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Increasing patient counts and rapidly evolving technologies are generating unprecedented amounts of health-related data. We’ve developed analytical solutions to harness the power inherent in that information. Our solutions help reduce patient recidivism and improve processes. This increases convenience for patients and providers and lowers costs across the board.
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As the Healthcare industry continues to evolve, so do its challenges. How can providers overcome them? We use the power of science paired with analytics to deliver data that can reduce patient recidivism and emergency situations, and limit the negative outcomes that can occur at home.
By harnessing the power of data through analytics, we can optimize the success of our clients’ services.
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Your organization makes decisions every day, every hour, every minute that affect patient outcomes and the bottom line. We can help provide insight into the impact of those decisions and deliver metrics that are most important to achieving your goals.
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Our performance dashboard gives a high-level view of your telehealth program so you can make strategic decisions based on real-world results. For larger implementations involving multiple locations, you have the ability to drill into the performance of each facility for quick, tactical updates to your program.
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Telehealth solutions are a great addition to the continuum of care, but they come at a cost to your organization. Our analytical processes uncover the best telehealth program patient mix to meet your budgetary constraints.
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For 40 years, Urban Science has utilized data and analytics to solve problems. Now we’re using this expertise to tap into the abundance of data in the healthcare field today.
As the Healthcare industry continues to evolve, so do its challenges. How can providers overcome them? We use the power of science paired with analytics to deliver data that can reduce patient recidivism and emergency situations, and limit the negative outcomes that can occur at home.
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We focus on Key Performance Indicators (KPIs) associated with improvements to patient outcomes, satisfaction and profitability. We process historic data and current best practices to analyze the relationship between each KPI and its influence on satisfaction and profit. By knowing the effect those KPIs have on your organizational goals, you now have the insight to make changes that provide the biggest positive impact on those goals.
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Determining dry weight using multi-frequency bioimpedance
Accurately determining the dry weight1 of hemodialysis patients is a major challenge in the clinical treatment of the patient. A study was conducted with 40 patients to understand the benefit of Bioelectrical Impedance Analysis, or Bioimpedance2, which has been recognized as a noninvasive, simple technique to determine the dry weight in these patients.
During the study, each of the 40 patients underwent approximately eight dialysis sessions. All of the session data were collected and checked for quality issues, such as incorrect use of the bioimpedance device, the device not being turned off between sessions, etc.
Comparing the slope from the first 30 minutes of the session with the slope of the last 20 minutes of the session, the R 2 for all of the lines are very high, indicating a strong fit.
A strong relationship was found between the two frequencies used in the bioimpedance device at both the start and end of the hemodialysis treatment. This provides solid insight indicating an objective and repeatable process can be developed to determine patient dry weight using multi-frequency bioimpedance. The Urban Science analysis was a first significant step in establishing an evidence-based process for determining the end point for dialysis sessions.
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The economics of plasma-based drugs are complex. The supply is based on the availability of plasma donations from individuals and involves a 12-18 month processing time. For wholesalers, the focus on inventory management is more important than margin. Predicting demand would allow wholesalers to increase their purchase of plasma products before a spike in usage and therefore optimize inventory and increase profits.
The study looked at various data points that could be used to predict demand based on historic fluctuations. A comprehensive view of the market was accomplished by combining internal intravenous immunoglobulin (IVIG) sales data with external data sources. The analysis set forth to find relationships between demographic information and plasma product sales data. Since demographic information can be forecasted through established processes, the sales data, therefore, can be forecasted with any correlation found with this study.
The study found a number of variables with relationships to the IVIG sales data. The strongest predictor was Health Systems with a Blood Specialty. By analyzing the patient mix within those health systems and applying demographic projections, an IVIG sales forecast can be attained. The second strongest predictor was the Number of Pregnancy Cases Taken at the Hospital. Similarly, by looking at demographic projections for future pregnancies, a reasonable sales forecast can be achieved.
