Envision identifies gaps in clinical documentation which, if uncorrected, may result in compromised quality of care and reduced reimbursement from payers.
Detecting gaps in clinical documentation doesn’t have to be “searching for a needle in a haystack.”
Envision examines the rich clinical detail produced by Fusion, including medications, labs, procedures and vital signs, to infer when diagnoses may be missing from a patient’s record. Critical information is identified which is required to populate patient problem lists with omitted conditions, represent true patient acuity for accurate payer reimbursement, and improve screening for quality measurement and population health. Envision’s high-specificity algorithms identify gaps in clinical documentation with few false positives.
The process uses clear definitions of disease presence, such as identifying medications associated with specific disease states, and the automated assessment of past encounters to validate clinical attributes.