Generate insight from clinical, risk, and financial data to achieve improved outcomes

We provide customized analytic and consulting services designed to generate insight from client clinical, risk, and financial data, required to achieve improved outcomes. By drawing on multiple data streams and utilizing advanced analytics, it becomes possible to predict where, when, how, and why patients are most likely to be harmed and then target interventions before that harm can occur.

We offer a wide variety of advanced analytic services, employing a highly multi-disciplinary approach including reliance on statistics, computer science, machine learning, and more. Through the use of multiple regression, survival analysis, Markov models, sensitivity analysis, and other sophisticated statistical techniques, Pascal develops statistical and/or predictive models, tests their accuracy, and then refines them over time in an iterative process benefiting from Pascal’s large data sets.

The analytic approach is customized for each client in order to address their unique needs and desired outcomes. Engagements are designed for each client based on the stated goals, the data they have collected through Pascal as well as outside data sources they make available for the analysis. The process is outlined below:

• Defining analytic objectives
• Developing scientific hypotheses
• Defining data sources
• Analyzing data streams
• Building predictive models
• Delivering analytic insight

The foundation for everything we do is a deep clinical expertise in safety, quality, and risk. We discipline what the science supports as “true” with what is clinically advisable.

Our team of scientists, clinicians, and subject matter experts can help you achieve a deeper understanding of your clinical environment and data as well as, most importantly, translate that into actionable solutions.