medical device tamper / clinical IoT — methodology

what evidence exists and how fast it dies

the first 10 minutes

1. isolate the suspect device from network write paths — quarantine config push, not just the patient cable.
2. photograph device label (udi, serial, firmware) before biomed touches settings.
3. export pump / monitor / ventilator session logs from the unit or central station — hash immediately.
4. pull udi inventory record for the bedside location — confirm serial matches the physical unit.
5. collect break-glass audit for the patient and unit during the reported window.
6. preserve cmms baseline config snapshot if biomed has one — do not accept a post-incident re-export alone.
7. flag alarm silence or threshold-change events that precede the adverse event timestamp.
8. notify clinical engineering and risk management with a factual device timeline — not a root cause yet.
9. document collector, time, and hash for every export — first custody row goes in now.
10. begin the path below.

the path

1. 1. insulin pump log forensic analyzer

   medtronic / tandem csv export. parses bolus deliveries, basal rate changes, occlusion alarms, and remote-config events tied to session timestamps.why first: dose integrity starts at the pump — unauthorized basal or bolus changes are patient-safety events, not data theft.

2. 2. philips intellivue monitor alarm log forensic analyzer

   intellivue alarm export. surfaces arrhythmia alerts, threshold edits, alarm silence windows, and nurse-ack gaps across the bedside session.why second: alarm suppression hides clinical deterioration — the silence window often predates the reported adverse event.

3. 3. medical device udi tracking log forensic analyzer

   udi scan + inventory export. maps implant lot, serial, location chain, and swap events — flags devices present on unit without matching intake record.why third: swapped or unregistered hardware is a common vector for config tamper — udi chain proves which physical unit produced the logs.

4. 4. hipaa break glass access log forensic analyzer

   break-glass / emergency access export. parses reason codes, patient context, approver identity, and session duration for override events.why fourth: break-glass is legitimate until it isn't — correlate override sessions to device config changes and alarm silences on the same patient.

5. 5. log authenticity scorer

   exported device or audit log text. scores out-of-order timestamps, mixed line endings, and injection markers against expected vendor format.why fifth: vendors re-export logs after incidents — authenticity flags go to biomed and counsel before you cite dose or alarm counts.

6. 6. case report generator

   structured case metadata + hashed evidence files. produces a defensible pdf timeline with examiner, collection dates, and finding summaries.why last: device tamper cases face fda, risk management, and patient-safety review — the report bundle is what survives the handoff.

cross-correlation

after the path, drop every csv/json export into fatcousin-multi-tool-super-timeline-correlator. one timestamp-sorted view across dose change, alarm silence, break-glass override, and UDI swap — the override session should sit next to the threshold edit row, not in separate vendor portals. then run device serials, session ids, and log file hashes through fatcousin-cross-export-ioc-hash-correlator to catch the same unit id in pump export and monitor log before biomed cites dose counts. still zero upload.

reference investigation