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TheraIntel Pharmacist Staffing-to-Demand Model · Generated
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How Many Pharmacists Does Your Volume Actually Need?

Directors defend staffing with gut feel because no accessible model exists. This one turns your order volume into a required FTE number, compares it to your current staff, and cross-checks against the national bed benchmark.

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Your Demand

Editable
Unsure? A hospital averages ~9 medication orders per occupied bed per day. 1,200 orders is roughly a 130-bed census.
All inpatient pharmacist FTEs, including management time spent staffing.
Pick the mix closest to your service lines. This sets the throughput below. Higher acuity means fewer orders cleared per hour and more required FTEs.
Published benchmark: inpatient generalists verify ~20 orders/hr, but ICU, peds, and oncology run lower.
Orders are not equal. A routine acetaminophen order and a vancomycin consult, pediatric chemotherapy order, anticoagulation intervention, or renal-adjusted antibiotic are not the same workload unit. Throughput is a blended average; consults and interventions belong in a separate workload bucket.
The biggest lever here. Studies put distributive time at 72 to 80% of a shift, but heavy clinical programs leave less time for order work, which raises required FTEs. Set this to your reality.
A planning choice, not a benchmark. Staffing to the raw average guarantees backlog at peak.
2,080 paid hours minus ~10% PTO and holidays.

Staffing Requirement

21,900 verification hrs/yr
Required pharmacist FTEs for your volume
17.9
vs your current 16.0 FTEs
1.9 FTE short of demand
112%demand vs current capacity
17.5directional bed comparator (13.1 per 100 beds)
75orders per pharmacist per day today
Your volume needs about 33,580 staffed pharmacist hours a year, including the surge buffer. At 1,880 productive hours per FTE, that is 17.9 FTEs. Workload-based staffing is the primary number here. The bed comparator is directional only. Workload-based is primary: order volume, acuity, service lines, automation, clinical model, and decentralized coverage vary too widely for a bed ratio to be authoritative. Benchmarks: throughput by case mix; ~9 orders per patient-day; 13.1 pharmacists per 100 occupied beds (directional).
Read this before you trust the number: the result hinges on the share of pharmacist time available for order work, set to 75% by default from CPOE-era time studies. If your clinical programs are heavy, real availability is lower and your required FTEs are higher. Open Advanced and set it to your operation.
~20 / hrOrders an inpatient generalist pharmacist verifies per hour (published productivity models).
13.1Pharmacist FTEs per 100 occupied beds, national average.
72 to 80%Share of a pharmacist shift spent on distributive work in time studies.
How we calculated this ▾
CoefficientDefaultSourceType
Orders verified per pharmacist-hour8 to 25Published productivity models, by case mixPeer-reviewed
Orders per occupied bed per day~9Hospital workload studyPeer-reviewed
Pharmacists per 100 occupied beds13.1National staffing benchmark (directional only)Directional
Distributive share of shift75%CPOE-era time studies: 72 to 80%Peer-reviewed
Peak / surge buffer15%Planning choice, user-set, labeled as suchPlanning
Productive hours per FTE1,8802,080 paid minus ~10% PTO/holidayPlanning

Workload-based staffing is the primary method. Verification hours = annual orders ÷ orders per hour. Staffed hours = verification hours ÷ distributive share, because only part of a pharmacist's shift is available for order work. Required FTEs = staffed hours × (1 + buffer) ÷ productive hours per FTE. The bed comparator is directional only: your order volume implies an occupied-bed census (orders ÷ 9) × 13.1 per 100 beds. Use it as a sanity check, not an authority, because order volume, acuity, service lines, automation, clinical model, and decentralized coverage vary too widely. Throughput should not treat all orders as equal; consults, kinetics, anticoagulation, TPN, and renal dosing are heavier and belong in a separate workload bucket. When the two methods diverge, the workload number wins. Sources: Evolving Pharmacist Productivity Models (PMC), Hospital Pharmacy Staffing Benchmarks, CPOE pharmacist time study (PMC).

Your inputs and results

Assumptions last reviewed: June 2026

This is a planning model, not a budget or a staffing mandate.

Workload-based staffing is the primary output; the bed comparator is directional. Validate the inputs against your operation before taking the number to budget.

  • Whether you input verified orders, total med orders, or all queue items
  • Throughput against your real case mix and acuity
  • Productive hours per FTE (PTO, holidays, education, sick, admin)
  • Whether the 15% surge buffer covers weekends, admissions, ED spikes
  • Consults and interventions as a separate workload bucket
  • The bed ratio as a sanity check only, not an authority
TheraIntel · theraintel.com · Pharmacist Staffing-to-Demand Model. This is a planning estimate generated from your inputs and the cited default assumptions, not a budget or staffing mandate. Workload-based is primary; the bed comparator is directional. Assumptions last reviewed June 2026.

Take a defensible number into your next budget meeting.

Bring your result. We will pressure-test the assumptions against your order mix, acuity, peak curves, and clinical program load, and turn it into a board-ready staffing model.

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