「healthcare」の検索結果

医療アプリの患者・職員の機密情報を分類し、施設単位のアクセス制御や監査記録を設計するとともに、ログ・URL・ブラウザー保存からの情報漏えいを点検するスキル。

• 患者記録を扱うコードの点検
• 医療施設間のアクセス制御の設計
• 機密情報の閲覧・変更の監査記録

米国の医療ソフトウェアでHIPAAへの対応を検討する際に、患者情報の扱い、外部サービスへの送信条件、必要最小限のアクセスと監査記録を確認するスキル。

• AI診療要約のHIPAA対応を確認したいとき
• 患者情報の分析基盤への送信を検討したいとき
• 必要最小限のアクセスと監査記録の設計

医療アプリの公開前に、診療判断の支援ロジック、患者情報の漏えい、データ整合性などを検証するスキル。重大なテストの失敗でデプロイを止める仕組みを示します。

• 電子カルテの公開前に検証したいとき
• 薬物相互作用や投与量の変更を検証
• 権限変更後の患者情報漏えいを確認

Customize NVIDIA Nemotron Voice Agent's Generic Pipecat example for healthcare appointment, five-field patient intake, or custom tool-calling workflows without a separate backend.

日本語の概要は準備中です。原文の説明を表示しています。

Expert HIPAA compliance assistant for healthcare and software contexts. Use this skill whenever the user mentions HIPAA, PHI (Protected Health Information), ePHI, covered entities, business associates, healthcare data privacy, medical records, health information security, BAA (Business Associate Agreements), or any compliance review involving patient data. Also trigger for requests to draft privacy notices, HIPAA policies, consent forms, security risk assessments, or breach notification letters. Use for developers building healthcare software who need technical safeguard guidance (encryption, access controls, audit logs), compliance officers reviewing documents or procedures, and anyone asking "is this HIPAA compliant?" or "what does HIPAA require for X?". When in doubt about whether a healthcare or data privacy question falls under this skill — use it.

日本語の概要は準備中です。原文の説明を表示しています。

Expert HIPAA compliance assistant for healthcare and software contexts. Use this skill whenever the user mentions HIPAA, PHI (Protected Health Information), ePHI, covered entities, business associates, healthcare data privacy, medical records, health information security, BAA (Business Associate Agreements), or any compliance review involving patient data. Also trigger for requests to draft privacy notices, HIPAA policies, consent forms, security risk assessments, or breach notification letters. Use for developers building healthcare software who need technical safeguard guidance (encryption, access controls, audit logs), compliance officers reviewing documents or procedures, and anyone asking "is this HIPAA compliant?" or "what does HIPAA require for X?". When in doubt about whether a healthcare or data privacy question falls under this skill — use it.

日本語の概要は準備中です。原文の説明を表示しています。

Addresses healthcare AI privacy at the intersection of HIPAA and the EU AI Act for clinical decision support systems. Covers training data PHI handling, model transparency and explainability, patient rights in algorithmic decisions, FDA/OCR regulatory coordination, and bias monitoring. Keywords: healthcare AI, HIPAA, AI Act, clinical decision support, PHI training data, model transparency.

日本語の概要は準備中です。原文の説明を表示しています。

Drafts professional services agreements for healthcare providers and clients, covering HIPAA/HITECH compliance, BAA requirements, Anti-Kickback and Stark Law guardrails, credentialing warranties, malpractice insurance mandates, and patient care continuity on termination. Use when drafting healthcare provider contracts, medical services agreements, physician independent contractor agreements, or healthcare consulting engagements.

日本語の概要は準備中です。原文の説明を表示しています。

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

日本語の概要は準備中です。原文の説明を表示しています。

Your healthcare and life sciences brain trust. 25 named personas across 7 cells covering drug discovery, medtech, biotech strategy, health policy, genomics, clinical trials, and healthcare economics.

日本語の概要は準備中です。原文の説明を表示しています。

HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.

日本語の概要は準備中です。原文の説明を表示しています。

HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.

日本語の概要は準備中です。原文の説明を表示しています。

HealthSim generates realistic synthetic healthcare data for testing EMR systems, claims processing, pharmacy benefits, and analytics. Use for ANY request involving: (1) synthetic patients, clinical data, or medical records, (2) healthcare claims, billing, or adjudication, (3) pharmacy prescriptions, formularies, or drug utilization, (4) HL7v2, FHIR, X12, or NCPDP formatted output, (5) healthcare testing scenarios or sample data generation.

日本語の概要は準備中です。原文の説明を表示しています。

Design AI healthcare assistants with triage. TRIGGERS - Use when user needs help with ai-healthcare-assistant related tasks.

日本語の概要は準備中です。原文の説明を表示しています。

Patient safety evaluation harness for healthcare application deployments. Automated test suites for CDSS accuracy, PHI exposure, clinical workflow integrity, and integration compliance. Blocks deployments on safety failures. Use when a healthcare deployment must be gated on patient-safety tests for CDSS accuracy, PHI exposure, and workflow integrity.

日本語の概要は準備中です。原文の説明を表示しています。

Protected Health Information (PHI) and Personally Identifiable Information (PII) compliance patterns for healthcare applications. Covers data classification, access control, audit trails, encryption, and common leak vectors. Use when code touches PHI or PII in a healthcare system, or when auditing access control, audit trails, or leak vectors.

日本語の概要は準備中です。原文の説明を表示しています。

Design AI healthcare assistants with triage. TRIGGERS - Use when user needs help with ai-healthcare-assistant related tasks.

日本語の概要は準備中です。原文の説明を表示しています。

電子カルテの診療記録、処方、検査結果画面を設計するスキル。薬の相互作用警告や変更履歴、医療現場で入力しやすい画面の設計方針を整理します。

• 診療フローを設計したいとき
• 薬の相互作用警告を実装したいとき
• 検査結果の異常値を表示したいとき

Use when optimizing LinkedIn profiles for doctors, physicians, nurses, healthcare professionals, or medical researchers. Crafts compelling headlines, writes professional summaries, integrates healthcare keywords, and builds personal branding for medical careers.

日本語の概要は準備中です。原文の説明を表示しています。

Drive the contracts engine's runtime surface (the stdio MCP server) to verify changes end-to-end. Scoped to public-plugins/plugins/healthcare/skills/contracts/ and ../../servers/documents/.

日本語の概要は準備中です。原文の説明を表示しています。

FHIR API development guide for building healthcare endpoints. Use when: (1) Creating FHIR REST endpoints (Patient, Observation, Encounter, Condition, MedicationRequest), (2) Validating FHIR resources and returning proper HTTP status codes and error responses, (3) Implementing SMART on FHIR authorization and OAuth scopes, (4) Working with Bundles, transactions, batch operations, or search pagination. Covers FHIR R4 resource structures, required fields, value sets (status codes, gender, intent), coding systems (LOINC, SNOMED, RxNorm, ICD-10), and OperationOutcome error handling.

日本語の概要は準備中です。原文の説明を表示しています。

This skill applies the analytical frameworks of Ronald C. Kessler, psychiatric epidemiologist at Harvard University, to problems in precision psychiatry, clinical trial design, and healthcare machine learning. Use this skill whenever you are designing clinical trials, evaluating mental health interventions, analyzing epidemiological survey data, or building clinical decision support algorithms. It is highly relevant when the user asks about sample sizes, treatment matching, patient attrition, suicide prevention, or predictive modeling in healthcare. Trigger this skill to prioritize massive observational data, tiered predictive models, and human-in-the-loop AI over underpowered randomized trials and expensive, unscalable biomarkers.

日本語の概要は準備中です。原文の説明を表示しています。

Analyze healthcare claims data for real-world evidence (RWE) studies. Use when working with medical/pharmacy claims (837/835), calculating utilization metrics, building patient cohorts, or analyzing treatment patterns. Triggers include claims data, RWE, real-world evidence, 837, 835, medical claims, pharmacy claims, utilization, treatment patterns, HEDIS, healthcare analytics.

日本語の概要は準備中です。原文の説明を表示しています。

CVS Health engineering with integrated healthcare delivery across pharmacy, insurance (Aetna), and retail clinics. Triggers: 'CVS style', 'healthcare integration', 'pharmacy systems', 'Aetna', 'MinuteClinic'.

日本語の概要は準備中です。原文の説明を表示しています。