Literature DB >> 29396125

Performing an Informatics Consult: Methods and Challenges.

Alejandro Schuler1, Alison Callahan2, Kenneth Jung2, Nigam H Shah2.   

Abstract

Our health care system is plagued by missed opportunities, waste, and harm. Data generated in the course of care are often underutilized, scientific insight goes untranslated, and evidence is overlooked. To address these problems, we envisioned a system where aggregate patient data can be used at the bedside to provide practice-based evidence. To create that system, we directly connect practicing physicians to clinical researchers and data scientists through an informatics consult. Our team processes and classifies questions posed by clinicians, identifies the appropriate patient data to use, runs the appropriate analyses, and returns an answer, ideally in a 48-hour time window. Here, we discuss the methods that are used for data extraction, processing, and analysis in our consult. We continue to refine our informatics consult service, moving closer to a learning health care system.
Copyright © 2017 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Learning health system; clinical informatics; observational study; practice-based evidence

Mesh:

Year:  2018        PMID: 29396125      PMCID: PMC5901653          DOI: 10.1016/j.jacr.2017.12.023

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  39 in total

1.  A method for systematic discovery of adverse drug events from clinical notes.

Authors:  Guan Wang; Kenneth Jung; Rainer Winnenburg; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2015-07-31       Impact factor: 4.497

2.  A comparison of phenotype definitions for diabetes mellitus.

Authors:  Rachel L Richesson; Shelley A Rusincovitch; Douglas Wixted; Bryan C Batch; Mark N Feinglos; Marie Lynn Miranda; W Ed Hammond; Robert M Califf; Susan E Spratt
Journal:  J Am Med Inform Assoc       Date:  2013-09-11       Impact factor: 4.497

3.  Fast and Efficient Feature Engineering for Multi-Cohort Analysis of EHR Data.

Authors:  Michal Ozery-Flato; Chen Yanover; Assaf Gottlieb; Omer Weissbrod; Naama Parush Shear-Yashuv; Yaara Goldschmidt
Journal:  Stud Health Technol Inform       Date:  2017

4.  Validation of electronic medical record-based phenotyping algorithms: results and lessons learned from the eMERGE network.

Authors:  Katherine M Newton; Peggy L Peissig; Abel Ngo Kho; Suzette J Bielinski; Richard L Berg; Vidhu Choudhary; Melissa Basford; Christopher G Chute; Iftikhar J Kullo; Rongling Li; Jennifer A Pacheco; Luke V Rasmussen; Leslie Spangler; Joshua C Denny
Journal:  J Am Med Inform Assoc       Date:  2013-03-26       Impact factor: 4.497

Review 5.  Clinical questions raised by clinicians at the point of care: a systematic review.

Authors:  Guilherme Del Fiol; T Elizabeth Workman; Paul N Gorman
Journal:  JAMA Intern Med       Date:  2014-05       Impact factor: 21.873

6.  Estimating prognosis with the aid of a conversational-mode computer program.

Authors:  A R Feinstein; J F Rubinstein; W A Ramshaw
Journal:  Ann Intern Med       Date:  1972-06       Impact factor: 25.391

7.  Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.

Authors:  Sheng Yu; Katherine P Liao; Stanley Y Shaw; Vivian S Gainer; Susanne E Churchill; Peter Szolovits; Shawn N Murphy; Isaac S Kohane; Tianxi Cai
Journal:  J Am Med Inform Assoc       Date:  2015-04-29       Impact factor: 4.497

8.  Caveats for the use of operational electronic health record data in comparative effectiveness research.

Authors:  William R Hersh; Mark G Weiner; Peter J Embi; Judith R Logan; Philip R O Payne; Elmer V Bernstam; Harold P Lehmann; George Hripcsak; Timothy H Hartzog; James J Cimino; Joel H Saltz
Journal:  Med Care       Date:  2013-08       Impact factor: 2.983

9.  Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies.

Authors:  Peter C Austin
Journal:  Pharm Stat       Date:  2011 Mar-Apr       Impact factor: 1.894

10.  A framework for feature extraction from hospital medical data with applications in risk prediction.

Authors:  Truyen Tran; Wei Luo; Dinh Phung; Sunil Gupta; Santu Rana; Richard Lee Kennedy; Ann Larkins; Svetha Venkatesh
Journal:  BMC Bioinformatics       Date:  2014-12-30       Impact factor: 3.169

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  8 in total

1.  A scoping review of clinical decision support tools that generate new knowledge to support decision making in real time.

Authors:  Anna Ostropolets; Linying Zhang; George Hripcsak
Journal:  J Am Med Inform Assoc       Date:  2020-12-09       Impact factor: 4.497

Review 2.  Opportunities and challenges in using real-world data for health care.

Authors:  Vivek A Rudrapatna; Atul J Butte
Journal:  J Clin Invest       Date:  2020-02-03       Impact factor: 14.808

Review 3.  Use of Natural Language Processing to Extract Clinical Cancer Phenotypes from Electronic Medical Records.

Authors:  Guergana K Savova; Ioana Danciu; Folami Alamudun; Timothy Miller; Chen Lin; Danielle S Bitterman; Georgia Tourassi; Jeremy L Warner
Journal:  Cancer Res       Date:  2019-08-08       Impact factor: 12.701

4.  'What is the risk to me from COVID-19?': Public involvement in providing mortality risk information for people with 'high-risk' conditions for COVID-19 (OurRisk.CoV).

Authors:  Amitava Banerjee; Laura Pasea; Sinduja Manohar; Alvina G Lai; Eade Hemingway; Izaak Sofer; Michail Katsoulis; Harpreet Sood; Andrew Morris; Caroline Cake; Natalie K Fitzpatrick; Bryan Williams; Spiros Denaxas; Harry Hemingway
Journal:  Clin Med (Lond)       Date:  2021-11       Impact factor: 2.659

5.  ACE: the Advanced Cohort Engine for searching longitudinal patient records.

Authors:  Alison Callahan; Vladimir Polony; José D Posada; Juan M Banda; Saurabh Gombar; Nigam H Shah
Journal:  J Am Med Inform Assoc       Date:  2021-07-14       Impact factor: 4.497

6.  Personalized treatment options for chronic diseases using precision cohort analytics.

Authors:  Kenney Ng; Uri Kartoun; Harry Stavropoulos; John A Zambrano; Paul C Tang
Journal:  Sci Rep       Date:  2021-01-13       Impact factor: 4.379

Review 7.  An informatics consult approach for generating clinical evidence for treatment decisions.

Authors:  Alvina G Lai; Wai Hoong Chang; Constantinos A Parisinos; Michail Katsoulis; Ruth M Blackburn; Anoop D Shah; Vincent Nguyen; Spiros Denaxas; George Davey Smith; Tom R Gaunt; Krishnarajah Nirantharakumar; Murray P Cox; Donall Forde; Folkert W Asselbergs; Steve Harris; Sylvia Richardson; Reecha Sofat; Richard J B Dobson; Aroon Hingorani; Riyaz Patel; Jonathan Sterne; Amitava Banerjee; Alastair K Denniston; Simon Ball; Neil J Sebire; Nigam H Shah; Graham R Foster; Bryan Williams; Harry Hemingway
Journal:  BMC Med Inform Decis Mak       Date:  2021-10-12       Impact factor: 2.796

8.  Treatment and Monitoring Variability in US Metastatic Breast Cancer Care.

Authors:  Jennifer L Caswell-Jin; Alison Callahan; Natasha Purington; Summer S Han; Haruka Itakura; Esther M John; Douglas W Blayney; George W Sledge; Nigam H Shah; Allison W Kurian
Journal:  JCO Clin Cancer Inform       Date:  2021-05
  8 in total

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