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Industries · Medical & travel-nurse staffing

Medical & travel-nurse staffing

Target facilities off nurse-title filings, ownership changes, and new-provider enumerations in your regions.

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

Business developmentSourcingAccount management

Medical & travel-nurse staffing

Live

Employers filing for nurse titles, Sun Belt

Live signals · 10 Parses · updated daily

Prebuilt Parses

12 tight-signal Parses for medical & travel-nurse staffing

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.

Understaffed hospitals inside a designated shortage area

Hospitals whose FTE-per-bed staffing ratio fell year-over-year on their Medicare cost report (HCRIS Worksheet S-3) AND whose county/city is a designated Health Professional Shortage Area (HRSA HPSA). The two signals are crossed server-side in one pass (the HPSA designation is joined onto each hospital by geography), so it's the exact 'measured staffing drop inside a shortage area' set — the tightest, most defensible target list for locum / travel-nurse / physician-staffing firms and hospital workforce vendors.

How this Parse works

Hospitals whose FTE-per-bed staffing ratio fell year-over-year on their Medicare cost report (HCRIS Worksheet S-3) AND whose county/city is a designated Health Professional Shortage Area (HRSA HPSA). The two signals are crossed server-side in one pass (the HPSA designation is joined onto each hospital by geography), so it's the exact 'measured staffing drop inside a shortage area' set — the tightest, most defensible target list for locum / travel-nurse / physician-staffing firms and hospital workforce vendors.

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Understaffed hospitals that are also low-rated

Hospitals whose FTE-per-bed staffing fell year-over-year that also carry a 1-2 star CMS quality rating — understaffing meeting a measurable quality gap.

How this Parse works

One leg reads a hospital's Medicare cost report (HCRIS Worksheet S-3) for a year-over-year drop in FTE-per-bed — fewer staff for the same beds, an understaffing tell. The other reads a 1-2 star CMS Care Compare rating on that same facility. A staffing drop alone can be a lean year; a low rating alone can have many causes; together they mark a hospital where thin staffing and measurable quality pressure coincide — the clearest, most defensible moment for a clinician-staffing or workforce vendor to open a conversation. A cost-report staffing figure crossed with a quality rating, hospital-for-hospital.

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Large hospitals reporting a staffing decline

Hospitals with 100+ beds whose FTE-per-bed staffing ratio fell year-over-year — understaffing at a facility big enough to run a real staffing program.

How this Parse works

The primary leg reads a year-over-year FTE-per-bed decline on a hospital's HCRIS S-3 cost report; the intersect leg confirms the same facility carries 100 or more beds. A staffing drop at a tiny critical-access site is a small, one-nurse conversation; the same drop at a large hospital is a standing, high-volume staffing need with the budget behind it. Requiring scale filters the understaffing signal down to the accounts a locum or travel-nurse program can actually build around — a cost-report staffing decline crossed with a bed-count roster, on the same CCN.

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Large hospitals carrying a low quality rating

Hospitals with 100+ beds carrying a 1-2 star CMS quality rating — a large facility under measurable quality pressure with the budget to act.

How this Parse works

One leg reads a 1-2 star CMS Care Compare rating; the other confirms the same hospital carries 100 or more beds. A low rating at a tiny facility is a limited opportunity; the same rating at a large hospital is a facility with both a measurable problem and the budget to address it — the accounts where a workforce vendor or clinician-staffing program has the strongest case. Crossing the quality rating with a bed-count roster isolates the big, under-pressure hospitals worth prioritizing, hospital-for-hospital.

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Large, low-rated hospitals reporting a staffing decline

Large hospitals reporting a staffing decline AND a 1-2 star rating — understaffing, a quality gap, and the budget to fix it, all on one facility.

How this Parse works

This is a three-way cross on one hospital. One leg reads a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report; another reads a 1-2 star CMS Care Compare rating; the third confirms 100 or more beds. Any one alone is a partial picture — thin staffing, a quality gap, or mere size. All three on the same facility mark a large hospital where understaffing and measurable quality pressure meet the budget to act — the sharpest clinician-staffing target the data can assemble, three CMS records agreeing on one CCN.

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Understaffed hospitals investing in capital equipment

Hospitals whose FTE-per-bed staffing fell year-over-year that also report a movable-equipment capex jump — a facility thinning staff while spending capital.

How this Parse works

One leg reads a year-over-year FTE-per-bed decline on the hospital's HCRIS S-3 cost report — an understaffing tell; the other reads a movable-equipment capex jump on the same facility. Cutting staff while investing capital is the signature of a hospital consolidating, re-tooling, or shifting its care model — exactly when staffing needs move fast and a workforce vendor has a live conversation. A cost-report staffing figure crossed with a capex signal, hospital-for-hospital.

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Understaffed, low-rated hospitals with a fresh capital budget

Hospitals with a staffing decline, a 1-2 star rating, AND a fresh capital budget — understaffing and a quality gap meeting active capital spend.

How this Parse works

A three-way cross on one hospital: a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report, a 1-2 star CMS Care Compare rating, and a movable-equipment capex jump. Thin staffing and a quality gap say the pressure is real; the capex says the money to respond is already moving. A facility showing all three is mid-transformation — the moment a clinician-staffing program's pitch lands hardest, read across three CMS records on one CCN.

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Large understaffed hospitals with a fresh capital budget

Large hospitals with a staffing decline AND a fresh capital budget — a big facility thinning staff while investing capital.

How this Parse works

A three-way cross on one hospital: a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report, a 100+ bed footprint, and a movable-equipment capex jump. Scale means the staffing program has room to run; the decline means the need is real; the capex means the budget is already in motion. A large facility investing capital while its staffing thins is a scale-plus-need-plus-budget target, read across three CMS records on one CCN.

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Large, low-rated hospitals with a fresh capital budget

Large, low-rated hospitals with a fresh capital budget — scale, a quality gap, and active capital spend on one facility.

How this Parse works

A three-way cross on one hospital: a 100+ bed footprint, a 1-2 star CMS Care Compare rating, and a movable-equipment capex jump. Scale means the budget is real; a low rating means there's a measurable reason to change; the capex means capital is already moving. A large, under-pressure hospital putting money to work is a facility where a workforce, workflow, or consulting seller has scale, motivation, and budget all at once — three CMS records on one CCN.

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Large, low-rated, understaffed hospitals investing capital

Large, low-rated, understaffed hospitals investing capital — the sharpest clinician-staffing target the data assembles, four signals on one facility.

How this Parse works

A four-way cross on one hospital: a year-over-year FTE-per-bed decline (HCRIS S-3), a 1-2 star CMS Care Compare rating, a 100+ bed footprint, and a movable-equipment capex jump. Any one is a partial picture; all four on the same facility mark a large hospital where understaffing, a quality gap, scale, and active capital spend converge — the single sharpest clinician-staffing target the data can assemble, four CMS records agreeing on one CCN.

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Understaffed hospitals running a busy emergency department

Understaffed hospitals that also report CMS emergency-department timeliness measures — thin staffing at a facility actively running an ED.

How this Parse works

One leg reads a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report; the other confirms the same hospital reports CMS emergency-department timeliness measures — it actively runs an ED tracked for throughput. Understaffing bites hardest where patient flow is relentless, and the ED is exactly that environment. Crossing the staffing-decline signal with the timely-care roster isolates the understaffed facilities running a busy emergency department — the sites where per-diem and travel-clinician demand is most acute — hospital-for-hospital across two CMS records.

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Understaffed hospitals whose ED throughput is moving

Understaffed hospitals whose emergency-department throughput shifted period-over-period — thin staffing at a facility whose ED flow is visibly moving.

How this Parse works

The primary leg reads a year-over-year FTE-per-bed decline on the HCRIS S-3 cost report; the intersect leg reads a period-over-period change in a CMS emergency-department throughput measure on the same hospital. A staffing drop tells you the workforce is thinning; a moving ED-throughput number tells you patient flow is actively changing — and a facility showing both is one where the staffing gap is translating into visible operational strain. That convergence is the moment ED and per-diem staffing sellers want to catch, read across a cost-report staffing figure and a CMS throughput delta.

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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 Medical & travel-nurse staffing Parses like Employers filing for nurse titles, Sun Belt.

dateemployerjob_titlesocworksite_citystatevisa
2026-03-01THE UNIVERSITY OF TULSAASSISTANT PROFESSOR OF COMPUTER SCIENCE25-1021.00TULSAOKH-1B
2026-03-01Skidmore, Owings & Merrill LLPDesigner17-1011.00New YorkNYH-1B
2026-03-01Skidmore, Owings & Merrill LLPIntermediate Designer17-1012.00San FranciscoCAH-1B
2026-03-01HCL AMERICA INCSenior Test Manager15-1299.09PlanoTXH-1B
2026-03-01Saggi Solutions IncIT Project Manager15-1299.09Greenwood VillageCOH-1B
2026-03-01HCL AMERICA INCTechnical Manager15-1299.09San AntonioTXH-1B
2026-03-01HCL AMERICA INCTechnical Specialist15-1299.08DurhamNCH-1B
2026-03-01Expedera IncSoftware Engineer15-1252.00Santa ClaraCA
2026-03-01Evalve, Inc.Senior Industrial Engineer17-2112.03Menlo ParkCA
2026-03-01Expedera IncSoftware Engineer15-1252.00Santa ClaraCA
2026-03-01Expedera IncSoftware Engineer II15-1252.00Santa ClaraCA
2026-03-01Eventbrite, Inc.FP&A Managers11-3031.00San FranciscoCA
2026-03-01Evelyn M. TaiHospitality Marketing Manager11-2021.00SunriseFL
2026-03-011stdibs.com, INC.Senior Manager, Display & Paid Social11-2021.00New YorkNY
2026-03-01Qualtrics, LLCLead Operations Program Manager41-9031.00ProvoUT

SampleReal nurse-title filing rows — the demand signal behind medical-staffing Parses.

Download sample (CSV)

What you get

Benefits

  • Nurse-title filings flag facilities and employers building clinical headcount.
  • CHOW events open a new-management staffing conversation.
  • New-provider enumerations point to sites coming online.

Who it's for

Teams that use this

  • Medical and travel-nurse staffing BD
  • Clinical sourcing teams
  • Account managers

How it helps

From record change to action

  • Reach a hiring facility with a documented demand signal.
  • Own the ownership-change window for a new staffing agreement.

Time & money saved

What it replaces

One staffing agreement covers the program; each scheduled check costs cents.

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