Intelligent Automation in HealthTech 
Improve Operational Efficiency and Reduce Friction between Disparate Systems  

• Automate private patient intake
• Interface with legacy technology
• Eliminate bias and disparity in patient care
• Automate patient scheduling and notifications
• Aggregate data from wearables into mainstream patient data
• Improve the administrative side of being a provider such as optimizing supply chain and procurement costs
• Convert unstructured data such as notes, films, photos, etc. to data that can be integrated with patient data

• Process medical and pharmacy claims
• Optimize revenue cycles for providers and payers with reduced declines
• Process unstructured data such as faxes and handwritten authorization notes to ensure a seamless flow of data across providers and payers
• Automate common tasks such as eligibility verification, claim status follow-up, test scheduling, and payment authorization by collating data from disparate systems

80% of existing healthcare data remains unstructured, rendering it mostly useless across the healthcare continuum. Intelligent Automation leverages AI to transform data, introducing it into the business operations for valuable insight

Much like prior authorizations this is an intersection point between payers and providers.
While the processes are different between payers and providers, intelligent automation will speed up the end-to-end process, improve productivity, yield higher quality, and ensure compliance to regulations