-
1
-
-
0034286968
-
Concepts of trust among patients with serious illness
-
PID: 10975226, COI: 1:STN:280:DC%2BD3M%2FmvVaiug%3D%3D
-
Mechanic D, Meyer S. Concepts of trust among patients with serious illness. Soc Sci Med. 2000;51(5):657–68.
-
(2000)
Soc Sci Med
, vol.51
, Issue.5
, pp. 657-668
-
-
Mechanic, D.1
Meyer, S.2
-
2
-
-
77953213147
-
Myths and fallacies of personally identifiable information
-
Narayanan A, Shmatikov V. Myths and fallacies of personally identifiable information. Commun ACM. 2010;53(6):24–6.
-
(2010)
Commun ACM
, vol.53
, Issue.6
, pp. 24-26
-
-
Narayanan, A.1
Shmatikov, V.2
-
3
-
-
77957594024
-
-
Ohm P. Broken promises of privacy: responding to the surprising failure of anonymization. UCLA Law Rev. 2010;57(6)
-
Ohm P. Broken promises of privacy: responding to the surprising failure of anonymization. UCLA Law Rev. 2010;57(6).
-
-
-
-
4
-
-
84920273610
-
-
World Economic Forum. Personal data: the emergence of a new asset class. 2011. Accessed 31 May 2014
-
World Economic Forum. Personal data: the emergence of a new asset class. 2011. http://www.weforum.org/reports/personal-data-emergence-new-asset-class. Accessed 31 May 2014.
-
-
-
-
5
-
-
84897444265
-
The rise of big data: how it’s changing the way we think about the world
-
Cukier KN, Mayer-Schoenberger V. The rise of big data: how it’s changing the way we think about the world. Foreign Aff. 2013. http://www.foreignaffairs.com/articles/139104/kenneth-neil-cukier-and-viktor-mayer-schoenberger/the-rise-of-big-data. Accessed 31 May 2014.
-
(2013)
Foreign Aff
-
-
Cukier, K.N.1
Mayer-Schoenberger, V.2
-
6
-
-
84920272499
-
The digital universe in 2020: big data, bigger digital shadows
-
IDC. The digital universe in 2020: big data, bigger digital shadows, and the biggest growth in the far east - United States. 2013. http://www.emc.com/collateral/analyst-reports/idc-digital-universe-united-states.pdf. Accessed 31 May 2014.
-
(2013)
and the biggest growth in the far east - United States
-
-
-
7
-
-
84920285752
-
-
Guardian. A Guardian guide to your metadata. 2013. Accessed 31 May 2014. Clear tables on what is included in metadata for email, phone, Facebook, Twitter, search and web browser
-
Guardian. A Guardian guide to your metadata. 2013. http://www.theguardian.com/technology/interactive/2013/jun/12/what-is-metadata-nsa-surveillance#meta=0000000. Accessed 31 May 2014. Clear tables on what is included in metadata for email, phone, Facebook, Twitter, search and web browser.
-
-
-
-
8
-
-
84920269068
-
-
IDC. The diverse and exploding digital universe. 2008. Accessed 31 May 2014
-
IDC. The diverse and exploding digital universe. 2008. http://www.emc.com/collateral/analyst-reports/diverse-exploding-digital-universe.pdf. Accessed 31 May 2014.
-
-
-
-
9
-
-
84920272119
-
-
IDC. The digital universe decade - are you ready? 2010. Accessed 31 May 2014
-
IDC. The digital universe decade - are you ready? 2010. http://www.emc.com/collateral/analyst-reports/idc-digital-universe-are-you-ready.pdf. Accessed 31 May 2014.
-
-
-
-
10
-
-
84877955544
-
-
Cohen JE. What privacy is for (November 5, 2012). Harv Law Rev. 2013;126.
-
(2012)
Harv Law Rev
, vol.2013
, pp. 126
-
-
-
11
-
-
33847382472
-
The privacy paradox: personal information disclosure intentions versus behaviors
-
Norberg PA, Horne DR, Horne DA. The privacy paradox: personal information disclosure intentions versus behaviors. J Consum Aff. 2007;41(1):100–26.
-
(2007)
J Consum Aff
, vol.41
, Issue.1
, pp. 100-126
-
-
Norberg, P.A.1
Horne, D.R.2
Horne, D.A.3
-
12
-
-
78650215027
-
Proceedings of the 9th annual ACM workshop on privacy in the electronic society
-
McDonald AM, Cranor LF. Americans’ attitudes about internet behavioral advertising practices. In: Proceedings of the 9th annual ACM workshop on privacy in the electronic society. ACM; 2010. 63–72.
-
ACM
, vol.2010
, pp. 63-72
-
-
McDonald, A.M.1
-
14
-
-
38349195111
-
Overcoming online information privacy concerns: an information-processing theory approach
-
Hann IH, Hui KL, Lee SYT, et al. Overcoming online information privacy concerns: an information-processing theory approach. J Manag Inf Syst. 2007;24(2):13–42.
-
(2007)
J Manag Inf Syst
, vol.24
, Issue.2
, pp. 13-42
-
-
Hann, I.H.1
Hui, K.L.2
Lee, S.Y.T.3
-
15
-
-
77956216533
-
-
Addison-Wesley Professional, For those wanting background information, excellent introduction to the digital world:
-
Abelson H, Leeden K, Lewis H. Blown to bits: your life, liberty, and happiness after the digital explosion. Addison-Wesley Professional; 2008. For those wanting background information, excellent introduction to the digital world.
-
(2008)
Blown to bits: your life, liberty, and happiness after the digital explosion
-
-
Abelson, H.1
Leeden, K.2
Lewis, H.3
-
16
-
-
78649239196
-
Gen Y: who they are and how they learn
-
Black A, Gen Y. Gen Y: who they are and how they learn. Educ Horiz. 2010;88(2):92–101.
-
(2010)
Educ Horiz
, vol.88
, Issue.2
, pp. 92-101
-
-
Black, A.1
Gen, Y.2
-
17
-
-
84920281815
-
Google’s Schmidt roasted for privacy comments
-
Newman J. Google’s Schmidt roasted for privacy comments. PC World. 2009. http://www.pcworld.com/article/184446/googles_schmidt_roasted_for_privacy_comments.html. Accessed 31 May 2014.
-
(2009)
PC World
-
-
Newman, J.1
-
18
-
-
84855384842
-
Privacy no longer a social norm, says Facebook founder
-
Johnson B. Privacy no longer a social norm, says Facebook founder. The Guardian. 2010. http://www.theguardian.com/technology/2010/jan/11/facebook-privacy. Accessed 31 May 2014.
-
(2010)
The Guardian
-
-
Johnson, B.1
-
19
-
-
84920264263
-
Op-Ed: don’t let privacy concerns stifle innovation
-
Shapiro G. Op-Ed: don’t let privacy concerns stifle innovation. Nextgov.com. 2013. http://www.nextgov.com/emerging-tech/2013/06/op-ed-dont-let-privacy-concerns-stifle-innovation/65195/. Accessed 31 May 2014.
-
(2013)
Nextgov.com
-
-
Shapiro, G.1
-
20
-
-
84859922074
-
The tension between data sharing and the protection of privacy in genomics research
-
PID: 22404490, COI: 1:CAS:528:DC%2BC38XhsVGit73N
-
Kaye J. The tension between data sharing and the protection of privacy in genomics research. Annu Rev Genomics Hum Genet. 2012;13:415–31.
-
(2012)
Annu Rev Genomics Hum Genet
, vol.13
, pp. 415-431
-
-
Kaye, J.1
-
21
-
-
77956576427
-
Balancing access to health data and privacy: a review of the issues and approaches for the future
-
PID: 21054366
-
Lane J, Schur C. Balancing access to health data and privacy: a review of the issues and approaches for the future. Health Serv Res. 2010;45(5 Pt 2):1456–67.
-
(2010)
Health Serv Res
, vol.45
, Issue.5
, pp. 1456-1467
-
-
Lane, J.1
Schur, C.2
-
22
-
-
75849145988
-
Electronic health records in the age of social networks and global telecommunications
-
PID: 20124543, COI: 1:CAS:528:DC%2BC3cXhs1Oktb0%3D
-
Shachak A, Jadad AR. Electronic health records in the age of social networks and global telecommunications. JAMA. 2010;303(5):452–3.
-
(2010)
JAMA
, vol.303
, Issue.5
, pp. 452-453
-
-
Shachak, A.1
Jadad, A.R.2
-
23
-
-
84880065191
-
The ‘big data’ revolution in healthcare: accelerating value and innovation
-
Groves P, Kayyali B, Knott D, et al. The ‘big data’ revolution in healthcare: accelerating value and innovation. McKinsey & Company; 2013. http://www.mckinsey.com/insights/health_systems_and_services/the_big-data_revolution_in_us_health_care. Accessed 31 May 2014.
-
(2013)
McKinsey & Company
-
-
Groves, P.1
Kayyali, B.2
Knott, D.3
-
24
-
-
84920284387
-
-
Institute of Medicine. Best care at lower cost. The path to continuously learning health care in America. 2012. Accessed 31 May 2014
-
Institute of Medicine. Best care at lower cost. The path to continuously learning health care in America. 2012. http://www.iom.edu/~/media/Files/Report%20Files/2012/Best-Care/Best%20Care%20at%20Lower%20Cost_Recs.pdf. Accessed 31 May 2014.
-
-
-
-
25
-
-
84875646817
-
The inevitable application of big data to health care
-
PID: 23549579, COI: 1:CAS:528:DC%2BC3sXlvVSkur4%3D
-
Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309(13):1351–2.
-
(2013)
JAMA
, vol.309
, Issue.13
, pp. 1351-1352
-
-
Murdoch, T.B.1
Detsky, A.S.2
-
26
-
-
84991768872
-
The quantified self: fundamental disruption in big data science and biological discovery
-
Swan M. The quantified self: fundamental disruption in big data science and biological discovery. Big Data. 2013;1:85–99.
-
(2013)
Big Data
, vol.1
, pp. 85-99
-
-
Swan, M.1
-
27
-
-
84890462698
-
How can we get more meaning out of our data?
-
Ramirez E. How can we get more meaning out of our data? Quantified Self knowledge through numbers. 2013. http://quantifiedself.com/2013/08/how-can-we-get-more-meaning-out-of-our-data/ Accessed 31 May 2014.
-
(2013)
Quantified Self knowledge through numbers
-
-
Ramirez, E.1
-
28
-
-
84920274280
-
-
Government Accountability Office. Information resellers: consumer privacy framework needs to reflect changes in technology and the marketplace. 2013. Accessed 31 May 2014
-
Government Accountability Office. Information resellers: consumer privacy framework needs to reflect changes in technology and the marketplace. 2013. http://www.gao.gov/assets/660/658151.pdf. Accessed 31 May 2014.
-
-
-
-
29
-
-
84920278372
-
-
Dixon P, Gellman R. The scoring of America: how secret consumer scores threaten your privacy and your future. World Privacy Forum. 2014. Accessed 31 May 2014. A review of consumer scoring, describing scores and rankings created from consumer data such as for health, financial, identity and authentication
-
Dixon P, Gellman R. The scoring of America: how secret consumer scores threaten your privacy and your future. World Privacy Forum. 2014. http://www.worldprivacyforum.org/2014/04/wpf-report-the-scoring-of-america-how-secret-consumer-scores-threaten-your-privacy-and-your-future/. Accessed 31 May 2014. A review of consumer scoring, describing scores and rankings created from consumer data such as for health, financial, identity and authentication.
-
-
-
-
30
-
-
84920268160
-
-
Federal Trade Commission. Data brokers: a call for transparency and accountability. 2014. Accessed 31 May 2014
-
Federal Trade Commission. Data brokers: a call for transparency and accountability. 2014. http://www.ftc.gov/system/files/documents/reports/data-brokers-call-transparency-accountability-report-federal-trade-commission-may-2014/140527databrokerreport.pdf Accessed 31 May 2014.
-
-
-
-
31
-
-
84988918836
-
Searching the internet for health information about bipolar disorder: some cautionary issues
-
Monteith S, Glenn T, Bauer M. Searching the internet for health information about bipolar disorder: some cautionary issues. Int J Bipolar Disord. 2013;1:22.
-
(2013)
Int J Bipolar Disord
, vol.1
, pp. 22
-
-
Monteith, S.1
Glenn, T.2
Bauer, M.3
-
32
-
-
29144492869
-
In poor health: an assessment of privacy policies at direct-to-consumer web sites
-
Sheehan KB. In poor health: an assessment of privacy policies at direct-to-consumer web sites. J Public Policy Mark. 2005;24(2):273–83.
-
(2005)
J Public Policy Mark
, vol.24
, Issue.2
, pp. 273-283
-
-
Sheehan, K.B.1
-
33
-
-
84900512833
-
Prescription drug coupons: evolution and need for regulation in direct-to-consumer advertising
-
Mackey TK, Yagi N, Liang BA. Prescription drug coupons: evolution and need for regulation in direct-to-consumer advertising. Res Soc Adm Pharm. 2014;10(3):588–94.
-
(2014)
Res Soc Adm Pharm
, vol.10
, Issue.3
, pp. 588-594
-
-
Mackey, T.K.1
Yagi, N.2
Liang, B.A.3
-
34
-
-
84920278475
-
Health online
-
Fox S, Duggan M. Health online. Pew Res. 2013. http://www.pewinternet.org/Reports/2013/Health-online.aspx Accessed 31 May 2014.
-
(2013)
Pew Res
-
-
Fox, S.1
Duggan, M.2
-
35
-
-
84920286118
-
-
Krishnamurthy B, Naryshkin K, Wills C. Privacy leakage vs. protection measures: the growing disconnect. In: Web 2.0 Security and Privacy Workshop, 2011. Accessed 31 May 2014
-
Krishnamurthy B, Naryshkin K, Wills C. Privacy leakage vs. protection measures: the growing disconnect. In: Web 2.0 Security and Privacy Workshop, 2011. http://www2.research.att.com/~bala/papers/. Accessed 31 May 2014.
-
-
-
-
36
-
-
84887039257
-
Privacy threats when seeking online health information
-
PID: 23835776
-
Huesch MD. Privacy threats when seeking online health information. JAMA Intern Med. 2013;173(19):1838–9.
-
(2013)
JAMA Intern Med
, vol.173
, Issue.19
, pp. 1838-1839
-
-
Huesch, M.D.1
-
37
-
-
84920277465
-
-
Pwc. Social media “likes” healthcare: from marketing to social business. 2013. Accessed 31 May 2014
-
Pwc. Social media “likes” healthcare: from marketing to social business. 2013. www.pwc.com/us/en/health-industries/publications/health-care-social-media.jhtml. Accessed 31 May 2014.
-
-
-
-
38
-
-
84920268765
-
-
Mayer J, Mutchler P. MetaPhone: the sensitivity of telephone metadata. Accessed 31 May 2014
-
Mayer J, Mutchler P. MetaPhone: the sensitivity of telephone metadata. http://webpolicy.org/2014/03/12/metaphone-the-sensitivity-of-telephone-metadata/. Accessed 31 May 2014.
-
-
-
-
39
-
-
84920264945
-
-
Lazarus D. CVS thinks $50 is enough reward for giving up healthcare privacy. Los Angeles Times. 2013. Accessed 31 May 2014
-
Lazarus D. CVS thinks $50 is enough reward for giving up healthcare privacy. Los Angeles Times. 2013. http://www.latimes.com/business/la-fi-lazarus-20130816,0,6519110,full.column. Accessed 31 May 2014.
-
-
-
-
40
-
-
84887846472
-
They know what you’re shopping for
-
Valentino-DeVries J, Singer-Vine J. They know what you’re shopping for. Wall Str J. 2012. http://online.wsj.com/news/articles/SB10001424127887324784404578143144132736214#printMode.
-
(2012)
Wall Str J
-
-
Valentino-DeVries, J.1
Singer-Vine, J.2
-
41
-
-
84920282854
-
Protecting privacy of medical records of employees and job applicants in the digital era under the Americans with Disabilities Act
-
Tudor ML. Protecting privacy of medical records of employees and job applicants in the digital era under the Americans with Disabilities Act. North Ky Law Rev. 2013;40:635–65.
-
(2013)
North Ky Law Rev
, vol.40
, pp. 635-665
-
-
Tudor, M.L.1
-
42
-
-
84920285965
-
Offshore health record storage may pose privacy risks
-
Dickson V. Offshore health record storage may pose privacy risks. Mod Healthc. 2014. http://www.modernhealthcare.com/article/20140418/blog/304189995. Accessed 31 May 2014.
-
(2014)
Mod Healthc
-
-
Dickson, V.1
-
43
-
-
84920274431
-
Survey of publicly available state health databases
-
Hooley S, Sweeney L. Survey of publicly available state health databases. Harvard University Data Privacy Lab. 1064-1. 2013. http://privacytools.seas.harvard.edu/files/privacytools/files/1075-1.pdf.
-
(2013)
Harvard University Data Privacy Lab
-
-
Hooley, S.1
Sweeney, L.2
-
44
-
-
84895075146
-
Monitoring human health behaviour in one’s living environment: a technological review
-
PID: 24388101, Review of technologies used for behavioral monitoring
-
Lowe SA, Ólaighin G. Monitoring human health behaviour in one’s living environment: a technological review. Med Eng Phys. 2014;36(2):147–68. Review of technologies used for behavioral monitoring.
-
(2014)
Med Eng Phys
, vol.36
, Issue.2
, pp. 147-168
-
-
Lowe, S.A.1
Ólaighin, G.2
-
45
-
-
84905056311
-
Report:13K iPhone consumer health apps in 2012
-
Dolan B. Report:13K iPhone consumer health apps in 2012. MobileHealthNews. 2012. http://mobihealthnews.com/13368/report-13k-iphone-consumer-health-apps-in-2012/. Accessed 31 May 2014.
-
(2012)
MobileHealthNews
-
-
Dolan, B.1
-
46
-
-
84920281477
-
-
IMS. Patient apps for improved healthcare from novelty to mainstream. 2013. Accessed 31 May 2014
-
IMS. Patient apps for improved healthcare from novelty to mainstream. 2013. http://www.imshealth.com/portal/site/imshealth/menuitem.762a961826aad98f53c753c71ad8c22a/?vgnextoid=e0f913850c8b1410VgnVCM10000076192ca2RCRD. Accessed 31 May 2014.
-
-
-
-
47
-
-
84920280701
-
Debunking the most common myths about HIPAA
-
Landman Z. Debunking the most common myths about HIPAA. mHealthnews.com. 2013. http://www.mhealthnews.com/news/debunking-most-common-myths-about-hipaa?single-page=true. Accessed 31 May 2014.
-
(2013)
mHealthnews.com
-
-
Landman, Z.1
-
48
-
-
84920288790
-
Heart gadgets test privacy-law limits
-
Marcus AD, Weaver C. Heart gadgets test privacy-law limits. Wall Str J. 2012. http://online.wsj.com/news/articles/SB10001424052970203937004578078820874744076 Accessed 31 May 2014.
-
(2012)
Wall Str J
-
-
Marcus, A.D.1
Weaver, C.2
-
49
-
-
84920273021
-
-
Privacy Rights Clearinghouse. Technical analysis of data practices and privacy risks of 43 popular mobile health and fitness applications. 2013. Accessed 31 May 2014
-
Privacy Rights Clearinghouse. Technical analysis of data practices and privacy risks of 43 popular mobile health and fitness applications. 2013. https://www.privacyrights.org/mobile-medical-apps-privacy-technologist-research-report.pdf. Accessed 31 May 2014.
-
-
-
-
50
-
-
84920268740
-
-
President’s Council of Advisors on Science and Technology. Big data and privacy: a technological Perspective. 2014
-
President’s Council of Advisors on Science and Technology. Big data and privacy: a technological Perspective. 2014. http://www.whitehouse.gov/sites/default/files/microsites/ostp/PCAST/pcast_big_data_and_privacy_-_may_2014.pdf.
-
-
-
-
51
-
-
72249089205
-
-
Fernandez-Luque L, Elahi N, Grajales FJ. An analysis of personal medical information disclosed in youtube videos created by patients with multiple sclerosis. In: Adlassnig K-P, et al. (Eds.) Medical Informatics in a United and Healthy Europe: Proceedings of MIE 2009, the XXII International Congress of the European Federation for Medical Informatics. IOS Press; 2009. 150:292.
-
IOS Press; 2009
, vol.150
, pp. 292
-
-
Fernandez-Luque, L.1
Elahi, N.2
Grajales, F.J.3
-
52
-
-
84920278873
-
-
US Senate Committee on Commerce, Science, and Transportation. A review of the data broker industry: collection, use, and sale of consumer data for marketing purposes. 2013. A clearly written review of the data broker industry
-
US Senate Committee on Commerce, Science, and Transportation. A review of the data broker industry: collection, use, and sale of consumer data for marketing purposes. 2013. http://www.commerce.senate.gov/public/?a=Files.Serve&File_id=0d2b3642-6221-4888-a631-08f2f255b577. A clearly written review of the data broker industry.
-
-
-
-
53
-
-
85043924776
-
Data Brokers come under fresh scrutiny
-
Armour S. Data Brokers come under fresh scrutiny. Wall Str J. 2014. http://online.wsj.com/news/articles/SB10001424052702303874504579377164099831516.
-
(2014)
Wall Str J
-
-
Armour, S.1
-
54
-
-
84877770829
-
Location and tracking of mobile devices: Überveillance stalks the streets
-
A review of how mobile devices are used for location tracking
-
Michael K, Clarke R. Location and tracking of mobile devices: Überveillance stalks the streets. Comput Law Secur Rev. 2013;29(3):216–28. A review of how mobile devices are used for location tracking.
-
(2013)
Comput Law Secur Rev
, vol.29
, Issue.3
, pp. 216-228
-
-
Michael, K.1
Clarke, R.2
-
55
-
-
84920288640
-
Acxiom to create ‘master profiles’ tying offline and online data
-
Steel E. Acxiom to create ‘master profiles’ tying offline and online data. Financ Times. 2013. http://www.ft.com/cms/s/0/151d940e-2431-11e3-8905-00144feab7de.html. Accessed 31 May 2014.
-
(2013)
Financ Times
-
-
Steel, E.1
-
56
-
-
84920276727
-
-
Epsilon. Consumer data and data cards - Ailments/health. Accessed 31 May 2014
-
Epsilon. Consumer data and data cards - Ailments/health. http://lists.epsilon.com/market;jsessionid=E46C0F404A2FCB1EF6F0A24EE0DEC61A?page=research/datacard&id=91407. Accessed 31 May 2014.
-
-
-
-
57
-
-
84920266270
-
-
TargetSource. U.S. health and ailment database. Accessed 31 May 2014
-
TargetSource. U.S. health and ailment database. http://lists.nextmark.com/market;jsessionid=1E89AC694197AB78C356A7B6672FD5BA?page=order/online/datacard&id=210939. Accessed 31 May 2014.
-
-
-
-
58
-
-
84920287633
-
-
DMDatabase.com. Ailments mailing list. Accessed 31 May 2014
-
DMDatabase.com. Ailments mailing list. http://dmdatabases.com/databases/consumer-mailing-lists/ailments-lists. Accessed 31 May 2014.
-
-
-
-
59
-
-
84920267221
-
What do your consumer habits say about your health? Using third-party data to predict individual health risk and costs
-
Garla S, Hopping A, Monaco R, Rittman R. What do your consumer habits say about your health? Using third-party data to predict individual health risk and costs. SAS Institute. 2013. http://support.sas.com/resources/papers/proceedings13/170-2013.pdf.
-
(2013)
SAS Institute
-
-
Garla, S.1
Hopping, A.2
Monaco, R.3
Rittman, R.4
-
60
-
-
84920266722
-
-
Acxiom Update Newsletter. Stay current with Acxiom product and industry alerts. 2009. Accessed 31 May 2014
-
Acxiom Update Newsletter. Stay current with Acxiom product and industry alerts. 2009. http://www.mktgservices.com/marketing/newsletter/myAcxiomUpdate/0509/v1/acxiom-alerts.html. Accessed 31 May 2014.
-
-
-
-
61
-
-
84920277894
-
-
FICO. Medication adherence score. Accessed 31 May 2014
-
FICO. Medication adherence score. http://www.fico.com/en/products/fico-medication-adherence-score/. Accessed 31 May 2014.
-
-
-
-
62
-
-
84860777971
-
Insurers test data profiles to identify risky clients
-
Scism L, Maremont M. Insurers test data profiles to identify risky clients. Wall Str J. 2010. http://online.wsj.com/news/articles/SB10001424052748704648604575620750998072986. Accessed 31 May 2014.
-
(2010)
Wall Str J
-
-
Scism, L.1
Maremont, M.2
-
63
-
-
84920283755
-
-
Society of Actuaries, The Future of Preferred Underwriting:
-
Hill T. Predictive modeling in life insurance underwriting. Society of Actuaries. The Future of Preferred Underwriting. 2013. http://www.soa.org/search.aspx?searchterm=tim%20hill%202013. Accessed 31 May 2014.
-
(2013)
Predictive modeling in life insurance underwriting
-
-
Hill, T.1
-
64
-
-
84920264929
-
Study finds behaviorally-targeted ads more than twice as valuable
-
Network Advertising Initiative. Study finds behaviorally-targeted ads more than twice as valuable, twice as effective as non-targeted online ads. 2010. http://www.networkadvertising.org/pdfs/NAI_Beales_Release.pdf. Accessed 31 May 2014.
-
(2010)
twice as effective as non-targeted online ads
-
-
-
65
-
-
84920285033
-
-
Acxiom Annual Report. 2013. Accessed 31 May 2014
-
Acxiom Annual Report. 2013. http://acxiom.com/wp-content/uploads/2013/09/2013-Annual-Report.pdf. Accessed 31 May 2014.
-
-
-
-
66
-
-
84874913241
-
Major life changes and behavioral markers in social media: case of childbirth. In: Proceedings of the 2013 conference on Computer supported cooperative work
-
De Choudhury M, Counts S, Horvitz E. Major life changes and behavioral markers in social media: case of childbirth. In: Proceedings of the 2013 conference on Computer supported cooperative work. ACM; 2013. 1431–42.
-
ACM
, vol.2013
, pp. 1431-1442
-
-
De Choudhury, M.1
Counts, S.2
Horvitz, E.3
-
67
-
-
79957964415
-
CHI’11 extended abstracts on human factors in computing systems
-
Golbeck J, Robles C, Turner K. Predicting personality with social media. In: CHI’11 extended abstracts on human factors in computing systems. ACM; 2011. 253–62.
-
ACM
, vol.2011
, pp. 253-262
-
-
Golbeck, J.1
Robles, C.2
Turner, K.3
-
68
-
-
33746211547
-
Personality in cyberspace: personal Web sites as media for personality expressions and impressions
-
PID: 16784349
-
Marcus B, Machilek F, Schütz A. Personality in cyberspace: personal Web sites as media for personality expressions and impressions. J Pers Soc Psychol. 2006;90(6):1014–31.
-
(2006)
J Pers Soc Psychol
, vol.90
, Issue.6
, pp. 1014-1031
-
-
Marcus, B.1
Machilek, F.2
Schütz, A.3
-
69
-
-
84869061892
-
Personality and patterns of Facebook usage. In: Proceedings of the 3rd Annual ACM Web Science Conference
-
Bachrach Y, Kosinski M, Graepel T, et al. Personality and patterns of Facebook usage. In: Proceedings of the 3rd Annual ACM Web Science Conference. ACM; 2012. 24–32.
-
ACM
, vol.2012
, pp. 24-32
-
-
Bachrach, Y.1
Kosinski, M.2
Graepel, T.3
-
70
-
-
79959819787
-
Feeling bad on Facebook: depression disclosures by college students on a social networking site
-
PID: 21400639
-
Moreno MA, Jelenchick LA, Egan KG, et al. Feeling bad on Facebook: depression disclosures by college students on a social networking site. Depress Anxiety. 2011;28(6):447–55.
-
(2011)
Depress Anxiety
, vol.28
, Issue.6
, pp. 447-455
-
-
Moreno, M.A.1
Jelenchick, L.A.2
Egan, K.G.3
-
71
-
-
84876061994
-
Private traits and attributes are predictable from digital records of human behavior
-
PID: 23479631, COI: 1:CAS:528:DC%2BC3sXnsFKksLw%3D, Example of how a range of sensitive personal attributes can be predicted from Facebook Likes
-
Kosinski M, Stillwell D, Graepel T. Private traits and attributes are predictable from digital records of human behavior. Proc Natl Acad Sci U S A. 2013;110(15):5802–5. Example of how a range of sensitive personal attributes can be predicted from Facebook Likes.
-
(2013)
Proc Natl Acad Sci U S A
, vol.110
, Issue.15
, pp. 5802-5805
-
-
Kosinski, M.1
Stillwell, D.2
Graepel, T.3
-
72
-
-
84872395013
-
Social networking profile correlates of schizotypy
-
PID: 22796101
-
Martin EA, Bailey DH, Cicero DC, et al. Social networking profile correlates of schizotypy. Psychiatry Res. 2012;200(2–3):641–6.
-
(2012)
Psychiatry Res
, vol.200
, Issue.2-3
, pp. 641-646
-
-
Martin, E.A.1
Bailey, D.H.2
Cicero, D.C.3
-
73
-
-
84875632094
-
How companies learn your secrets
-
Duhigg C. How companies learn your secrets. New York Times 2,16,2012. http://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?ref=general&src=me&pagewanted=all&_r=0. Accessed 31 May 2014.
-
(2012)
New York Times
, vol.2
, pp. 16
-
-
Duhigg, C.1
-
74
-
-
84906345567
-
Big data and due process: toward a framework to redress predictive privacy harms
-
Crawford K, Schultz J. Big data and due process: toward a framework to redress predictive privacy harms. Boston Coll Law Rev. 2014. http://bclawreview.org/files/2014/01/03_crawford_schultz.pdf.
-
(2014)
Boston Coll Law Rev
-
-
Crawford, K.1
Schultz, J.2
-
75
-
-
84920266107
-
-
Terry N. Protecting patient privacy in the age of big data. Univ Missouri-Kansas City Law Rev. 2012;81(2)
-
Terry N. Protecting patient privacy in the age of big data. Univ Missouri-Kansas City Law Rev. 2012;81(2). http://ssrn.com/abstract=2153269.
-
-
-
-
76
-
-
84920280027
-
Data mining to recruit sick people
-
Walker J. Data mining to recruit sick people. Wall Str J. 2013. http://online.wsj.com/news/articles/SB10001424052702303722104579240140554518458. Accessed 31 May 2014.
-
(2013)
Wall Str J
-
-
Walker, J.1
-
77
-
-
85028214596
-
The commodification of patient opinion: the digital patient experience economy in the age of big data
-
Lupton D. The commodification of patient opinion: the digital patient experience economy in the age of big data. Sociol Health Illn. 2014. doi:10.1111/1467-9566.12109.
-
(2014)
Sociol Health Illn
-
-
Lupton, D.1
-
78
-
-
84882768865
-
Privacy policies for health social networking sites
-
PID: 23599228
-
Li J. Privacy policies for health social networking sites. J Am Med Inform Assoc. 2013;20(4):704–7.
-
(2013)
J Am Med Inform Assoc
, vol.20
, Issue.4
, pp. 704-707
-
-
Li, J.1
-
79
-
-
84898604274
-
Health research 2.0: the use in research of personal fitness or health data shared on social network raises both scientific and ethical concerns
-
PID: 24517912, COI: 1:CAS:528:DC%2BC2cXhtVKjur7O
-
Weigmann K. Health research 2.0: the use in research of personal fitness or health data shared on social network raises both scientific and ethical concerns. EMBO Rep. 2014;15(3):223–6.
-
(2014)
EMBO Rep
, vol.15
, Issue.3
, pp. 223-226
-
-
Weigmann, K.1
-
80
-
-
77954933618
-
Social networking applications in health care: threats to the privacy and security of health information
-
ICSE Workshop on Software Engineering in Health Care, ACM:
-
Williams J. Social networking applications in health care: threats to the privacy and security of health information. In: Proceedings of the 2010 ICSE Workshop on Software Engineering in Health Care. ACM; 2010. 39–49.
-
(2010)
Proceedings of the
, vol.2010
, pp. 39-49
-
-
Williams, J.1
-
81
-
-
33748134709
-
Advertising and disclosure of funding on patient organisation websites: a cross-sectional survey
-
PID: 16887025
-
Ball DE, Tisocki K, Herxheimer A. Advertising and disclosure of funding on patient organisation websites: a cross-sectional survey. BMC Public Health. 2006;6:201.
-
(2006)
BMC Public Health
, vol.6
, pp. 201
-
-
Ball, D.E.1
Tisocki, K.2
Herxheimer, A.3
-
82
-
-
84920277866
-
-
Treato. Treato: patient intelligence based on real-life experiences. Accessed 31 May 2014
-
Treato. Treato: patient intelligence based on real-life experiences. http://treato.com/about/. Accessed 31 May 2014.
-
-
-
-
83
-
-
84866107712
-
Privacy in the age of big data: a time for big decisions
-
Tene O, Polonetsky J. Privacy in the age of big data: a time for big decisions. Stanf Law Rev Online. 2012;64:63.
-
(2012)
Stanf Law Rev Online
, vol.64
, pp. 63
-
-
Tene, O.1
Polonetsky, J.2
-
84
-
-
84920278759
-
-
Center for Democracy and Technology. Rethinking the role of consent in protecting health information privacy. 2009. Accessed 31 May 2014
-
Center for Democracy and Technology. Rethinking the role of consent in protecting health information privacy. 2009. https://www.cdt.org/files/pdfs/20090126Consent.pdf. Accessed 31 May 2014.
-
-
-
-
85
-
-
84873934205
-
The Federal Trade Commission and consumer privacy in the coming decade
-
Turow J, Hoofnagle CJ, Mulligan DK, et al. The Federal Trade Commission and consumer privacy in the coming decade. ISJLP. 2007;3:723. http://scholarship.law.berkeley.edu/cgi/viewcontent.cgi?article=1934&context=facpubs. Accessed 31 May 2014.
-
(2007)
ISJLP
, vol.3
, pp. 723
-
-
Turow, J.1
Hoofnagle, C.J.2
Mulligan, D.K.3
-
86
-
-
84920276324
-
Social media privacy: a dozen myths and facts
-
Determann L. Social media privacy: a dozen myths and facts. Stan Tech L Rev. 2012. 7–10. http://stlr.stanford.edu/2012/07/social-media-privacy/. Accessed 31 May 2014.
-
(2012)
Stan Tech L Rev
, pp. 7-10
-
-
Determann, L.1
-
88
-
-
84876997100
-
Privacy and anonymity challenges when collecting data for public health purposes
-
PID: 23590738
-
El Emam K, Moher E. Privacy and anonymity challenges when collecting data for public health purposes. J Law Med Ethics. 2013;41 Suppl 1:37–41.
-
(2013)
J Law Med Ethics
, vol.41
, pp. 37-41
-
-
El Emam, K.1
Moher, E.2
-
90
-
-
33847749523
-
HIPAA’s effect on web site privacy policies
-
Anton A, Earp JB, Vail M, et al. HIPAA’s effect on web site privacy policies. IEEE Secur Priv. 2007;45–52.
-
(2007)
IEEE Secur Priv
, pp. 45-52
-
-
Anton, A.1
Earp, J.B.2
Vail, M.3
-
91
-
-
33845791661
-
A longitudinal assessment of online privacy notice readability
-
Milne GR, Culnan MJ, Greene H. A longitudinal assessment of online privacy notice readability. J Public Policy Mark. 2006;25(2 (Fall)):238–49.
-
(2006)
J Public Policy Mark
, vol.25
, Issue.2
, pp. 238-249
-
-
Milne, G.R.1
Culnan, M.J.2
Greene, H.3
-
92
-
-
0036310374
-
Reading level of privacy policies on Internet health Web sites
-
PID: 12160504
-
Graber MA, D’Alessandro DM, Johnson-West J. Reading level of privacy policies on Internet health Web sites. J Fam Pract. 2002;51(7):642–5.
-
(2002)
J Fam Pract
, vol.51
, Issue.7
, pp. 642-645
-
-
Graber, M.A.1
D’Alessandro, D.M.2
Johnson-West, J.3
-
94
-
-
15944363496
-
Readability of notice of privacy forms used by major health care institutions
-
PID: 15811978, COI: 1:CAS:528:DC%2BD2MXjtV2rtLY%3D
-
Breese P, Burman W. Readability of notice of privacy forms used by major health care institutions. JAMA. 2005;293(13):1593–4.
-
(2005)
JAMA
, vol.293
, Issue.13
, pp. 1593-1594
-
-
Breese, P.1
Burman, W.2
-
95
-
-
77956906996
-
Information and readability issues for psychiatric patients: e-learning for users
-
Gralton E, Sher M, Lopez CD. Information and readability issues for psychiatric patients: e-learning for users. Psychiatr Bull. 2010;34:376–80.
-
(2010)
Psychiatr Bull
, vol.34
, pp. 376-380
-
-
Gralton, E.1
Sher, M.2
Lopez, C.D.3
-
96
-
-
33845970237
-
Reading problems, psychiatric disorders, and functional impairment from mid- to late adolescence
-
PID: 17195726
-
Goldston DB, Walsh A, Mayfield Arnold E, et al. Reading problems, psychiatric disorders, and functional impairment from mid- to late adolescence. J Am Acad Child Adolesc Psychiatry. 2007;46(1):25–32.
-
(2007)
J Am Acad Child Adolesc Psychiatry
, vol.46
, Issue.1
, pp. 25-32
-
-
Goldston, D.B.1
Walsh, A.2
Mayfield Arnold, E.3
-
97
-
-
84920285837
-
Mobile privacy disclosures
-
Federal Trade Commission. Mobile privacy disclosures. Building trust through transparency. 2013. http://www.ftc.gov/sites/default/files/documents/reports/mobile-privacy-disclosures-building-trust-through-transparency-federal-trade-commission-staff-report/130201mobileprivacyreport.pdf1.
-
(2013)
Building trust through transparency
-
-
-
98
-
-
84872380171
-
Are personal health records safe? A review of free web-accessible personal health record privacy policies
-
PID: 22917868
-
Carrión Señor I, Fernández-Alemán JL, Toval A. Are personal health records safe? A review of free web-accessible personal health record privacy policies. J Med Internet Res. 2012;14(4):e114.
-
(2012)
J Med Internet Res
, vol.14
, Issue.4
, pp. e114
-
-
Carrión Señor, I.1
Fernández-Alemán, J.L.2
Toval, A.3
-
99
-
-
76149139754
-
Digital na(t)ives? variation in internet skills and uses among members of the “Net Generation
-
Hargittai E. Digital na(t)ives? variation in internet skills and uses among members of the “Net Generation”. Sociol Inq. 2010;80:92–113.
-
(2010)
Sociol Inq
, vol.80
, pp. 92-113
-
-
Hargittai, E.1
-
100
-
-
84874514970
-
Digital literacy and privacy behavior online
-
Park YJ. Digital literacy and privacy behavior online. Commun Res. 2013;40(2):215–36.
-
(2013)
Commun Res
, vol.40
, Issue.2
, pp. 215-236
-
-
Park, Y.J.1
-
101
-
-
84862112910
-
Why Johnny can’t opt out: a usability evaluation of tools to limit online behavioral advertising. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
-
Leon P, Ur B, Shay R, et al. Why Johnny can’t opt out: a usability evaluation of tools to limit online behavioral advertising. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM; 2012. 589–98.
-
ACM
, vol.2012
, pp. 589-598
-
-
Leon, P.1
Ur, B.2
Shay, R.3
-
102
-
-
84881218829
-
HIPAA turns 10
-
PID: 23781600
-
Solove DJ. HIPAA turns 10. J AHIMA. 2013;84(4):22–8.
-
(2013)
J AHIMA
, vol.84
, Issue.4
, pp. 22-28
-
-
Solove, D.J.1
-
103
-
-
84920272146
-
-
Ponemon. Fourth Annual Benchmark Study on Patient Privacy and Data Security. 2014. Accessed 31 May 2014
-
Ponemon. Fourth Annual Benchmark Study on Patient Privacy and Data Security. 2014. http://www.ponemon.org/blog/fourth-annual-benchmark-study-on-patient-privacy-and-data-security. Accessed 31 May 2014.
-
-
-
-
104
-
-
84920267005
-
HIPAA data breaches climb 138 percent
-
McCann E. HIPAA data breaches climb 138 percent. Healthcare IT News. 2014. http://www.healthcareitnews.com/news/hipaa-data-breaches-climb-138-percent.
-
(2014)
Healthcare IT News
-
-
McCann, E.1
-
105
-
-
84920279640
-
-
US Department of Health and Human Services. Breaches affecting 500 or more individuals
-
US Department of Health and Human Services. Breaches affecting 500 or more individuals. http://www.hhs.gov/ocr/privacy/hipaa/administrative/breachnotificationrule/breachtool.html.
-
-
-
-
106
-
-
84920268704
-
-
Redspin. Breach report 2013: protected health information (PHI). 2014
-
Redspin. Breach report 2013: protected health information (PHI). 2014. http://www.redspin.com/resources/whitepapers-datasheets/Request-2013-Breach-Report-Protected-Health-Information-PHI-Redspin.php.
-
-
-
-
108
-
-
84872727040
-
Medical information security
-
Figg WC, Kam HJ. Medical information security. Int J Secur (IJS). 2011;5(1):22.
-
(2011)
Int J Secur (IJS)
, vol.5
, Issue.1
, pp. 22
-
-
Figg, W.C.1
Kam, H.J.2
-
109
-
-
84920266600
-
-
KrebsonSecurity. Data broker giants hacked by id theft service. 2013. Accessed 31 May 2014
-
KrebsonSecurity. Data broker giants hacked by id theft service. 2013. http://krebsonsecurity.com/2013/09/data-broker-giants-hacked-by-id-theft-service/. Accessed 31 May 2014.
-
-
-
-
110
-
-
84920282024
-
-
ID theft nightmares continue, Inf Week:
-
Schwartz MJ. Experian breach fallout: ID theft nightmares continue. Inf Week. 2013. http://www.darkreading.com/risk-management/experian-breach-fallout-id-theft-nightmares-continue/d/d-id/1112058? Accessed 31 May 2014.
-
(2013)
Experian breach fallout
-
-
Schwartz, M.J.1
-
111
-
-
84920268261
-
Acxiom database hacked
-
Rosencrance L. Acxiom database hacked. Computerworld. 2003. http://www.computerworld.com/s/article/83854/Acxiom_database_hacked. Accessed 31 May 2014.
-
(2003)
Computerworld
-
-
Rosencrance, L.1
-
112
-
-
84920261698
-
-
Federal Trade Commission. Health privacy. Accessed 31 May 2014
-
Federal Trade Commission. Health privacy. http://www.business.ftc.gov/documents/bus56-complying-ftcs-health-breach-notification-rule. Accessed 31 May 2014.
-
-
-
-
114
-
-
84920263847
-
-
California HealthCare Foundation. Consumers and health information technology: a national survey. 2010. Accessed 31 May 2014
-
California HealthCare Foundation. Consumers and health information technology: a national survey. 2010. http://www.chcf.org/publications/2010/04/consumers-and-health-information-technology-a-national-survey. Accessed 31 May 2014.
-
-
-
-
115
-
-
84920275061
-
-
California HealthCare Foundation. National consumer health privacy survey. 2005. Accessed 31 May 2014
-
California HealthCare Foundation. National consumer health privacy survey. 2005. http://www.chcf.org/~/media/MEDIA%20LIBRARY%20Files/PDF/C/PDF%20ConsumerPrivacy2005ExecSum.pdf Accessed 31 May 2014.
-
-
-
-
116
-
-
84871907503
-
Consumer experience with and attitudes toward health information technology: a nationwide survey
-
PID: 22847306
-
Ancker JS, Silver M, Miller MC, et al. Consumer experience with and attitudes toward health information technology: a nationwide survey. J Am Med Inform Assoc. 2013;20(1):152–6.
-
(2013)
J Am Med Inform Assoc
, vol.20
, Issue.1
, pp. 152-156
-
-
Ancker, J.S.1
Silver, M.2
Miller, M.C.3
-
117
-
-
84920273804
-
-
National Partnership for Women and Families. Making IT meaningful: how consumers value and trust health IT. 2012
-
National Partnership for Women and Families. Making IT meaningful: how consumers value and trust health IT. 2012. http://go.nationalpartnership.org/site/DocServer/HIT_Making_IT_Meaningful_National_Partnership_February_2.pdf.
-
-
-
-
118
-
-
84920277732
-
-
Westin AF. Institute of Medicine project survey findings on health research and privacy. 2007. Accessed 31 May 2014
-
Westin AF. Institute of Medicine project survey findings on health research and privacy. 2007. http://www.iom.edu/~/media/Files/Activity%20Files/Research/HIPAAandResearch/AlanWestinIOMsrvyRept.ashx. Accessed 31 May 2014.
-
-
-
-
119
-
-
84920264221
-
-
Employee Benefit Research Institute. Health confidence survey. 2008. Accessed 31 May 2014
-
Employee Benefit Research Institute. Health confidence survey. 2008. http://www.ebri.org/publications/notes/index.cfm?fa=notesDisp&content_id=3987. Accessed 31 May 2014.
-
-
-
-
120
-
-
84920269633
-
-
Markle. Survey finds Americans want electronic personal health information to improve own health care. 2006. Accessed 31 May 2014
-
Markle. Survey finds Americans want electronic personal health information to improve own health care. 2006. http://www.markle.org/publications/1214-survey-finds-americans-want-electronic-personal-health-information-improve-own-hea. Accessed 31 May 2014.
-
-
-
-
122
-
-
84894100692
-
Concern about security and privacy, and perceived control over collection and use of health information are related to withholding of health information from healthcare providers
-
PID: 23975624
-
Agaku IT, Adisa AO, Ayo-Yusuf OA, et al. Concern about security and privacy, and perceived control over collection and use of health information are related to withholding of health information from healthcare providers. J Am Med Inform Assoc. 2014;21(2):374–8.
-
(2014)
J Am Med Inform Assoc
, vol.21
, Issue.2
, pp. 374-378
-
-
Agaku, I.T.1
Adisa, A.O.2
Ayo-Yusuf, O.A.3
-
123
-
-
84920260786
-
-
NPR/Kaiser Family Foundation. The public and the health care delivery system. 2009. Accessed 31 May 2014
-
NPR/Kaiser Family Foundation. The public and the health care delivery system. 2009. http://www.npr.org/documents/2009/apr/nprpoll_topline.pdf. Accessed 31 May 2014.
-
-
-
-
124
-
-
84920261986
-
-
Fair Warning. How privacy considerations drive patient decisions and impact patient care outcomes. 2011
-
Fair Warning. How privacy considerations drive patient decisions and impact patient care outcomes. 2011. http://www.fairwarning.com/whitepapers/2011-09-WP-US-PATIENT-SURVEY.pdf.
-
-
-
-
125
-
-
84920261318
-
Fear of data theft blunts public acceptance of EHRS
-
Lowes R. Fear of data theft blunts public acceptance of EHRS. Medscape. 2012. http://www.medscape.com/viewarticle/769778.
-
(2012)
Medscape
-
-
Lowes, R.1
-
126
-
-
0242362742
-
Patients’ concerns about and perceptions of electronic psychiatric records
-
PID: 14600316
-
Flynn HA, Marcus SM, Kerber K, et al. Patients’ concerns about and perceptions of electronic psychiatric records. Psychiatr Serv. 2003;54(11):1539–41.
-
(2003)
Psychiatr Serv
, vol.54
, Issue.11
, pp. 1539-1541
-
-
Flynn, H.A.1
Marcus, S.M.2
Kerber, K.3
-
127
-
-
84920270982
-
Health care providers’ role in protecting EHRs: implications for consumer support of EHRs
-
Office of National Coordinator for HIT. Health care providers’ role in protecting EHRs: implications for consumer support of EHRs, HIE and patient-provider communication. 2014. http://www.healthit.gov/sites/default/files/022414_hit_attitudesaboutprivacydatabrief.pdf.
-
(2014)
HIE and patient-provider communication
-
-
-
128
-
-
0042631503
-
Patient perspectives of medical confidentiality: a review of the literature
-
PID: 12911650
-
Sankar P, Moran S, Merz JF, et al. Patient perspectives of medical confidentiality: a review of the literature. J Gen Intern Med. 2003;18:659–69.
-
(2003)
J Gen Intern Med
, vol.18
, pp. 659-669
-
-
Sankar, P.1
Moran, S.2
Merz, J.F.3
|