3 Steps to Reduce Patient Data Waste
Inadequate patient matching and duplicate record creation is an increasingly complex and expensive issue that many healthcare organizations face. As healthcare shifts from a service based to a value-based model it has become more important than ever to capture patient data correctly to ensure accuracy and eliminate duplicate records.
When patients are identified incorrectly it not only places the patient’s safety at risk, it also places an undo financial burden on the healthcare facility. Duplicate records cost the average hospital $1.5 million annually, and the healthcare system over $6 billion annually. Is your practice impacted by inadequate patient data? If so, here are some steps you can take to help your organization:
1. Adapt to a location intelligent system
The retail industry has pioneered this technology with their online checkout using auto-complete to fill in shipping and billing addresses. Did you know that healthcare facilities can now leverage this same technology to prevent incorrect addresses proliferating their systems? Location intelligence with address verification allows organizations to authenticate and standardize address information before the patient submits their forms. Type-ahead technology ensures their data will be standardized and verified by the USPS, which improves match rates by up to 3% than before. When employed, ImagineDiscovery reduces manual demographic corrections and helps you find duplicate insurance information as well.
2. Ensure your billing system employs a self-learning/ai solution
Having a system that understands how your organization works is key in reducing waste and increasing efficiency. A rule based intelligent system should, by design, improve over time to not only further record matching accuracy, but also alleviate data reconciliation burdens that are piecing together fragmented, disconnected patient information sources. AI algorithms are able to adjust themselves based on the feedback provided by your staff as they help to remedy the ambiguity between two or more records. Meaning that as your staff adjusts and corrects processes, the system will in turn learn from their intervention and start making the changes on its own. Using this type of AI will ensure your patient’s data is matched appropriately, thereby reducing the provider’s risk of misdiagnosis or redundant orders for imaging or treatment. ImagineSoftware employs ImagineAppliance and ImagineAI, which are both self-learning systems that record the operations your staff makes inside the program and adapts to take the repetitive nature out of everyday tasks.
3. Mobile Friendly Patient Systems
Over 95% of American’s now own a cellphone, of which 77% own a smartphone. With the appropriate controls, firewalls and servers in place, the patient can actively manage and engage with their healthcare records online. By having the ability to update their address, phone number and email address, patient matching efforts can be supported by the user at key stages rather than just at the point of enrollment. Utilizing the patient’s smartphone as a point of entry is a promising approach to improve the accuracy of demographic data received from individuals. Mobile friendly technology combined with location intelligence gives your organization two powerful tools, that if combined can impact your patient matching on a large scale.
These solutions are relatively easy to adapt into your practice if you are already working with a skilled and knowledgeable revenue cycle management system. If your billing practice already employs one of these solutions, it should be fairly easy to add on a module to help streamline your process. For ImagineSoftware users ImagineAppliance, ImagineAI and ImagineDiscovery easily plug into your existing ImagineBilling solution to help streamline your processes and help you identify duplicate records automatically. Get in touch with us today to see how we can reduce waste and improve your bottom line.