Medical Devices

SpringML has proven ML models to detect adverse event cases.

Innovate Across the Entire Device Lifecycle

Every day, vast amounts of medical device data is generated and left underutilized. From patient care data to device manufacturing, sales, and marketing data, how can all that information be put to use to deliver continuous improvements in design, production, sales, and services? Can it ultimately lead to better and safer patient care?

By using our machine learning and data consolidation solutions to innovate across the operation, we’ve helped medical devices companies get the most from their data. We quickly bring your key information systems together on secure, trusted cloud platforms. We then build and apply learning algorithms that evaluate your entire data landscape – good, bad, structured, and unstructured – to better understand your unique workflows and processes and deliver the insights you need to continuously improve them.

Insight from Every Data Point: From Device Sensors to Radiological Images

Our AI powered solutions can help enhance device-based patient monitoring to detect anomalies (such as variations in human speech) that indicate potential medical problems, or automated compliance reporting triggered by real-time monitoring of device sensors and critical KPIs. For example, our ML algorithms can analyze unstructured data including radiology scans and physician notes to accurately determine those rare cases that need to be reported to the FDA.

Use cases

Demand Forecasting

Our forecasting solution combines machine learning and user judgment to build an accurate plan for new product introduction and cold starts for new SKUs.

Adverse event reporting

SpringML specializes in advanced deep learning models to detect adverse event cases.

Marketing Campaign effectiveness

Use enhanced, data-driven sales forecasting to analyze current opportunities with historical data in order to discover seasonal and other trends and to forecast future sales with greater accuracy. Gauge the success of marketing campaigns by analyzing data from social media channels and major marketing solutions and platforms (from Salesforce, DMP, Datorama, HubSpot, and more) to better target the right buyers and increase the number of sales-qualified leads. What’s more, as new data becomes available, our ML algorithms constantly update any impacted campaigns or sales forecasts so that sales and production teams can better coordinate around planning and resources.

Demand Forecasting

Our forecasting solution combines machine learning and user judgment to build an accurate plan for new product introduction and cold starts for new SKUs.

Marketing Campaign effectiveness

Use enhanced, data-driven sales forecasting to analyze current opportunities with historical data in order to discover seasonal and other trends and to forecast future sales with greater accuracy. Gauge the success of marketing campaigns by analyzing data from social media channels and major marketing solutions and platforms (from Salesforce, DMP, Datorama, HubSpot, and more) to better target the right buyers and increase the number of sales-qualified leads. What’s more, as new data becomes available, our ML algorithms constantly update any impacted campaigns or sales forecasts so that sales and production teams can better coordinate around planning and resources.

Adverse event reporting

SpringML specializes in advanced deep learning models to detect adverse event cases.

Customer Successes

Learn about how our expertise has helped customers advance their Analytics and AI journey.

“SpringML helps our sales organization run more effectively. Their predictive algorithms provide us the insights to monitor our progress and see if our tweaks to sales programs, discounts and compensation are working. Their algorithms integrate seamlessly with the rest of our sales analytics dashboards allowing us to compare our internal numbers with their forecasts.”

RYAN AXELSON
Director Sales Analytics and CRM,

Thought Leadership

Check out our recent blogs and videos on best practices and implementation approach to help the healthcare community.

Let's Chat

We’re ready to help you seize the advantage with Machine Learning in Healthcare and Life Sciences.

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