Unnat Patel

Healthcare documents · 29 of 31 · Evidence · 2 minutes

Healthcare products. From problem to production.

Mistakes & lessons

Claims automation, provider matching and a legacy claims integration replaced — explored through the documents and decisions.

01

Lessons across automation, identity and migration

Lessons I can defend with the analysis behind each one.

Product decision
Do not let a local success hide an end-to-end failure.

Document type
Mistakes & lessons
Lifecycle stage
Operate & learn · 21 / Operate & learn
Contents
3 sections · 1 table · about 1 min
Status
Sample format · headline results from my healthcare claims work
Product decision
Do not let a local success hide an end-to-end failure.

Portfolio sample from my healthcare product experience. Requirements, thresholds and review records are illustrative; they are not employer documents or historical sign-offs.

Experience-based synthesis

Document conversion is only one part of claims automation; provider completeness and representation decide identity; a platform replacement needs continuity as well as capability; and a confident estimate with no data behind it is a risk, not a plan.

  1. Document conversion is only one part of claims automation
  2. provider completeness and representation decide identity
  3. a platform replacement needs continuity as well as capability
  4. a confident estimate with no data behind it is a risk, not a plan

Tempting choices and corrections

Tempting choiceWhat it would have costCorrection
Treating conversion rate as the outcomeReview work hidden behind a rising rateReport net automation with the manual share beside it
Dropping the provider match ruleTens of thousands of extra manual falloutsMeasure a month with and without; fix identity at the source
Assuming streaming throughputA design built for six claims a second that handled oneDemand the proof of concept
Patching a legacy engineYears of work still short of the volumeReplace limited legacy EDI shredding with homegrown mapping into a normalized datamart before adjudication.
Counting processed claims as received300,000 claims and about $10M unseenDaily reconciliation against what was received

What changed in my framing

I assess the complete operating path: eligible automation, trustworthy identity, visible state and recoverability. Manual review is a deliberate capability for uncertain evidence, and every rate is reported with its denominator.

  1. eligible automation
  2. trustworthy identity
  3. visible state
  4. recoverability