MG Assist reads the clinical record so your reviewers don't have to start from page one. It matches evidence to the right criteria and displays them side by side in front of the clinician.
A single authorization request can arrive with dozens of pages of notes, labs and images. Reviewers spend much of their time finding information rather than evaluating it, and that drives longer turnaround times, inconsistent reviews and clinician burnout.
MG Assist uses AI to organize submitted documentation, suggest the relevant guideline and pre-populate criteria with linked evidence. The reviewer stays in control. Every suggestion can be traced to its source, and every decision belongs to the clinician.
A concise snapshot of the request, the member and the clinical picture.
Faxes, PDFs and images become searchable, organized records.
Identifies the likely primary condition and recommends the applicable guideline.
Proposes an answer for each criterion and highlights the supporting evidence in the record.
Reviewers jump straight to the source page to verify any finding.
Supports digitized plan policies, CMS policies and other accessible clinical criteria sets.
Plans choose how far to go, from guidance only to auto-approval of clear cases. Adverse decisions remain a clinician's call.
AI suggestions and reviewer actions are logged for quality, compliance and model improvement.
A request and its documentation arrive through any channel.
MG Assist indexes the records and builds a case summary.
It suggests the right guideline and pre-populates criteria with linked evidence.
The reviewer verifies, edits and decides within the familiar Jiva workflow.
Activity is tracked to measure performance and refine results.
See how MG Assist organizes the record and links evidence to the right criteria.