Judging the Accuracy of a Medical Record Index in a Pharma MDL: Do's and Don'ts

An accurate medical record index is one where every entry points to the page that is actually there, classified the same way across every claimant in the matter. That standard sounds obvious until you are staring at a pharma MDL with thousands of claimant sets and no fast way to confirm it holds. Ever trusted an index that looked complete, right up until someone needed one specific record and it was not where the classification said? That gap is the whole problem, and it is checkable before it costs you.

Sorting and indexing medical records is the process of organizing a claimant's records, paginating and Bates-numbering them, and classifying each document by type and provider so any record can be found and cited. In a product liability or pharmaceutical MDL, the index is not filing. It is the infrastructure the whole matter is searched and cited from. When it is accurate, the pivotal document surfaces on demand. When it is not, the record exists and still cannot be found. Let's go through what separates the two.

Why index accuracy is a scale problem, not a per-file one

Index accuracy in an MDL is not about whether one claimant set looks clean. It is about whether the same standard held across all of them. A single pharma inventory can carry thousands of claimant record sets, so an error rate that reads as trivial still means real numbers. One misclassified record in 40,000 pages is invisible, until it is the record that mattered. The case is built on patterns across claimants, so an index that classifies a discharge summary one way for claimant 12 and another way for claimant 240 does not just misfile a document. It hides the pattern.

Do check classification consistency across claimants, not just within one

The most useful accuracy test in an MDL is a cross-claimant one. Pick a single document type, an operative report, a discharge summary, a specific lab, and check how it is labeled across ten different claimant sets. If it is classified the same way every time, the index has the consistency the matter depends on. If it drifts, a search that works on one claimant will silently miss on the next. One standard, applied identically to every provider format and every claimant, is what makes an index searchable as a whole. LezDo TechMed's sorting and indexing medical records applies that single classification standard across an entire inventory, which is exactly what cross-claimant work requires.

Don't treat a per-file review as proof the index is accurate

Opening one claimant set, seeing it neatly organized, and concluding the whole index is sound is the most common accuracy mistake in high-volume work. A per-file review confirms that file. It says nothing about whether claimant 12 and claimant 240 were handled the same way. In an MDL, accuracy that only holds per file is not accuracy. It is a sample that happened to pass. If you are weighing how indexing has to change as volume grows, sorting and indexing at scale for medical malpractice firms covers the same scaling pressure litigation teams feel.

Do confirm Bates and pagination are continuous, unique, and traceable

Bates integrity is where an index quietly breaks. Numbers that skip, duplicate, or reset between sets mean a cite in a brief can point to the wrong page, and in litigation that is not a small thing. An accurate index guarantees pagination and Bates numbering that are continuous within a set, unique across the inventory, and traceable, so every entry leads to the exact page it claims. Ask to trace a handful of index entries straight to their source pages. If each one lands where it should in seconds, the numbering holds. If it does not, that is your accuracy gap, and it is better found now than in a filing.

Don't assume a complete-looking index is a complete one

An index can list every document you expected and still be missing pages inside them. Completeness is not the length of the index. It is whether gaps and missing pages are flagged rather than silently skipped. A defensible index tells you what is not there, a record that references an attachment that never arrived, a report that jumps from page 3 to page 6, so a missing document is a flag you act on, not a hole you find later.

Do insist on a documented method and human verification of AI output

At MDL volume, AI is in the workflow, and pretending otherwise helps no one. It classifies documents, reads pagination, and builds a first-pass index across thousands of sets far faster than a person working alone. What matters for accuracy is whether a qualified reviewer verified that output and whether the method is documented. At LezDo TechMed, AI handles the first-pass classification and indexing, trained reviewers check context and consistency, and the process is recorded. “A person confirmed this, and here is how” is defensible if the methodology is ever questioned. “The software did it” is not.

A quick check worth running before you rely on any claimant-set index: pick one document type and trace it across ten claimant files, then trace three index entries back to their Bates-stamped pages. If the classification holds across all ten and the three entries land exactly where they should, the index earned your trust. If either wobbles, that is the conversation to have with your provider now.

Bringing it back to your inventory

An accurate medical record index is not the one that looks organized when you open a file. It is the one that classifies the same document the same way from claimant 1 to claimant 5,000, numbers every page so a cite never lands wrong, and flags what is missing instead of hiding it. Judge it across the inventory, trace its entries to their pages, and confirm the method is documented. Do that, and the pivotal document is something you find on demand, not something the other side produces first.

One boundary worth stating plainly: sorting and indexing organizes, paginates, classifies, and flags the documented records. It does not interpret them or draw conclusions about causation or liability. That analysis stays with your experts and counsel. The index just makes sure nothing they need is lost in the volume.

Ready to work from an index you can cite without spot-checking? Partner with LezDo TechMed, or start with a free trial case.