Automating Medical Document Data Extraction in 2024
Collecting relevant patient data to the correct database for an efficient healthcare experience is still the greatest challenge in healthcare.[1] Due to many variables involved, the healthcare industry requires, on average, 7.7x more administrative workers than other industries, demonstrating the requirement to introduce intelligent automation to free healthcare workers.
Automating healthcare document processing can help organizations reduce operating spending and streamline their processes while improving patient healthcare.
The healthcare industry is trying to manage three things simultaneously: providing excellent healthcare at the lowest prices while ensuring smooth processes for all their stakeholders, which can get easier with healthcare document automation.
Reduce patient wait times, amplify the workforce and improve efficiency across your healthcare ecosystem with automated document processing and workflows. Start your free trial today.
Current healthcare workflow: Medical documents at every step
The current healthcare system is full of documents at every step of patient's journey. Some of the patient documents required in the process:
- Patient Identity cards
- Scheduling registration
- Previous medical history documents
- Patient registration form
- Medical Prescription
- Healthcare insurance documents
- Claims processing documents
And more. We’re not even considering doctor’s notes, patient records, patient charts, health checkup documents, etc. With so many documents in the mix, doctors spend over 66% of their time preparing and filling out paperwork from one document to another. This puts stress on this entire ecosystem.
Automating healthcare document data extraction is an easy way to reduce the load.
But, do you really need to automate medical document data extraction?
By 2025, it is estimated that the United States will need to hire an extra 2.3 million new frontline healthcare workers due to inefficient data extraction from medical documents. Skilled healthcare staff is manually shifting patient health data into the system, which wastes their time and leads to errors in the data processing.
Manual data extraction from healthcare documents leads to high errors, which have greater repercussions. Like, 30% of patient charts are misplaced due to inefficient tagging and document archiving. And over 80% of all serious medical errors occur during care transitions.
An intelligent automation platform, like Nanonets, can automate medical document data extraction & also update data across disparate healthcare systems in real time. Automating just 36% of the healthcare document processes can save up to $11 Billion in claims alone.
Now that we’ve established the importance of automating data from healthcare documents let’s move toward how you can use it to optimize healthcare processes.
Optimize healthcare processes with medical document data extraction automation.
Let’s divide the entire healthcare experience into three stages :
- Pre-clinical visit - During this time, the patient is scheduling the visit
- During Visit - The patient visits the clinic, provides insurance documents, gets checked, and is provided a medical prescription.
- Post Clinic Visit - Patient gets notifications and bills.
Pre-Visit
During the pre-visit, the patient provides their information to book and schedule an appointment. With an automated healthcare document system, healthcare organizations can collect essential patient data, extract data from patient forms, validate insurance coverage, and more before the patient enters the clinic.
During Visit
Once the patient enters the medical facility, they’ll be asked to verify their identity and documents and meet the doctor. The doctor analyses data from all patient records and then provides prescriptions. This process can be automated easily. All the patient data can be collected and stored in the system, so the doctor can see the entire medical history in one go. The prescription can be digitized and added to the patient record for future reference.
After visit
After the clinical visit, the data from insurance documents can be used to calculate the final invoice amount and sent to the patient. This can be done easily using no-code workflows that allow for complex computations.
How to extract data from medical documents using Nanonets?
Nanonets is an AI-based OCR software. A HIPPA cerified, GDPR and SOC2 compliant platform perfect for healthcare document management. Nanonets can extract text from your medical documents, process data, sync data into different systems, process invoices and more.
Here’s how Nanonets can automate data extraction from medical documents.
Document Collection
You can automatically collect documents from email, DropBox, Zapier and more. This way, you’ll automatically ingest medical documents into the system.
Data Extraction & Processing
Once a document enters the system, Nanonets can recognize and classify documents. After this, documents can be sent to their OCR models where relevant data is extracted from medical documents.
After data extraction, you can also set up automated rules to perform data formatting like text capitalization, date formatting, data matching, and more.
Data Syncing
Once data is extracted, you’ll want to update it in your systems like ERP, CRM or EHRs. All you need to do is set up data export rules easily.
Nanonets can convert your medical documents into searchable PDFs and save them in a digital drive. You can then find your documents by just using keywords mentioned in the medical document.
Nanonets can be used to extract data from:
- Medical Documents
- Health insurance plans
- Invoices
- Claims
- Patient Surveys
- Authorization Forms
- Doctor Letters
- Prescriptions
- ID Cards
And more.
Are you solving any healthcare document processing issue? We would love to help you out. Schedule a call so our experts can understand your use case and create automated workflows for you.
Why Nanonets for clinical document data extraction?
Nanonets is a completely flexible platform, so if you have any requirement, feel free to reach out to us. It can provide multitude of benefits for healthcare organizations:
Eliminate Manual Data Entry
Nanonets OCR API automatically extracts relevant information from any kind of document (patient slips, invoices, receipts, patient surveys, and more).
Reduce Errors in processing patient documents.
Introduce speed, efficiency, and accuracy to your healthcare document processing.
Reduce patient wait times
Slash patient onboarding, claims to process, and medicare compliance wait times with efficient healthcare automation systems.
Expedite claims processing
Use extracted patient data from hospitals reports, patient records, health insurance plans and more to verify and approve submitted claims.
Also, it is easy to use, setup and manage, even for non coders.
Easy to use UI
Use a drag and drop intuitive interface to perform all activities.
Integrations
Connect with all the legacy hospital tech stacks with easy API integrations.
Easy Implementation
Implement new features or customize processes without a hassle.
Create Custom Models
Cannot find a pre-trained template? Create your own in less than 15 mins!
Workflow integration
Conduct complete end-to-end document management using one single platform.
Conclusion
Extracting data from medical documents and digitizing healthcare is the next obvious step to providing great healthcare experiences and low cost by reducing manual document processing costs. Using platforms like Nanonets, you can quickly extract data from PDFs, forms, and scanned documents and combine patient data for efficient healthcare outcomes. If you need custom workflows, you can schedule a call with our team easily.
