name: who-country-health-profiler
description: >
Builds a structured profile of a country's health system to support
WHO SMART Guidelines DAK localization. Use when asked to understand
a country's health infrastructure, digital systems, national protocols,
data collection practices, or institutional actors before DAK adaptation
begins. Activates for: country profile, health system assessment, DAK
readiness, localization preparation, national health context.
license: MIT
compatibility: Model-neutral Agent Skill. Uses open data sources and
WHO databases. Optional MCP/FHIR tools may be used when available.
metadata:
project: "USI NLP WHO SMART Guidelines - Country Localization"
author: "Marionne Blanco Herrera"
version: "0.1"
health-domain: "Immunizations (SMART Immunizations DAK)"
WHO Country Health Profiler
Purpose
Build a structured, verifiable profile of a country's health system to reduce the desk research burden on WHO technical staff before DAK adaptation begins. Every field must cite its source. Fields without verifiable data return null — never invented values.
When to use this skill
Use when a user needs to understand a country's health context before localizing WHO SMART Guidelines, adapting a DAK, or planning a country engagement. This skill supports the front-end phase of DAK localization — it is not a clinical decision tool.
Do not use this skill for
- Clinical decision-making for individual patients
- Producing final national health policy
- Replacing on-the-ground WHO expert assessment
- Generating data that cannot be traced to a verifiable source
- Country name
- Target health domain (default: immunizations)
- Optional: specific DAK component to focus on
Data sources to query
In order of priority:
- WHO Global Health Observatory API (apps.who.int/gho/data/node.main)
- WHO Global Initiative on Digital Health (GIDH) country profiles
- World Bank Health Nutrition and Population data
- Global Burden of Disease (IHME) country profiles
- Country's official Ministry of Health website
- UNICEF country immunization data
- Known implementing partner reports (USAID, Gavi, PAHO)
Workflow
- Confirm country name and target domain with user
- Query health system structure from WHO GHO
- Identify existing digital health systems (DHIS2, OpenMRS, custom)
- Locate national immunization protocol or equivalent guidelines
- Map data collection practices at point of care and reporting level
- Identify key institutional actors in target domain
- Flag all fields where data is unavailable or uncertain
- Produce structured JSON profile with source citations
- Summarize critical gaps for human expert review
Return a structured profile with these sections:
Health system structure
- Levels of care (primary/secondary/tertiary)
- Referral pathways
- Prescribing authority at each level
- Source + confidence score
Digital infrastructure
- Existing digital health systems
- Interoperability status
- Connectivity and device access
- Source + confidence score
National guidelines
- Immunization protocol exists: yes/no
- Alignment with WHO recommendations: aligned/partial/divergent/unknown
- Known divergences (if any)
- Source + confidence score
Data collection practices
- Data collected at point of care
- Data aggregated for national reporting
- Gaps relative to DAK data elements
- Source + confidence score
Key institutional actors
- Ministry of Health department responsible
- Active donor organizations
- Implementing partners present
- Digital system vendors
- Source + confidence score
Critical gaps summary
List of fields that could not be populated from open sources. These require WHO expert input before DAK adaptation begins.
Confidence scoring
- High: data from official WHO or government source, current within 3 years
- Medium: data from implementing partner report or academic source
- Low: data inferred or from source older than 3 years
- Null: no verifiable data found — do not invent
Safety rules
Never generate health system data without a cited source. If a field cannot be verified, return null and flag it explicitly. This profile is a starting point for expert review, not a final assessment.