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Vanderbilt finds significant time savings by using the SimulConsult diagnostic software

Hash and colleagues at Vanderbilt University Medical Center found that the SimulConsult diagnostic software saved time and was perceived by clinicians as useful in improving diagnosis.

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Study shows efficacy of a Genome-Phenome Archiving and Communication System with SimulConsult

Kulchak Rahm and colleagues combined Natural Language Processing of Electronic Health Record (EHR) data with SimulConsult’s ability to discern what information is useful. The result was a system that identifies useful information in the EHR, and uses it for accurate diagnosis.

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Vanderbilt geneticists cite importance of using SimulConsult for genetic diagnosis

In a research paper, geneticists at Vanderbilt University Medical Center discussed their protocol for using SimulConsult in the diagnosis process. They suggested “In addition to increased communication, programs such as OMIM and SimulConsult can be used to analyze combinations of signs and symptoms to identify and prioritize differential diagnoses.”

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SimulConsult supports both old and new HGNC gene symbols

The SimulConsult Genome-Phenome Analyzer supports all HGNC gene symbols in use since 1 January 2010, even if the symbol has been changed. The hyperlinked article details how HGNC is systematically changing all the symbols that Excel turns into dates in a spreadsheet. But even if you use the old symbols such as SEPT12 in a variant table, or search for it in the software, SimulConsult recognizes that as being the HGNC symbol SEPTIN12.

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Efficacy study of the Genome-Phenome Analyzer published in Orphanet Journal of Rare Diseases

In the 81 cases (with 216 individuals) the gene abnormality was recognized in 100%, and it was ranked #1 in 94% of cases. Large CNVs could be analyzed in an integrated analysis, performed in 24 of the cases. The process is rapid enough to allow for periodic reanalysis of unsolved cases.

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UCSD study shows high efficacy for SimulConsult Genome-Phenome Analyzer

“In all families (84 pregnancies) pertinence was > 95% between signs/symptoms and molecular cause”, meaning that not only was the correct diagnosis ranked as #1 but no other diagnoses were close.

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Experience with Integrating Diagnostic Decision Support Software with Electronic Health Records: Benefits versus Risks of Information Sharing

Published in The Journal for Electronic Health Data and Methods on December 6, 2017 by Michael M. Segal, Alanna K. Rahm, Nathan C. Hulse, Grant Wood, Janet L. Williams, Lynn Feldman, Gregory J. Moore, David Gehrum, Michelle Yefko, Steven Mayernick, Roger Gildersleeve, Margie C. Sunderland, Steven B. Bleyl, Peter Haug, Marc S. Williams. The article describes the result of an NIH-sponsored study of integrating SimulConsult’s diagnostic decision support system with Electronic Health Record systems.

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Impact of a Patient-Facing Enhanced Genomic Results Report to Improve Understanding, Engagement, and Communication

Published in the Journal of Genetic Counselors in April 2018 (open access) by Williams JL, Rahm AK, Zallen DT, Stuckey H, Fultz K, Fan AL, Bonhag M, Feldman L, Segal MM, Williams MS. The article describes the result of a PCORI-sponsored study of providing information about genetic testing to patients, including a display driven by the highly granular onset information in SimulConsult’s diagnostic decision support system.

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Evidence-Based Decision Support for Pediatric Rheumatology Reduces Diagnostic Errors

Published by the Journal of Pediatric Rheumatology Online on December 13, 2016 (open access) by Michael M. Segal, Balu Athreya, Mary Beth F. Son, Irit Tirosh, Jonathan S. Hausmann, Elizabeth Y. N. Ang, David Zurakowski, Lynn K. Feldman, and Robert P. Sundel. The article describes the result of an NIH-sponsored study of adding rheumatology information to the SimulConsult diagnostic decision support system.

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Enhancing Genomic Laboratory Reports: A Qualitative Analysis of Provider Review

Published in the American Journal of Medical Genetics in May 2016 (open access) by Williams JL, Rahm AK, Stuckey H, Green J, Feldman L, Zallen DT, Bonhag M, Segal MM, Fan AL, Williams MS. The article describes the responses by clinicians to SimulConsult’s prognosis table, as used in genomic reports. One sample: “I love it—no clicks, detailed, comprehensive enough that I didn’t feel I needed another source—everything a pediatrician would think about.”

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Genome interpretation: Clinical correlation is recommended

Published in Applied Translational Genomics, in July 22, 2015 by Michael M. Segal. In a brain MRI report, the following words often appear: “clinical correlation is recommended”. These words signify that inadequate clinical information was provided, or that an unexpected finding on the MRI should be assessed clinically. “Clinical correlation is recommended” is less common in a report about a single gene or simple gene panel. This is because the very act of ordering the test conveys much of what is important about the clinical situation, and only rarely is further information needed.

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Clinical Pertinence Metric Enables Hypothesis-Independent Genome-Phenome Analysis for Neurologic Diagnosis

Published in the Journal of Child Neurology in June of 2015 by Michael M. Segal, MD, PhD, Mostafa Abdellateef, Ayman W. El-Hattab, MD, Brian S. Hilbush, PhD, Francisco M. De La Vega, PhD, Gerard Tromp, PhD, Marc S. Williams, MD, Rebecca A. Betensky, PhD, and Joseph Gleeson, MD. We describe an “integrated genome-phenome analysis” that combines both genomic sequence data and clinical information for genomic diagnosis. It is novel in that it uses robust diagnostic decision support and combines the clinical differential diagnosis and the genomic variants using a “pertinence” metric. This allows the analysis to be hypothesis-independent, not requiring assumptions about mode of inheritance, number of genes involved, or which clinical findings are most relevant.

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Enhancing genomic laboratory reports from the patients’ view: A qualitative analysis

Published by the American Journal of Medical Genetics (open access) on June 18, 2015 by Heather Stuckey, Janet L. Williams, Audrey L. Fan, Alanna Kulchak Rahm, Jamie Green, Lynn Feldman, Michele Bonhag, Doris T. Zallen, Michael M. Segal, Marc S. Williams. The article describes the responses by families to SimulConsult’s Prognosis Table, as used in genomic reports.

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Genome-Phenome Analyzer Enables Hypothesis-Independent Clinical Interpretation

BioIT World webinar video with Michael Segal MD PhD discussing and demonstrating the genome-phenome analyzer.

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Evidence-Based Decision Support for Neurological Diagnosis Reduces Errors and Unnecessary Workup

Published in the Journal of Child Neurology in April 2014 by Segal MM, Williams MS, Gropman AL, Torres AR, Forsyth R, Connolly AM, El-Hattab AW, Perlman SJ, Samanta D, Parikh S, Pavlakis SG, Feldman LK, Betensky RA, Gospe SM Jr. Using vignettes of real cases and the SimulConsult diagnostic decision support software, neurologists listed a differential diagnosis and workup before and after using the decision support. Using the software, there was a significant reduction in error, up to 75% for diagnosis and 56% for workup. This error reduction occurred despite the baseline being one in which testers were allowed to use narrative resources and Web searching.

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An international effort towards developing standards for best practices in analysis, interpretation and reporting of clinical genome sequencing results in the CLARITY Challenge

Published in Genome Biology on March 25, 2014 by Brownstein CA et al. The article describes the CLARITY genome interpretation contest, and how SimulConsult had by far the fastest analysis times.

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Genome-Phenome Analysis for Diagnosis and Gene Discovery

Presented on March 22, 2013 by Segal MM, Wiliams MS, Tromp G and Gleeson JG at the American College of Medical Genetics 2013 annual Meeting.

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Decision support for diagnosis: co-evolution of tools and resources

Published in Neurology on May 15, 2012 by Segal MM and Schiffmann R. The editorial discusses the role for diagnostic decision support in facilitating an evidence-based discussion between clinicians and payers.

Medical Articles

The Impact of Computer Resources on Child Neurology

Published in “Pediatric Neurology: Principles and Practice”, Swaiman KF et al., editors, 5th edition, Saunders, Chapter 108 by Segal M and Lever S

Medical Articles

Attenuated variants of Lesch–Nyhan disease: the case of King James VI/I

Published in Brain on July 12, 2010 by Peter Garrard, John Stephenson, Vijeya Ganesan, Timothy Peters. The authors used SimulConsult to analyze a historical diagnosis.