Future medical cost projection
What's been billed. What care will cost next.
Future medical cost projection software that builds billed-to-date roll-ups and future-care cost tables from the medical record, ready to drop into a life-care plan or a demand package. Every figure is cited to the page that supports it. Nothing is projected without evidence in the record.
By Ahmed Jemaa, Co-Founder & CEO of Medrecords AI · Published 10 Jul 2026 · Updated 30 Aug 2026Summarize with ChatGPT, Claude, Perplexity or Google AI
What is a future-care cost table?
A structured table of the care a claimant is expected to need going forward (therapy, follow-up visits, imaging, medication) that Medrecords AI builds from the treatment plans and physician recommendations documented in the record. Each line carries a frequency, a duration, a low/high cost range, and a citation to the page that supports it.
Billed to date, rolled up by category.
The platform reads the billing pages, CPT-coded lines, and EOBs already in the file, then rolls them into a medical specials table grouped the way you argue it: by provider, by date range, or by care category. No spreadsheet re-keying.
No documented recommendation in the file. Left out of the range until you confirm or request the missing record.
Future care as a range, never a guess.
The future-care table is built from what the record actually documents: treatment plans, physician recommendations, stated frequencies and durations. Each item is projected as a low/high range, and anything the record doesn't support is flagged for your review instead of quietly estimated.
Drop-in ready for the plan or the demand.
The tables come out in the shape a life-care planner or drafting attorney needs. Feed them straight into AI-assisted life care plan drafting or the settlement demand letter, or export DOCX and PDF for your own template.
A projection you can defend shows its work.
Every figure in every table traces to a page and a source: the billing line, the treatment plan, the physician's recommendation. That's what makes the output audit-grade and legally defensible when the other side asks where a number came from.
See Verifiable AI CitationsFrom raw billing pages to cited cost tables.
3 steps: no spreadsheet, no re-keying, no unsupported figures.
Records, billing pages, and EOBs in any format. 342 pages across 2 packets, no manual sorting.
Billed-to-date rolled up by provider, date, and category; future care drafted as ranges from documented recommendations.
Into the life-care plan, the demand package, or your own DOCX/PDF template: citations preserved.
Who builds cost tables with it.
Both sides of the same number: one team argues it, the other checks it.
Where it stops
- It drafts cited cost tables; it does not estimate care the record does not support or decide what goes in the plan.
- It reads only the files you upload. It does not request or retrieve records for you.
- It drafts and cites. It does not diagnose, give a medical opinion or sign anything; a qualified reviewer checks the output.
- Each finding cites its source page, so the reviewer can check it against the record.
Future medical cost projection, answered.
A structured table of the care a claimant is expected to need going forward (therapy, follow-up visits, imaging, medication) built from the treatment plans and physician recommendations documented in the record. Each line carries a frequency, a duration, a low/high cost range, and a citation to the page that supports it.
The platform reads the billing pages, CPT-coded lines, and EOBs already in the file and rolls them up by provider, date range, and care category into a billed-to-date table. Every figure is click-to-source: select any dollar amount and land on the billing page behind it.
A single number implies precision the record rarely supports. A low/high range tied to documented care options is easier to defend in negotiation or at deposition, and it leaves the judgment call (which figure to argue) where it belongs, with your planner or attorney.
Yes. The tables export in the shape a life-care planner or drafting attorney needs, feed AI-assisted life care plan drafting and the settlement demand letter directly, and come out as DOCX or PDF with the citations preserved.
Only from the record: billed amounts on the billing pages, documented treatment plans, and physician recommendations. Nothing is invented: a care item with no support in the file is flagged for your review, never silently filled in. AI drafts the table; your team decides what goes in the plan.
Related capabilities
Every billed amount traced to its source page: the ledger behind the roll-up.
ExploreA cited life care plan drafted by category and cost range, ready for planner review.
ExploreThe demand drafted from the record, with these tables dropped straight in.
ExploreThe 1-page rolled-up billing summary, grouped by provider, date, or category.
ExplorePut cited cost tables in your next demand.
Upload a single file and get billed-to-date roll-ups and a future-care range back, every figure cited. Handled under our BAA; never used to train a model.