How the healthcare and life sciences industry automates business processes with AI
Reduce admin burden on clinical and support teams
Healthcare workers spend hours processing referrals, patient intake forms, and insurance documents. Affinda automates data extraction across all formats, freeing up time for patient care, not paperwork.Improve data quality and reduce manual rekeying
Patient and clinical data often arrives in scanned or handwritten forms that can’t be fed directly into core systems. Affinda extracts and structures this data automatically, reducing rekeying and helping systems stay accurate and up to date.Protect sensitive data and reduce risk
Healthcare documents often contain personal or confidential information that must be handled carefully. Affinda can automatically identify and redact sensitive fields, helping teams meet data protection standards and reduce compliance risk.Extract any information from any document, fast
Create models in seconds
Upload a claims document and the Affinda Platform will predict the fields you need – like claimant details, policy number, incident date, totals and line items – so you can automate claims document processing in just a few clicks.
Validate and transform data
The platform checks extracted claims data against your business rules and transforms it into a format your claims management system expects. That way, it’s ready for workflows like coverage checks, reserving, routing and settlement.
Apply your business logic
Use natural language to write validation rules that match your claims workflows, for example: flag missing fields; check policy numbers match correct formats; validate that document dates are within ranges; check financial consistency, such as line items summing correctly to totals.Pathway 1: Use the Agent
Create integrations fast, even if you’re not a developer. Choose from 2800+ business systems and describe how you want your claims document processing workflow to connect, using natural language. The Agent will generate the code to make it happen.Pathway 2: Write your own code
Easily connect Affinda Platform to your claims stack using our client libraries and APIs. Automatically generate type-safe Pydantic models or TypeScript interfaces tailored to your claims documents, so extracted fields map cleanly into your workflows.
No need to talk to sales. Get started now
With a free trial, discover how easy it is to extract any information from any document, fast.Sign up for free
No sales calls, no credit cards and no hidden features. Get all the power in your hands from day one.Upload documents
Drag and drop, email or upload via API. Affinda can handle any document, any file type and any layout with ease.See the magic
Watch as the platform predicts the information you want to extract, letting you build models in minutes, not months.Automating their document processes with AI
Combine the best of artificial and human intelligence
1B+ documents processed
10+ years of IP combined with the latest AI innovations
800+ customers
95% reduction in manual processing achieved
Frequently asked questions
How does AI document processing help automate healthcare workflows?
Artificial intelligence (AI) continues to transform various sectors, and the healthcare industry is no exception. For healthcare practices and other organizations within the industry, managing a huge volume of data — including handwritten prescriptions, patient records, billing data and medical reports — is a major challenge. For these document workflows, Affinda's AI-powered optical character recognition (OCR) data extractor becomes a crucial tool to read, scan and automatically extract required data from these diverse documents with extreme accuracy. The machine learning algorithms within the AI OCR technology allow it to continually enhance its recognition capability, further increasing data accuracy and extraction speed over time.
What are some examples of AI automation use cases in healthcare?
Affinda's AI data extractor provides healthcare organizations with a wide range of benefits. It can quickly capture and convert patient data into a digitized format to simplify data management and significantly speeds up patient service times. By eliminating manual data input, the advanced technology reduces human error, ensuring the information extracted from healthcare documents is highly accurate. Furthermore, this automated data extraction enables healthcare professionals to save valuable time, which can be redirected towards patient care. Overall, integrating Affinda's AI-powered OCR data extractor with healthcare workflows allows businesses to automate their existing processes, reduce human error, improve data handling efficiency and enhance patient care.