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- The role of informatics and decision support in utilization management.Clin Chim Acta. 2014; 427: 196-201
- Utilization management in a large urban academic medical center: a 10-year experience.Am J Clin Pathol. 2011; 135: 108-118
- Computerized provider order entry in the clinical laboratory.J Pathol Inform. 2011; 2: 35
- A novel class of laboratory middleware. Promoting information flow and improving computerized provider order entry.Am J Clin Pathol. 2010; 133: 860-869
- Pathologists as stewards of laboratory information.Arch Pathol Lab Med. 2015; 139: 332-337
- The ideal laboratory information system.Arch Pathol Lab Med. 2013; 137: 1129-1140
- A novel strategy for evaluating the effects of an electronic test ordering alert message: optimizing cardiac marker use.J Pathol Inform. 2012; 3: 3
- Enhanced creatinine and estimated glomerular filtration rate reporting to facilitate detection of acute kidney injury.Am J Clin Pathol. 2015; 143: 42-49
- Computational pathology.Arch Pathol Lab Med. 2016; 41: 41-50
- Computational pathology: an emerging definition.Arch Pathol Lab Med. 2014; 138: 1133-1138
- Clinical laboratory analytics: challenges and promise for an emerging discipline.J Pathol Inform. 2015; 6: 9
- Introduction to machine learning.Methods Mol Biol. 2014; 1107: 105-128
- Aspects of data ethics in a changing world: where are we now?.Big Data. 2018; 6: 176-190
- The ethics of big data: current and foreseeable issues in biomedical contexts.Sci Eng Ethics. 2016; 22: 303-341
- The use of automated SNOMED CT clinical coding in clinical decision support systems for preventive care.Perspect Health Inf Manag. 2017; 14: 1f
- Intelligent clinical decision support systems based on SNOMED CT.Conf Proc IEEE Eng Med Biol Soc. 2010; 2010: 6781-6784
- Forty years of SNOMED: a literature review.BMC Med Inform Decis Mak. 2008; 8: S2
- The role of standardized data and terminological systems in computerized clinical decision support systems: literature review and survey.Int J Med Inform. 2011; 80: 81-93
- Using machine learning to predict laboratory test results.Am J Clin Pathol. 2016; 145: 778-788
- 3D-MICE: integration of cross-sectional and longitudinal imputation for multi-analyte longitudinal clinical data.J Am Med Inform Assoc. 2018; 25: 645-653
- Comparison of imputation methods for missing laboratory data in medicine.BMJ Open. 2013; 3 ([pii:e002847])
- MissForest–non-parametric missing value imputation for mixed-type data.Bioinformatics. 2012; 28: 112-118
- Multiple imputation of missing blood pressure covariates in survival analysis.Stat Med. 1999; 18: 681-694
- Mice: multivariate imputation by chained equations in R.J Stat Softw. 2011; 45: 1-67
- Detection of preanalytic laboratory testing errors using a statistically guided protocol.Am J Clin Pathol. 2012; 138: 406-413
- Using machine learning-based multianalyte delta checks to detect wrong blood in tube errors.Am J Clin Pathol. 2018; 150: 555-566
- SMART on FHIR: a standards-based, interoperable apps platform for electronic health records.J Am Med Inform Assoc. 2016; 23: 899-908
- Information technology support for clinical genetic testing within an Academic Medical center.J Pers Med. 2016; 6 ([pii:E4])
- Building the foundation for genomics in precision medicine.Nature. 2015; 526: 336-342
- Driving innovation in health systems through an apps-based information economy.Cell Syst. 2015; 1: 8-13
- A fast healthcare interoperability resources (FHIR) layer implemented over i2b2.BMC Med Inform Decis Mak. 2017; 17: 120
- FHIR.(Available at:)Accessed November 12, 2018)
Disclosure Statement: In addition to his academic role, Dr J.M. Baron works part-time as a computational pathologist for Roche Diagnostics. The other authors have nothing to disclose.