Literature DB >> 18308990

The Clinical Outcomes Assessment Toolkit: a framework to support automated clinical records-based outcomes assessment and performance measurement research.

Leonard W D'Avolio1, Alex A T Bui.   

Abstract

The Clinical Outcomes Assessment Toolkit (COAT) was created through a collaboration between the University of California, Los Angeles and Brigham and Women's Hospital to address the challenge of gathering, formatting, and abstracting data for clinical outcomes and performance measurement research. COAT provides a framework for the development of information pipelines to transform clinical data from its original structured, semi-structured, and unstructured forms to a standardized format amenable to statistical analysis. This system includes a collection of clinical data structures, reusable utilities for information analysis and transformation, and a graphical user interface through which pipelines can be controlled and their results audited by nontechnical users. The COAT architecture is presented, as well as two case studies of current implementations in the domain of prostate cancer outcomes assessment.

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Year:  2008        PMID: 18308990      PMCID: PMC2410004          DOI: 10.1197/jamia.M2550

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  33 in total

1.  The contextual nature of medical information.

Authors:  M Berg; E Goorman
Journal:  Int J Med Inform       Date:  1999-12       Impact factor: 4.046

2.  Updated protocol for the examination of specimens from patients with carcinomas of the prostate gland: a basis for checklists. Cancer Committee.

Authors:  J R Srigley; M B Amin; D G Bostwick; D J Grignon; M E Hammond
Journal:  Arch Pathol Lab Med       Date:  2000-07       Impact factor: 5.534

3.  Application of recently developed computer algorithm for automatic classification of unstructured radiology reports: validation study.

Authors:  Keith J Dreyer; Mannudeep K Kalra; Michael M Maher; Autumn M Hurier; Benjamin A Asfaw; Thomas Schultz; Elkan F Halpern; James H Thrall
Journal:  Radiology       Date:  2004-12-10       Impact factor: 11.105

4.  How well does chart abstraction measure quality? A prospective comparison of standardized patients with the medical record.

Authors:  J Luck; J W Peabody; T R Dresselhaus; M Lee; P Glassman
Journal:  Am J Med       Date:  2000-06-01       Impact factor: 4.965

5.  Comparison of methodologies for calculating quality measures based on administrative data versus clinical data from an electronic health record system: implications for performance measures.

Authors:  Paul C Tang; Mary Ralston; Michelle Fernandez Arrigotti; Lubna Qureshi; Justin Graham
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

6.  Using regular expressions to abstract blood pressure and treatment intensification information from the text of physician notes.

Authors:  Alexander Turchin; Nikheel S Kolatkar; Richard W Grant; Eric C Makhni; Merri L Pendergrass; Jonathan S Einbinder
Journal:  J Am Med Inform Assoc       Date:  2006-08-23       Impact factor: 4.497

7.  Validity of using an electronic medical record for assessing quality of care in an outpatient setting.

Authors:  Andrea L Benin; Grace Vitkauskas; Elizabeth Thornquist; Eugene D Shapiro; John Concato; Mihaela Aslan; Harlan M Krumholz
Journal:  Med Care       Date:  2005-07       Impact factor: 2.983

8.  Computerized extraction of information on the quality of diabetes care from free text in electronic patient records of general practitioners.

Authors:  Jaco Voorham; Petra Denig
Journal:  J Am Med Inform Assoc       Date:  2007-02-28       Impact factor: 4.497

9.  Identifying patient smoking status from medical discharge records.

Authors:  Ozlem Uzuner; Ira Goldstein; Yuan Luo; Isaac Kohane
Journal:  J Am Med Inform Assoc       Date:  2007-10-18       Impact factor: 4.497

10.  Facilitating Clinical Outcomes Assessment through the automated identification of quality measures for prostate cancer surgery.

Authors:  Leonard W D'Avolio; Mark S Litwin; Selwyn O Rogers; Alex A T Bui
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

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  3 in total

Review 1.  Natural language processing systems for capturing and standardizing unstructured clinical information: A systematic review.

Authors:  Kory Kreimeyer; Matthew Foster; Abhishek Pandey; Nina Arya; Gwendolyn Halford; Sandra F Jones; Richard Forshee; Mark Walderhaug; Taxiarchis Botsis
Journal:  J Biomed Inform       Date:  2017-07-17       Impact factor: 6.317

2.  Facilitating Clinical Outcomes Assessment through the automated identification of quality measures for prostate cancer surgery.

Authors:  Leonard W D'Avolio; Mark S Litwin; Selwyn O Rogers; Alex A T Bui
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

3.  DB4US: A Decision Support System for Laboratory Information Management.

Authors:  José M Carmona-Cejudo; Maria Luisa Hortas; Manuel Baena-García; Jorge Lana-Linati; Carlos González; Maximino Redondo; Rafael Morales-Bueno
Journal:  Interact J Med Res       Date:  2012-11-14
  3 in total

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