MAY 13, 2022 (NewsRx) — By a
No assignee for this patent application has been named.
Journalists obtained the following quote from the background information provided by the inventors: “ANNA™ was invented to reduce the existing mismatch between consumer demand for healthcare services and available provider capacity. Building facilities for access and training providers is timely and costly for our communities, our companies and our taxpayers. Currently, the capacity for care delivery services exists, with consumers unable to easily obtain timely access, based on their personal care preferences. ANNA™ an artificial intelligence solution that cognitively processes healthcare consumer demand based on an underlying link of providers. »
In addition to obtaining general information about this patent application, the editors of NewsRx have also obtained the inventor’s summary information for this patent application: “ANNA™ (All Now Network Access): ANNA™ is a data and a multi-faceted cloud schema that uses artificial intelligence processing protocols to reinvent healthcare provider workflows to improve consumer access to available healthcare services, including , among others, the availability of diagnostics, procedures, specialist care, and care management resources through interoperability computing methods.The foundation of ANNA™ is a proprietary capability transactional standard that connects consumer demand to the capacity of the supplier.Through computer methods, the data of access, quality and cost, among others, are presented to the consumers, in order to determine infer preferences for access to care options as best as possible. An artificial intelligence platform based on machine learning, sensing and adapting to disparate electronic healthcare operating systems, ANNA™ creates an open-access, one-stop virtual marketplace for the benefit of individuals, suppliers and payers. ANNA™ operates on the principles of an open and transparent marketplace that strives to reduce costs while improving health outcomes by maximizing points of access to care, resulting in satisfied key stakeholders.
The claims provided by the inventors are:
“1. A computer-implemented method for linking a healthcare consumer’s access request to the provider’s available healthcare capacity, the method comprising: identifying and registering the consumer, providing consumer preference for access to type of care, using analytics from an artificial intelligence-based treatment model, wherein the plurality of data sources include capacity data providers, cost data, quality data and application programming interface data from payers and providers and the assignment of consumer access options.
“2. A method according to claim 1, wherein, through a virtual encounter, identifying and receiving a customer identification and registration component comprising: performing a multi-factor authentication on a virtual patient encounter platform, based on cloud-based software services for automated processing of customer information, including networking services, storage services, virtualization services, computer system services operations and execution services.
A method according to claim 1, wherein the registration component includes a plurality of fields including: queue name, name, schedule type, status, age, and web application and /or a kiosk record, and/or the transmission of a scanned image of federal or state ID documents, primary, secondary and prescription insurance data.
“4. A method according to claim 1, for the resulting consumer preference assessment data comprising: extracting, researching and analyzing consumer data from an artificial intelligence-based processing model , wherein the plurality of data sources include unique data units ordered by consumers and ranked parameters for those units, including but not limited to preferences for installation, provider, network, place and time.
“5. A computer-implemented method for receiving and transmitting provider access capability data from a cloud-based server processing framework comprising: using multiple processors, communicating with the vendor transceiver, the use of an interoperable transactional capability standard, the binding of vendor capability data to an artificial intelligence-based processing model.
“6. The method of claim 5, wherein a transactional capability standard comprising: extracting capability from providers’ e-health operating systems from a proprietary standard developed specifically for e-exchange capacity data, from a plurality of data sources including inpatient and outpatient facility capacity data, for types of diagnoses, procedures and provider visits, including specialty care.
A computer-implemented method according to claim 5, displaying organized capability 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 communicatively coupled to the database, a component user profile configured to assist a consumer and configured to develop organized capacity options including at least one option based on the user’s access preference profile.
“8. A method of automated healthcare application programming (API) data information processing, comprising: creating on a plurality of cloud server network devices on a cloud communication network, a plurality of cloud-based hardware resources including API data processing from, Patient Access, Provider Directory, Payor-to-Payor Data APIs, analytics results for payer claims and clinical data, and electronic health record data providers, including case management and prior authorization criteria and data.
“9. A method according to claim 1, a computer-implemented method for displaying health care costs, comprising: providing a processor configured to implement a health care cost estimator, said estimator creating a cost allocation for use in connection with a healthcare event, said processor being configured to present the user with a plurality of cost-valued capacity access options.
10. The method of claim 9, wherein said component cost breakdowns include: evaluating pricing based on availability-based service scheduling in providers’ scheduling software.
The method of claim 9, wherein said availability is adjustable comprising: removing and/or adding criteria as appropriate to increase utilization of provider capacity resources.
“12. The method of claim 11, further comprising: using artificial intelligence neural network nodes that allow the provider to develop and select criteria from a plurality of data including, but not the time , location, cost and price in order to optimize the use 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 provider to improve decision making from data and model outputs artificial intelligence-based processing.
“14. The method of claim 13, further comprising: providing availability of data from multiple nodes that filter provider decisions such that a user can choose options for pricing with a plurality of option criteria including, but not limited to, a fixed buy-it-now bid, reverse bid, reserve price with additional bid minimums, which adhere to a vendor-configured logic within an area of pricing and a node setting.
“15. The method of claim 13, further comprising: using said nodes and subsequently establishing a larger domain environment to facilitate onboarding and communication with the vendor community and provide access to the consumer.
“16. The method of claim 1, further comprising: integrating quality data and associated rosters and health management best practice tools, including automated tools, to assist a client and a supplier to manage and monitor a procedure or service.
“17. The method of claim 1, further comprising: integrating provider domains in combination with proprietary capabilities that can intuitively increase usage by engaging consumers through an information hub that facilitates enhancement of online consumer monitoring of critical, non-static costs, price, quality, access availability criteria in real time.
“18. The method of claim 8, wherein said pricing model includes: estimating and extrapolating health care provider and payer dependency data, including but not limited to criteria evidence-based authorization, referral-based pricing, health insurance benefits, as well as patient and consumer experience information from vendors and industry-related sources.
“19. The method of claim 8, wherein said computer-implemented method for displaying health care quality indicators includes providing a processor configured for analysis from a treatment model based on artificial intelligence on healthcare quality data from governmental, non-profit and for-profit quality measurement organizations.
“20. The method of claim 8, further comprising: monitoring the cost of an interaction, as well as cost and pricing elements thereof; and providing notification to the user (i.e. i.e. provider, payer, or consumer) when something in the node or decision domain occurs above a predetermined threshold, or at a certain level or range.
For more information, see this patent application: Slattery,
(Our reports provide factual information on research and discoveries around the world.)