Best clinical and healthcare research skills, page 2

Organizes, queries, validates, and converts Brain Imaging Data Structure (BIDS) datasets.

K-Dense-AI/scientific-agent-skills

Searches and reads biomedical papers, FDA/PMDA/EMA documents, clinical trials, and protein records with the GXL Paperclip CLI and Python SDK.

K-Dense-AI/scientific-agent-skills

Reads, inspects, writes, transforms, and preflights local DICOM datasets and pixel data.

K-Dense-AI/scientific-agent-skills

A skill your agent uses when preparing a medical-imaging dataset (DICOM/NIfTI) for modelling.

Aperivue/medsci-skills

A skill your agent uses when writing medical, biological, or clinical research papers - provides IMRaD structure and reporting guidelines

Norman-bury/research-writing-skill

A skill your agent uses when a developer asks how to get started building healthcare or life sciences agents, wants to understand the HCLS Agents Toolkit, or asks what's available in this repository.

aws-samples/amazon-bedrock-agents-healthcare-lifesciences

Generates and verifies 21 CFR Part 11-style audit trails — who/what/when, electronic signatures, and tamper-evidence — for OpenMed pipelines in GxP and clinical-trial (GCP) settings.

maziyarpanahi/openmed

Assemble a chronological patient timeline from OpenMed-extracted clinical events, normalizing dates and resolving relative time expressions on-device.

maziyarpanahi/openmed

Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation.

maziyarpanahi/openmed

Compute electronic clinical quality measures (eCQMs) over structured data using CQL/QDM logic, lifting note-derived numerator and exclusion facts from OpenMed to improve measure capture.

maziyarpanahi/openmed

Kick off and harvest a FHIR Bulk Data $export (system-, group-, or patient-level) and stream the resulting NDJSON into a batch OpenMed de-identification + NER pipeline at cohort scale.

maziyarpanahi/openmed

Convert OpenMed NER output (entities from openmed.analyzetext) into FHIR R4 resources — Condition, MedicationStatement, Observation — using OpenMed's built-in FHIR R4 export helpers in…

maziyarpanahi/openmed

Extract clinical entities from synthetic or already de-identified text with OpenMed and map them into deterministic FHIR R4 resources and a Bundle.

maziyarpanahi/openmed

Reads DICOM file headers and DICOM-SR (Structured Report) content to pull study/series metadata and embedded report text, and flags PHI carried in header tags.

maziyarpanahi/openmed

Detects and extracts tabular laboratory panels from PDFs, scans, and images into structured rows ready for OpenMed and FHIR.

maziyarpanahi/openmed

Fetches and pages FHIR R4 resources (Patient, DocumentReference, DiagnosticReport, Observation, Condition) from a FHIR REST server, decodes base64 attachments, and extracts clinical narrative for…

maziyarpanahi/openmed

Generates synthetic but realistic patient records (FHIR R4 bundles, C-CDA documents, CSV) with MITRE Synthea for development, CI fixtures, demos, and leakage-gate test sets — zero real PHI.

maziyarpanahi/openmed

Maps laboratory and clinical observation names extracted by OpenMed to LOINC codes using the public Regenstrief LOINC and FHIR terminology APIs.

maziyarpanahi/openmed

Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary.

maziyarpanahi/openmed

Parses C-CDA / CCD XML clinical documents to extract human-readable section narrative plus coded entries, keyed by section LOINC codes and templateIds.

maziyarpanahi/openmed

Parses free-text clinical-trial eligibility criteria into structured inclusion and exclusion logic, then matches them against patient facts that OpenMed extracted.

maziyarpanahi/openmed

Call a user-supplied FHIR terminology server ($validate-code, $expand, $lookup, $translate) to validate and expand clinical codes without bundling restricted vocabulary (SNOMED CT, RxNorm, LOINC…

maziyarpanahi/openmed

Deduplicate and reconcile OpenMed-extracted conditions into one clean active problem list with clinical status (active / resolved / historical).

maziyarpanahi/openmed

Assign negation, temporality, and uncertainty (the ConText axes) to clinical entities extracted by OpenMed, so "denies chest pain" is not counted as chest pain and "history of MI" is not counted as…

maziyarpanahi/openmed

Scaffold a SMART-on-FHIR app (SMART App Launch v2 — EHR launch and standalone launch, OAuth2 PKCE, scopes, token handling, fhirContext) so an OpenMed-powered tool can run inside Epic or…

maziyarpanahi/openmed

Searches ClinicalTrials.gov for studies by condition, intervention, and recruitment status using the modern v2 REST API with cursor (pageToken) pagination.

maziyarpanahi/openmed

Apply consistent per-patient date shifting in OpenMed that preserves intervals between events while satisfying HIPAA Safe Harbor's date rule.

maziyarpanahi/openmed

Converts free-text radiology narratives into structured findings and impression — with measurements, laterality, anatomy, and follow-up recommendations — after OpenMed NER.

maziyarpanahi/openmed

Validate FHIR R4 resources and Bundles against US Core / USCDI profiles with the official HL7 FHIR validator before submitting to an EHR.

maziyarpanahi/openmed

Queries and downloads public cancer imaging data from NCI Imaging Data Commons.

K-Dense-AI/scientific-agent-skills

Retrieves ClinGen gene-disease validity assertions for a public gene or disease, and reviews source-linked public evidence and literature for one supported GRCh38 germline nuclear SNV or simple…

K-Dense-AI/scientific-agent-skills

Expert guidance for implementing SMART App Launch (HL7 FHIR specification for OAuth 2.0-based authorization).

aehrc/pathling

A skill your agent uses when querying biomedical databases (UniProt, ClinVar, gnomAD, PDB, Reactome, Open Targets, etc.) via the Biomni AgentCore Gateway MCP server.

aws-samples/amazon-bedrock-agents-healthcare-lifesciences

Generate clinical trial protocols for medical devices or drugs.

aipoch/medical-research-skills

Query public drug-discovery and translational-research databases including PubChem, ChEMBL, BindingDB, openFDA, ClinicalTrials.gov, and OpenAlex.

DrugClaw/DrugClaw

Find clinical trials for a gene, variant, or condition from ClinicalTrials.gov + EUCTR, with FHIR R4 output

ClawBio/ClawBio

A skill your agent uses when designing a prospective clinical study before submission — selecting and classifying endpoints (primary / key-secondary / exploratory, with surrogate-endpoint flagging)…

alirezarezvani/claude-skills

Generates professional clinical PDF reports in English from WES (Whole Exome Sequencing) data with clinical interpretation summary, pharmacogenomic alerts, and follow-up recommendations.

ClawBio/ClawBio

Generates professional clinical PDF reports in Spanish from WES (Whole Exome Sequencing) data with clinical interpretation, pharmacogenomic alerts, and follow-up recommendations.

ClawBio/ClawBio

Simulates an independent statistical reviewer auditing a clinical trial submission package (SDTM, ADaM, TLG/TLF, SAP, CSR).

RConsortium/pharma-skills

Expert guidance for implementing SQL on FHIR v2 ViewDefinitions and operations to create portable, tabular projections of FHIR data.

aehrc/pathling

A skill your agent uses when validating or evaluating a trained medical-imaging model.

Aperivue/medsci-skills

A skill your agent uses when designing or auditing how an LLM or multimodal LLM is evaluated on a clinical task (report generation, VQA, text extraction).

Aperivue/medsci-skills

A skill your agent uses when a trained medical-imaging model needs its documentation.

Aperivue/medsci-skills

A skill your agent uses when you need a runnable PyTorch training repo for a medical-imaging task (segmentation, classification, detection, synthesis, self-supervised, or fine-tuning a pretrained…

Aperivue/medsci-skills

A skill your agent uses when choosing the model for a medical-imaging study.

Aperivue/medsci-skills

医疗应用中EMR/EHR的开发模式。临床安全、就诊工作流程、处方生成、临床决策支持集成以及以可访问性为先的医疗数据录入用户界面。

affaan-m/ECC

用于医疗应用部署的患者安全评估工具。针对CDSS准确性、PHI暴露、临床工作流完整性和集成合规性的自动化测试套件。在安全故障时阻止部署。

affaan-m/ECC