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Business Challenges Drive Demand

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
Solution Outcomes

benefitsAutomatically group unverified, similar documents and auto-create templates to reduce setup time

benefitsContinuously improve straight-through processing (STP) with closed-loop data and communications to drive down validation costs

benefitsReduce new bot development time with a responsive user interface that is optimal for business users

Solution Track

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

starterStarter  As a solution provider, you have a fundamental knowledge of technologies but little to no IoT and Analytics practice.

starterTransformer As a solution provider, you have an Analytics and IoT practice and are looking to scale and accelerate this segment of your business.

acceleratorAccelerator 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.

Solution Resources

Interested in learning more about this solution?

For solutions available in Europe, visit
  Tech Data Europe

Robotic Process Automation

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. 

Solution Track
healthcare, robotic process automation, computer vision, natural language processing, machine learning, workflow automation, back office processing, claims administration
Solution Inquiry

Solution Rating


Technical Expertise
As a technical skills prerequisite, this rating is based on the level of integration required for implementation as well as the level of customization and configuration specific to the IoT and Analytics technology deployment.

Industry Acumen
For industry acumen, our solution consultants identify solutions that are more suited for particular segments and/or niche markets versus solutions that are more versatile and can be applied across multiple industries. This rating helps solution providers identify their options for expanding their market share, by honing their industry expertise or creating parallel sales across multiple industries.

Market Size
Market size indicates the relevant number of end-client targets for the particular solution. A niche market has a low rating but this only reflects the number of targets, not the potential revenue stream of market. A high rating indicates a larger market pool.

Cloud Consumption
Some solutions and use cases trigger more cloud consumption than other solutions. The level of data loads, storage needs, and network configurations affect cloud consumption.

Disruption Level
This rating is to provide a sense of expectation for solution deployment. Some solutions may require training and process adoption where other solutions effective “out of the box” on day one.