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Industries · Clinical & diagnostic labs

Clinical & diagnostic labs

Catch labs the moment a new CLIA certificate or an upgrade signals expanding test menus.

The moment it happens, you hear about it — dated and citable.

Lab salesReagent / consumablesLIS software

Clinical & diagnostic labs

Live

New provider enumerations — nationwide

Live signals · 12 Parses · updated daily

Proven Parses

9 tight-signal Parses for clinical & diagnostic labs

Daily, weekly, monthly signals. The moment a buyer in your market makes a move — a new site turns on, a spend jumps, a record changes — you hear about it. Each Parse cross-references several official records at once, so you get the needle, not the haystack. Open the chevron to see how it works in plain language, then open it in the builder to edit territory, thresholds, or cadence.

New and upgraded CLIA laboratories

New CLIA certificates and complexity upgrades flag labs standing up new testing lines — analyzer, reagent, and molecular-platform demand.

How this Parse works

Watch for a lab receiving a new CLIA certificate or upgrading its complexity level. A complexity upgrade is the closest thing to a purchase announcement a lab ever makes: moving to high-complexity testing requires instrumentation, qualified staff, and a validated method, and the certificate posts as the lab is standing that capability up. Reaching a lab during the build — while analyzer, reagent, and consumable decisions are still open — is a fundamentally different sale from arriving after the platform is chosen and locked in for years.

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New CLIA laboratories standing up testing lines

Newly certified CLIA laboratories — sites just cleared to run new testing, the analyzer and platform-placement window.

How this Parse works

Track new CLIA laboratory certificates as they're recorded — sites just cleared to perform clinical testing. A fresh CLIA certificate means a lab is standing up testing lines: it needs analyzers, reagents, middleware, and platform placements, and it's making those decisions in the weeks around certification, not on an annual cycle. Diagnostics and lab-equipment sellers get a dated, certificate-backed signal of a buyer at the exact moment its purchasing is open, keyed to the facility so you can route it to the right territory. It's the demand-creation event a lab-equipment rep would otherwise only hear about secondhand — here it's read straight off the certification record the week it posts.

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New prescribers turning on in your territory

Providers just enumerated in NPPES who have also begun billing Medicare — brand-new prescribers, reachable before any rep owns the relationship.

How this Parse works

Cross the weekly NPPES enumeration feed — providers who just received an NPI — against CMS claims for the ones who have also started billing Medicare for the first time. A new NPI on its own is often a resident, a locum, or an administrative record; a new NPI that is ALREADY submitting claims is a working prescriber who just opened their panel. That's the narrow window a field rep wants: a doctor brand-new to the territory and actively practicing, before a competitor has built any relationship. You read it off the provider-change record the week it posts, not from a purchased list months after they've settled in.

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New prescribers already running Medicare volume

Newly enumerated providers who are also clearing a real Part B service-volume threshold — new names that already carry patient reach.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Take the weekly NPPES feed of newly enumerated providers and keep only those who ALSO clear a Medicare Part B service-volume threshold in the specialty. A brand-new NPI usually means little prescribing yet; a brand-new NPI attached to real, measurable Part B volume means a provider who arrived with an established patient base — a practice that relocated, a hire into a busy group, a specialist who just enrolled. Those are the highest-value new names in a territory: fresh enough that no rep owns them, active enough to prescribe from day one. The volume leg sizes the opportunity so you call the busiest new accounts first.

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High-volume prescribers who just relocated

Established high-volume prescribers whose NPPES practice address just changed — a known account moving to a new location.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Watch the weekly NPPES feed for a provider's practice address changing, and keep only those already clearing a Part B service-volume threshold — established, high-volume prescribers on the move. A relocation resets everything a rep relies on: the territory owner changes, local formulary and referral patterns change, and incumbent relationships loosen exactly when the provider is re-choosing suppliers and habits. Reaching a high-value prescriber in the weeks after a move — while they set up a new office — is the difference between keeping the relationship and losing it to whoever covers the new address. The volume leg keeps the list to accounts worth the drive.

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Newly-billing prescribers already at scale

Providers who only recently began billing Medicare but are already clearing a service-volume threshold — fast-ramping accounts.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Cross CMS records for providers who only recently began billing Medicare against Part B utilization for the ones already clearing a service-volume threshold. Most newly-billing providers ramp slowly; the ones already at volume are fast starters — a specialist who joined a busy practice, a provider whose panel filled immediately, a new site running hot. Catching a prescriber early in a steep ramp, before habits harden, is where a rep shapes long-term share. The newly-billing leg tells you they're new to Medicare; the utilization leg tells you they're already prescribing at scale — together, a short list of accounts worth prioritizing this week.

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New provider NPIs in your territory this week

Providers just enumerated in NPPES across your states — the freshest name list there is, posted the week the NPI issues.

How this Parse works

Read the weekly NPPES enumeration feed — every provider issued a new NPI — scoped to your states. This is the freshest provider signal available anywhere: it posts the week the number is assigned, before any list vendor has scrubbed and resold it. NPPES enumeration carries no Part B specialty, so this is a territory-wide feed of brand-new NPIs, not a specialty cut — pair it with one of the specialty-bearing volume crosses when you need to narrow, or work it as-is for the earliest possible look at who's arriving in your patch. Reaching a provider in their first weeks, before habits and vendor relationships harden, is the whole advantage of watching the enumeration feed instead of buying a list.

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Providers in the pre-billing enrollment window

Providers whose Medicare enrollment is still pending across your states — the window before they turn on, and before any competitor has a claim on them.

How this Parse works

Watch the weekly Medicare enrollment feed for providers whose PECOS enrollment is pending — they've applied but haven't started billing yet. This is the earliest reachable moment in a provider's lifecycle: they're setting up a practice, choosing which reps and samples and formularies they'll work with, and no competitor has a claim on them because there's no claims history to buy. It's scoped to your states — the enrollment feed carries no specialty — so it's a territory watch rather than a specialty cut, but every name is a provider you can reach before their first script under the new enrollment. A pending enrollment on its own is quiet; recognizing it as the pre-billing outreach window is where a first-mover rep gets in ahead of everyone reading stale claims data.

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Providers who left — open territory & list hygiene

NPI deactivations across your states — a departed provider is both an account to backfill and a stale CRM row to suppress.

How this Parse works

Track NPI deactivations from the weekly NPPES feed across your states. A deactivation does two jobs at once: it's a whitespace signal — a provider leaving a practice opens the account for whoever their patients and referrals move to — and it's list hygiene, suppressing a name your CRM would otherwise keep chasing. Reps and sales ops both live off this: the departure tells you a territory just changed hands, often before the replacement is even hired, and keeping the deactivations flowing means the target list never rots. Geography is all you need — you match deactivations against your own book — so it works the week the record posts rather than being discovered on a bounced call.

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Proven Lists

22 cross-referenced clinical & diagnostic labs Lists

Cross-referenced data sets compiled annually. These cross several official records that publish once a year — you get the whole matched list at each release, not a daily stream. Open the chevron to see how it works, then open it in the builder to set your territory and filters.

Hospitals reporting a capital-equipment spending jump

Facilities whose cost reports show a movable-equipment capex jump — a documented capital window for imaging, surgical, and lab device sales.

How this Parse works

Read each facility's filed cost report for a jump in movable-equipment capital spend against its own prior filing. Device cycles are long and mostly invisible from outside, so reps call on a schedule rather than on evidence. A capex jump in the equipment line is dated evidence that a facility has budget moving through it right now — a replacement cycle, a service-line build, a renovation. It says nothing about what they bought, which is the point: it tells you which accounts are in a buying window this year, and the specific line item gives a rep something concrete to open on.

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Physicians already receiving industry payments in a specialty

Prescribers a manufacturer's peers are already engaging through consulting, speaker, or advisory payments — the reachable, industry-friendly audience — read from CMS Open Payments and cross-referenced to Part D prescribing volume.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Prescribers a manufacturer's peers are already engaging through consulting, speaker, or advisory payments — the reachable, industry-friendly audience — read from CMS Open Payments and cross-referenced to Part D prescribing volume.

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Whitespace prescribers not yet paid by industry

High-volume prescribers in a specialty who carry NO Open Payments record for a payment category — the greenfield a smaller or newer brand can reach before competitors lock them in. Recipient-side whitespace joined to Part B utilization.

How this Parse works

High-volume prescribers in a specialty who carry NO Open Payments record for a payment category — the greenfield a smaller or newer brand can reach before competitors lock them in. Recipient-side whitespace joined to Part B utilization.

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Prescribers whose industry engagement jumped this year

Physicians whose Open Payments totals rose sharply against their own prior-year baseline — a documented shift in who is already courting them.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Compare each physician's Open Payments total against their OWN total for the prior performance year, and keep the ones whose figure rose sharply. An absolute dollar total mostly tells you who is famous; a year-over-year jump tells you something changed — a competitor started investing in that relationship, the physician took on advisory or speaking work, or a new therapeutic interest opened up. Either reading is actionable: a rising line against a rival's brand is an account being taken, and a rising line in your own class is a physician signalling engagement before their prescribing moves. The baseline is the same doctor a year earlier, so a big practice does not crowd out a smaller one that genuinely shifted.

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High-volume prescribers of a competitor's drug

The prescribers writing the most claims for a named brand or its generic — the audience to convert when promoting a competing therapy. Read from Medicare Part D and joined to Part B utilization for reach.

You provideSpecific drug or Drug class— required for this Parse
How this Parse works

The prescribers writing the most claims for a named brand or its generic — the audience to convert when promoting a competing therapy. Read from Medicare Part D and joined to Part B utilization for reach.

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Prescribers of a therapeutic drug class (GLP-1, SGLT2, …)

Every Medicare Part D prescriber writing in a named drug class — GLP-1 (Ozempic / Wegovy / Mounjaro / Zepbound / Trulicity), SGLT2, DPP-4, or statins — with their claim volume, specialty, and state. The class-level target list a brand team builds a launch or share-of-voice campaign around. Read from the CMS Part D by-Provider-and-Drug file, class-expanded server-side.

How this Parse works

Every Medicare Part D prescriber writing in a named drug class — GLP-1 (Ozempic / Wegovy / Mounjaro / Zepbound / Trulicity), SGLT2, DPP-4, or statins — with their claim volume, specialty, and state. The class-level target list a brand team builds a launch or share-of-voice campaign around. Read from the CMS Part D by-Provider-and-Drug file, class-expanded server-side.

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Heavy class prescribers who already engage with industry

Physicians who both prescribe heavily in the target class and already carry an Open Payments record — pre-qualified, reachable names.

How this Parse works

Intersect Part D prescribing volume in the target drug class with Open Payments records for the same physician, keeping only those who appear in both. Volume alone gives you a long list where most names have never engaged with a manufacturer and may never take a meeting. An engagement record alone gives you willing physicians who may not write in your class at all. The overlap is the short list a brand team actually wants: a doctor who demonstrably prescribes where your product competes AND has already accepted industry contact, so the ask is a next conversation rather than a first one. Both legs come off the same NPI, so the match is the physician, not a name collision.

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New prescribers in a state, ranked by class concentration

Providers newly enumerated or newly billing within a state, with their Part D class concentration attached so the list arrives prioritized.

How this Parse works

Take the providers who were newly enumerated or who just began billing Medicare inside a chosen state, then attach each one's Part D concentration in the class you sell. New-provider lists are cheap and mostly noise — residents, locums, administrative records, and clinicians who will never write your class. Joining the concentration figure turns that raw arrival feed into a ranked call list: the same freshness advantage, but ordered by how much of the specialty's prescribing each new name actually carries. You reach the new prescribers who matter first, while the territory is still unclaimed, instead of working alphabetically through a roster.

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Investigator density by specialty and state

Prescriber and utilization concentration by specialty and state — a density map for site feasibility, observational and never an investigator roster.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Cross Part D prescribing concentration with Medicare Part B utilization for the same specialty, then read the result by state. Site feasibility usually starts from relationships and prior-study lists, which over-weight the places a sponsor has already worked. Concentration measured off claims describes where the treating physicians and patient volume actually sit — including regions with no study history. This is explicitly a density proxy, not a roster of investigators: it says where the specialty's care is concentrated so feasibility and outreach start from the real distribution of patients, and it makes no claim about any physician's willingness or qualification to run a trial.

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High-volume prescribers in specialty-drug fields

Rheumatology, nephrology, oncology, and neighbouring specialties, filtered to the prescribers actually carrying volume — the audience for specialty and rare-disease brands.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

Filter Part D prescribing to the specialties that carry specialty-drug and rare-disease therapy — rheumatology, nephrology, oncology and their neighbours — then keep only the physicians clearing a real claims threshold within them. A specialty roster on its own is mostly a directory: many listed physicians write little or nothing in the therapy area, and a rare-disease team burns its small field force discovering that one visit at a time. Adding the volume threshold leaves the concentrated prescribers who account for most of the class's actual claims, which for a narrow indication is often a few hundred names nationally rather than tens of thousands.

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Newly-billing providers already concentrated in a specialty drug class

Providers who just started billing Medicare and already show a concentrated specialty prescribing footprint.

RecommendedPrescriber specialtyDrug category (rollup)— sharpens this Parse to match its name
How this Parse works

One leg catches a provider's first appearance on the CMS Medicare Order & Referring file — the day they effectively turn on. The other reads a concentrated Part D specialty prescribing footprint, showing they're already writing heavily in one lane. A newly-billing provider is a fresh name, but most are generalists you can't act on; requiring an immediate specialty concentration isolates the ones who arrive already focused — high intent from day one. That's the first-mover list a specialty rep or hub-services team wants: fresh, reachable, and clearly practicing in your category before any competitor has claimed them. A billing debut crossed with a prescribing pattern to catch intent at the earliest possible moment.

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High-volume Medicare providers already taking industry payments

High-volume Medicare providers who also appear as Open Payments recipients — established, reachable KOLs with a track record.

How this Parse works

One leg reads high CMS Medicare Part B service volume — the established, high-throughput providers; the other reads a CMS Open Payments record, confirming a documented history of engaging with industry. Volume tells you they matter; the payments record tells you they're approachable and have a relationship pattern already. A high-volume provider with no engagement history is a hard target; one who already appears in Open Payments is a known, reachable KOL. Crossing a utilization file with a payments file isolates the providers who are both worth reaching and demonstrably willing — the reachable heavyweights, not just the busy ones.

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New prescribers who are already industry-engaged the day they turn on

Providers newly billing Medicare who already carry a CMS Open Payments record — a fresh prescriber who's demonstrably reachable.

How this Parse works

The primary leg catches a provider's first appearance on the CMS Medicare Order & Referring file; the intersect leg confirms they ALREADY carry a CMS Open Payments record. New-to-Medicare providers are the freshest names in the territory, but freshness is worthless if you can't get in the door — and the payments record proves this one already engages with industry. A newly-billing provider who's demonstrably reachable the moment they appear is the first-mover list every field rep wants and few can build. It exists only where a billing-debut file and a payments file overlap — a fresh prescriber and a proven open door, on the same record.

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Whitespace prescribers with high volume and no industry relationship yet

High-volume prescribers with NO Open Payments record in a category yet — reachable greenfield, sized by real Part B volume.

How this Parse works

This one inverts the usual read. The primary leg finds providers with NO CMS Open Payments record in a given category — the whitespace no competitor has engaged. The intersect leg reads high CMS Medicare Part B utilization, so the whitespace is real reach, not an empty desk. High volume with an existing industry relationship is already claimed; high volume with a clean slate is the greenfield a newer brand can reach before anyone locks it in. Most targeting chases the physicians everyone already pays; this deliberately finds the busy, unengaged ones — the openings that close fast once a competitor arrives. A payments-absence signal crossed with a volume signal to map the reachable open field.

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Therapeutic-class prescribers who are also reachable KOLs

Heavy prescribers in a therapeutic class who already carry a CMS Open Payments record — pre-qualified, reachable physicians.

How this Parse works

One leg reads CMS Medicare Part D for physicians prescribing heavily within a specific therapeutic class; the other reads a CMS Open Payments general-payment record proving they already engage with industry. High prescribing shows intent and volume; an existing payments record shows they're reachable and industry-friendly — not a cold door. A class prescriber with no engagement history is a gamble; a class prescriber who already takes meetings is a warm, pre-qualified target for a brand-specific or class-specific message. Crossing a prescribing file with a payments file turns a specialty roster into the physicians most likely to actually pick up — sized by real Part D volume, not guesswork.

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High-volume prescribers of a competitor drug, with reach

The top prescribers of a named competitor drug who also carry high Part B utilization — a real, high-reach conversion audience.

You provideSpecific drug or Drug class— required for this Parse
How this Parse works

The primary leg reads CMS Medicare Part D for the physicians writing the most claims for a specific brand or its generic — the incumbents you'd want to convert. The intersect leg reads high CMS Medicare Part B utilization, confirming real patient reach behind the prescribing. A high Part D claim count alone can overstate a low-volume physician; requiring high Part B utilization on top of it sizes each prescriber by actual patient throughput. For a competing therapy, that's the conversion audience that matters — not just who prescribes the competitor, but who prescribes it AND treats enough patients to move the needle. Two Medicare files crossed to rank the switch targets by genuine reach.

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Specialty-concentrated prescribers who are already industry-engaged

Physicians whose Part D prescribing concentrates in a specialty and who already carry a CMS Open Payments record — a focused specialist who's demonstrably reachable.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

One leg reads CMS Medicare Part D for physicians whose prescribing concentrates heavily in a single specialty; the other reads a CMS Open Payments record proving they already engage with industry. Concentration tells you they practice squarely in your category; the payments record tells you the door already opens. A concentrated specialist with no engagement history is a cold call; one who already appears in Open Payments is pre-qualified and reachable. Crossing a prescribing-concentration file with a payments file isolates the focused specialists most likely to take the meeting — not just anyone who writes in the class.

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Heavy class prescribers with proven patient reach

Heavy therapeutic-class prescribers who also carry high Medicare Part B service volume — a heavy prescriber sized by real patient throughput.

How this Parse works

The primary leg reads CMS Medicare Part D for physicians prescribing heavily within a therapeutic class; the intersect leg reads high CMS Medicare Part B service volume, confirming real patient throughput behind the prescribing. A high class-claim count alone can overstate a low-volume physician; requiring high Part B utilization sizes each prescriber by actual patients treated. For a brand or class-specific message, that's the difference between a name on a class list and a prescriber whose reach can actually move volume — two Medicare files crossed to rank the class by genuine patient throughput.

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Specialty-concentrated prescribers with high patient volume

Specialty-concentrated Part D prescribers who also carry high Medicare Part B volume — a focused specialist whose patient throughput proves the practice is real.

RecommendedPrescriber specialty— sharpens this Parse to match its name
How this Parse works

One leg reads CMS Medicare Part D for physicians whose prescribing concentrates in a specialty; the other reads high CMS Medicare Part B service volume. Concentration shows focus; utilization shows the patient throughput is genuine and worth a call. A concentrated prescriber with thin volume is a small account dressed up; requiring high Part B utilization keeps only the focused specialists actually treating patients at scale. Crossing a prescribing-concentration file with a utilization file surfaces the specialists whose focus AND reach both check out.

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Industry-engaged class prescribers with proven reach

Industry-engaged therapeutic-class prescribers who also carry high Medicare Part B volume — a reachable, engaged prescriber with proven patient reach.

How this Parse works

The primary leg reads CMS Medicare Part D for physicians prescribing heavily in a therapeutic class who ALSO already take industry payments (an Open Payments match); the intersect leg reads high CMS Medicare Part B service volume. Engagement proves the relationship is warm; utilization proves the patient reach is real. A heavy prescriber who's both already reachable and demonstrably high-volume is the warmest target in the class — the physician a rep should call first. Two Medicare files plus a payments cross to isolate the engaged prescribers whose throughput actually matters.

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Rising-payment prescribers with proven patient reach

Prescribers whose CMS Open Payments engagement rose year-over-year who also carry high Medicare Part B volume — warming industry relationships with proven reach.

How this Parse works

One leg reads a year-over-year increase in a physician's CMS Open Payments engagement — a relationship that's warming, not static; the other reads high CMS Medicare Part B service volume, proving real patient throughput. A rising payments trend alone could be a single conference; high volume alone says nothing about receptiveness. Together they mark a high-reach prescriber whose industry relationships are actively growing — the moment a rep wants to be in the mix. A payments-trend signal crossed with a utilization file to find the warming, high-volume targets.

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Heavy class prescribers with rising industry payments

Physicians prescribing heavily in a therapeutic class on Part D who also show a year-over-year jump in industry payments — intent meeting rising engagement.

RecommendedDrug class— sharpens this Parse to match its name
How this Parse works

One leg reads CMS Medicare Part D for physicians prescribing heavily within a therapeutic class — real, volume-backed intent; the other reads a year-over-year jump in their CMS Open Payments total — engagement newly accelerating. High prescribing shows they matter; a payments spike shows industry is already leaning in and the door is warm. A heavy class prescriber with flat engagement is a cold call; one whose payments are climbing is a pre-qualified, reachable target moving in your direction. A prescribing file crossed with a payments-velocity signal to rank the physicians worth reaching first.

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Sample dataset

Real rows from the feed behind this vertical

A live slice of the public-record feed these Parses watch. Rows report counts and statuses as recorded — observational public records, not a consumer report, no FCRA use.

SourceDOL OFLC workforce filings (H-1B / PERM) — the official-record dataset behind this sample, one of the feeds powering Clinical & diagnostic labs Parses like New provider enumerations — nationwide.

dateemployerjob_titlesocworksite_citystatevisa
2026-03-01Methodist Le Bonheur HealthcareMedical Laboratory Scientist II29-2011.00N/A
2026-03-01Methodist Le Bonheur HealthcareMedical Laboratory Scientist II29-2011.00N/A
2026-03-01Methodist Le Bonheur HealthcareMedical Laboratory Scientist II29-2011.00N/A
2026-03-01Methodist Le Bonheur HealthcareMedical Laboratory Scientist II29-2011.00N/A
2026-03-01Methodist Le Bonheur HealthcareMedical Laboratory Scientist II29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01NY Northern Pharmacy, LLCPharmacist29-1051.00FlushingNY
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A
2026-03-01Management Health Systems, LLCMedical Technologist29-2011.00N/A

SampleReal OFLC filings for laboratory and clinical roles (SOC 29-xxxx). Swap the feed and filters on /build.

Download sample (CSV)

What you get

Benefits

  • New CLIA certificates and certificate upgrades.
  • Labs expanding testing scope and complexity.
  • Provider enumerations that open lab territory.

Who it's for

Teams that use this

  • Lab-equipment and reagent sellers
  • LIS / informatics vendors
  • Reference-lab BD

How it helps

From record change to action

  • Time equipment pitches to a scope expansion.
  • Reach a lab as it upgrades, not a quarter later.

Time & money saved

What it replaces

Replaces manual CLIA registry watching with a dated alert.

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