Literature DB >> 22948276

Leveraging EHR data for outcomes and comparative effectiveness research in oncology.

Frank J Manion1, Marcelline R Harris, Ayse G Buyuktur, Patricia M Clark, Lawrence C An, David A Hanauer.   

Abstract

Along with the increasing adoption of electronic health records (EHRs) are expectations that data collected within EHRs will be readily available for outcomes and comparative effectiveness research. Yet the ability to effectively share and reuse data depends on implementing and configuring EHRs with these goals in mind from the beginning. Data sharing and integration must be planned both locally as well as nationally. The rich data transmission and semantic infrastructure developed by the National Cancer Institute (NCI) for research provides an excellent example of moving beyond paper-based paradigms and exploiting the power of semantically robust, network-based systems, and engaging both domain and informatics expertise. Similar efforts are required to address current challenges in sharing EHR data.

Entities:  

Mesh:

Year:  2012        PMID: 22948276      PMCID: PMC3490017          DOI: 10.1007/s11912-012-0272-6

Source DB:  PubMed          Journal:  Curr Oncol Rep        ISSN: 1523-3790            Impact factor:   5.075


  25 in total

1.  Natural language processing and the oncologic history: is there a match?

Authors:  Jeremy L Warner; Peter Anick; Pengyu Hong; Nianwen Xue
Journal:  J Oncol Pract       Date:  2011-07       Impact factor: 3.840

2.  The Electronic Data Methods (EDM) forum for comparative effectiveness research (CER).

Authors:  Erin Holve; Courtney Segal; Marianne Hamilton Lopez; Alison Rein; Beth H Johnson
Journal:  Med Care       Date:  2012-07       Impact factor: 2.983

3.  Future developments of medical informatics from the viewpoint of networked clinical research. Interoperability and integration.

Authors:  C Ohmann; W Kuchinke
Journal:  Methods Inf Med       Date:  2009       Impact factor: 2.176

4.  Handling anticipated exceptions in clinical care: investigating clinician use of 'exit strategies' in an electronic health records system.

Authors:  Kai Zheng; David A Hanauer; Rema Padman; Michael P Johnson; Anwar A Hussain; Wen Ye; Xiaomu Zhou; Herbert S Diamond
Journal:  J Am Med Inform Assoc       Date:  2011-06-14       Impact factor: 4.497

Review 5.  Natural language processing: an introduction.

Authors:  Prakash M Nadkarni; Lucila Ohno-Machado; Wendy W Chapman
Journal:  J Am Med Inform Assoc       Date:  2011 Sep-Oct       Impact factor: 4.497

6.  Identifying in-hospital venous thromboembolism (VTE): a comparison of claims-based approaches with the Rochester Epidemiology Project VTE cohort.

Authors:  Cynthia L Leibson; Jack Needleman; Peter Buerhaus; John A Heit; L Joseph Melton; James M Naessens; Kent R Bailey; Tanya M Petterson; Jeanine E Ransom; Marcelline R Harris
Journal:  Med Care       Date:  2008-02       Impact factor: 2.983

7.  The Cancer Biomedical Informatics Grid (caBIG): infrastructure and applications for a worldwide research community.

Authors: 
Journal:  Stud Health Technol Inform       Date:  2007

8.  Use of electronic medical records in oncology outcomes research.

Authors:  Gena Kanas; Libby Morimoto; Fionna Mowat; Cynthia O'Malley; Jon Fryzek; Robert Nordyke
Journal:  Clinicoecon Outcomes Res       Date:  2010-02-24

9.  Validity of electronic health record-derived quality measurement for performance monitoring.

Authors:  Amanda Parsons; Colleen McCullough; Jason Wang; Sarah Shih
Journal:  J Am Med Inform Assoc       Date:  2012-01-16       Impact factor: 4.497

10.  The development of common data elements for a multi-institute prostate cancer tissue bank: the Cooperative Prostate Cancer Tissue Resource (CPCTR) experience.

Authors:  Ashokkumar A Patel; André Kajdacsy-Balla; Jules J Berman; Maarten Bosland; Milton W Datta; Rajiv Dhir; John Gilbertson; Jonathan Melamed; Jan Orenstein; Kuei-Fang Tai; Michael J Becich
Journal:  BMC Cancer       Date:  2005-08-21       Impact factor: 4.430

View more
  12 in total

1.  Development of reusable logic for determination of statin exposure-time from electronic health records.

Authors:  Aaron W Miller; Catherine A McCarty; Ulrich Broeckel; Vangelis Hytopoulos; Deanna S Cross
Journal:  J Biomed Inform       Date:  2014-03-15       Impact factor: 6.317

2.  Developing an Algorithm to Detect Early Childhood Obesity in Two Tertiary Pediatric Medical Centers.

Authors:  Todd Lingren; Vidhu Thaker; Cassandra Brady; Bahram Namjou; Stephanie Kennebeck; Jonathan Bickel; Nandan Patibandla; Yizhao Ni; Sara L Van Driest; Lixin Chen; Ashton Roach; Beth Cobb; Jacqueline Kirby; Josh Denny; Lisa Bailey-Davis; Marc S Williams; Keith Marsolo; Imre Solti; Ingrid A Holm; John Harley; Isaac S Kohane; Guergana Savova; Nancy Crimmins
Journal:  Appl Clin Inform       Date:  2016-07-20       Impact factor: 2.342

3.  Linking electronic health records to better understand breast cancer patient pathways within and between two health systems.

Authors:  Caroline A Thompson; Allison W Kurian; Harold S Luft
Journal:  EGEMS (Wash DC)       Date:  2015-03-04

4.  Natural language processing and recurrent network models for identifying genomic mutation-associated cancer treatment change from patient progress notes.

Authors:  Meijian Guan; Samuel Cho; Robin Petro; Wei Zhang; Boris Pasche; Umit Topaloglu
Journal:  JAMIA Open       Date:  2019-01-03

5.  Relevant Word Order Vectorization for Improved Natural Language Processing in Electronic Health Records.

Authors:  Jeffrey Thompson; Jinxiang Hu; Dinesh Pal Mudaranthakam; David Streeter; Lisa Neums; Michele Park; Devin C Koestler; Byron Gajewski; Roy Jensen; Matthew S Mayo
Journal:  Sci Rep       Date:  2019-06-25       Impact factor: 4.379

6.  The Effectiveness of Multitask Learning for Phenotyping with Electronic Health Records Data.

Authors:  Daisy Yi Ding; Chloé Simpson; Stephen Pfohl; Dave C Kale; Kenneth Jung; Nigam H Shah
Journal:  Pac Symp Biocomput       Date:  2019

7.  Community-level determinants of obesity: harnessing the power of electronic health records for retrospective data analysis.

Authors:  Caryn Roth; Randi E Foraker; Philip R O Payne; Peter J Embi
Journal:  BMC Med Inform Decis Mak       Date:  2014-05-08       Impact factor: 2.796

8.  The Camden & Islington Research Database: Using electronic mental health records for research.

Authors:  Nomi Werbeloff; David P J Osborn; Rashmi Patel; Matthew Taylor; Robert Stewart; Matthew Broadbent; Joseph F Hayes
Journal:  PLoS One       Date:  2018-01-29       Impact factor: 3.240

9.  Mapping Multi-Site Clinic Workflows to Design Systems-Enabled Interventions.

Authors:  Gloria D Coronado; Sally Retecki; Amanda F Petrik; Jennifer Coury; Josue Aguirre; Stephen H Taplin; Tim Burdick; Beverly B Green
Journal:  EGEMS (Wash DC)       Date:  2017-06-14

Review 10.  Diabetes and the direct secondary use of electronic health records: Using routinely collected and stored data to drive research and understanding.

Authors:  Tim Robbins; Sarah N Lim Choi Keung; Sailesh Sankar; Harpal Randeva; Theodoros N Arvanitis
Journal:  Digit Health       Date:  2018-10-08
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.