Clinical Reports
Create safety-bounded draft structures and run local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.
- Skill ID
- k-dense-ai/scientific-agent-skills/clinical-reports
- Publisher
- k-dense-ai
- Repository
- scientific-agent-skills
- Installs
- 0
- Files
- 36
- License
- MIT
- Requires
- Requires Python 3.11+ only for optional dependency-free local scripts; no network access, credentials, external models, or image services.
- Synced
- Sep 23, 2026
Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.
k-dense-ai/scientific-agent-skills/clinical-reportsInstalls these files- SKILL.md
- assets/adverse_event_aggregate_input_template.csv
- assets/case_report_template.json
- assets/clinical_trial_csr_template.json
- assets/clinical_trial_results_template.json
- assets/clinical_trial_safety_aggregate_template.json
- assets/consistency_manifest_template.json
- assets/deidentification_process_checklist.json
- assets/lab_report_template.json
- assets/pathology_report_template.json
- assets/provenance_manifest_template.json
- assets/quality_review_checklist.json
- assets/radiology_report_template.json
- assets/research_summary_template.json
- assets/terminology_manifest_template.json
- assets/trial_protocol_reporting_checklist.json
- references/README.md
- references/case_report_guidelines.md
- references/clinical_trial_reporting.md
- references/data_presentation.md
- references/diagnostic_reports_standards.md
- references/medical_terminology.md
- references/privacy_and_deidentification.md
- references/professional_review.md
- references/report_type_routing.md
- references/safety_reporting.md
- references/sources.md
- scripts/_common.py
- scripts/check_deidentification.py
- scripts/consistency_checker.py
- scripts/format_adverse_events.py
- scripts/generate_report_template.py
- scripts/provenance_validator.py
- scripts/terminology_validator.py
- scripts/validate_case_report.py
- scripts/validate_trial_report.py
What this skill tells the agent
Clinical Reports
Purpose
Prepare draft reporting structures, aggregate tables, and review manifests from verified authorized facts. Route each artifact to the correct reporting guidance, preserve provenance, and stop when source support or qualified review is missing.
This skill does not establish legal, regulatory, ethical, journal, accreditation, or institutional compliance. Its scripts check structure and internal consistency only.
Non-Negotiable Boundary
Never:
- diagnose, recommend treatment, choose or change dosing, triage, or provide return precautions;
- interpret images, specimens, raw laboratory results, symptoms, or other clinical observations;
- invent, infer, normalize, “complete,” or silently reconcile observations, results, dates, units, denominators, causality, expectedness, seriousness, outcomes, or conclusions;
- create an individual case safety report from patient-level narrative or decide reportability;
- sign, attest, approve, file, transmit, submit, amend a source record, or act as a licensed clinician, pathologist, radiologist, laboratorian, safety physician, statistician, privacy officer, attorney, or regulatory professional;
- use real PHI in examples, assets, tests, prompts, logs, or external services;
- call an external LLM, image service, API, or another skill.
All generated artifacts must remain visibly marked:
DRAFT — NOT FOR CLINICAL USE, SIGNATURE, FILING, OR SUBMISSION. Populate only from verified authorized source records. Qualified review and sign-off are required.
If the request crosses a boundary, stop the unsafe portion. Offer a blank structured template, a source-fact manifest, or a deterministic structural check. Direct clinical or regulatory decisions to the responsible qualified professional.
Input Gate
Proceed only when all conditions are true:
- Purpose is explicit: publication draft, diagnostic-report scaffold, trial-results manuscript, protocol reporting review, CSR draft, aggregate safety table, or aggregate research summary.
- Data class is allowed:
synthetic,deidentified, oraggregate. - Authority is documented: the requester is authorized to use the records for the stated purpose.
- Local-only handling is feasible: no upload, remote API, telemetry, or credential is needed.
- Minimum necessary is defined: exclude fields not needed for the artifact.
- Provenance exists: every populated field or claim maps to one or more verified source-fact IDs.
- Review owner is identified: qualified clinical, statistical, safety, privacy, legal, journal, and/or regulatory review as applicable.
Do not accept raw free-text patient records when a structured source-fact manifest can be supplied. Do not copy direct identifiers into this skill’s templates or scripts.
Route Before Drafting
| Artifact | Primary route | Important boundary |
|---|---|---|
| Case report for publication | CARE 2013 checklist and 2017 explanation | Publication consent, privacy, journal policy, and clinical accuracy require human verification |
| Radiology draft scaffold | ACR 2025 communication practice parameter plus modality-specific ACR material | A qualified radiologist authors findings/impression and handles nonroutine communication |
| Pathology draft scaffold | Current specimen-specific CAP Cancer Protocol, if applicable | A qualified pathologist selects the protocol/version and authors diagnosis |
| Laboratory draft scaffold | 42 CFR 493.1291 and laboratory policy | The performing laboratory controls results, reference intervals, corrections, and release |
| Randomized-trial results report | CONSORT 2025 plus every applicable current extension | CONSORT is reporting guidance, not a conduct or submission standard |
| Randomized-trial protocol report | SPIRIT 2025 plus applicable extensions | SPIRIT is for protocols, not results or CSRs |
| Clinical Study Report | ICH E3 plus E3 Q&A; consider ICH E6(R3) and regional requirements | E3 is adaptable guidance, not a rigid universal template |
| Pre-approval safety report | ICH E2A; E2B(R3) for electronic ICSR data; applicable regional law/guidance | Qualified sponsor/investigator safety assessment controls reportability and timing |
| Post-approval individual safety report | ICH E2D(R1), E2B(R3), and regional requirements | Do not automate case assessment, coding, or submission |
| Aggregate safety presentation | Protocol/SAP, ICH E3, CONSORT Harms, and applicable FDA/ICH guidance | Aggregate tables never determine individual-case reportability |
| Aggregate research summary | Study-design-specific reporting guideline and source protocol/SAP | State population, estimand, denominator, missingness, and limitations exactly as verified |
Read references/report_type_routing.md before choosing a route. Use the dated primary-source ledger in references/sources.md; check the live official source when requirements could have changed.
Safe Drafting Workflow
1. Create a source-fact manifest
Use assets/provenance_manifest_template.json. Record only local record locators, field paths, verification state, verifier role, verification date, and a SHA-256 value hash. Do not duplicate source content or direct identifiers.
Every draft claim or populated field must cite one or more fact IDs. Unsupported content remains null or missing; never replace it with plausible text.
2. Generate the correct template
PYTHONDONTWRITEBYTECODE=1 python3 scripts/generate_report_template.py --list
PYTHONDONTWRITEBYTECODE=1 python3 scripts/generate_report_template.py \
--type case-report \
--output ./case-report-draft.jsonThe generator copies a fail-closed JSON template. It does not populate clinical content, create directories, overwrite files by default, or certify readiness.
3. Populate verified fields only
- Keep
draft_statusunchanged. - Replace
nullonly when a verified fact ID supports the field. - Preserve uncertainty and “not assessed” exactly as recorded.
- Do not translate a raw observation into a diagnosis, code, grade, stage, seriousness, causality, expectedness, or recommendation.
- Use
not_applicable_with_rationaleonly when a qualified reviewer supplied the rationale. - Keep source record and draft separate.
4. Run deterministic checks
CARE structure:
PYTHONDONTWRITEBYTECODE=1 python3 scripts/validate_case_report.py \
./case-report-draft.jsonICH E3, CONSORT 2025, or SPIRIT 2025 structure:
PYTHONDONTWRITEBYTECODE=1 python3 scripts/validate_trial_report.py \
./trial-report-manifest.jsonAggregate adverse-event table:
PYTHONDONTWRITEBYTECODE=1 python3 scripts/format_adverse_events.py \
./aggregate-ae.csv --metadata ./safety-aggregate.json \
--output ./aggregate-ae-table.mdTerminology schema:
PYTHONDONTWRITEBYTECODE=1 python3 scripts/terminology_validator.py \
./terminology-manifest.jsonDe-identification process documentation:
PYTHONDONTWRITEBYTECODE=1 python3 scripts/check_deidentification.py \
./deidentification-process.jsonTraceability and consistency:
PYTHONDONTWRITEBYTECODE=1 python3 scripts/provenance_validator.py ./provenance.json
PYTHONDONTWRITEBYTECODE=1 python3 scripts/consistency_checker.py ./consistency.jsonThese tools use the Python standard library, local bounded files, and no network, dynamic evaluation, serialization code execution, or patient-record extraction. A successful result still says review is required.
5. Apply the right review
At minimum:
- clinical facts and interpretations: qualified clinician for the specialty;
- statistical results, populations, estimands, denominators, and missingness: qualified statistician;
- safety coding, seriousness, causality, expectedness, and reportability: qualified safety professional;
- HIPAA, consent, authorization, and disclosure: privacy/legal/institutional review;
More from k-dense-ai
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