How do you calculate eDHR completion rate?

Divide eDHRs released by total review hours to get raw throughput, then multiply by the right-first-time rate. With 120 records, 80 review hours and 78% RFT, raw throughput is 1.5/hr and effective rate is 1.17 records/hr.

What is right-first-time and why does it matter here?

Right-first-time is the share of eDHRs that pass review without correction. At 78% RFT, nearly a quarter of records require rework, dropping effective throughput from 1.5 to 1.17 records per hour.

What is a good eDHR completion rate?

It varies with record complexity, but pushing RFT above 90% is the usual target; that alone would lift the effective rate from 1.17 to about 1.35 records/hr at the same raw speed of 1.5/hr.

Raw throughput vs effective throughput, what's the difference?

Raw throughput (1.5/hr) counts every released record against review hours. Effective throughput (1.17/hr) discounts for rework, so it reflects the records that genuinely cleared review the first time.

How can we improve the effective rate?

Raise right-first-time by fixing data capture at the line, adding eDHR field validations, and training operators; this lifts effective throughput faster than just adding reviewer hours.

Does this replace cycle-time tracking?

No. It is a throughput-per-hour view. Pair it with end-to-end release cycle time to see both reviewer productivity and how long a batch waits in the queue.

MES, MOM & Shop-Floor Data Systems calculator

eDHR Completion Rate Calculator

eDHR Completion Rate measures how many electronic device history records your quality team actually clears per review hour after accounting for records that bounce back for correction. It is a core productivity metric for medical-device and regulated manufacturers running MES or eQMS-based batch release. Raw throughput flatters performance because it ignores rework loops, so the effective rate multiplies by the right-first-time (RFT) percentage to reflect records that pass review cleanly. Quality managers use it to staff review queues, spot documentation bottlenecks, and quantify the payoff of better at-line data capture.

What this calculator does

Measure how many electronic Device History Records (eDHRs) are completed and released per review hour, adjusted for the right-first-time rate.
Use in medical device manufacturing to assess eDHR review capacity. Helps determine if your quality team can keep pace with production or if review becomes a bottleneck before product release.
It computes effective eDHR review throughput per hour as raw records-per-hour scaled down by the right-first-time rate.

Formula used

Raw review throughput = eDHRs released / total review hours
Effective throughput = raw throughput x (right-first-time rate / 100)

Inputs explained

eDHRs completed and released:
Total review and approval hours:
Right-first-time rate:

How to use the result

Use it to size quality-review staffing, set release-cycle SLAs, or measure the impact of reducing eDHR defects.
It treats all eDHRs as equal effort; a complex implant batch record can take far longer to review than a simple single-component record.

Common questions

How do you calculate eDHR completion rate? Divide eDHRs released by total review hours to get raw throughput, then multiply by the right-first-time rate. With 120 records, 80 review hours and 78% RFT, raw throughput is 1.5/hr and effective rate is 1.17 records/hr.
What is right-first-time and why does it matter here? Right-first-time is the share of eDHRs that pass review without correction. At 78% RFT, nearly a quarter of records require rework, dropping effective throughput from 1.5 to 1.17 records per hour.
What is a good eDHR completion rate? It varies with record complexity, but pushing RFT above 90% is the usual target; that alone would lift the effective rate from 1.17 to about 1.35 records/hr at the same raw speed of 1.5/hr.
Raw throughput vs effective throughput, what's the difference? Raw throughput (1.5/hr) counts every released record against review hours. Effective throughput (1.17/hr) discounts for rework, so it reflects the records that genuinely cleared review the first time.
How can we improve the effective rate? Raise right-first-time by fixing data capture at the line, adding eDHR field validations, and training operators; this lifts effective throughput faster than just adding reviewer hours.

Last reviewed 2026-05-12.