HEALTHCARE

Schedule Density Simulator

 

Description & Features

Healthcare centers are interested in improving access to providers by balancing appointment demand, improving clinic efficiency, and optimizing time management. Using advanced analytics, CDP will help healthcare clients better understand patient appointment scheduling, show more

Community Return on Investment

The tool will assist in setting appointments to ensure fewer unused appointment time-slots (either never scheduled or cancelled) which will improve organizational resource utilization.
Improved access to appointment times and reduced appointment wait times will improve patient satisfaction.
Better understanding of likely “downtime” may help providers plan for non-patient care work (e.g., “paperwork”).

Why 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.

Basic Financial Dashboard features include:

Probability of an appointment slot being filled
The user can look at empty time slots and specialties/clinics at a granular level to inform staffing
Probability of an appointment being cancelled or rescheduled
The user can identify when filled time slots have a high likelihood of being open in the future
Historical trends
Clients can understand their own trends in scheduling, including frequent cancellations, late arrivals, or no-show factors. They can take measures to mitigate these factors to limit undesired behavior through interventions like reminder calls or confirmations
Status of future appointments
The health care center can ensure that the staff mix on hand corresponds to that required for the scheduled appointments. Given histories of patient and staff scheduling coupled with appropriate metrics (such as time when patient is actually seen, whether a day had significant delays, or even patient satisfaction measures) CDP can examine what staffing levels are associated with the provision of prompt, satisfying care given the needs of a day’s schedule.

Testimonials

HEALTHCARE

Patient Demand Dashboard

Description & Features

Extending hours of care not only impacts a healthcare organization, but also the community. While providing more hours will give patients additional options for access to providers, the healthcare center as a business needs to weigh the financial costs and workforce impacts against the estimated benefits. 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

Why 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.

Basic Financial Dashboard features include:

Patients are visiting similar centers during extended hours
We will analyze the extended hours trends of similar centers. For example, if a similar center has extended their hours in the last few years, we will be able to analyze the number of patients using the facility before and after the extension using mobility data.
Demand for services that can be offered during extended hours
We will work with the client to identify potential services to be offered during extended hours. One key example being patients seeking urgent care for routine services. Using our mobility data services, we can geofence urgent care clinics to determine where patients are coming from and the overall demand during the extended hours.
Demand for care at the beginning and end of days
While our clients know where their patients live, CDP can use mobility data to tell where people are coming from when they reach the center and where they are going afterwards. This will give insights into the expected market for extended hours.
Scenario testing
Users will be able to interact with the results of the predictive model through a visual scenario evaluation tool. The user enters the days of the week, times, services, etc. into the calculator, describing a scenario for extended hours, and the tool will display the expected patient demand.

Testimonials

HEALTHCARE

Patient Demand Toolset

Description & Features

While extending care hours will give patients additional options for access to providers, the healthcare center as a business needs to weigh the financial costs and workforce impacts against the estimated benefits. What is best for the community as a whole?

Community Return on Investment

Predict patient demand during normal and extended hours to compare expected revenue from extended hours with the costs of staffing
Understand demand to help right-size staffing and new potential new hires
Evaluate the best approach for the organization before full implementation with scenario testing

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 Patient Demand Dashboard 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.

HEALTHCARE

Healthcare Demand Dashboard

Description & Features

Healthcare organizations have volumes of data on the people they interact with but often have little ability to ascertain the total needs and demand in the larger context of the communities they serve. CDP can provide better estimates by combining our Community Clusters show more

Community Return on Investment

Under-treated populations can be identified and targeted for outreach programs that can both bring in more revenue and improve community health.
Conditions which are over-observed can be considered for screening or prevention programs, can be an early indicator of epidemics or environmental exposures, or can indicate unnecessary overtreatment

Why we are different

Although some applications calculate similar numbers, we have not seen anything that:

  • – Uses population data as rich, accurate, and timely as CDP’s effective population study. Our study leads to monthly and even daily population estimates and demographic characteristics.
  • – Integrates all this information into a single concise data presentation.

Basic Financial Dashboard features include:

Overall expected demand
Number of cases, visits, treatments and costs expected in a variety of medical categories
Leakage
Identifying populations and conditions which are seen less than expected may be a sign of leakage to other providers and opportunities to expand business.
Identify unmet needs
Determine how well your institution is meeting its mission. Find areas for further outreach and determine what new programs or services could make the most impact.
Compliance
Community health needs assessments are often required for funding or certification. This product brings cutting edge demography as a cornerstone to this endeavor.

Testimonials

HEALTHCARE

Healthcare Demand Toolset

Description & Features

Provide better estimates, better care, and better outcomes by combining Community Cluster information and demography numbers with the best epidemiological and insurance data in our proprietary models.

Community Return on Investment

Identify and target under-treated populations for outreach programs that can both bring in more revenue and improve community health.
Pinpoint social determinants of health present in your community. Who is at risk of different conditions and are they getting preventative care?
Establish screening and prevention programs for conditions which are over-observed, which can be an early indicator of epidemics or environmental exposures.
Meet unmet patient needs and expand offerings by understanding where leakage occurs to other providers.

How we are different

Although some applications calculate similar numbers, we have built a product that uses rich, accurate, and timely effective population studies to provide hyper-local accountability. Nowhere else will healthcare organizations find monthly—and even daily—population estimates and demographic characteristics integrated into a single, easy-to-use data presentation.

The Healthcare Demand Dashboard includes:

Overall Expected Demand
Number of cases, visits, treatments, and costs expected in a variety of medical categories
Leakage
Populations and conditions which are seen less than expected may be a sign of leakage to other providers or evidence they are not receiving preventative care.
Unmet Needs Indicator
Areas for further outreach as well as what new programs or services could make the most impact given social determinants of health.
Compliance
Assessments are often required for funding or certification. This product brings cutting edge demography as a cornerstone to this endeavor.

Testimonials

Scroll to top