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Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship
BACKGROUND: We propose a novel framework for management of cancer survivorship: electronic patient Self-Assessment and Management (SAM). SAM is a framework for transfer of information to and from patients in such a way as to increase both the patient's and the health care provider's unders...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2893444/ https://www.ncbi.nlm.nih.gov/pubmed/20565745 http://dx.doi.org/10.1186/1472-6947-10-34 |
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author | Vickers, Andrew J Salz, Talya Basch, Ethan Cooperberg, Matthew R Carroll, Peter R Tighe, Foss Eastham, James Rosen, Raymond C |
author_facet | Vickers, Andrew J Salz, Talya Basch, Ethan Cooperberg, Matthew R Carroll, Peter R Tighe, Foss Eastham, James Rosen, Raymond C |
author_sort | Vickers, Andrew J |
collection | PubMed |
description | BACKGROUND: We propose a novel framework for management of cancer survivorship: electronic patient Self-Assessment and Management (SAM). SAM is a framework for transfer of information to and from patients in such a way as to increase both the patient's and the health care provider's understanding of the patient's progress, and to help ensure that patient care follows best practice. METHODS: Patients who participate in the SAM system are contacted by email at regular intervals and asked to complete validated questionnaires online. Patient responses on these questionnaires are then analyzed in order to provide patients with real-time, online information about their progress and to provide them with tailored and standardized medical advice. Patient-level data from the questionnaires are ported in real time to the patient's health care provider to be uploaded to clinic notes. An initial version of SAM has been developed at Memorial Sloan-Kettering Cancer Center (MSKCC) and the University of California, San Francisco (UCSF) for aiding the clinical management of patients after surgery for prostate cancer. RESULTS: Pilot testing at MSKCC and UCSF suggests that implementation of SAM systems are feasible, with no major problems with compliance (> 70% response rate) or security. CONCLUSION: SAM is a conceptually simple framework for passing information to and from patients in such a way as to increase both the patient's and the health care provider's understanding of the patient's progress, and to help ensure that patient care follows best practice. |
format | Text |
id | pubmed-2893444 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28934442010-06-30 Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship Vickers, Andrew J Salz, Talya Basch, Ethan Cooperberg, Matthew R Carroll, Peter R Tighe, Foss Eastham, James Rosen, Raymond C BMC Med Inform Decis Mak Correspondence BACKGROUND: We propose a novel framework for management of cancer survivorship: electronic patient Self-Assessment and Management (SAM). SAM is a framework for transfer of information to and from patients in such a way as to increase both the patient's and the health care provider's understanding of the patient's progress, and to help ensure that patient care follows best practice. METHODS: Patients who participate in the SAM system are contacted by email at regular intervals and asked to complete validated questionnaires online. Patient responses on these questionnaires are then analyzed in order to provide patients with real-time, online information about their progress and to provide them with tailored and standardized medical advice. Patient-level data from the questionnaires are ported in real time to the patient's health care provider to be uploaded to clinic notes. An initial version of SAM has been developed at Memorial Sloan-Kettering Cancer Center (MSKCC) and the University of California, San Francisco (UCSF) for aiding the clinical management of patients after surgery for prostate cancer. RESULTS: Pilot testing at MSKCC and UCSF suggests that implementation of SAM systems are feasible, with no major problems with compliance (> 70% response rate) or security. CONCLUSION: SAM is a conceptually simple framework for passing information to and from patients in such a way as to increase both the patient's and the health care provider's understanding of the patient's progress, and to help ensure that patient care follows best practice. BioMed Central 2010-06-17 /pmc/articles/PMC2893444/ /pubmed/20565745 http://dx.doi.org/10.1186/1472-6947-10-34 Text en Copyright ©2010 Vickers et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Correspondence Vickers, Andrew J Salz, Talya Basch, Ethan Cooperberg, Matthew R Carroll, Peter R Tighe, Foss Eastham, James Rosen, Raymond C Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship |
title | Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship |
title_full | Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship |
title_fullStr | Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship |
title_full_unstemmed | Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship |
title_short | Electronic patient self-assessment and management (SAM): a novel framework for cancer survivorship |
title_sort | electronic patient self-assessment and management (sam): a novel framework for cancer survivorship |
topic | Correspondence |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2893444/ https://www.ncbi.nlm.nih.gov/pubmed/20565745 http://dx.doi.org/10.1186/1472-6947-10-34 |
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