Text recognition, or Optical Character Recognition (OCR), is nothing new. It's been used in various applications for many years. However, its use in the healthcare system has taken on a whole new level of importance with the advent of artificial intelligence (AI). With AI-enabled OCR, hospitals and clinics can quickly and accurately extract information from scanned documents, making data entry and retrieval much simpler and faster than ever before. This not only saves time and money, but it also allows for better patient care.
Text and data in printed or scanned documents (such as medical reports, prescription forms, patient records, and letters) can be automatically extracted and imported into other applications. In addition, this data can be used to streamline internal processes and improve efficiency.
The application of OCR enables printed documents to be digitally stored as searchable PDF files. These documents can then be linked to the patient’s electronic health record (EHRs) and easily accessed at any time using search keywords present in the document itself, which provides valuable benefits including a better user experience as well as increased productivity.
From simply an image to usable standardized structured data in healthcare.
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While traditional OCR systems are inefficient at handling unstructured documents, Jonda's intensively trained AI models can easily identify and capture text from complex documents.
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If you’re looking for a more efficient and accurate way to capture text from complex documents, Jonda Health has the solution. Our AI-powered OCR is specifically trained to handle unstructured data, so you can rest assured that your documents will be processed quickly and accurately.
Find out how Jonda's AI-powered technology can benefit your business here.
