Your pharmacists already know. Your software should too.

One HIPAA-compliant interface. Real-time formulary checks, controlled substance tracking, and 21 CFR Part 11 audit trails — from first keystroke to dispensing event.

Run Your Pharmacy's Benchmark View Spec Sheet

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01 / INTEGRATION

Integration

API connectivity, EHR handshakes, and HL7 FHIR R4 compliance.

99.97%

API uptime SLA

Legacy e-prescribing stacks average 3.2 discrete system logins per fill event. Prescribe presents a single authenticated session across formulary, DEA scheduling, and prior auth — one token, one audit trail.

Metric	Legacy Baseline	Prescribe	Delta
EHR integration methods	HL7 v2.x only	FHIR R4 + HL7 v2.x	+R4 native
Avg. systems per fill event	3.2 systems	1 session	−69%
NDC database refresh cycle	Weekly batch	Real-time push	−7 days lag
Surescripts connectivity tier	Level 1 (basic)	Level 4 (full)	+3 tiers
API uptime SLA	99.5% typical	99.97% guaranteed	+0.47%
Webhook event latency (p95)	1,400 ms	180 ms	−87%

* Legacy baseline derived from ASHP 2024 Pharmacy Informatics Survey (n=1,247 pharmacy directors). NDC refresh cycle measured across Surescripts, DrFirst, and Allscripts production environments.

02 / COMPLIANCE

Compliance

21 CFR Part 11, HIPAA Security Rule, DEA EPCS, and state PMP reporting.

0 FTE

Validation overhead

The median health system spends 1,840 staff-hours per year on e-prescribing audit preparation. Prescribe generates IQ/OQ/PQ documentation continuously — not retrospectively.

Metric	Legacy Baseline	Prescribe	Delta
21 CFR Part 11 validation status	Manual IQ/OQ/PQ required	Pre-validated out-of-box	−1,840 hrs/yr
DEA EPCS two-factor auth	Hardware token only	Token + biometric + push	+2 factors
Audit trail retention	2 years (typical)	7 years (21 CFR default)	+5 years
State PMP auto-reporting	12 states integrated	50 states + DC	+38 states
HIPAA breach detection (MTTD)	72 hours median	< 4 minutes	−99.9%
Validation team FTEs required	2.5 FTE minimum	0 — included	−2.5 FTE

* Audit-hour estimate based on FDA 510(k) submission data and HIMSS 2025 Compliance Benchmarking Report. MTTD measured in Prescribe production environments Jan–Dec 2025 (n=84 health systems).

03 / SPEED

Speed

Formulary lookup latency, prior auth queue throughput, and fill-to-dispense cycle time.

4.2s

Formulary lookup

A 38-second formulary lookup is not a UX problem — it is a patient safety problem. At 200 fills per shift, that is 2.1 hours of pharmacist time consumed by a spinner.

Metric	Legacy Baseline	Prescribe	Delta
Formulary lookup (p50)	38s industry median	4.2s	−89%
Prior auth submission time	23 min manual avg	< 90 seconds	−93%
Prior auth approval cycle	3.2 days median	4.1 hours (electronic)	−95%
Drug interaction check (p95)	1,200 ms	< 200 ms	−83%
Fill-to-verify cycle time	8.4 min per Rx	3.1 min per Rx	−63%
Queue backlog reduction (30 days)	Baseline	−47% avg	−47%

* Formulary lookup latency measured via synthetic monitoring across Surescripts, DrFirst, and Allscripts production APIs, Q4 2025. Prior auth cycle time from CMS 2024 Prior Authorization Burden Report. Prescribe figures from production telemetry (p50/p95 across 84 health system customers).

03 / BENCHMARK

Run your pharmacy's baseline report.

Three fields. We calculate your current system's cost-per-fill, error exposure, and compliance gap against Prescribe's validated benchmarks.

04 / ACCURACY

Accuracy

Error rates per 1,000 fills, DDI miss rate, and dosing override frequency.

1.4

Errors / 1k fills

The Institute for Safe Medication Practices estimates 1 in 100 e-prescriptions contains a clinically significant error. Prescribe's dual-model DDI engine cross-references FDA Orange Book, Lexicomp, and real-time NDC data simultaneously.

Metric	Legacy Baseline	Prescribe	Delta
Clinically significant errors / 1,000 fills	10.0 (ISMP baseline)	1.4	−86%
DDI miss rate (major interactions)	3.8% miss rate	0.07% miss rate	−98.2%
Dosing override frequency	14.2% of fills	4.1% of fills	−71%
Formulary substitution accuracy	81% correct	99.3% correct	+18.3%
Allergy cross-reference coverage	Drug class only	Molecular + class	+molecular
Controlled substance diversion flags	Manual review	ML-scored, real-time	+automated

* Error rate baseline from ISMP Medication Error Reporting Program 2024 Annual Report. DDI miss rate tested against FDA-approved Orange Book dataset (n=14,200 interaction pairs). Prescribe figures from de-identified production data, 12-month rolling average ending Jan 2026.

05 / COST

Cost

Total cost of ownership: licensing, validation overhead, integration labor, and error-related liability.

−70%

3-year TCO delta

Licensing is rarely the largest line item. For a 400-bed system, integration labor and annual validation maintenance typically exceed the platform fee by 3.4×. Prescribe's TCO model inverts this.

Metric	Legacy Baseline	Prescribe	Delta
Annual platform licensing (400-bed)	$280k–$420k	$180k–$240k	−36%
Integration labor (year 1)	$320k avg	$40k avg	−88%
21 CFR Part 11 validation cost	$180k–$400k	$0 (included)	−100%
Annual compliance maintenance	$95k–$140k	$0 (managed)	−100%
Error-related liability exposure	$1.2M avg/yr	$175k avg/yr	−85%
3-year TCO (400-bed system)	$4.8M–$6.2M	$1.3M–$1.9M	−70%

* TCO model derived from Black Book Research 2025 Healthcare IT Spending Report and KLAS Pharmacy Informatics data. Error liability estimate based on ECRI Institute malpractice database (medication errors, 2023–2025). Prescribe figures reflect median customer outcomes, not guaranteed results.

Full Spec Sheet (PDF)

42-page technical specification including full API reference, 21 CFR Part 11 validation matrix, HL7 FHIR R4 mapping tables, and DEA Schedule II–V tracking schema.