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.  show more

Community Return on Investment

Serve more patients by improving resource utilization during peak hours.

Improve access to appointment times through a better understanding of the patient experience.

Reduce appointment wait times and improve patient satisfaction.

Increase productivity and efficiency as providers dedicate unbooked blocks to non-patient care work.

Optimize appointment scheduling to ensure fewer unused appointment time-slots and improve organizational resource utilization.

Why we are different

Healthcare centers are under increasing pressure to provide care with two attributes that do not inherently align: organizational efficiency and patient satisfaction. CDP’s predictive scheduling tool helps organizations satisfy both goals by providing historical and near real-time feedback in a manner that is equally understandable to providers, schedulers, and business people alike.

Basic Schedule Density Simulator features include:

Appointment Fill Probability

Identify empty time-slots and specialties/clinics at a provider level to inform staffing needs

Appointment Cancellation/Reschedule Probability
Identify which filled time slots have a high likelihood of being open in the future
Historical trends
Understand patient trends in scheduling, including repeat cancellations, late arrivals, or no-show factors, so as to take measures to mitigate these factors to limit undesired behavior through interventions like reminder calls or confirmations
Status of future appointments
Ensure an optimal staff mix each day based on what is required for the scheduled appointments using an analysis of patient histories, staff scheduling, and appropriate tracking metrics like time of appointment, actual time seen, patient satisfaction scores and more.

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

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.

The Patient Demand Toolset 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 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.

Why 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 Toolset 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

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