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June 24, 2022
Healthcare over the years has modernized into a well organized machinery. Yet, there are underlying issues such as manual document processing that still pile up as a major hiccup while providing care. In order to provide a relevant solution, this blog will focus on major benefits of VisionERA IDP, IDP solution for various use cases, estimation of cost reduction post automation, and more.
Post Covid-19, the demand for better and improved healthcare services is on the rise. From telemedicine to video conferencing, technology is bridging the gap between doctors and patients. Yet, the task of document processing is still managed manually. Much of these document processing needs are catered by frontline workers such as doctors, nurses, and other associated staff. This process is frequent, recurring, and thereby time consuming, time that can be well spent on treating patients.
In this scenario, it is ideal for any healthcare organization to start automating the documentation process using an intelligent document processing platform. It is because healthcare generates a wide range of unstructured documents that can only be processed automatically using an IDP.
Although, the question that remains is what exactly an IDP is? Read ahead to find out…
Intelligent Document Processing is a one-stop document processing solution for any healthcare organization. It allows organizations to extract and verify unstructured data in bulk from a variety of healthcare documents. For example Patient Information Leaflet (PIL), Medical History, Discharge Summary, Medical Status, etc.
An IDP is an amalgamation of multiple proprietary technologies that enables it to perform its operation with exceptional accuracy and provide necessary automation. These technologies are artificial intelligence, machine learning, natural language processing, and computer vision. It can also integrate with an RPA (Robotic Process Automation) to provide a complete end-to-end solution for simple automated functions such as upload, download, storage, etc.
VisionERA IDP works in three stages i.e. decode, decipher, and decide. Let’s have a look at how each of these stages helps in processing unstructured documents to processed documents.
Once the batch of unstructured documents is uploaded into the IDP platform, these are the following stages that take place:
Decode: During this stage, the IDP will pre-process the documents uploaded for enhancing the quality for better image extraction. It comprises image adjustment for noise cancellation, sharpening, etc. After that, the embedded computer vision algorithm with OCR/ICR will capture data from these documents. The extracted data will be auto-classified & indexed using machine learning and passed onto the next stage.
Decipher: Here NLP backed by its deep learning network will start to extract relevant data from the previously captured data. Following this, business logic and triangulation logic will be applied to the data extracted for validation and verification.
Decide: This is the final stage. At this stage, the data will be uploaded to the relevant downstream application i.e. DMS, SAP, ERP, mails, messages, etc. IDP also allows employees to download the excel files for processed data directly.
Aside from the compelling accuracy and automation numbers of VisionERA, multiple other features of VisionERA make it a standout one-stop document processing solution. These are:
Adding to these exceptional features, VisionERA also allows custom DIY workflows and documentation. It can be handled by anyone without any coding experience. It is an easy-to-use platform that learns and evolves using a continuous feedback loop mechanism and works as a moldable solution as per requirement.
There are plenty of direct benefits of using VisionERA IDP for any healthcare organization. The most common ones are mentioned below:
Healthcare has a wide list of use cases for document automation. Below, we have mentioned the IDP solutions for each of them. Check them out:
Research and development in healthcare is a continuous process. It makes up for the creation of high volumes of unstructured documents. VisionERA IDP will be able to auto-ingest digital documents and paper-based scanned documents. These documents will be converted to structured data and uploaded to the enterprise’s ERP system or any associated final database automatically.
Another facet of healthcare that generates numerous paperwork. It includes onboarding forms, existing test reports, medical conditions, etc. VisionERA IDP will auto-extract the data from these unstructured documents and upload them into the ERP system.
Patient records consist of periodic and historical test reports. It is essential to store these data as they provide references to the doctors. VisionERA IDP would allow extraction from these reports and store them in a centralized cloud database. Also, it would enable role-based access to the data that can be accessed anywhere.
Big healthcare organizations recruit a healthy lot of medical practitioners now and then. It includes doctors, nurses, and other supporting staff. Without an IDP, this would be a recurring time-consuming process. With VisionERA IDP, it is possible to compare details of each new recruitment in a jiffy without spending unnecessary time on manual verification.
Medical billing is a frequently recurring process. With VisionERA IDP, it is possible to create consolidated bills that can be sent to the customers directly. The user just needs to collect documents from both internal and external departments. Save the data into a central repository and automatically generate medical bills using IDP.
VisionERA IDP comes with natural language processing (NLP) which is capable of understanding the context of the data. With NLP, it is possible to automatically translate a doctor's diagnosis into medical coding. Later on, this data can be used for settling claims. We also have a case study around it. To have a look, click here.
VisionERA IDP enables seamless integration with multiple downstream applications. The platform can integrate easily with the existing infrastructure end-to-end. It means from ingesting the data to storing it, everything can be automated using IDP. It makes the maintenance of EMRs much more efficient and hands-free.
The Hospital Information System (HIS) comprises multiple systems incorporated together. These are healthcare systems, communication systems, financial systems, patient record management systems, medical record management systems, etc.
With VisionERA IDP, it is possible to extract data from relevant documents for all the major processes’ workflow. This data can be easily augmented to the HIS using an IDP.
Another use case that generates huge volumes of data. Clinical trials are often carried out to evaluate medical and surgical interventions. It can include procedures to understand the effects of medicine, diet regimes, wearables, and other associated treatments & medical devices. It includes studies conducted on numerous people that are recorded for inference and finding a relevant solution for ailing medical problems. With VisionERA IDP, it is possible to streamline the process of data capture from the documents generated and feed it to the central repository without any manual intervention.
The average wage of a data entry operator in 2022 is close to $20 per hour. Suppose, a data-entry operator is capable of extracting and verifying data from 25 documents in an hour. In a week with 40 hours of work, the data-entry operator will be able to finish 1000 documents. Also, the total cost of processing these documents will be $800.
Before diving into the processing capabilities of an IDP, it is important to keep certain prerequisites in mind:
The number of documents that an IDP can process within an hour will depend upon certain factors: hardware, number of data points for extraction, number of iterations IDP has already gone through, etc.
IDP is a scalable solution. Depending upon the use case at hand, it can process documents from 1000 to 10,000 in an hour. It is because the technology responds differently to different use cases. Although, it is a lot faster than manual processing. If the use case allows 1000 documents to process within an hour, the platform would save 39 hrs in processing and $780 in cost.
Healthcare is always on the cusp of needing more time for patients. Reducing the time for back-office operations supported by the frontline workers will enable better care for the patients. It takes out redundant factors from the existing infrastructure and will make up for a solid workflow structure. With VisionERA IDP, document automation can be realized in different facets and use cases within healthcare. It will enable the employees to focus more time on patients rather than on manual documentation processes.
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