COVID-19

Make Reliable Estimates & Predictions

Description & Features

Understand the scale of the crisis in your community by leveraging real-time data & advanced analytics (expected cases, hospitalizations rate, resource needs)show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Make Reliable Estimates & Predictions Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Identify the Most Vulnerable

Description & Features

Understand your most vulnerable populations and understand how vulnerability will change (medical, socio-economic, physical)show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Identify the Most Vulnerable Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Respond Effectively

Description & Features

Map critical facilities & transit routes so resources reach those who need it most show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Respond Effectively Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Workforce Support

Description & Features

Understand the workforce segments and crisis impacts on each (hourly, knowledge, creative, government, & philanthropic) show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Workforce Support Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Business Composition

Description & Features

Detail the economic drivers for your community from large corporations to small businesses and use predictive analytics to understand likely recovery rates show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Business Composition Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Reset Strategies

Description & Features

By understanding workforce resources, supply chains, and the industries most likely to recover, you can develop evidence-based recovery strategies which will have immediate impact show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Reset Strategies Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Community Characteristics

Description & Features

You can’t serve a community you can’t understand. High quality information on relevant community characteristics – ahead of time – means effective responses can be deployed efficiently show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Community Characteristics Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Resources and Gaps

Description & Features

Identify critical facilities, understand their location in terms of the most vulnerable segments of the population, and ensure resources are sufficient to meet a variety of crisis scenarios show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Resources and Gaps Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.

COVID-19

Population Readiness

Description & Features

The best plans will be ineffective if your population is not educated and prepared. Through quantitative survey methodologies your community can know with certainty who is ready and who is not show more

Community Return on Investment

Scenario testing will allow the client to evaluate the best approach for the organization before full implementation
Predicting demand allows the provider to compare expected revenue from extended hours to the costs of staffing
Understanding demand will help right-size staffing and new potential new hires

How we are different

Most healthcare centers only know about themselves and their own supply and demand when making expansion decisions. CDP leverages a variety of data sources—including mobility data—that allow us to estimate bleed as a factor in decision-making. We can detect where your primary market base is going for extended-hours care. Our scenario testing tool, when used in combination with our advanced predictive modeling techniques, will allow health care centers to consider and evaluate a variety of approaches before making a final decision.

The Population Readiness Includes

Overall Extended-Hour Demand
Extended hours trends of similar centers through the use of mobility data, using the number of patients before and after normal business hours.
Specific Services Demand
Demand for specific or routine services offered during extended hours, procured through the use of mobility data, urgent care geofencing, and time of day.
Marketing Opportunity Indicators
Mobility data insights based on where people are coming from and where they head to after leaving extended hours at a clinic.
Scenario Testing
This predictive model for patient demand uses available data to create a visual evaluation scenario with inputs for the days of the week, times, services, and more.
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