Ditch manual coding. GaleAI uses artificial intelligence, machine learning, and natural language processing to drive more accurate coding and higher revenue.
Smarter, faster coding allows providers to bill for the work they perform and collect for the work they bill
higher revenues by eliminating
under-coding
reduced time spent coding
of notes simultaneously
analyzed in seconds
We create the thing... Ditch the manual coding and let our network-driven, deeply trained AI realize efficiencies to drive higher revenue, lower errors, and 65% more accurate coding on average. that’s constantly evolving.
Our neural engine learns your coding habits with every note; the more you use it, the smarter it gets.
Applies knowledge gained from all users across the GaleAI network to maximize
your coding accuracy.
GaleAI reads and interprets your medical notes and returns accurate, relevant CPT codes.
GaleAI has been trained and tested using retrospective medical notes from paid claims
Everyone involved with medical coding and billing; physicians, nurses, physician and medical assistants, medical coders and revenue cycle management staff
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Up to 10-15% increased revenue by accurately capturing all relevant CPT codes.
Integrates into EHR platforms and can be used on desktops, tablets and cell phones.
Intuitive design which is ready to use with little to no training.
Common language code searches and automated coding speeds throughput.
Customizable pre-authorization based on your physician’s procedures.
GaleAI pairs each CPT code with its wRVUs, allowing for real-time revenue monitoring.
Designed for maximal medical record security with the end-user in mind.
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A 1 month retrospective audit comparing GaleAI to 3rd party coders found the human coders missed 7.9% of codes identified by GaleAI. This audit identified an estimated $1.14M in yearly lost revenue due to undercoding with human coders at a cost of less than 1% of gained revenue.
undercoding rate of existing human-driven service identified by GaleAI
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