Site data monitoring report

Synthetic Adaptive Platform Trial in Critical Illness

Askerup Hospital (DK-11), Denmark. Initiated 08 April 2024, 28 months ago. Report generated 28 August 2026 from data version working, rule set 455d0fba76e0.

What to do this week

  1. Resolve RNG-002: heart rate plausible - 5 records
    Heart rate must lie between 25 and 220 beats per minute.

  2. Resolve XDM-003: vital status consistent where windows agree - 5 records
    Where two domains share the same 30-day assessment date, they must report the same vital status.

  3. Resolve STR-004: single randomisation per domain - 3 records
    A participant must be randomised at most once within any single domain.

  4. Resolve RNG-003: temperature plausible - 2 records
    Core temperature must lie between 30 and 43 degrees Celsius.

  5. Resolve LOG-002: not alive after death - 1 record
    A daily record must not report the participant alive on a date after the recorded date of death.

  6. Resolve STR-003: participant id unique to one site - 1 record
    A participant identifier must be used at exactly one site.

  7. Resolve TMP-004: ae onset before randomisation - 1 record
    Adverse event onset must not precede the participant’s first randomisation datetime in any domain.

  8. Supply the missing randomisation date and time - 32 records
    The primary endpoint cannot be calculated for these participants at all, so they are absent from the analysis.

This list is the report. Everything below it is the evidence behind these items, and exists so that a query can be answered with “here is why we are asking” rather than “the system flagged it”.

Open findings

Severity Rule Name Findings Participants
critical RNG-002 heart_rate_plausible 5 5
critical XDM-003 vital_status_consistent_where_windows_agree 5 3
critical STR-004 single_randomisation_per_domain 3 2
critical RNG-003 temperature_plausible 2 2
critical LOG-002 not_alive_after_death 1 1
critical STR-003 participant_id_unique_to_one_site 1 1
critical TMP-004 ae_onset_before_randomisation 1 1
major STR-001 required_field_present 813 108
major LOG-001 no_gap_in_daily_records 7 7
major XDM-002 icu_admission_consistent_across_domains 1 1

Participants to follow up

Critical findings only, with the identifiers needed to act on them.

Completeness

Proportion of required, human-entered fields carrying a value, by the month of the clinical event. Identifiers and system-stamped dates are excluded: they are always present and would flatter the measure.

form Aug 2025 Sep 2025 Oct 2025 Nov 2025 Dec 2025 Jan 2026
adverse_events 100.0% 100.0% 100.0% 100.0% 100.0% NA
daily_icu 88.1% 91.9% 89.2% 89.3% 90.7% 92.9%
outcome_30d 100.0% 100.0% 100.0% 100.0% 100.0% 100.0%
randomisation 75.0% 93.8% 100.0% 93.8% 100.0% 75.0%
screening 82.5% 95.7% 91.7% 86.7% 86.7% NA

Timeliness

Days from the clinical event to entry into the EDC. Read this against the holiday column: entry slows around local public holidays in every country, and a report that ignores that generates queries nobody can act on.

This site against all sites

Compared at the same stage of participation, not on a calendar axis. A site in its third month is compared against every other site’s third month. Comparing a young site against an established one on calendar time penalises it for being young, which helps nobody.

Primary endpoint completeness

Days alive without life support at 30 days is the outcome every adaptive analysis reads. A day with no daily record counts as unknown, not as a day free of life support, so missing records understate the endpoint rather than inflating it.

Measure Value
Participant-domain records 127.00
Not evaluable (no randomisation date) 32.00
Complete 39.00
Incomplete (some days unknown) 56.00
Died within 30 days 36.00
Total unknown days 238.00
Mean, all records 14.18
Mean, complete records only 2.15

All data in this report is synthetic, generated by the code in this repository from a fixed seed. The site names are invented. This is an independent educational project with no affiliation to any real trial, hospital or research group.