AI-Powered Document Processing
Streamline your patient information with accessible, structured data.
What you're facing:
What if there was a better way?
It takes over four full-time indexers to account for inputting patient information for every one physician in an ambulatory care setting, and a recent study found that around 40% of ambulatory patient information has errors. And even more important, demand in the ambulatory care space is only growing. Intelligent Document processing (IDP) uses AI and machine learning to help index and structure data for healthcare teams.
DataBank’s AI-Powered Document Processing uses IDP and on-site healthcare experts for a 98% accuracy rating with automatic patient information uploads into your EHR or ECM, automating your patient indexing processes, powering your organization to do more across every department, and improving patient care through data.
Let us guide you:
What is IDP? What ROI can be considered? How does it work? Get all that and more when you read our Guide to Structured Ambulatory Data.
How we do it:
We built our own IDP process for patient information indexing and structuring, adding healthcare experts in the loop to ensure data accuracy and eliminate errors. See how our process works from the first moment you partner with us. A proof of concept is always provided before any work begins.
Client Community
Featured Insights
Medical Records Indexing through AI: Webinar presented by DataBank
Learn our takeaways from the Medical Records Indexing through AI: Webinar presented by DataBank, regarding automating the medical record indexing process.
Healthcare Industry Top Challenges
Learn the challenges that our clients and other healthcare leaders are discovering when it comes to missing and inaccurate patient data, automation because of staffing shortages, and the demand for care.
How healthcare systems are using Intelligent Document Processing to streamline ambulatory patient information
Improve patient care and reduce admin burdens with IDP. AI-led document processing eliminates patient information errors, streamlines access and cuts costs.
Regional Iowa hospital uses Amplification Services to offload daily OnBase maintenance and prioritize patient care initiatives
DataBank’s Amplification Services is helping an Iowa hospital conquer daily OnBase maintenance, EMR integration and building new solutions.
Building Blocks: Increase productivity and boost employee happiness through team engagement
Ensure your team is prepped to combat burnout, create better hiring practices & enhance the patient experience.
3 Strategies to Reduce Your Hospital Readmissions Penalties
How can your hospital reduce these costly penalties, by reducing CMS patient readmissions overall?
Information Blocking Regulations: 5 Major Takeaways for Healthcare Organizations
The Office of the National Coordinator for Health Information Technology (ONC) published the final Information Blocking Rule. Here are 5 major takeaways.
Utilizing Top Healthcare IT in Outpatient Facilities to Reduce Costs and Streamline Care Coordination
High insurance premiums, tall deductibles, co-pays, and other out-of-pocket expenses are just some overheads patients have to face for adequate health and wellness in this country.
How to Ease the Pain and Overcome Healthcare Data Management Inefficiency
Health information is constantly changing throughout a patient’s life, so the method of how it is collected, stored, and transferred is critical.
6 Questions to Ask About Distributed Capture
Frequently asked questions about distributed capture.