Connect with us

Global Banking and Finance Review is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website. .




Florian Douetteau, CEO of Dataiku.

Intermedix has developed a predictive analytics application for hospitals and clinics that predicts patient no-shows, a problem that costs the healthcare industry billions of dollars each year.  The application was built by a small team of data scientists at Intermedix using Dataiku DSS and was prototyped and delivered within one month.

A leading provider of healthcare analytics and technology-enabled services, Intermedix, has developed a solution to address no-show patients using Dataiku Data Science Studio (DSS), the all-in-one predictive analytics and data science platform.  The problem of patients missing scheduled appointments costs the healthcare industry billions of dollars of lost revenue each year.  The predictive analytics software solution developed by Intermedix was built, tested and deployed by a small team of data scientists in just one month using Dataiku DSS and is now being used in more than 50 private clinics across the US.

Patient No Shows: A Billion-Dollar Problem

The unfortunate reality is that patient no-shows in the healthcare industry are extremely common, and industry-wide, this adds up to billions of dollars of losses each year. The long-term effect of this phenomenon is lowered reimbursement for providers and negative impacts on adherence, quality, and clinical outcome measures for patients. More and more organizations are turning towards advanced analytics to reduce the probability of no-shows and their associated costs using heterogeneous data to optimize scheduling systems.

The inability of healthcare organizations—big or small, public or private—to deal with the no-show issue has had a profound effect on patients’ medical health and on providers’ financial health.

Studies have shown that 5 – 10% of patients miss scheduled appointments. Primary care physicians lose an average revenue of $228 for every no-show, and lost revenue for specialists is even higher. In addition, overhead costs including staffing, insurance and utilities remain on the books. Cancellations with primary care physicians also impact the number of necessary specialist referrals those physicians can make. Combined, these factors contribute to significant revenue loss for physicians associated with patient no-shows.

Developing a Predictive Solution

Intermedix decided to develop and operationalize a no-show predictor that would assist local office managers in reducing the number of patients who miss appointments. The data science team set up Dataiku DSS to ingest and crunch historical appointment and demographic patient data. From there, they built a predictive model that scores individual patients based on the probability that they will miss a scheduled appointment. Dataiku DSS automatically sends this output to the office managers at regular intervals customized to their practice’s needs.

Thanks to the predictive report, local office managers and schedulers can make informed decisions on scheduling and proactively target reminders to the patients most likely to miss their appointments.

From Prototype to Deployment in One Month

Typically, developing and deploying such an application to cover site-specific patterns would take more than three months. Equipped with Dataiku DSS, Intermedix’s data science team was able to prototype and deliver the solution to more than 50 clinics in just one month.

“DSS slashed the amount of time it took to analyze our data, produce a working model and deploy a solution, all while improving the accuracy of our predictions,” said John Enderele, data scientist at Intermedix. “The platform will enable us to more rapidly identify our clients’ needs and respond with innovative, data-driven solutions to make them successful.”

Intermedix’s solution was made possible by the technology behind Dataiku, maker of the predictive analytics software platform Dataiku Data Science Studio (DSS). Dataiku DSS makes it possible for organizations to reap the benefits of data science thanks to a collaborative interface for both expert and beginner analysts and data scientists. Dataiku offers a complete and accessible advanced analytics software platform that allows teams made of different skill sets to streamline the process from raw data to predicted output, all in one tool.

Dataiku DSS can be used to quickly build predictive services and data products that transform raw data into business impacting products including:

  • Churn Analytics
  • Fraud Detection
  • Logistic Optimization
  • Data Management
  • Demand Forecasting
  • Spatial Analytics
  • Lifetime Value Optimization
  • Predictive Maintenance
  • and much more

To learn more about solutions provided by Dataiku DSS visit:

Global Banking & Finance Review


Why waste money on news and opinions when you can access them for free?

Take advantage of our newsletter subscription and stay informed on the go!

By submitting this form, you are consenting to receive marketing emails from: Global Banking & Finance Review │ Banking │ Finance │ Technology. You can revoke your consent to receive emails at any time by using the SafeUnsubscribe® link, found at the bottom of every email. Emails are serviced by Constant Contact

Recent Post