|Unstructured Data:||Extracting data from documents and unstructured content (“dark data”)|
|Back Office Processing:||Record-keeping mistakes or delays result in negative subscriber/patient experience|
|Automation:||Manually completing various healthcare tasks, including payment posting, claims administration and benefits clarification|
Automatically group unverified, similar documents and auto-create templates to reduce setup time
Continuously improve straight-through processing (STP) with closed-loop data and communications to drive down validation costs
Reduce new bot development time with a responsive user interface that is optimal for business users
To help partners align their IoT and Analytics capabalities with the appropriate solution path for success, Tech Data uses the following guide:
=solution track for this solution
Starter As a solution provider, you have a fundamental knowledge of technologies but little to no IoT and Analytics practice.
Transformer As a solution provider, you have an Analytics and IoT practice and are looking to scale and accelerate this segment of your business.
Accelerator As a solution provider, you have repeatable Analytics and IoT solutions and are looking for ways to refine your business model to capture more mind share.
Healthcare payers and providers encounter many challenges while manually processing health care claims. Correlating transactions with associated payer and patient data becomes unmanageable for billing departments, especially when handling semi-structured/unstructured data. With Robotic Process Automation, users can automate unstructured data processing from end-to-end using the latest AI technologies like computer vision, natural language processing (NLP), fuzzy logic and machine learning (ML) without the help of data scientists or highly trained experts.