We empower you to be your best diagnostician
SimulConsult’s diagnostic decision support tool combines the power of curated human expertise and computational artificial intelligence (AI) to empower clinicians in diagnosis and workup of patients. It is used today in 118 countries. NIH-funded studies showed it can lower diagnostic errors by up to 75%.
This year we have a special offer for residency programs. Please stop by booth 624 to learn more.
The tool is designed by doctors for doctors, enabling comparisons of a patient with its curated descriptions of diseases, suggesting useful findings based on the evolving differential diagnosis, allowing the iterative approach that is the classic approach used by doctors for effective and efficient diagnosis. Its database already covers >7,200 diseases, including all well-described chromosomal disorders and all diseases with genes that have germline changes convincingly associated with human disease.
SimulConsult achieves the once-elusive “Explainable AI”. It automatically documents the justification for the diagnosis. It also documents justification for testing in a way that is so evidence-based that many insurers are accepting it as justification for reimbursement.
- Iterative model for diagnosis (imagine if your web search would suggest questions helping narrow your search).
- Use of time, including onset information for findings and speed of emergence, made possible by detailed curation of information about onset and disappearance of each finding in each disease.
- Ability to use pertinent negative findings, made possible by the tool’s detailed quantitative database.
- Prognosis Table - a powerful resource for answering the question from patients and referring physicians “given the diagnosis, what should I expect”, (shown in PCORI-funded research, to be valued for its ability to summarize any disease with a table of findings and how each evolves over time).
- The Genome-Phenome Analyzer version of the tool allows the user to import annotated genomic variant tables and then interpret them in the clinical context, answering the questions “which gene abnormalities fit with the clinical picture?” and “given the gene abnormalities found, what clinical findings or tests should I check to distinguish among the suspicious genes?” Copy Number Variants (CNV) can be analyzed together with Single Nucleotide Polymorphisms (SNP).
Users who subscribe during the ACMG meeting will get a special discount.