What kinds of business problems can machine learning handle?
At LeanTaaS, our focus is to use predictive analytics, optimization algorithms, machine learning and simulation methods to unlock the capacity of scarce assets in a health system – a challenging problem due to the high variability inherent in health care.
The solution must be able to generate recommendations that are specific enough in order for the front line to make hundreds of tangible decisions each day. The staff must have the confidence that the machine arrived at those recommendations having processed vast amounts of data in addition to having learned from all of the changes in the patient volume, mix, treatments, capacity, staffing, equipment, etc., that will inevitably occur over time.
Consider a solution that provides intelligent guidance to schedulers on the right time slot in which a specific appointment should be scheduled. Machine learning algorithms can compare the patterns for the appointments that were actually booked versus the recommended pattern of appointments. Discrepancies can be analyzed automatically and at scale to classify the “misses” as either unique events, scheduler errors or an indicator that the optimized templates are drifting out of alignment and therefore warrant a refresh.
As another example, there are dozens of reasons why patients may arrive early, on time or late to their scheduled appointments. By mining the pattern of arrival times, algorithms can continuously “learn” the degree of punctuality (or lack of) based on the time of the day and the specific weekday. These can be incorporated into making specific tweaks on the optimal appointment template so that they are resilient to the inevitable shocks and delays that occur in any real-world system involving patient appointments.
More Q&As from our experts
- What are some key mistakes companies tend to make when it comes to implementing and using big data analytics?
- How can small businesses integrate machine learning into their processes ... or should they even do so?
- What's the difference between model-driven AI and data-driven AI?
- Machine Learning
- Predictive Analytics
- Predictive Analytics Tools
- Data Mining
- Cloud Computing
- Financial Malware
- Cloud Provider
- Data Mart
Tech moves fast! Stay ahead of the curve with Techopedia!
Join nearly 200,000 subscribers who receive actionable tech insights from Techopedia.
- RPA 101: How to Enable Process Intelligence Within Your Organization
- Data Governance Is Everyone's Business
- Key Applications for AI in the Supply Chain
- Service Mesh for Mere Mortals - Free 100+ page eBook
- Do You Need a Head of Remote?
- Web Data Collection in 2022 - Everything you need to know
- How to Protect Microsoft 365 from NOBELIUM Hackers