Regulated MedTech engineering cannot rely on linear document handoffs or retrospective compliance cleanups. PMX OS executes a closed-loop, 8-step operational pipeline that ingests data from your existing tools, extracts semantic meaning, models multi-hop risk consequences, and enforces human decision authority backed by cryptographic audit proofs.
PMX OS establishes bi-directional event listeners across your existing enterprise engineering and quality stack. Rather than forcing teams to migrate data into a proprietary database, PMX OS acts as a non-destructive intelligence overlay. It continuously monitors and ingests changes from Jira issue trackers, Jama Connect and Polarion requirements repositories, PTC Windchill and Arena PLM systems, GitHub/GitLab repositories, and quality management systems like MasterControl or Veeva Vault.
The ingestion pipeline normalizes heterogeneous data formats—including JSON, XML, STEP CAD geometry, markdown, C/C++ source trees, and PDF lab test reports—into a unified stream of event payloads. Every ingested event is cryptographically hashed and indexed against the source system's commit ID or revision timestamp, ensuring zero data loss and absolute source fidelity.
8a9f4c1 is merged into the release branch and an engineering ticket (CHG-1024) is raised in Jira, PMX OS receives real-time webhooks, ingests the pinout schematic, and triggers automated pipeline analysis.
Raw text, code, and schematic drawings are inherently ambiguous. In the Understand stage, PMX OS parses ingested artifacts using specialized medical device entity extractors. The system extracts quantitative parameters, electrical tolerances, software function signatures, hazard terms, and clinical intent, translating unstructured human prose into strongly-typed ontological entities.
The engine automatically constructs semantic relationships between extracted entities. It recognizes that requirement REQ-0184 ("Device shall maintain surface contact temperature below 41.0°C") is implemented by hardware component S-18, polled by embedded firmware function read_adc_temperature(), and intended to mitigate hazard RSK-0044.
Sensor S-22 datasheet parameters: Operating Voltage: 1.8V - 3.3V, I2C Clock: 400kHz, Thermal Dissipation: 0.45mW. Automatically links component to electrical schematic netlist.
Medical devices do not exist in a vacuum; they must comply with a dense web of international standards, guidance documents, and jurisdictional regulations. In the Contextualize stage, PMX OS maps extracted product entities to our comprehensive graph of harmonized standards, including IEC 60601-1 (medical electrical safety), ISO 14971 (risk management), IEC 62304 (software lifecycle), ISO 10993 (biocompatibility), and FDA 21 CFR 820 / EU MDR 2017/745.
The system annotates design elements with specific normative clauses. When evaluating skin-contact temperature, PMX OS binds requirement REQ-0184 directly to IEC 60601-1-11 Clause 11.1.2.2, embedding the precise legal limit and mandatory test condition into the living digital twin of the device.
REQ-0184 → bound to IEC 60601-1-11:2015 Clause 11.1.2.2 (Max 41.0°C surface limit for continuous skin contact >10 min).
Whenever an engineering modification, supplier component change, or firmware update is proposed, the Analyze stage executes graph traversal algorithms across the multi-relational network. It sweeps outwards from the modified node to calculate the complete transitive blast radius across all 8 regulated domains.
The engine identifies direct (first-order) dependencies and subtle multi-hop downstream impacts. For instance, replacing thermistor S-18 with S-22 triggers a hardware specification change, which alters an ADC polling timing requirement, which invalidates a thermal stress bench verification protocol (V-0183), which impacts substantial equivalence in FDA 510(k) submission K240982.
Black-box AI is unacceptable in safety-critical medical engineering. In the Explain stage, PMX OS generates detailed impact rationales and evidence binders. Every finding generated by the system is accompanied by an explicit provenance link pointing to immutable source documents with byte-level offset accuracy.
The system outputs confidence scores and mathematical certainty metrics. If an impact is inferred through indirect statistical correlation rather than deterministic graph edges, PMX OS explicitly marks the inference as probabilistic, presenting the underlying statistical sample sizes, p-values, and confidence intervals for human engineering review.
Lab Report TR-TH-902, Page 14, Table 3.2 (SHA-256: e8f2...9b1).IEC 60601-1-11 Clause 11.1.2.2. Confidence: 99.4%.
Rather than leaving teams to manually author documentation from scratch, the Recommend stage synthesizes precise, targeted action plans. PMX OS generates draft delta verification protocols, engineering change order (ECO) justification memos, and regulatory filing assessments.
The recommendations are optimized to minimize unnecessary re-testing while preserving complete compliance. Instead of mandating a full, expensive 6-month re-qualification of the entire device, PMX OS pinpoints the exact subset of test protocols (e.g., bench test V-0183 and EMC immunity test V-0201) necessary and sufficient to satisfy FDA 21 CFR 820.30(i) and EU MDR Annex II.
PROT-TH-902-REV-D (36-Hour Thermal Stress Protocol updated for S-22 thermal profile). Pre-populated with sample size rationale (n=29, 95% confidence / 95% reliability).
In PMX OS, artificial intelligence proposes, but qualified humans decide. The Review stage enforces human sovereignty as an absolute system invariant. The recommended impact mitigations and protocol drafts are routed to a structured Design Review Board consisting of designated leads across Systems Engineering, Quality Assurance, Regulatory Affairs, and Medical Safety.
Reviewers inspect the grounded evidence, modify acceptance criteria if necessary, record technical rationales, and log any dissenting opinions. Final authorizations are executed using FDA 21 CFR Part 11 and EU Annex 11 compliant digital signatures requiring dual-factor biometric re-authentication. The approved change package is permanently locked into the immutable audit ledger.
A medical product lifecycle does not terminate at commercial deployment. In the Learn stage, PMX OS connects real-world post-market performance data back into the foundational Knowledge Graph. Real-world hospital telemetry, service maintenance logs, MDR vigilance reports, and customer complaint trends flow continuously into the system.
The graph automatically updates hazard probability scores in the ISO 14971 Risk Management File based on empirical field occurrence rates. If a component exhibits unexpected drift under specific hospital environmental conditions, PMX OS enriches its institutional memory, automatically warning future engineering projects whenever that component or architecture is selected.
A side-by-side comparison of conventional medtech operations versus the PMX OS 8-step pipeline.
| Operational Dimension | Traditional Document Model | PMX OS Continuous Intelligence |
|---|---|---|
| Traceability Maintenance | Manual Excel matrix reconciliation performed months after design work is completed. | Continuous, automated, multi-relational graph linking code, CAD, risks, and standards in real time. |
| Change Impact Scoping (ECO) | Siloed departmental guesswork taking 6 to 14 weeks per change order. | Instant 8-domain transitive blast radius computation executed in <250ms. |
| Risk Management (ISO 14971) | Static FMEA tables updated only prior to audits; blind to firmware commits. | Dynamic risk sequences continuously synced with CAD parts, firmware logic, and post-market PMS. |
| AI Decision Transparency | Unusable generic chatbots that hallucinate citations and violate 21 CFR Part 11. | 100% grounded evidence envelopes linked to byte-offset source tokens and consensus standards. |
| Audit Readiness | High panic, weeks of document hunting, and frequent 483 audit observations. | Zero-panic, continuous inspection mode with cryptographically verifiable historical state snapshots. |
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