Anand Shrikant Dighe, Ph.D., M.D.
Co-Author
This page shows the publications co-authored by Anand Dighe and Jason Baron.
Connection Strength
6.350
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Use of machine learning to predict clinical decision support compliance, reduce alert burden, and evaluate duplicate laboratory test ordering alerts. JAMIA Open. 2021 Jan; 4(1):ooab006.
Score: 0.923
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Machine Learning and Other Emerging Decision Support Tools. Clin Lab Med. 2019 06; 39(2):319-331.
Score: 0.808
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Enhanced creatinine and estimated glomerular filtration rate reporting to facilitate detection of acute kidney injury. Am J Clin Pathol. 2015 Jan; 143(1):42-9.
Score: 0.602
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The role of informatics and decision support in utilization management. Clin Chim Acta. 2014 Jan 01; 427:196-201.
Score: 0.552
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Detection of preanalytic laboratory testing errors using a statistically guided protocol. Am J Clin Pathol. 2012 Sep; 138(3):406-13.
Score: 0.512
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A novel strategy for evaluating the effects of an electronic test ordering alert message: Optimizing cardiac marker use. J Pathol Inform. 2012; 3:3.
Score: 0.495
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Computerized provider order entry in the clinical laboratory. J Pathol Inform. 2011; 2:35.
Score: 0.476
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Iron studies and transferrin, a source of test ordering confusion highly amenable to clinical decision support. Clin Chim Acta. 2020 Nov; 510:337-343.
Score: 0.221
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Validation and Implementation of an Ordering Alert to Improve the Efficiency of Monoclonal Gammopathy Evaluation. Am J Clin Pathol. 2020 02 08; 153(3):396-406.
Score: 0.215
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Order Indication Solicitation to Assess Clinical Laboratory Test Utilization: D-Dimer Order Patterns as an Illustrative Case. J Pathol Inform. 2019; 10:36.
Score: 0.212
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Creation and Use of an Electronic Health Record Reporting Database to Improve a Laboratory Test Utilization Program. Appl Clin Inform. 2018 07; 9(3):519-527.
Score: 0.192
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3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data. J Am Med Inform Assoc. 2018 06 01; 25(6):645-653.
Score: 0.191
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Analysis of Daily Laboratory Orders at a Large Urban Academic Center: A Multifaceted Approach to Changing Test Ordering Patterns. Am J Clin Pathol. 2017 Aug 01; 148(2):128-135.
Score: 0.180
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Case 3-2017: A Man with Cardiac Sarcoidosis and New Diplopia and Weakness. N Engl J Med. 2017 05 11; 376(19):1897.
Score: 0.177
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Using Machine Learning to Predict Laboratory Test Results. Am J Clin Pathol. 2016 Jun; 145(6):778-88.
Score: 0.167
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The 2013 symposium on pathology data integration and clinical decision support and the current state of field. J Pathol Inform. 2014; 5(1):2.
Score: 0.141
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Machine Learning Models Improve the Diagnostic Yield of Peripheral Blood Flow Cytometry. Am J Clin Pathol. 2020 01 02; 153(2):235-242.
Score: 0.053
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Early Prediction of Acute Kidney Injury in Critical Care Setting Using Clinical Notes and Structured Multivariate Physiological Measurements. Stud Health Technol Inform. 2019 Aug 21; 264:368-372.
Score: 0.052
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Environmental components and methods for engaging pathology residents in informatics training. J Pathol Inform. 2015; 6:42.
Score: 0.039
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Applying Lean methodologies reduces ED laboratory turnaround times. Am J Emerg Med. 2015 Nov; 33(11):1572-6.
Score: 0.039
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Computational pathology: an emerging definition. Arch Pathol Lab Med. 2014 Sep; 138(9):1133-8.
Score: 0.037
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Pathology informatics fellowship retreats: The use of interactive scenarios and case studies as pathology informatics teaching tools. J Pathol Inform. 2012; 3:41.
Score: 0.033
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A core curriculum for clinical fellowship training in pathology informatics. J Pathol Inform. 2012; 3:31.
Score: 0.032
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.