The number to look at
10 of 30 enrolled participants have no records at all, they consented, answered at least one module, and then either did not start the records step or did not finish it. That gap is the single most common surprise in registry operations, and it is a design problem rather than a participant failing. Plan for it in your power calculation and in your follow-up workflow.
EHR record status EHR
One row per participant, tracking electronic health record acquisition only. The modules column alongside it is survey progress Survey. The two advance independently, and a participant can be complete on one and absent on the other.
Reports
Enrollment over time
New participants per quarter. A flat or declining curve after an initial launch spike is the normal pattern, and the reason recruitment needs an owner rather than a campaign.
Survey module completion Survey
Completions out of 30 enrolled. The fall-off after the first two modules is typical and is why sequencing drives completion. Whatever you most need answered should not be module five.
How EHR records arrived EHR
EHR records received by category EHR
Counts across the whole cohort. Labs and vitals dominate every EHR-derived dataset; conditions and medications are far scarcer and are usually what the research question actually needs.
Data quality indicators
Track these every load and set a threshold that fails the run rather than being noticed afterward. Note that a mapped rate says nothing about whether a mapping is correct, only clinical spot review catches that.