Informed Consent in Healthcare

Author(s):  
Bo Yu ◽  
Duminda Wijesekera ◽  
Paulo Cesar G. Costa

Informed consents, either for treatment or sensitive information use/disclosure, that protect the privacy of patient/participant information subject to law that in certain circumstances may override patient wishes, are mandatory practice in healthcare. Similarly, for protecting and respecting research participants, informed consents are also prerequisite for human subjects research. Although the healthcare industry has widely adopted Electronic Medical Record (EMR) systems, consents are still obtained and stored primarily on paper or scanned electronic documents. Integrating a consent management system for different purposes into an EMR system involves various implementation challenges. A case study, informed consent for genetic services, is used to show how genetic informed consents placed new challenges on the traditional ethical standards of informed consent, and how appropriate consents can be electronically obtained and automatically enforced using a system that combines medical workflows and hierarchically, ontologically motivated rule enforcement. Finally, this chapter describes an implementation that uses the open-source software-based addition of these components to an open-source EMR system, so that existing systems do not need to be scrapped or otherwise rendered obsolete.

2020 ◽  
pp. 1222-1253
Author(s):  
Bo Yu ◽  
Duminda Wijesekera ◽  
Paulo Cesar G. Costa

Informed consents, either for treatment or sensitive information use/disclosure, that protect the privacy of patient/participant information subject to law that in certain circumstances may override patient wishes, are mandatory practice in healthcare. Similarly, for protecting and respecting research participants, informed consents are also prerequisite for human subjects research. Although the healthcare industry has widely adopted Electronic Medical Record (EMR) systems, consents are still obtained and stored primarily on paper or scanned electronic documents. Integrating a consent management system for different purposes into an EMR system involves various implementation challenges. A case study, informed consent for genetic services, is used to show how genetic informed consents placed new challenges on the traditional ethical standards of informed consent, and how appropriate consents can be electronically obtained and automatically enforced using a system that combines medical workflows and hierarchically, ontologically motivated rule enforcement. Finally, this chapter describes an implementation that uses the open-source software-based addition of these components to an open-source EMR system, so that existing systems do not need to be scrapped or otherwise rendered obsolete.


2015 ◽  
Vol 4 (1) ◽  
pp. 25-44
Author(s):  
Bo Yu ◽  
Duminda Wijesekera ◽  
Paulo Costa

Informed consents, either for treatment or use/disclosure, that protect the privacy of patient information subject to law that in certain circumstances may override patient wishes, are mandatory practice in healthcare. Although the healthcare industry has widely adopted Electronic Medical Record (EMR) systems, consents are still obtained and stored primarily on paper or scanned electronic documents. Integrating a consent management system into an EMR system involves various implementation challenges. The authors show how consents can be electronically obtained and enforced using a system that combines medical workflows and ontologically motivated rule enforcement. Finally, the authors describe an implementation that uses open-source software based addition of these components to an open-source EMR system, so that existing systems needn't be scrapped or otherwise rendered obsolete.


2017 ◽  
pp. 1029-1049 ◽  
Author(s):  
Bo Yu ◽  
Duminda Wijesekera ◽  
Paulo Cesar G. Costa

Informed consents, either for treatment or use/disclosure, that protect the privacy of patient information subject to law that in certain circumstances may override patient wishes, are mandatory practice in healthcare. Although the healthcare industry has widely adopted Electronic Medical Record (EMR) systems, consents are still obtained and stored primarily on paper or scanned electronic documents. Integrating a consent management system into an EMR system involves various implementation challenges. The authors show how consents can be electronically obtained and enforced using a system that combines medical workflows and ontologically motivated rule enforcement. Finally, the authors describe an implementation that uses open-source software based addition of these components to an open-source EMR system, so that existing systems needn't be scrapped or otherwise rendered obsolete.


2017 ◽  
Vol 15 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Roxana Willis

Informed consent may be unobtainable in online contexts. This article examines the difficulties of obtaining informed consent online through a Facebook case study. It is proposed that there are at least two ways informed consent could be waived in research: first, if the data are public, and second, if the data are textual. Accordingly, the publicness of the Facebook News Feed is considered. Taking account of the wide availability of Facebook users’ data, and reflecting on how public those users perceive their information to be, this paper argues that some Facebook data are properly viewed as public to semi-public in nature. A second issue is whether the Facebook News Feed data collection ought to be classified as document-based or human subjects research. Since the Facebook News Feed involves social interaction that may elicit ‘ethically important moments’, this paper proposes that observing it may constitute human subjects research. While informed consent is desirable for human subjects research, it is suggested that Facebook News Feed observations are comparable to observational research in a public space, and thus waiving informed consent in this online setting could be justifiable.


Author(s):  
Faried Effendy ◽  
Taufik ◽  
Bramantyo Adhilaksono

: Substantial research has been conducted to compare web servers or to compare databases, but very limited research combines the two. Node.js and Golang (Go) are popular platforms for both web and mobile application back-ends, whereas MySQL and Go are among the best open source databases with different characters. Using MySQL and MongoDB as databases, this study aims to compare the performance of Go and Node.js as web applications back-end regarding response time, CPU utilization, and memory usage. To simulate the actual web server workload, the flow of data traffic on the server follows the Poisson distribution. The result shows that the combination of Go and MySQL is superior in CPU utilization and memory usage, while the Node.js and MySQL combination is superior in response time.


Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4349
Author(s):  
Niklas Wulff ◽  
Fabia Miorelli ◽  
Hans Christian Gils ◽  
Patrick Jochem

As electric vehicle fleets grow, rising electric loads necessitate energy systems models to incorporate their respective demand and potential flexibility. Recently, a small number of tools for electric vehicle demand and flexibility modeling have been released under open source licenses. These usually sample discrete trips based on aggregate mobility statistics. However, the full range of variables of travel surveys cannot be accessed in this way and sub-national mobility patterns cannot be modeled. Therefore, a tool is proposed to estimate future electric vehicle fleet charging flexibility while being able to directly access detailed survey results. The framework is applied in a case study involving two recent German national travel surveys (from the years 2008 and 2017) to exemplify the implications of different mobility patterns of motorized individual vehicles on load shifting potential of electric vehicle fleets. The results show that different mobility patterns, have a significant impact on the resulting load flexibilites. Most obviously, an increased daily mileage results in higher electricty demand. A reduced number of trips per day, on the other hand, leads to correspondingly higher grid connectivity of the vehicle fleet. VencoPy is an open source, well-documented and maintained tool, capable of assessing electric vehicle fleet scenarios based on national travel surveys. To scrutinize the tool, a validation of the simulated charging by empirically observed electric vehicle fleet charging is advised.


2021 ◽  
Vol 113 ◽  
pp. 101604
Author(s):  
Pablo Gutiérrez ◽  
Ary Rivillas ◽  
Daniel Tejada ◽  
Susana Giraldo ◽  
Andrea Restrepo ◽  
...  

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