openevidence-observability

v2026.09.24

Monitor OpenEvidence workflow quality, evidence traceability, adoption, and safety signals using approved local evidence. Use when working with OpenEvidence in a healthcare organization. Trigger with "openevidence observability", "OpenEvidence quality", or a matching workflow request.

GitHub
安装命令
npx skhub add jeremylongshore/openevidence-observability
Markdown
SKILL.md

OpenEvidence Quality and Adoption Audit

Overview

Create a human-centered review loop without claiming access to private product telemetry. Keep inputs minimal, separate observed facts from assumptions, and leave consequential decisions with the named accountable owner.

Prerequisites

  • A clearly bounded workflow, accountable clinical owner, and organizational policy
  • Current first-party OpenEvidence documentation and applicable institution agreements
  • Synthetic or properly authorized minimum-necessary data

Tool Discipline

Use Read, Glob, and Grep to inspect supplied policies, plans, and evidence. Use WebFetch only for current first-party OpenEvidence documentation. Use Write or Edit only when the user requests a named deliverable with an approved destination. Never expose credentials, PHI, recordings, or unrestricted environment output.

Current Contract

  • No public observability API or standard metrics export is documented.
  • Measurements must come from authorized account/institution records and redacted quality samples.
  • Volume and speed are insufficient without citation, applicability, and safety review.

Authentication

Use only the official OpenEvidence web/mobile sign-in or an institution-approved access path. Do not invent API keys, OAuth clients, SDK credentials, service accounts, or private endpoints. Never ask a user to reveal a password, session token, cookie, or recovery code.

Instructions

  1. Define the monitored workflow, cohort, period, data authority, clinical owner, and escalation thresholds.
  2. Select measures for completion, citation traceability, unsupported claims, reviewer overrides, time burden, incidents, and training gaps.
  3. Sample the minimum authorized records and de-identify evidence used outside the care record.
  4. Have qualified reviewers score outputs with a stable rubric and record inter-reviewer disagreement.
  5. Trend results without inferring patient outcomes or vendor-wide performance from a local sample.
  6. Publish findings, limitations, actions, owners, thresholds, and the next review date.

Approval Boundaries

Do not create or share accounts; change access, roles, agreements, consent, retention, or security settings; enter PHI; record a conversation; copy content into another system; contact a patient; make a diagnosis or treatment decision; submit billing; transmit a support packet; run a production pilot; or represent vendor capabilities without explicit approval from the accountable owner. A qualified professional remains responsible for clinical decisions.

Output

Return scope, current first-party evidence and date, data classification, workflow or findings, citations reviewed, assumptions rejected, clinical and governance owners, approval state, unresolved risk, and the exact next action. Redact patient and credential data.

Error Handling

ConditionResponse
Telemetry unavailableUse an approved sample or survey and label coverage.
Metric hides harmAdd safety and override measures before reporting success.
Sample contains PHIKeep it in the governed system or stop the audit export.

Examples

This compact example shows the minimum reviewable handoff; adapt fields to the approved workflow without adding sensitive data.

Input:

period=30d; workflow=Ask; sample=25 de-identified reviews

Expected handoff:

traceability=measured; overrides=recorded; incidents=1; actions=3

Resources

发现
标签

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版本
最新版本元数据

版本

v2026.09.24

发布时间

2026年9月24日

分类

未分类

许可证

MIT

源路径

skills/.curated/openevidence-observability

默认分支

main

最新提交

e5a6c3b

Tree SHA

c2dc8e8