The resources listed below were shared by participants at the Genetic Testing and Insurance Forum in December of 2014.
The Bree Collaborative works together to improve health care quality, outcomes, and affordability in Washington State. The Collaborative conducts health technology assessments.
Choosing Wisely® aims to promote conversations between providers and patients by helping patients choose care that is:
GeneReviews are expert-authored, peer-reviewed disease descriptions ("chapters") presented in a standardized format and focused on clinically relevant and medically actionable information on the diagnosis, management, and genetic counseling of patients and families with specific inherited conditions
GeneTests is a medical genetics information resource developed for physicians, genetic counselors, other healthcare providers and researchers. It offers a laboratory directory, a clinics directory, and a search mechanism.
Genetics in Wisconsin website—practice guidelines
Hayes health technology assessments
Hayes health technology assessments can help health plans to determine the impact of new, evolving, existing, and controversial healthcare technologies on patient outcomes, healthcare utilization, and cost.
Milliman health technology assessments
Milliman provides guidelines and health technology assessments for health plans, including some related to genetic tests.
NextGxDx is a health care IT company dedicated to improving the genetic test ordering process for the medical community.
PLUGS, a program of Seattle Children’s Hospital, helps hospitals and health systems implement labs utilization management programs that decrease send-out testing costs and errors.
UpToDate® is an evidence-based, physician-authored clinical decision support resource which clinicians trust to make the right point-of-care decisions.
van Karnebeek, CD et al. The metabolic evaluation of the child with an intellectual developmental disorder: diagnostic algorithm for identification of treatable causes and new digital resource. Mol Genet Metab. 2014 Apr;111(4):428-38. doi: 10.1016/j.ymgme.2014.01.011. Epub 2014 Jan 24.
This article describes an algorithm, which is supported by an app: http://www.treatable-id.org/