rich source of detailed data about actual events that can support the wide variety of applications needed to run a health-care organization, document medical care or conduct research. Abstraction and indirection are the means by which dynamic data models and intelligent processing are introduced into database systems. A system designed around loosely structured documents can evolve gracefully while preserving the integrity of the stored data. The ability to identify and locate the information contained within documents offers new opportunities to exchange data that can replace more rigid standards of data interchange.


2021 ◽  
Author(s):  
James O'Connell ◽  
Niamh Reidy ◽  
Cora McNally ◽  
Debbi Stanistreet ◽  
Eoghan de Barra ◽  
...  

Abstract Background Tuberculosis elimination (TB) is a global priority that requires high-quality timely care to be achieved. In low TB incidence countries such as Ireland, delayed diagnosis is common. Despite cost being central to policy making, it is not known if delayed care affects care cost among TB patients in a low-incidence setting. Methods Health care records of patients with signs and symptoms of TB evaluated by a tertiary service in Ireland between July 1st 2018 and December 31st 2019 were reviewed to measure and determine predictors of patient-related delays, health care-provider related delay and the cost of TB care. Benchmarks against which the outcomes were compared were derived from the literature. Results Thirty-seven patients were diagnosed with TB and 51% (19/37) had pulmonary TB (PTB). The median patient-related delay was 60 days among those with PTB, greater than the benchmark derived from the literature (38 days). The median health care provider-related delay among patients with PTB was 16 days and, although similar to the benchmark (median 22 days, minimum 11 days, maximum 36 days) could be improved. The health care-provider related delay among patients with EPTB was 66 days, greater than the benchmark (42 days). The cost of care was €8298, and while similar to that reported in the literature (median €9,319, minimum €6,486, maximum €14,750) could be improved. Patient-related delay among those with PTB predicted care costs. Conclusion Patient-related and health care-related delays in TB diagnosis in Ireland must be reduced. Initiatives to do so should be resourced.


Author(s):  
Jyotsna Talreja Wassan

The digitization of world in various areas including health care domain has brought up remarkable changes. Electronic Health Records (EHRs) have emerged for maintaining and analyzing health care real data online unlike traditional paper based system to accelerate clinical environment for providing better healthcare. These digitized health care records are form of Big Data, not because of the fact they are voluminous but also they are real time, dynamic, sporadic and heterogeneous in nature. It is desirable to extract relevant information from EHRs to facilitate various stakeholders of the clinical environment. The role, scope and impact of Big Data paradigm on health care is discussed in this chapter.


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