44% health organizations already use artificial intelligence (AI) in one form or another, and more hospitals are trying to apply the technology to improvements in code documentation and clinical documentation. A recent black book survey found about 88% providers are implementing a plan that uses artificial intelligence to improve programmers “spending, accuracy, and efficiency. Sources: 12

How does AI improve the health system?

According to a recent report by the US Department of Health and Human Services, medical and dental clinics could use modern technologies to improve document workflows. Using AI in clinical decision-making can dramatically reduce costs and democratize access to healthcare by providing expert advice without the need for human doctors and expensive time. By recording conversations in free form and translating the content into structured documentation, intelligent speakers can be prepared in clinics to relieve doctors of their EHR burden. Machine Learning Analytics (CDSS) can also accelerate the process of delivering better and more efficient health services in the most real-time possible, based on the kind of knowledge base that has already been generated by health-care research. Using AI to automate these interactions can significantly reduce costs, improve expert access to patients and their families, democratize access to healthcare, and expand access beyond the eyes of the patient, giving human providers a better chance of getting disease earlier and achieving better outcomes earlier. 

Automated document processing can also save operating costs by getting some of the work done in a short time, according to a recent report from the American Medical Association. The key to harnessing the benefits of these new technologies is to get them to support the daily work of doctors and administrators by enabling faster, more accurate and more efficient processing and processing of documents.  

How does Intelligent document automation solve healthcare problems?

One solution is intelligent document automation technology, which includes cloud-based faxes, digitized document workflows and the use of artificial intelligence (AI) capabilities. Digital faxing is compatible with existing health information technology and also enables providers to reduce manual work and increase the accuracy of document processing. The platform serves as a platform that can deliver the same level of accuracy as traditional fax processing tools such as fax machines and fax-to-fax machines.  

As health organisations use increasingly complex data, it is vital that this data is properly recorded and documented. Doctors and dentists must invest in the ability to keep patient records and open classified data. Intelligent document processing and categorization allows the company to make this information accessible to enable it to work with greater accuracy. Roboextract ensures that documents can be edited easily and efficiently for a variety of document-based tasks.  

Instead of spending hours on data management, most companies prefer to delegate the task to professional document processing service providers. This means that approaches to intelligent document processing based on content identification and extraction templates may be ineffective if no reasonable template for insurers and health care providers to process potential documents can be created.

Roboextract – Intelligent web-based robot: What are the advantages?


Clinical staff at all levels often express their dissatisfaction with the growing pressure of data entry and searching through paper or electronic records attached to the patient record for limited, but critical information needed to make the best clinical decisions. Zapbot saves clinicians time by allowing them to spend less time scanning, opening, reading, and comprehending papers.


Our program helps you to get the details you need quickly and easily. Our approach has shortened the time it takes for workers to send separate data to the EMR by half on average. Zapbot helps you to concentrate more attention on the needs of the patient and the time spent looking through paper papers.


About 80% of the clinically actionable data stuck inside faxed clinical records can be reliably identified by Zapbot, removing the vast majority of manual data entry. Without going through the HIM department, results and original source documents will be redirected and properly connected to orders in the EMR.

For more information about how Zapbot automates document/data extraction, click here.

Automation software to get info from documents

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