Literature DB >> 19775330

Electronic health records and the management of women at high risk of hereditary breast and ovarian cancer.

Brian Drohan1, Elissa M Ozanne, Kevin S Hughes.   

Abstract

Currently, management strategies exist that can decrease the morbidity and mortality associated with having a BRCA1 or BRCA2 mutation. Unfortunately, the task of identifying these patients at high risk is a daunting challenge. This problem is intensified because Electronic Health Records (EHRs) today lack the functionality needed to identify these women and to manage those women once they have been identified. Numerous niche software programs have been developed to fill this gap. Unfortunately, these extremely valuable niche programs are prevented from being interoperable with the EHRs, on the premise that each EHR vendor will build their own programs. Effectively, in our efforts to adopt EHRs, we have lost sight of the fact that they can only have a major impact on quality of care if they contain structured data and if they interact with robust Clinical Decision Support (CDS) tools. We are at a cross roads in the development of the health care Information Technology infrastructure. We can choose a path where each EHR vendor develops each CDS module independently. Alternatively, we can choose a path where experts in each field develop external niche software modules that are interoperable with any EHR vendor. We believe that the modular approach to development of niche software programs that are interoperable with current EHRs will markedly increase the speed at which useful and functional EHRs that improve quality of care become a reality. Thus, in order to realize the benefits of CDS, we suggest vendors develop means to become interoperable with external modular niche programs.

Entities:  

Mesh:

Year:  2009        PMID: 19775330     DOI: 10.1111/j.1524-4741.2009.00796.x

Source DB:  PubMed          Journal:  Breast J        ISSN: 1075-122X            Impact factor:   2.431


  10 in total

1.  American Society of Clinical Oncology Expert Statement: collection and use of a cancer family history for oncology providers.

Authors:  Karen H Lu; Marie E Wood; Molly Daniels; Cathy Burke; James Ford; Noah D Kauff; Wendy Kohlmann; Noralane M Lindor; Therese M Mulvey; Linda Robinson; Wendy S Rubinstein; Elena M Stoffel; Carrie Snyder; Sapna Syngal; Janette K Merrill; Dana Swartzberg Wollins; Kevin S Hughes
Journal:  J Clin Oncol       Date:  2014-02-03       Impact factor: 44.544

2.  A two-stage approach to genetic risk assessment in primary care.

Authors:  Swati Biswas; Philamer Atienza; Jonathan Chipman; Amanda L Blackford; Banu Arun; Kevin Hughes; Giovanni Parmigiani
Journal:  Breast Cancer Res Treat       Date:  2016-01-19       Impact factor: 4.872

Review 3.  Genetics, genomics, and cancer risk assessment: State of the Art and Future Directions in the Era of Personalized Medicine.

Authors:  Jeffrey N Weitzel; Kathleen R Blazer; Deborah J MacDonald; Julie O Culver; Kenneth Offit
Journal:  CA Cancer J Clin       Date:  2011-08-19       Impact factor: 508.702

4.  Bias in the reporting of family history: implications for clinical care.

Authors:  Elissa M Ozanne; Adrienne O'Connell; Colleen Bouzan; Phil Bosinoff; Taryn Rourke; Dana Dowd; Brian Drohan; Fred Millham; Pat Griffin; Elkan F Halpern; Alan Semine; Kevin S Hughes
Journal:  J Genet Couns       Date:  2012-01-12       Impact factor: 2.537

Review 5.  Genetic risk assessments in individuals at high risk for inherited breast cancer in the breast oncology care setting.

Authors:  Tuya Pal; Susan T Vadaparampil
Journal:  Cancer Control       Date:  2012-10       Impact factor: 3.302

6.  An information-centric framework for designing patient-centered medical decision aids and risk communication.

Authors:  Lyndsey Franklin; Catherine Plaisant; Ben Shneiderman
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

7.  Self administered screening for hereditary cancers in conjunction with mammography and ultrasound.

Authors:  Charles H McDonnell; David J Seidenwurm; Diana E McDonnell; Kristie A Bobolis
Journal:  Fam Cancer       Date:  2013-12       Impact factor: 2.375

8.  Simplifying clinical use of the genetic risk prediction model BRCAPRO.

Authors:  Swati Biswas; Philamer Atienza; Jonathan Chipman; Kevin Hughes; Angelica M Gutierrez Barrera; Christopher I Amos; Banu Arun; Giovanni Parmigiani
Journal:  Breast Cancer Res Treat       Date:  2013-05-21       Impact factor: 4.872

9.  A proposed clinical decision support architecture capable of supporting whole genome sequence information.

Authors:  Brandon M Welch; Salvador Rodriguez Loya; Karen Eilbeck; Kensaku Kawamoto
Journal:  J Pers Med       Date:  2014-04-04

10.  The need for clinical decision support integrated with the electronic health record for the clinical application of whole genome sequencing information.

Authors:  Brandon M Welch; Kensaku Kawamoto
Journal:  J Pers Med       Date:  2013-12-18
  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.