Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Christy Dye"'
Autor:
Julia Ivanova, Tianyu Tang, Nassim Idouraine, Anita Murcko, Mary Jo Whitfield, Christy Dye, Darwyn Chern, Adela Grando
Publikováno v:
JMIR Mental Health, Vol 9, Iss 4, p e18792 (2022)
BackgroundPatient-directed selection and sharing of health information “granules” is known as granular information sharing. In a previous study, patients with behavioral health conditions categorized their own health information into sensitive ca
Externí odkaz:
https://doaj.org/article/367237f04bc4498f844f7e1173bf7710
Autor:
Julia Ivanova, Tianyu Tang, Nassim Idouraine, Anita Murcko, Mary Jo Whitfield, Christy Dye, Darwyn Chern, Adela Grando
Publikováno v:
JMIR Mental Health, Vol 9, Iss 4, p e21208 (2022)
BackgroundPatient-controlled granular information sharing (PC-GIS) allows a patient to select specific health information “granules,” such as diagnoses and medications; choose with whom the information is shared; and decide how the information ca
Externí odkaz:
https://doaj.org/article/4d099a85ae6a4e7aa8318c64287476ec
Autor:
Julia Ivanova, Adela Grando, Darwyn Chern, Christy Dye, Mary Jo Whitfield, Hiral C. Soni, Anita C. Murcko
Publikováno v:
Health informatics journal. 27(2)
This pilot study compares medical record data sensitivity (e.g., depression is sensitive) and categorization perspective (e.g., depression categorized as mental health information) of patients with behavioral health conditions and healthcare provider
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::39a2eb9002edef1584ed6be3977f8e21
https://pubmed.ncbi.nlm.nih.gov/33878989
https://pubmed.ncbi.nlm.nih.gov/33878989
Autor:
Anita C. Murcko, Adela Grando, Christy Dye, Mary Jo Whitfield, Darwyn Chern, Julia Ivanova, Tianyu Tang, Nassim Idouraine
Publikováno v:
JMIR Mental Health. 9:e21208
Background Patient-controlled granular information sharing (PC-GIS) allows a patient to select specific health information “granules,” such as diagnoses and medications; choose with whom the information is shared; and decide how the information c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e89358615ad09f1487cd9f3b1361e5e1
https://doi.org/10.2196/21208
https://doi.org/10.2196/21208
Autor:
Christy Dye, Mary Jo Whitfield, Darwyn Chern, Julia Ivanova, Nassim Idouraine, Adela Grando, Anita C. Murcko, Tianyu Tang
Publikováno v:
JMIR Mental Health. 9:e18792
Background Patient-directed selection and sharing of health information “granules” is known as granular information sharing. In a previous study, patients with behavioral health conditions categorized their own health information into sensitive c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae6f1d3f0eccff604e61a2f687e0fecb
https://doi.org/10.2196/18792
https://doi.org/10.2196/18792
Autor:
Julia Ivanova, Tianyu Tang, Nassim Idouraine, Anita Murcko, Mary Jo Whitfield, Christy Dye, Darwyn Chern, Adela Grando
BACKGROUND Patient-controlled granular information sharing (PC-GIS) allows a patient to select specific health information “granules,” such as diagnoses and medications; choose with whom the information is shared; and decide how the information c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bbe6515d5b6371937c7920739d7861e0
https://doi.org/10.2196/preprints.21208
https://doi.org/10.2196/preprints.21208
Autor:
Hiral C. Soni, David R. Kaufman, Darwyn Chern, Julia Ivanova, Jonathan Maupin, Christy Dye, Mary Jo Whitfield, Anita C. Murcko, Adela Grando, Megan Hiestand, Michael J. Saks
Publikováno v:
Health informatics journal. 26(3)
This study explores behavioral health professionals’ perceptions of granular data. Semi-structured in-person interviews of 20 health professionals were conducted at two different sites. Qualitative and quantitative analysis was performed. While mos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77ade910c36e4f624ac9791436db3344
https://pubmed.ncbi.nlm.nih.gov/31928295
https://pubmed.ncbi.nlm.nih.gov/31928295
Autor:
Mike Mote, Anita C. Murcko, Christy Dye, Mary Jo Whitfield, Hiral C. Soni, Nassim Idouraine, Davide Sottara, Ripudaman Singh, Darwyn Chern, Tianyu Tang, Michael J. Todd, Adela Grando
Publikováno v:
Int J Med Inform
BACKGROUND: Consent2Share (C2S) is an open source software created by the Office of the National Coordinator Data Segmentation for Privacy initiative to support electronic health record (EHR) granular segmentation. To date, there are no published for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3eb55106f3a89d792b43de966443a4f3
https://pubmed.ncbi.nlm.nih.gov/32278288
https://pubmed.ncbi.nlm.nih.gov/32278288
Autor:
Patricia Davis, Richard R. Sharp, Neda Hassanzadeh, Megan Hiestand, Michael J. Saks, Darwyn Chern, Christy Dye, Srividya Mahankali, María Adela Grando, Laura Young, Michael Zent, Anita C. Murcko
Publikováno v:
Journal of Law, Medicine & Ethics. 45:238-259
A main objective of this study is to assess the opinions of 50 behavioral health patients on selective control over their behavioral and physical health information. We explored patients' preferences regarding current consent models, what health info
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::00bcaef3d717b54350ecb0ac5bd62854
https://doi.org/10.1177/1073110517720653
https://doi.org/10.1177/1073110517720653
Autor:
Marcela P, Aliste, Adela, Grando, Anita, Murcko, Hiral, Soni, Michael, Todd, Madhumita, Mukundan, Michael, Saks, Caroline, Horrow, Richard, Sharp, Christy, Dye, Darwyn, Chern, Mary Jo, Whitfield, Mark, Callesen
Publikováno v:
Studies in health technology and informatics. 264
We piloted a Spanish and English survey on data privacy. Thirty-one Latino behavioral health patients completed the survey in person with a preference for paper (78%) over electronic questionnaire. Dialect variations across Latino countries and the l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::c3f83d4798a13f59b6b03a819d905f9c
https://pubmed.ncbi.nlm.nih.gov/31438393
https://pubmed.ncbi.nlm.nih.gov/31438393