Kinsa Health
Healthcare & Hospitals

Predict patient surges before they strain capacity.

Kinsa forecasts hospitalizations and ED visits weeks in advance, so staffing, beds, and supplies are ready when illness peaks.

Kinsa Patient Demand™
8-Week ForecastEmergency Dept.
Riverside Regional Medical Center
Forecast Peak: +5 weeks — 178 visits/day
200150100500ED Visits / Day−6 wk−4 wk−2 wkToday+2 wk+4 wk+6 wk+8 wk178Actual124/day nowForecast178/day peakLast Year124/day peak95% Confidence Interval

Hospitals and health systems

use Kinsa's predictive analytics for:

Bed capacity utilization

Increase ED and ICU bed availability when a surge is expected, ensuring quality care for patients

Staffing

Keep staff morale high by ensuring adequate staffing and preventing burnout during a surge

Resources and Supplies

Accurately plan for personal protective equipment (PPE), Medication, food, etc.

Kinsa's 8-week forecast vs.
Weekly COVID 19-related
ED visits

Level 1 Trauma Center

Kinsa's 8-week prediction made in September

Actuals
Forecast

source: healthdata.gov

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"It's mindblowing... It's like you're a fortune teller."

Nurse Manager

Emergency Department and Clinical Decision Unit

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"It's the medium to longer term sustained illness surges that are most problematic."

Chief Medical Officer

Level 2 Trauma Center

Ready to stay ahead
of the surge?

See Kinsa's predictive analytics in action for your health system.

Talk to our hospital team
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"If you would have shown me this [8 week prediction of ICU surges] 4 years ago, I wouldn't have known what to do. Now I do."

Hospital President

Level 1 Trauma Center

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"Kinsa's predictive modeling capabilities will help us stay weeks ahead of the curve when it comes to potential viral surges, and near-future patient flow."

Chief Quality & Learning Officer

Allegheny Health Network

CASE STUDY

Allegheny Health Network: First Health System to Deploy Kinsa's Early Warning System

Highmark Health's integrated delivery network is leveraging Kinsa's real-time illness insights to model staffing needs and bed capacity, achieving a

49%

reduction in forecasting errors

“

Kinsa possesses a unique combination of expertise in both data science and epidemiology. This blended approach of artificial intelligence and medicine not only informs when and where illness will spread, but also helps organizations like Highmark Health to reduce clinical burn-out and accurately anticipate the needs of our customers.

— Richard Clarke, PhD, Senior Vice President, Chief Analytics Officer, Highmark Health

Recent press:

Highmark taps Kinsa to predict the spread of infectious disease

"Pittsburgh-based Highmark Health is teaming with Kinsa to harness real-time data to better predict outbreaks of infectious illnesses like influenza and COVID-19."

FIERCE
Healthcare
A Smart Way to Get Ahead of the Next Flu Surge

"Internet-connected thermometers can quickly show how influenza is spreading—so measures to control the disease can be targeted more effectively."

WIRED
HALLS® Brand Works with Kinsa® to Better Forecast Illness

"Kinsa's novel illness forecasts will inform financial planning, retailer engagement and other business decisions."

yahoo!finance