Literature DB >> 29882052

Toward an accelerated adoption of data-driven findings in medicine : Research, skepticism, and the need to speed up public visibility of data-driven findings.

Uri Kartoun1.   

Abstract

To accelerate the adoption of a new method with a high potential to replace or extend an existing, presumably less accurate, medical scoring system, evaluation should begin days after the new concept is presented publicly, not years or even decades later. Metaphorically speaking, as chameleons capable of quickly changing colors to help their bodies adjust to changes in temperature or light, health-care decision makers should be capable of more quickly evaluating new data-driven insights and tools and should integrate the highest performing ones into national and international care systems. Doing so is essential, because it will truly save the lives of many individuals.

Entities:  

Keywords:  Cirrhosis; Clinical informatics; Data-mining; Electronic medical records; Liver transplantation; Machine-learning; Prediction modeling

Mesh:

Year:  2019        PMID: 29882052     DOI: 10.1007/s11019-018-9845-y

Source DB:  PubMed          Journal:  Med Health Care Philos        ISSN: 1386-7423


  21 in total

1.  Evaluating the state-of-the-art in automatic de-identification.

Authors:  Ozlem Uzuner; Yuan Luo; Peter Szolovits
Journal:  J Am Med Inform Assoc       Date:  2007-06-28       Impact factor: 4.497

2.  An integrated MELD model including serum sodium and age improves the prediction of early mortality in patients with cirrhosis.

Authors:  Angelo Luca; Berhard Angermayr; Guido Bertolini; Franz Koenig; Giovanni Vizzini; Martin Ploner; Markus Peck-Radosavljevic; Bruno Gridelli; Jaime Bosch
Journal:  Liver Transpl       Date:  2007-08       Impact factor: 5.799

Review 3.  NAFLD: a multisystem disease.

Authors:  Christopher D Byrne; Giovanni Targher
Journal:  J Hepatol       Date:  2015-04       Impact factor: 25.083

4.  The Heart Age Is Increased in Patients With Nonalcoholic Fatty Liver Disease and Correlates With Fibrosis and Hepatocyte Ballooning.

Authors:  Neal Mehta; Tavankit Singh; Rocio Lopez; Naim Alkhouri
Journal:  Am J Gastroenterol       Date:  2016-12       Impact factor: 10.864

5.  A model to predict poor survival in patients undergoing transjugular intrahepatic portosystemic shunts.

Authors:  M Malinchoc; P S Kamath; F D Gordon; C J Peine; J Rank; P C ter Borg
Journal:  Hepatology       Date:  2000-04       Impact factor: 17.425

6.  Electronic medical records for discovery research in rheumatoid arthritis.

Authors:  Katherine P Liao; Tianxi Cai; Vivian Gainer; Sergey Goryachev; Qing Zeng-treitler; Soumya Raychaudhuri; Peter Szolovits; Susanne Churchill; Shawn Murphy; Isaac Kohane; Elizabeth W Karlson; Robert M Plenge
Journal:  Arthritis Care Res (Hoboken)       Date:  2010-08       Impact factor: 4.794

Review 7.  The model for end-stage liver disease (MELD).

Authors:  Patrick S Kamath; W Ray Kim
Journal:  Hepatology       Date:  2007-03       Impact factor: 17.425

Review 8.  The discovery of pulmonary circulation: From Imhotep to William Harvey.

Authors:  Mohamed ElMaghawry; Alberto Zanatta; Fabio Zampieri
Journal:  Glob Cardiol Sci Pract       Date:  2014-06-18

9.  The MELD-Plus: A generalizable prediction risk score in cirrhosis.

Authors:  Uri Kartoun; Kathleen E Corey; Tracey G Simon; Hui Zheng; Rahul Aggarwal; Kenney Ng; Stanley Y Shaw
Journal:  PLoS One       Date:  2017-10-25       Impact factor: 3.240

10.  Development of an Algorithm to Identify Patients with Physician-Documented Insomnia.

Authors:  Uri Kartoun; Rahul Aggarwal; Andrew L Beam; Jennifer K Pai; Arnaub K Chatterjee; Timothy P Fitzgerald; Isaac S Kohane; Stanley Y Shaw
Journal:  Sci Rep       Date:  2018-05-18       Impact factor: 4.379

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