Patent Application Titled “ANNA (All Now Network Access)” Published Online (USPTO 20220130526): Patent Application
Insurance Daily News
2022 MAY 13 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News -- According to news reporting originating from Washington, D.C., by NewsRx journalists, a patent application by the inventor Slattery, Robert Shaun (Roland, AR, US), filed on October 27, 2020, was made available online on April 28, 2022.
No assignee for this patent application has been made.
Reporters obtained the following quote from the background information supplied by the inventors: “ANNA™ was invented to reduce the existing mismatch of consumer demand for healthcare services versus the capacity available from suppliers. Building facility for access and training providers is timely and expensive for our communities, societies, and taxpayers. Currently, capacity for care delivery services exists, with consumers unable to easily achieve timely access, based on their personal preferences for care. ANNA™ an artificial intelligence solution that cognitively processes healthcare consumer demand based on an underlying link of suppliers.”
In addition to obtaining background information on this patent application, NewsRx editors also obtained the inventor’s summary information for this patent application: “ANNA™ (All Now Network Access): ANNA™ is a multifaceted cloud-based database and schema that utilizes artificial intelligence processing protocols to reimagine healthcare supplier workflows to improve consumer access to available healthcare services, including, amongst other things, availability of diagnostics, procedures, specialty care, and care management resources through interoperability computer-based methods. Fundamental to ANNA™ is a proprietary capacity transactional standard that links consumer demand to supplier’s capacity. Through computer methods, access, quality and cost data, amongst other things, are presented to consumers, to best determine preferences for access options of care. The artificial intelligence platform through machine learning, sensing and adapting with disparate electronic operating systems within the healthcare domain, ANNA™ creates virtual one stop open access marketplace benefiting individuals, suppliers and payers. ANNA™ functions on the principles of an open and transparent market that strives to lower costs while improving health outcomes by maximizing access points to care resulting in key stakeholder satisfaction.”
The claims supplied by the inventors are:
“1. A computer implemented method, for linking healthcare consumer’s access demand to available provider healthcare capacity, the method comprising: identifying and registering consumer, delivering consumer preference for care type access, utilizing analytics from an artificial intelligence-based processing model, wherein the plurality of data sources include capacity data from suppliers, cost data, quality data and application programming interface data from payors and providers and assigning options of access to consumer.
“2. A method of claim 1, wherein though a virtual encounter, identifying and receiving customer identification and registration component comprising: executing a multifactor authentication process on virtual patient encounter platform, based in cloud software services for automated processing of customer information including networking services, storage services, virtualization services, operating system services and run-time services.
“3. The method of claim 1, wherein the registration component includes a plurality of fields comprising: a queue name, name, schedule type, status, age and a web application and/or kiosk check-in, and/or transmittal of scanned image of federal or state ID, primary, secondary and prescription insurance data.
“4. A method of claim 1, for resulting consumer preference evaluation data comprising: extracting, searching and analyzing, consumer data from an artificial intelligence-based processing model, wherein the plurality of data sources includes unique consumer driven data units and ranked settings for such units, including but not limited to facility, provider, network, location and time preferences.
“5. A computer implemented method for receiving and transmitting supplier’s access capacity data from a cloud-based server processing structure comprising: utilizing multiple processors, communicating with supplier’s transceiver, utilizing an interoperable transactional capacity standard, linking supplier’s capacity data to an artificial intelligence-based processing model.
“6. A method of claim 5, wherein a transactional capacity standard comprising: extracting capacity from provider electronic health operating systems, from a proprietary standard developed for specifically for electronically exchanging capacity data, from a plurality of data sources including inpatient and outpatient facilities’ capacity data, for diagnostics, procedural and provider visits types including specialty care.
“7. A computer implemented method of claim 5 displaying curated capacity options for consumers, the system comprising: a database storing consumer identity data, preference data, profile data as non-transferable computer readable storage media, a controller communicably coupled to the database, a user profile component configured for assisting a consumer and configured for developing curated capacity options comprising at least one option based on the user’s access preference profile.
“8. A method for automated processing of healthcare application programming data (API) information, comprising: creating on a plurality of cloud server network devices on a cloud communications network, a plurality cloud hardware resources comprising in processing of API data from, Patient Access, Provider Directory, Payor-to Payor Data APIs, analytics outputs for payor claims and clinical data, as well as provider electric health records data, including case management and prior authorization criteria and data.
“9. A method for claim 1, a computer implemented method for displaying healthcare costs, comprising: providing a processor configured for implementing a healthcare cost estimator, said estimator creating a cost breakdown for use in connection with a healthcare event; said processor configured for presenting a plurality capacity access options to user valued for cost.
“10. The method of claim 9, wherein said component cost breakdowns comprising: evaluating pricing based on the scheduling of services according to the availability within the suppliers scheduling software.
“11. The method of claim 9, wherein said availability is adjustable comprising: removing and/or adding criteria as applicable to increase utilization of supplier’s capacity resources.
“12. The method of claim 11, further comprising: using artificial intelligence neural network nodes that allow the supplier to develop and select criteria from a plurality of data including but not to time, place, cost and price in order to optimize utilization of resources thereby increasing capacity.
“13. The method of claim 11, further comprising; using said neural network nodes to establish an algorithmic process and machine learning for the supplier to enhance decision making from data and outputs from an artificial intelligence-based processing model.
“14. The method of claim 13, further comprising: providing availability of a data from numerous nodes that filter supplier decisions in a manner that a user can choose options to set a price with a plurality of option criteria including but not limited to a buy now fixed bid, reverse bid, reserve price with incremental bid minimums, that adhere to a supplier configured logic within a pricing domain and node setting.
“15. The method of claim 13, further comprising: using said nodes and subsequent establishing a broader domain environment to facilitate integration and communication with the supplier community and providing access to the consumer.
“16. The method of claim 1, further comprising: integrating quality data and service charts and related health management best-practice tools, including automated tools, to help a customer and supplier in managing and tracking a procedure or service.
“17. The method of claim 1, further comprising: integrating supplier domains in combination of proprietary capacity that can intuitively increase utilization by engaging consumers via an information hub that facilitates improving consumer online monitoring capabilities of critical, non-static cost, pricing, quality, access availability criteria in real-time.
“18. The method of claim 8, wherein said pricing model comprising: estimating and extrapolating dependencies data from healthcare suppliers and payors, including and but not limited to evidence-based authorization criteria, reference-based pricing, health insurance benefits, as well as patient and consumer experience information from supplier and industry related sources.
“19. A method for claim 8, wherein said computer implemented method for displaying healthcare quality indicators, comprising providing a processor configured for analytics from an artificial intelligence-based processing model on healthcare quality data from governmental, non-profit and for-profit quality measurement organizations.
“20. The method of claim 8, further compromising: monitoring the cost of an interaction, as well as cost and pricing elements therein; and providing a notification to the user (i.e., supplier, payor, or consumer) when an element in the decision node or domain occurs relative to a predetermined threshold, or certain level or range.”