The currently crippled state of global healthcare infrastructures certainly requires a technology-led boost to improve treatment. Backed by algorithmic advancements, artificial intelligence (AI) is emerging as a key driver for healthcare digitization and automation. AI coupled with traditional document digitization systems, i.e. Optical Character Recognition (OCR) is achieving greater success for data capture and extraction. AI-OCR for digitizing healthcare records is a power duo that can handle complex medical records and lab reports efficiently and accurately.
As an experiential AI development company that provides AI-powered OCR solutions, Oodles AI sizes the potential of AI-OCR in the healthcare industry.
Significance of AI-OCR for Digitizing Healthcare Records
With massive data processing capabilities, AI-powered OCR is emerging as a sweet spot for enterprises looking for process automation applications. For healthcare data management, machine learning offers ideal techniques to scan, process, store, edit, and archive physical copies of medical records. AI-infused OCR scanning services automate and accelerate the adoption of “Electronic Health Records” for healthcare companies, thereby enhancing business intelligence.
In addition to automated data capture, below are some other business benefits of integrating AI-OCR for digitizing healthcare records-
1) Intelligent Data Extraction
While traditional OCR systems were inefficient at handling unstructured documents, intensively trained AI models can easily identify and capture text from complex docs. Healthcare data indexing and processing with AI-OCR solutions become highly efficient for-
a) Semi-structured and unstructured documents
b) Screen scrapping for desktop, web, and documents
c) Text analysis
d) Entity Extractions, and
e) Data capture from unstructured emails
Learn more: AI OCR for Digitizing Healthcare Records and Lab Reports