Literature DB >> 25980016

Building Data Infrastructure to Evaluate and Improve Quality: PCORnet.

Douglas A Corley1, Heather Spencer Feigelson2, Tracy A Lieu2, Elizabeth A McGlynn2.   

Abstract

Mesh：

Year:  2015        PMID： 25980016      PMCID： PMC4438109          DOI： 10.1200/JOP.2014.003194

Source DB:  PubMed          Journal:  J Oncol Pract        ISSN： 1554-7477            Impact factor:   3.840


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  3 in total

1.  Adenoma detection rate and risk of colorectal cancer and death.

Authors:  Douglas A Corley; Theodore R Levin; Chyke A Doubeni
Journal:  N Engl J Med       Date:  2014-06-26       Impact factor: 91.245

2.  Variation of adenoma prevalence by age, sex, race, and colon location in a large population: implications for screening and quality programs.

Authors:  Douglas A Corley; Christopher D Jensen; Amy R Marks; Wei K Zhao; Jolanda de Boer; Theodore R Levin; Chyke Doubeni; Bruce H Fireman; Charles P Quesenberry
Journal:  Clin Gastroenterol Hepatol       Date:  2012-09-14       Impact factor: 11.382

3.  The HMO Research Network Virtual Data Warehouse: A Public Data Model to Support Collaboration.

Authors:  Tyler R Ross; Daniel Ng; Jeffrey S Brown; Roy Pardee; Mark C Hornbrook; Gene Hart; John F Steiner
Journal:  EGEMS (Wash DC)       Date:  2014-03-24
  3 in total
  33 in total

1.  Optimizing patient-reported outcome and risk factor reporting from cancer survivors: a randomized trial of four different survey methods among colorectal cancer survivors.

Authors:  Heather Spencer Feigelson; Carmit K McMullen; Sarah Madrid; Andrew T Sterrett; J David Powers; Erica Blum-Barnett; Pamala A Pawloski; Jeanette Y Ziegenfuss; Virginia P Quinn; David E Arterburn; Douglas A Corley
Journal:  J Cancer Surviv       Date:  2017-01-13       Impact factor: 4.442

2.  Data linkages between patient-powered research networks and health plans: a foundation for collaborative research.

Authors:  Abiy Agiro; Xiaoxue Chen; Biruk Eshete; Rebecca Sutphen; Elizabeth Bourquardez Clark; Cristina M Burroughs; W Benjamin Nowell; Jeffrey R Curtis; Sara Loud; Robert McBurney; Peter A Merkel; Antoine G Sreih; Kalen Young; Kevin Haynes
Journal:  J Am Med Inform Assoc       Date:  2019-07-01       Impact factor: 4.497

3.  The importance of health insurance claims data in creating learning health systems: evaluating care for high-need high-cost patients using the National Patient-Centered Clinical Research Network (PCORNet).

Authors:  Maureen A Smith; Mary S Vaughan-Sarrazin; Menggang Yu; Xinyi Wang; Peter A Nordby; Christine Vogeli; Jonathan Jaffery; Joshua P Metlay
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

4.  Identifying and characterizing cancer survivors in the US primary care safety net.

Authors:  Megan Hoopes; Teresa Schmidt; Nathalie Huguet; Kerri Winters-Stone; Heather Angier; Miguel Marino; Jackilen Shannon; Jennifer DeVoe
Journal:  Cancer       Date:  2019-06-07       Impact factor: 6.860

5.  Development of an algorithm to link electronic health record prescriptions with pharmacy dispense claims.

Authors:  Megan Hoopes; Heather Angier; Lewis A Raynor; Andrew Suchocki; John Muench; Miguel Marino; Pedro Rivera; Nathalie Huguet
Journal:  J Am Med Inform Assoc       Date:  2018-10-01       Impact factor: 4.497

Review 6.  Secondary Use and Analysis of Big Data Collected for Patient Care.

Authors:  F J Martin-Sanchez; V Aguiar-Pulido; G H Lopez-Campos; N Peek; L Sacchi
Journal:  Yearb Med Inform       Date:  2017-09-11

7.  Validation of an algorithm for identifying type 1 diabetes in adults based on electronic health record data.

Authors:  Emily B Schroeder; William T Donahoo; Glenn K Goodrich; Marsha A Raebel
Journal:  Pharmacoepidemiol Drug Saf       Date:  2018-01-02       Impact factor: 2.890

8.  Using UMLS for electronic health data standardization and database design.

Authors:  Andrew P Reimer; Alex Milinovich
Journal:  J Am Med Inform Assoc       Date:  2020-10-01       Impact factor: 4.497

9.  Identifying Patients With High Data Completeness to Improve Validity of Comparative Effectiveness Research in Electronic Health Records Data.

Authors:  Kueiyu Joshua Lin; Daniel E Singer; Robert J Glynn; Shawn N Murphy; Joyce Lii; Sebastian Schneeweiss
Journal:  Clin Pharmacol Ther       Date:  2017-10-10       Impact factor: 6.875

10.  A computable phenotype for asthma case identification in adult and pediatric patients: External validation in the Chicago Area Patient-Outcomes Research Network (CAPriCORN).

Authors:  Majid Afshar; Valerie G Press; Rachel G Robison; Abel N Kho; Sindhura Bandi; Ashvini Biswas; Pedro C Avila; Harsha Vardhan Madan Kumar; Byung Yu; Edward T Naureckas; Sharmilee M Nyenhuis; Christopher D Codispoti
Journal:  J Asthma       Date:  2017-11-10       Impact factor: 2.515
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