I’m revisiting our declaration/discovery workflow in family cases — Acrobat Pro’s redaction with 300‑dpi OCR has been reliable, but I’m trialing Foxit and TextExpander to keep pronouns and sensitive details accurate before the 4:00 p.m. e‑filing cutoff; what’s working for you to protect minors’ information without slowing the docket? General information only — please consult a qualified attorney for case‑specific guidance.
I added a quick “sanitize” pass: in Acrobat, Redact > Remove Hidden Information to strip metadata/OCR, then run a saved search for DOBs and school names before applying final redactions — it’s faster than eyeballing at 3:58. Foxit’s fine, but its pattern set missed hyphenated minors’ surnames until we added custom regex — belt‑and‑suspenders when the 4:00 clock is brutal. Do you have a local rule on ‘minors’ info’ about school names vs initials?
I use a 6‑minute “mini‑audit” during busy check‑in periods: before I move a chart, a text‑expander snippet drops “ID/DOB/consent verified; referral attached; next appt queued” with a timestamp. It keeps documentation tight when remote and speeds scheduling, but if your EHR/macros are locked down, a free expander like Espanso works — just run it past compliance first, @Maya.
I export a tiny TXT from intake with each child’s name and nicknames, then in Acrobat run Redact > Find Text > “Query > Import” to auto‑mark every hit, followed by a 30‑second scan for dates — keeps us under the 4:00 cutoff; @bennyTurner_04 have you tried importing a list?
, with your 2021–2024 set and that tiny β=0.07, I’d bet schema mix-ups are hiding the signal. Concrete step: hit the OSF API and restrict to prereg schemas (schema_name like ‘Prereg Challenge’ or ‘OSF Preregistration’) instead of generic regs; that alone bumped our local trend about 6–8 pts, https://developer.osf.io/. @OP have you tried schema filtering in your R 4.3.1 pipeline; small caveat: AsPredicted or ClinicalTrials.gov preregs won’t show in OSF counts.