Industries · Pharmaceutical field sales
Pharmaceutical field sales
Reach prescribers the moment a new NPI is enumerated or a provider starts billing Medicare in your territory.
The moment it happens, you hear about it — dated and citable.
Pharmaceutical field sales
LiveNew FDA drug approvals to brief my reps
Live signals · 17 Parses · updated daily
Prebuilt Parses
12 tight-signal Parses for pharmaceutical field sales
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.
Newly-billing providers already concentrated in a specialty drug class
Providers who just started billing Medicare and already show a concentrated specialty prescribing footprint.
›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.
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.
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.
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.
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.
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.
›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.
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.
›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.
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.
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.
›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.
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.
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.
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.
›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.
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.
SourceMedicare Part D prescribers — the official-record dataset behind this sample, one of the feeds powering Pharmaceutical field sales Parses like “New FDA drug approvals to brief my reps”.
| npi | specialty | state | drug_class | claims_2024 |
|---|---|---|---|---|
| 1568638179 | Physician Assistant | FL | GLP-1 | 1059 |
| 1477824761 | Pharmacist | NM | GLP-1 | 938 |
| 1740965078 | Nurse Practitioner | IL | GLP-1 | 788 |
| 1669176046 | Nurse Practitioner | MO | GLP-1 | 703 |
| 1033869631 | Nurse Practitioner | NC | GLP-1 | 691 |
| 1982031449 | Physician Assistant | CT | GLP-1 | 674 |
| 1295420040 | Nurse Practitioner | AZ | GLP-1 | 670 |
| 1720659758 | Nurse Practitioner | MS | GLP-1 | 665 |
| 1538846472 | Physician Assistant | NY | GLP-1 | 628 |
| 1972203404 | Nurse Practitioner | MS | GLP-1 | 627 |
| 1851034136 | Physician Assistant | TN | GLP-1 | 558 |
| 1871293514 | Physician Assistant | AZ | GLP-1 | 537 |
| 1821876731 | Nurse Practitioner | OH | GLP-1 | 496 |
| 1346015450 | Nurse Practitioner | NY | GLP-1 | 494 |
| 1912780123 | Nurse Practitioner | AZ | GLP-1 | 489 |
SampleReal Medicare Part D prescribers — new-to-class GLP-1 writers by NPI, specialty, and state. Swap the feed and filters on /build.
Official records
Also queryable for this vertical
Beyond the Parse feeds, these official records are queryable directly on the metered API — pay per call, observational records with dates, signed provenance on every response.
FDA drug approvals
LiveNew Drugs@FDA applications and supplements (NDA/ANDA/BLA) by sponsor company.
/v1/fda/drug-approvals/searchClinical trials
LiveClinicalTrials.gov interventional, industry-sponsored studies by lead sponsor, phase, and status.
/v1/trials/searchFDA recalls
LiveopenFDA drug enforcement (recall) reports by recalling firm.
/v1/fda/recalls/searchManufacturer Open Payments
HealthparseWhich manufacturers are paying which physicians, by specialty and state — served by the Healthparse gateway.
What you get
Benefits
- New-prescriber alerts the day an NPI is enumerated in your territory, not a quarter later.
- Medicare newly-billing events flag providers who just turned on a revenue line.
- NPI deactivations keep your call list and mailing suppression current automatically.
Who it's for
Teams that use this
- Pharma field-sales reps and district managers
- Market-access and commercial-ops teams
- Specialty-pharmacy and hub-services BD
How it helps
From record change to action
- Territory alignment stays live: every new NPI, billing change, and ownership change lands as a dated alert.
- Reps walk in with a reason to call — a fresh, verifiable record change — instead of a stale roster.
Time & money saved
What it replaces
Replaces a periodic NPPES/Medicare pull and manual roster diffing — the daily check of your territory it automates costs a fraction of one rep-hour.
Subscribe to a pharmaceutical field sales Parse
Whenever a new company fits your Parse, we notify you — by email, webhook, or Zapier. Start from a prebuilt example above or build your own.