語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Legal Ontologies for Protecting Gene...
~
Reep, Michael S.
Legal Ontologies for Protecting Genetic Privacy and Their Enforcement Mechanisms.
紀錄類型:
書目-語言資料,手稿 : Monograph/item
正題名/作者:
Legal Ontologies for Protecting Genetic Privacy and Their Enforcement Mechanisms./
作者:
Reep, Michael S.
面頁冊數:
1 online resource (74 pages)
附註:
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Contained By:
Dissertation Abstracts International79-11B(E).
標題:
Information technology. -
電子資源:
click for full text (PQDT)
ISBN:
9780438114982
Legal Ontologies for Protecting Genetic Privacy and Their Enforcement Mechanisms.
Reep, Michael S.
Legal Ontologies for Protecting Genetic Privacy and Their Enforcement Mechanisms.
- 1 online resource (74 pages)
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Thesis (Ph.D.)--George Mason University, 2018.
Includes bibliographical references
The use of genetic information for treatment and healthcare research has greatly increased over the last few years to provide important diagnostic data from patients to their health care providers and researchers that match phenotypes and genotypes. For patients to be willing to agree for their genetic information to be collected and used in these settings, they must be confident that their rights and directions will be protected. Researchers, healthcare professionals, medical ethicists, law enforcement representatives and other genetic information users must also be confident that they are not violating these legal protections and directives to avoid penalties. This dissertation provides a mechanism to address such concerns through an integrated approach.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9780438114982Subjects--Topical Terms:
559429
Information technology.
Index Terms--Genre/Form:
554714
Electronic books.
Legal Ontologies for Protecting Genetic Privacy and Their Enforcement Mechanisms.
LDR
:03211ntm a2200361Ki 4500
001
919192
005
20181116131021.5
006
m o u
007
cr mn||||a|a||
008
190606s2018 xx obm 000 0 eng d
020
$a
9780438114982
035
$a
(MiAaPQ)AAI10811792
035
$a
(MiAaPQ)gmu:11713
035
$a
AAI10811792
040
$a
MiAaPQ
$b
eng
$c
MiAaPQ
$d
NTU
100
1
$a
Reep, Michael S.
$3
1193704
245
1 0
$a
Legal Ontologies for Protecting Genetic Privacy and Their Enforcement Mechanisms.
264
0
$c
2018
300
$a
1 online resource (74 pages)
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
500
$a
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
500
$a
Adviser: Duminda Wijesekera.
502
$a
Thesis (Ph.D.)--George Mason University, 2018.
504
$a
Includes bibliographical references
520
$a
The use of genetic information for treatment and healthcare research has greatly increased over the last few years to provide important diagnostic data from patients to their health care providers and researchers that match phenotypes and genotypes. For patients to be willing to agree for their genetic information to be collected and used in these settings, they must be confident that their rights and directions will be protected. Researchers, healthcare professionals, medical ethicists, law enforcement representatives and other genetic information users must also be confident that they are not violating these legal protections and directives to avoid penalties. This dissertation provides a mechanism to address such concerns through an integrated approach.
520
$a
Workflows are designed to operate directly in the provider's Electronic Health Record (EHR) to minimize data entry and protect genetic information at the source along with an enforcement mechanism that also incorporates the patient's informed consent. I have created a comprehensive ontology that models the applicable Federal and State laws to help ensure the appropriate safeguards are in place and the requirements for privacy protection are addressed. My contributions include creating a structured rule base with a formal framework that allows the laws to be translated into an executable rules enforceable on Electronic Health Record (EHR) systems. I developed a Rule Hierarchy Algorithm that combines the access results based on Federal, State and Organization laws, policies, and regulations into one consolidated decision including the associated directives, informed consent, and release requirements. These integrated components are enforced with a workflow system and a consent management architecture to provide the necessary security and privacy protections against misuse in the targeted legal areas including employment, insurance, research, and treatment.
533
$a
Electronic reproduction.
$b
Ann Arbor, Mich. :
$c
ProQuest,
$d
2018
538
$a
Mode of access: World Wide Web
650
4
$a
Information technology.
$3
559429
650
4
$a
Genetics.
$3
578972
650
4
$a
Information science.
$3
561178
655
7
$a
Electronic books.
$2
local
$3
554714
690
$a
0489
690
$a
0369
690
$a
0723
710
2
$a
ProQuest Information and Learning Co.
$3
1178819
710
2
$a
George Mason University.
$b
Information Technology.
$3
1180729
773
0
$t
Dissertation Abstracts International
$g
79-11B(E).
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10811792
$z
click for full text (PQDT)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入