Services

Four ways to close the diagnosis gap.

Each engagement is scoped as a fixed deliverable with a fixed timeline, and each can stand alone. Taken together they follow the path a patient takes: first counted, then found, then diagnosed earlier as a matter of routine.

01 · Benchmark · Size the gap

Dx Rate Benchmarking

Prevalence is the easy part. How many are diagnosed today, how many of the rest can be found, and what does it cost to move the number?

Most rare disease forecasts start from a prevalence estimate and apply a diagnosis rate taken from expert opinion. That single assumption often decides whether a deal pencils out or a launch hits its curve, and it is usually the least examined number in the model. Benchmarking replaces it with an estimate you can defend.

  • Diagnosed share today, in unique patients, with the method shown and every input referenced.
  • The findable fraction separated from the theoretical ceiling, so targets reflect who can actually be reached.
  • Three scenarios with investment-to-yield: what spend moves the number how far, benchmarked to comparable launches.
  • An age-band split of the undiagnosed pool, separating near-term opportunity from the long horizon.
  • An independent pressure-test of prevalence and diagnosis-rate conclusions from partners, vendors or prior analyses.
02 · Blueprint · Plan the levers

Dx Strategy Blueprint

Where are patients lost on the path to diagnosis, and which levers close the gap?

Sponsored testing, EHR prompts, reanalysis, screening and education are all reasonable tactics. The question is which of them matters for this condition and this patient journey, in what order, and how you will know it worked. The Blueprint answers that before budget is committed.

  • A leakage map from referral to confirmation, including patients who were never tested and are therefore invisible to lab and registry data.
  • Variant reclassification: projected VUS-to-diagnosis conversion, reanalysis cadence, lab reclassification and recontact terms, and loss to follow-up.
  • Ranked levers: sponsored testing, EHR triggers, reanalysis, screening, cascade testing and education, each sized against the leakage it addresses.
  • Compliance guardrails drawn from current OIG advisory opinions, built into program design from the start.
  • Measurement defined up front, in unique patients, with the statistical tests specified before launch.
03 · Adoption · Make it durable

Long-Term Clinical Adoption

How does earlier diagnosis become standard practice rather than a campaign?

Programs end and budgets move. Guidelines, clinical pathways and population screening outlast both. This work builds the evidence and relationships that make earlier diagnosis the default, long after a launch campaign has finished.

  • Guideline and society engagement, with KOL and advocacy mapping.
  • Clinical pathway and diagnostic algorithm work designed to outlast any one campaign.
  • Newborn screening strategy and evidence dossiers, including state-by-state nominations now that the federal ACHDNC has been terminated, and readiness for genomic newborn screening.
  • Prioritization across states and countries, based on evidence readiness, program capacity and advocacy presence.
04 · Fractional · Capacity inside your team

Fractional Dx Execution

An embedded diagnostics lead for teams that need the function before they can hire it.

Many sponsors with one to three rare disease assets don’t have a diagnostics function, and can’t yet justify a full-time hire. Fractional execution provides a senior lead who works to your standards and review cycles, and who trains your people to own the work afterwards.

  • Vendor, lab and data-partner diligence, selection and management, including sponsored testing RFPs.
  • Internal deliverables built to your templates, standards and review cycles.
  • Cross-functional liaison across medical, commercial, legal and advocacy.
  • Handover: training staff to take ownership of the tactics, and field training on diagnostics for medical and commercial teams.

How engagements work

Fixed scope, senior work, referenced to a standard.

Fixed scope and price

Productized engagements are quoted as fixed deliverables on a fixed timeline. Custom work follows once a first engagement has proved its value.

Senior-only

No hand-offs to junior staff. The person who scopes the work does the work and presents it.

Referenced deliverables

Inline citations with AMA reference lists, stated statistical tests on every comparison, and counts in unique patients, not visits.

Clean data handling

De-identified or aggregate data only, unless a business associate agreement is in place. No PHI is requested by default.

Compliance-aware

Advice covers design and evidence. Your legal and compliance teams sign off; recommendations mirror current OIG guardrails so that sign-off is straightforward.

Independent

A written independence and disclosure policy governs work that spans sponsors, advocacy groups and public health.

Questions

Common questions from sponsors

We already have a forecast. Why benchmark the diagnosis rate separately?

Because it is usually the one input in the forecast that nobody has tested. Benchmarking gives your forecasting team a diagnosed-share estimate with its method and range shown, which it can accept, adjust or reject on the evidence. It often changes the shape of the uptake curve more than any other input.

Can you work with our existing vendors and agencies?

Yes. Much of the work is pressure-testing and coordinating existing partners: labs, data vendors, EHR and patient-finding vendors, and agencies. Bailiwick has no commercial tie to any of them.

Do you run sponsored testing programs or perform tests?

No. Bailiwick is a strategy practice. It helps you design programs, choose and manage lab partners, and build in compliance guardrails, but it doesn’t operate a laboratory or order tests.

What data do you need from us?

Often none to start. A first benchmark can be built from published literature, public variant databases, testing and claims aggregates, and vital statistics. Your internal data sharpens the estimate later, and is handled de-identified or in aggregate.

Which disease areas?

Rare and genetic disease broadly, with direct experience in skeletal dysplasias, metabolic and lysosomal storage disorders, and neurodevelopmental and CNS conditions.

Not sure which engagement fits?

Describe the asset and the question you’re trying to answer. You’ll get a straight view on whether Bailiwick is the right fit, and if it isn’t, who might be.