A tool by Firecrawl · uses 9 tools · Healthcare
Heatwave hospital readiness brief
Use before a forecast heat event when a county health department, hospital emergency manager or EMS planner needs a readiness brief. Combines the forecast and active alerts with how far temperatures sit above normal, the size of the older population, and the hospitals and nursing homes that will absorb the surge, into one prioritised brief.
Save a copy for your teamTools it calls
Each tool's price and track record across every agent today. Empty means the call worked and found nothing.
ToolPriceMedianSuccessEmpty
National Weather Service API (api.weather.gov)Forecast dailyPrice5 creditsMedian–Success–Empty–
National Weather Service API (api.weather.gov)Forecast hourlyPrice5 creditsMedian–Success–Empty–
National Weather Service API (api.weather.gov)Alerts activePrice5 creditsMedian558 msSuccess100%Empty0%
NASA POWERClimate normalsPrice5 creditsMedian–Success–Empty–
US Census BureauGeographiesPrice5 creditsMedian152 msSuccess100%Empty0%
US Census BureauDataPrice5 creditsMedian617 msSuccess97.7%Empty3.8%
CMS data.cms.govHospitalsPrice5 creditsMedian2.5 sSuccess98.3%Empty5.1%
CMS data.cms.govHospitalPrice5 creditsMedian–Success–Empty–
CMS data.cms.govNursing homesPrice5 creditsMedian–Success–Empty–
Instructions
What your agent follows when it runs this tool. Paste them into any assistant connected to Firecrawl.
# Heatwave hospital readiness brief For one US county, given its seat's coordinates. The forecast window found first sets the dates for every later step. ## 1. How bad and when 1. Read the next seven days with @[National Weather Service · Forecast daily](alexandria:api-weather-gov/weather/forecast_daily) and the hourly overnight lows with @[National Weather Service · Forecast hourly](alexandria:api-weather-gov/weather/forecast_hourly). Hot nights that do not cool down drive admissions as much as daytime highs. 2. Check @[National Weather Service · Alerts active](alexandria:api-weather-gov/weather/alerts_active) for heat advisories or excessive heat warnings in effect. 3. Compare the forecast highs with the same month's baseline from @[NASA POWER · Climate normals](alexandria:power-larc-nasa-gov/weather-history/climate_normals) and report the anomaly in degrees. ## 2. Who is at risk 4. Resolve the county with @[US Census Bureau · Geographies](alexandria:census-gov/census/geographies), then pull population 65 and over and people 65 and over living alone from @[US Census Bureau · Data](alexandria:census-gov/census/data) (acs/acs5, latest vintage). ## 3. Who absorbs the surge 5. List hospitals in the county's cities with @[CMS Care Compare · Hospitals](alexandria:data-cms-gov/clinician-procedure-volume/hospitals), then read star ratings and measure detail for the largest with @[CMS Care Compare · Hospital](alexandria:data-cms-gov/clinician-procedure-volume/hospital). 6. List nursing homes with @[CMS Care Compare · Nursing homes](alexandria:data-cms-gov/clinician-procedure-volume/nursing_homes); facilities with low staffing ratings need cooling checks first. ## Write the readiness brief - **Heat window:** dates, forecast highs and lows, anomaly versus normal, alerts in effect. - **Exposure:** 65 and over, and 65 and over living alone, as counts. - **Capacity:** hospitals and nursing homes to contact, with ratings. - **Actions:** cooling-centre timing and facility checks, ordered by date. - **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.
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