Geographically distributed dental care management system for treatment coordination, transparent aligner fabrication, and specialist collaboration

Abstract

A system and method for managing dental treatment across geographically distributed clinics utilize a digital imaging module to capture intra-oral digital scans. A treatment planning module formulates a dental treatment plan validated by a remote orthodontic specialist. A patient management module orchestrates a competitive tender process to select an executing general dentist from a plurality of candidates based on weighted criteria comprising cost, proximity, and performance ratings. A manufacturing module interfaces with distributed laboratories for aligner fabrication. In some embodiments, the system incorporates a blockchain network with smart contracts for milestone-based financial execution and an artificial intelligence module for predictive treatment optimization. A real-time interactive aligner device comprising electromechanical micro-actuators enables remote geometric adjustments of the aligner in response to specialist instructions. A communication interface facilitates continuous feedback and oversight between patients, specialists, and selected providers, ensuring unified clinical quality and operational efficiency across the distributed network.

Description

GEOGRAPHICALLY DISTRIBUTED DENTAL CARE MANAGEMENT SYSTEM FOR TREATMENT COORDINATION, TRANSPARENT ALIGNER FABRICATION, AND SPECIALIST COLLABORATIONFIELD OF THE INVENTION

[0001] The technology generally pertains to geographically distributed dental care management system for treatment coordination, transparent aligner fabrication, and collaboration with specialists with extensive experience in the field of orthodontics and in particular in that of transparent aligners. It also pertains to dental care management systems, focusing on the coordination and implementation of dental treatment plans involving transparent aligners across geographically distributed clinics. It integrates digital imaging, treatment planning, tracking, monitoring, and service provider selection to facilitate remote patient care.BACKGROUND OF THE INVENTION

[0002] Coordinating multi-disciplinary dental and orthodontic services across multiple geographical locations, particularly for transparent aligner treatments, presents significant logistical and clinical challenges. Existing systems often fail to provide a comprehensive framework that integrates remote specialist oversight with local clinical execution. Furthermore, current distributed models typically lack integrated mechanisms for the efficient, criteria-based selection of general dentists to execute specialist-approved plans. Consequently, there is a need for a geographically distributed dental care management system that facilitates real-time specialist-led coordination, transparent aligner fabrication, and a competitive selection process for local service providers to ensure optimized patient outcomes and operational efficiency.SUMMARY OF THE INVENTION

[0003] The present disclosure provides a system and method for managing dental treatment across geographically distributed clinics. The system integrates a digital imaging module for intra-oral digital scans (including 3D representations, CBCT, and panoramic X-rays) with a treatment planning module where an orthodontic specialist, operating from a remote location, approves a plan. A manufacturing module interfaces with distributed laboratories to fabricate transparent aligners. Crucially, a patient management module coordinates execution by orchestrating acompetitive tender process to select a general dentist, distinct from the specialist, based on cost, proximity, and performance ratings. A communication interface facilitates ongoing feedback and oversight between the patient, the specialist, and the selected general dentist.

[0004] In a specific technical embodiment, the system utilizes a real-time interactive aligner device comprising electromechanical micro-actuators embedded within the device. These micro-actuators receive remote instructions from the orthodontic specialist to selectively exert mechanical forces, dynamically altering the geometry of tooth-receiving cavities and adjusting aligner configuration in real-time based on continuous monitoring.

[0005] The system further incorporates a secure, blockchain-based digital medical card for maintaining immutable records of treatment plans, provider transactions, and diagnostic data. A mobile application provides patient access to treatment options (categorized by budget and duration), medication reminders, and a feedback loop that informs future tender processes. Advanced coordination is supported by an Al and machine learning module configured to optimize provider selection, predict treatment success, and provide personalized modifications. Additionally, a recommendation and alert module monitors progress to identify and address missed treatment recommendations automatically.

[0006] In another aspect, a comprehensive hierarchical management structure is provided, comprising a head management system overseeing national-level public healthcare providers, regional clinics for underserved settlements, satellite clinics, and research and development divisions. This structure ensures operational consistency and quality through a dedicated communication and coordination interface and integrated feedback mechanisms across all operational segments.BRIEF DESCRIPTION OF THE DRAWINGS

[0007] Figure 1 is a block diagram illustrating the network architecture of the geographically distributed dental care management system, including the cloud management hub and various distributed nodes, in accordance with an embodiment of the present disclosure.

[0008] Figure 2 is a data-flow diagram illustrating the blockchain-based smart contract ledger and the trustless financial transaction process based on clinical milestones, in accordance with an embodiment of the present disclosure.

[0009] Figure 3 is a flowchart illustrating the logic of the tender management module for the competitive selection and orchestration of general dentists, in accordance with an embodiment of the present disclosure.

[0010] Figure 4 is a block diagram illustrating the hierarchical management structure, including the head and sub-head management systems across diverse clinical segments, in accordance with an embodiment of the present disclosure.

[0011] Figure 5 is a schematic diagram illustrating the artificial intelligence and machine learning optimization loop for predictive analytics and treatment modification, in accordance with an embodiment of the present disclosure.

[0012] Figure 6 is a schematic diagram illustrating the closed-loop hardware control system for the interactive aligner device utilizing electromechanical micro-actuators, in accordance with an embodiment of the present disclosure.DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0013] In one aspect of the invention, the disclosed technology pertains to a method for managing geographically distributed clinics for dental care. This method integrates various stages of dental treatment involving general dentists and orthodontic specialists operating from different locations. It employs the capture of intra-oral digital images, followed by a collaborative treatment plan development approved by an orthodontic specialist, distinct from the general dentist. Additionally, the method includes the assembly and deployment of transparent aligners catering to patientspecific treatment plans, alongside an organized selection of general dental practitioners via a tender process, facilitating patient-centered care delivery.

[0014] One object of this technology is to enhance efficiency and accessibility in dental care services by leveraging a distributed network of professionals and facilities. It emphasizes the coordination of patient interaction, including convenient data capture and the use of digital platforms to store and exchange treatment-related information, thus optimizing resources while maintaining continuity in care management across varying locations. This facilitates a seamless integration of dental solutions, increasing patient convenience and the quality of care delivered.

[0015] The system and method described herein are applicable to a wide range of patient populations, including individuals insured by public healthcare providers or organizations, those covered by private insurance companies, and economically established populations. The flexibility of thesystem allows it to accommodate various financial structures and insurance models, ensuring that patients from diverse socioeconomic backgrounds can access and benefit from tailored dental care treatment plans. This inclusive approach enables the provision of cost-effective dental care solutions, while also addressing the needs of individuals with more comprehensive insurance coverage or higher economic standing, facilitating equitable access to advanced dental treatments.

[0016] In an embodiment, the system for managing a geographically distributed clinic incorporates a variety of modules, including the patient management and communication modules that permit patients to interact with their treatment itineraries and provide feedback remotely via a mobile application. This application is configured to allow patients access to their digital health records and treatment plans, enabling them to select or approve service providers and align treatment actions through secure networks, thereby enhancing patient engagement and satisfaction.

[0017] Yet another object is the establishment of a secure and efficient patient management system that employs a tender management module, enabling the strategic selection of service providers based on criteria such as location and patient satisfaction metrics. This system not only facilitates the selection of competent providers but also ensures that logistical and economic factors are systematically addressed, thereby streamlining operational processes within the dental care domain.

[0018] In yet another embodiment, the technology involves a patient management system utilizing blockchain applications for secure handling and sharing of dental records among authorized entities within the network. Incorporating smart contracts configured to automate milestonespecific operations, this approach guarantees adherence to treatment schedules and billing operations, while concurrently offering analytics for informed decision-making. This fosters a transparent and reliable ecosystem for both patients and dental professionals alike, reaffirming data integrity across distributed practice locations.DEFINITIONS

[0019] The following terms are used herein to describe the system and method:

[0020] The term "tender process" refers to a competitive evaluation and selection method for dental service providers, wherein a plurality of potential general dentists are ranked and selected based on predetermined criteria comprising cost, availability, geographical proximity, and historical performance ratings.

[0021] The term "smart contract" or "smart contract module" refers to an automated, blockchain-based protocol configured to execute transactions and business logic - such as provider payments upon milestone completion - without intermediary involvement.

[0022] The term "experienced orthodontist" refers to a dental professional possessing clinical expertise in complex malocclusions and advanced aligner systems, distinguished from a general specialist by specialized training or a threshold of clinical practice hours in specific orthodontic modalities.

[0023] The term "secure digital medical card" refers to an electronic storage medium for a patient’s comprehensive dental records, including intra-oral scans and validated treatment plans, configured for secure, immutable access and sharing within the geographically distributed network.

[0024] The term "patient management module" refers to an integrated software component responsible for orchestrating clinic operations, including the execution of the tender process, patient interaction, and the coordination of clinical workflows between remote specialists and local providers.

[0025] Referring to elements disclosed in the invention, the identified embodiment provides inter alia a method and system for managing a geographically distributed clinic for dental care, comprising preparation, digital imaging, treatment planning, manufacturing, execution, and follow-up components.

[0026] Preparation and Digital Imaging:

[0027] The method involves preparing the patient's oral cavity using standard dental practices by a general dentist. An intraoral scanning device is employed to capture a digital image of the patient’s oral cavity, facilitating digital representation. These images can be obtained at locations convenient for the patient, emphasizing accessibility and patient-centric care.

[0028] Treatment Planning:

[0029] Following the acquisition of digital representations, the images are transmitted to a treatment plan computing system, enabling the formulation of a detailed treatment plan). The treatment plan is collaboratively developed with orthodontic specialists and involves approval processes where the treatment proposed by the general dentist is validated by an orthodontic specialist, as facilitated by a treatment plan portal. This ensures expert oversight while maintaining a distributed workflow.

[0030] Manufacturing of Dental Aligners:

[0031] The manufacturing module is tasked with assembling transparent irises or aligners. This process is outsourced to specialized labs which may be located domestically or internationally, ensuring adherence to treatment specifications provided in the treatment plan. The selection of manufacturing laboratories is based on factors including production capacity, quality of work, and cost-effectiveness. Technical characteristics of the transparent aligners, including the ranges of values, may be as follows:

[0032] The transparent aligners are fabricated from biocompatible, medical-grade thermoplastic resins, such as polyurethane or polyethylene terephthalate glycol (PETG), selected for durability and resistance to oral temperature variations. The aligners exhibit a thickness ranging from approximately 0.5 mm to 1.0 mm, which may be selectively varied across the appliance (e.g., increased thickness at pressure points such as molars) to optimize force application. The resin material is further characterized by a transparency level of 90-95% and a density ranging from 1.1 to 1.3 g / cm3, providing a calibrated balance between the flexibility required for gradual tooth movement and the rigidity necessary for structural integrity and pressure retention throughout each treatment stage.

[0033] Execution and Tender Process:

[0034] Execution of the treatment plan is carried out by a general dentist selected through a tender process managed by the system's tender management module. This selection process evaluates service providers on criteria such as experience, patient satisfaction ratings, availability, cost, and proximity.

[0035] Follow-up and Confirmation:

[0036] Upon completion of the treatment plan, the orthodontic specialist performs follow-up activities, verifying the outcome of the treatment and ensuring adherence to the approved plan. Feedback mechanisms allow continuous quality assurance and adjustments to ongoing care if necessary.

[0037] Patient Management System:

[0038] A patient management module orchestrates various elements of the clinic operation across disparate locations. This module includes a digital medical card module which securely stores patient records, including the intraoral scans and treatment plans, facilitating authorized access and sharing. Simultaneously, a mobile application provides patients interactions with their treatment plans, updates, and notifications, while allowing feedback and approval functionalities.

[0039] Blockchain Integration:

[0040] In additional embodiments, a blockchain-based system enhances the management of dental care records and transactions. This system ensures data immutability and security through consensus mechanisms, enhances patient data access, and automates routine transactions via smart contracts. Data analytics modules further utilize stored data to generate insights and improve care delivery.

[0041] The embodiments enable seamless delivery of dental care with integrated technologies, prioritizing patient convenience, efficient provider selection, precise manufacturing, and robust follow-up, thereby improving access to orthodontic care on a global scale.

[0042] The system architecture employs a hierarchical management framework to ensure operational consistency across the geographically distributed network. A Head Management System provides national or international oversight through a centralized data repository to maintain unified treatment protocols and compliance. Subordinate Sub-Head Management Systems coordinate various operational segments, including: (i) dental clinics within national public healthcare organizations; (ii) regional clinics serving residential settlements lacking established services; and (iii) satellite or peripheral clinics utilizing teledentistry or mobile dental units. The framework further incorporates a service article provision module that collaborates with strategic partners to distribute dental consumables and equipment; in one embodiment, this module integrates with dental insurance systems to provide article discounts in exchange for insurance premium payments. This architecture also supports a Research and Development department for dental innovations, specialized clinical divisions (e.g., pediatric, geriatric), and a cloud-based Communication and Coordination Interface for real-time data exchange. Integrated Feedback and Reporting Mechanisms coupled with Data Analytics tools monitor patient outcomes and provider performance, enabling real-time adjustments and optimized resource allocation throughout the network.

[0043] Hence, several aspects distinguish the current technology from prior art, which detail systems for digital dental care that include intraoral scanning and aligner fabrication but do not achieve the level of integration or system-wide functionality presented in the current claims. The system provides a comprehensive, geographically distributed dental care network that integrates several distinct modules and functionalities, such as digital imaging, treatment plan formulation and approval, a tender process for provider selection, and an extensive patient management system.This comprehensive integration of these features into a single, cohesive system is not disclosed in prior art, which typically lacks either the breadth or the interconnectivity of this inventive system. The technology also advances the state of dental care management by providing a system that extends beyond simply digitizing existing workflows. By incorporating a multi-stage process involving general dentists, orthodontic specialists, and manufacturing laboratories operating across various locations, it effectively overcomes limitations seen in previous methodologies. Notably, the use of a blockchain-based structure for record-keeping and transaction management adds an inventive layer of secure, immutable storage, enhancing transparency and reliability. The smart contract module for automating provider payments based on predefined milestones introduces a novel approach to coordinating care within a geographically distributed network.

[0044] Overall, the current technology presents a technological advancement that collectively offers a seamless, efficient, and patient-centric approach to dental care management through the inventive integration of diverse functional modules and secure digital technologies, establishing patentable novelty and inventive step within the field.

[0045] In another exemplary embodiment, the system provides a method for optimizing the implementation and execution of dental treatment plans across the geographically distributed network of clinics and service providers. This method utilizes an integrated optimizer module to process a multi-variable dataset comprising clinical, geographical, and economic parameters to harmonize the interests of patients and healthcare entities. By orchestrating a synchronized data flow between the digital imaging module, the treatment planning computing system, and the tender management module, the method ensures high-standard precision in aligner fabrication and clinical execution. The following steps delineate a systematic workflow for streamlining dental care management, merging logistical efficiency with predictive clinical analytics to optimize treatment outcomes:

[0046] Step a: Obtaining Digital Images

[0047] Initially, an intraoral scanning device is being deployed to capture detailed digital images of a patient’s oral cavity. The digital images are being acquired at a location convenient for the patient, such as a local dental clinic.

[0048] Step b: Central System Processing

[0049] Subsequent to image acquisition, these digital images are being uploaded to a central processing system integrated with the treatment planning computing system. The central system is utilizing advanced algorithms to process the oral cavity representations for treatment planning.

[0050] Step c: Cost Analysis

[0051] An analytics module within the system is assessing the treatment plan costs, ensuring alignment with predetermined budget constraints. It is leveraging historical data to evaluate material expenses and select cost-effective options that do not compromise treatment quality.

[0052] Step d: Geographical Evaluation

[0053] The method is including the evaluation of geolocation data to choose optimal dental clinics and manufacturing facilities. This selection is aiming to minimize travel time and expenses for patients and service providers, contributing to logistical efficiency within the network.

[0054] Step e: Aligner Specification Adjustment

[0055] Aligner specifications are being adjusted through the integration of patient-specific data with historical treatment metrics. This step is employing predictive modeling to enhance precision in aligner fitting and design before manufacturing.

[0056] Step f: Communication and Notifications

[0057] Adjustments are being communicated to the manufacturing laboratory computing device and the responsible general dentist via the patient management module, ensuring all relevant parties are informed of specification changes.

[0058] Step g: Tender Process Execution

[0059] A tender management module is facilitating a competitive process for selecting a qualified general dentist, prioritizing proximity to the patient and performance metrics, including patient satisfaction. The process is transparent and is aiming to identify the most suitable service provider.

[0060] Step h: Real-Time Monitoring and Adjustment

[0061] The treatment plan's execution is being continuously monitored, and real-time patient feedback is being solicited through a mobile application. This feedback is informing adjustments to ensure compliance with the approved plan and enhance treatment effectiveness.

[0062] The described method is leveraging an optimizer to integrate and streamline various facets of dental care management. Notably, it is merging geographic convenience, economic efficiency, andtailored patient treatment into a cohesive framework, optimizing outcomes within the distributed dental care network.

[0063] Network Architecture and Distributed Data Exchange (Figure 1)

[0064] Referring to Figure 1, the geographically distributed dental care management system is organized around a central cloud management hub 100 which orchestrates interactions across a communication network 10. The cloud management hub 100 comprises a head management system (HMS) 102 and a subordinate sub-head management system (SHMS) 104, which together maintain unified treatment protocols and centralized data storage. The system is operatively coupled to a plurality of geographically distributed nodes, including a patient node 200 featuring a mobile device and application 202, and a remote specialist node 300 where an orthodontic specialist workstation 302 facilitates the review and approval of treatment plans. Initial clinical data is captured at a local intake node 400 via an intraoral scanning device 404. Once a plan is validated, it is transmitted to a manufacturing node 500 for fabrication in a laboratory' 502. The execution of the plan is carried out at a general dentist node 600, where the selected dentist station 602 receives specifications and coordinates local clinical tasks.

[0065] The technical nature of the network architecture facilitates the decoupling of physical patient intake from specialized clinical oversight. The communication network 10 acts as a secure data- exchange backbone, employing encryption protocols to transmit high-resolution 3D volumetric data from the intraoral scanning device 404 to the cloud hub 100. This data-heavy transmission is optimized to allow the remote specialist workstation 302 to render the patient’s oral cavity in realtime, enabling a collaborative development of the treatment plan between the hub 100 and the specialist node 300. The distributed nature of the nodes ensures that the manufacturing node 500 can be selected based on logistical synergy with the selected dentist station 602, significantly reducing the carbon footprint and lead times associated with traditional orthodontic appliance delivery.

[0066] Furthermore, the integration of the patient node 200 allows for a continuous telemetry loop where the mobile application 202 serves as a bi-directional interface. The patient provides real-time feedback and compliance data, which is aggregated at the hub 100 and made accessible to both the specialist node 300 and the dentist node 600. This multi-node synchronization ensures that even though the clinical team is geographically disparate, the treatment execution is performed with thesame level of oversight as a centralized clinic. The inventive "geographic distribution" is thus not merely a matter of location, but a functional integration of specialized modules that optimize the specific clinical strengths of each node.

[0067] Blockchain-Based Validation and Smart Contract Execution (Figure 2)

[0068] The system utilizes a blockchain network 700 to ensure data integrity and automate financial workflows, as illustrated in Figure 2. Upon the attainment of a milestone achievement 702, such as the delivery of a set of aligners or the completion of a clinical phase, data is transmitted to the specialist workstation 302 for digital validation 302. This validation signal triggers a smart contract execution 706 within the blockchain network 700. The smart contract automatically updates the immutable ledger 704 and initiates an automated payment 602 to the general dentist node 600. This trustless process ensures that provider compensation is directly coupled to validated clinical outcomes without requiring manual intermediary verification.

[0069] The smart contract execution 706 incorporates predefined business logic that acts as a secure "if- this-then-that" gateway. Only upon the cryptographic receipt of the digital validation 302 from the specialist node — verifying that the clinical milestone 702 meets the requisite standards — will the financial transaction be authorized. This mechanism prevents the "unauthorized" or premature release of funds and creates a high-trust environment across the distributed network. The immutable ledger 704 serves as a permanent, audit-ready record of every clinical and financial interaction, which can be utilized by insurance providers at the hub 100 to verify claims and validate the efficacy of specific treatment protocols.

[0070] This blockchain-integrated approach is particularly novel in its ability to synchronize the financial lifecycle of a dental case with its clinical lifecycle. By utilizing a consensus mechanism within the blockchain network 700, the system ensures that patient records and diagnostic imaging stored in the secure digital medical card cannot be tampered with. This enhances patient privacy and ensures that the " Specialist Oversight" is not just, a passive recommendation but an active, digitally- enforced requirement for the progression of the treatment plan and the associated financial settlements.

[0071] Competitive Tender Orchestration and Provider Selection (Figure 3)

[0072] Figure 3 details the orchestration of the tender process via the tender management module 106.Upon receiving an approved treatment plan 802, the module 106 initiates an automated search to identify candidate dentists by proximity 804 relative to the patient node 200. The system thenretrieves performance and cost data 806 from a centralized database, including historical patient satisfaction ratings and bid amounts. A weighted scoring engine 808 processes these variables to evaluate providers based on a multi-criteria optimization algorithm. Following the selection of an optimal dentist 810, the system triggers a notification 812 to both the selected dentist and the patient via the mobile application 202, thereby facilitating a seamless transition to the treatment execution phase.

[0073] The weighted scoring engine 808 represents a core inventive feature that eliminates subjective bias in provider selection. The algorithm weights proximity 804 (to reduce patient travel time), cost (to ensure financial viability), and performance data 806 (derived from previous patient outcomes and specialist reviews) to generate a " Suitability Index." For instance, a dentist with a higher bid may still be selected as the optimal dentist 810 if their performance metrics significantly exceed those of lower-cost alternatives, or if their geographical proximity provides substantial logistical advantages. This technical "orchestration" ensures that the patient is matched with the most qualified practitioner available for their specific clinical needs.

[0074] The tender management module 106 also acts as a competitive marketplace that drives up the quality of service across the network. Because the performance metrics 806 are visible to the selection algorithm, general dentists are incentivized to maintain high clinical standards to remain competitive for future tender cycles. This creates a self-optimizing ecosystem where the " Performance Rating Criterion" directly impacts the commercial viability of the participating practitioners, ensuring that the geographically distributed clinics operate at a high-standard, unified level of clinical excellence.

[0075] Hierarchical Management and Insurance Integration (Figure 4)

[0076] As shown in Figure 4, the system is further characterized by a hierarchical management structure 100. The head management system 102 communicates through a communication interface 10 with the sub-head management system 104 to oversee a diverse array of operational segments. These segments comprise national-level public clinics 110, regional clinics 112 serving residential settlements or communal areas, and satellite or peripheral clinics 114 for underserved regions. Additionally, the hierarchy incorporates a service article provision 116 module for the distribution of dental products and consumables, integrated with insurance systems to provide article discounts. Continuous innovation is supported by a research and development 118 department andspecialized divisions 120 (eg., pediatric or geriatric dentistry), all of which operate under the unified oversight of the head management system 102 to ensure consistent quality of care.

[0077] The structural hierarchy ensures that the Dental Care Management System 100 can scale from a local clinic level to a national public healthcare infrastructure. The HMS 102 serves as the " Policy and Protocol" layer, pushing updates through the communication interface 10 to ensure that every SHMS 104 and its subordinate clinics (110, 112, 114) are operating under the latest clinical guidelines. This is particularly vital for regional clinics 112, which may lack permanent specialized staff but are able to provide high-level care through the teledentistry and remote oversight capabilities of the broader hierarchical network.

[0078] The service article provision 116 module introduces a novel economic-clinical link. By integrating with dental insurance premium status, the system automates the distribution of " Service Articles" (such as hygiene kits, aligner cases, or maintenance tools) at a discounted rate. This incentivizes patient compliance and maintains a steady supply of medical-grade consumables to the patient. The R& D department 118 leverages data from across this entire hierarchy to innovate new treatments, such as advanced whitening or aesthetic lamination, which are then distributed back through the specialized divisions 120 to ensure the network remains at the cutting edge of dental technology.

[0079] In another embodiment, in the hierarchical structure of the comprehensive dental care management system, at the top level, the Head Management System oversees and coordinates the entire network, ensuring consistency, quality, and operational efficiency across all regions. Below this, the Sub-Head Management System, which is subdivided into multiple operational segments: National -Level Public Healthcare Provider or Organization Dental Clinics, Regional -Level Dental Clinics, Satellite or Peripheral Dental Clinics, Service Article Provision, Research and Development for dental treatments, and Additional Departments and Divisions. Each segment is responsible for specific operations within its jurisdiction, such as managing dental clinics, collaborating with external partners, providing dental products and services, and driving research and development in dental technologies. A Communication and Coordination Interface connects the Head Management System and the Sub-Head Management System, enabling real-time communication and ensuring operational adjustments to maintain consistency and quality. The architecture may also includes a Feedback and Reporting Mechanism integrated into each segment, which continuously monitors patient outcomes and service quality, providing valuable data for theHead Management System to optimize performance across the entire network. This architecture reflects a structured and dynamic system that ensures efficient and high-quality dental care across geographically distributed clinics and service providers.

[0080] Artificial Intelligence and Predictive Optimization (Figure 5)

[0081] The intelligent optimization of the system is illustrated in the AI / ML module 900 of Figure 5. The module 900 performs continuous data ingestion of historical treatment outcomes 902, provider performance data 904, and patient feedback metrics 906. This data undergoes pre-processing 908 before being utilized by an ML training and model generation 910 engine. A predictive analytics engine 912 then generates insights to produce optimized tender criteria 914 for provider selection and personalized treatment modifications 916. This closed-loop analytics system ensures that the geographically distributed network adapts dynamically to emerging clinical patterns and patientspecific needs, maximizing treatment efficacy over time.

[0082] The technical advancement of the AI / ML module 900 lies in its transition from reactive data storage to predictive clinical intervention. The predictive analytics engine 912 analyzes the historical outcomes 902 of thousands of similar cases to forecast the likely success rate of a proposed treatment plan. If the model identifies a high probability of a complication — such as a specific tooth rotation failure — it automatically generates personalized treatment modifications 916 (e.g., adjusting the aligner sequence or force application) before the complication occurs. This "predictive healthcare" model significantly increases the overall " Success Rate" parameter of the distributed clinic network.

[0083] Moreover, the ML module 900 identifies patterns in provider performance 904. It can recognize which general dentists are most effective at executing specific types of complex orthodontic plans. The module then utilizes these insights to refine the optimized tender criteria 914, ensuring that the tender management module (106, Figure 3) prioritizes the " Best-Match" dentist for each specific patient. This creates a system that not only manages dental care but “learns" from every case to improve the precision of the provider-patient matching process and the accuracy of the aligner specifications.

[0084] Closed-Loop Control of Electromechanical Aligners (Figure 6)

[0085] Referring to Figure 6, the system provides for real-time mechanical optimization through an interactive aligner device 3. The process begins with data from the intraoral scanning device 404, which is transmitted to the specialist interface 302. Based on real-time measurements, the specialistissues an adjustment instruction 1000. This instruction is received by a wireless communication module 1002 embedded within the aligner device 3. The module 1002 controls a micro-actuator array 1004, which may comprise a plurality of electromechanical actuators configured to exert a specific mechanical force application 1006 against predefined surfaces of the patient's teeth. This results in a controlled tooth alignment change 1008. The system may then perform a feedback scan via the scanning device 404 to validate the movement and inform subsequent adjustments, ensuring the treatment remains within optimal clinical ranges.

[0086] The interactive aligner device 3 represents a significant hardware departure from passive clear aligners. The micro-actuator array 1004 is configured to dynamically alter the geometry of the tooth-receiving cavities within the aligner. This means a single aligner can potentially perform the work of multiple stages of traditional aligners by physically shifting its internal shape in response to the wireless adjustment instruction 1000. This electromechanical force application 1006 allows for “Fine-Tuning" of the tooth movement without requiring the fabrication of a new aligner, drastically increasing the agility of the treatment plan.

[0087] The technical " Closed-Loop" is completed by the feedback scan 404. If the specialist observes via the intraoral scanner that the tooth alignment change 1008 is slightly off-track, they can immediately issue a corrective command 1000. This creates a real-time clinical intervention capability that was previously impossible in aligner therapy. By embedding these electromechanical micro-actuators directly into the aligner walls, the invention achieves a level of "active" orthodontic control that combines the aesthetics of transparent aligners with the mechanical precision of active dental appliances,

[0088] EXAMPLES

[0089] Example 1: Utilizing the System for Remote Orthodontic Care Management

[0090] In one example, a patient is seeking orthodontic treatment using transparent aligners. The process initiates at a dental clinic located in Los Angeles, California, which serves as the first location. Here, a general dentist utilizes a general dentist computing device to prepare the patient's oral cavity. An intraoral scanning device, conveniently situated within the clinic, captures a digital scan of the patient's oral cavity, generating a detailed 3D model. In addition, the patient completes a questionnaire in which the alignment requirements are disclosed, such as reducing the space between the teeth, rotation, attachment, etc. This model is securely stored within a digital medicalcard module, which the patient can access through a mobile application to review the scan and treatment plan developed by a treatment planning computing system.

[0091] Specialized orthodontic input is provided remotely by an orthodontic specialist located in Denver,Colorado, acting as the second location. Using an orthodontic specialist computing device, the specialist assesses and approves the treatment plan. After approval, the plan is transmitted to an in-house 3D printing machine in said dental clinic or to a manufacturing laboratory computing device situated in Austin, Texas, designated as the third location, facilitating the prompt assembly of the custom transparent aligners according to the patient's specifications. A tender management module orchestrates a tender process to select an appropriate general dentist for treatment execution, based on criteria such as proximity to the patient, experience, and patient satisfaction ratings. The selected general dentist is subsequently based in Los Angeles, California, ensuring localized patient care. Patients receive notifications about their selected dentist and treatment progress via the mobile application throughout the treatment course.

[0092] Example 2: Patient-Centric Mobile Application and Real-Time Feedback

[0093] In another example, the focus is on the patient management system. A patient accesses their treatment plan using a dedicated mobile application, such as the myDentist App or the Dental Monitoring App, where they receive details about their dental treatment, including timelines for aligner delivery and adjustment appointments. Utilizing criteria from the tender management module, the patient can select service providers, such as general dentists, reflecting their preference based on historical satisfaction ratings and location proximity.

[0094] Moreover, the mobile application provides real-time notifications and updates regarding scheduled appointments and aligner deliveries. The patient can give real-time feedback on the treatment process, which is forwarded to the respective service providers to facilitate adjustments when necessary. This interaction promotes a patient-centric experience, driving up satisfaction through integration with the digital medical card module that securely manages the patient’s digital health records and facilitates seamless sharing with authorized providers.

[0095] Example 3: Blockchain and Smart Contract Implementation

[0096] The system utilizes a blockchain network of nodes maintaining a distributed ledger for immutable record-keeping of transactions and patient data. Smart contract modules automate business logicto execute provider payments upon achieving predefined treatment milestones (e.g., aligner fabrication or consultation completion) validated via a consensus mechanism. This ensures data integrity and reduces administrative intervention in financial operations across the geographically distributed network.

[0097] Example 4: Competitive Tender Management

[0098] The tender management module facilitates a competitive bidding mechanism to select general dentists. Upon treatment plan approval, the system automatically solicits bids from qualified practitioners in the patient’s proximity. The module utilizes an algorithm to rank offers using a weighted scoring mechanism that balances cost factors against qualitative measures, such as provider performance ratings, historical treatment success, and experience. Once a provider is selected, the patient is notified via the mobile application to initiate treatment execution.

[0099] Example 5: Integrated Management Architecture

[0100] The system is implemented as a distributed network of computing modules, comprising: (i) a patient data management module for centralized storage and retrieval of digital scans; (ii) a treatment coordination module utilizing algorithms for specialist-led plan approval; (iii) a tender management module for criteria-driven provider selection; (iv) a manufacturing integration module for precision lab communication; and (v) an analytics module leveraging machine learning to optimize treatment protocols based on historical performance. This framework enables general dentists who identify a clinical need to provide specialized orthodontic treatments under the remote oversight and validation of the orthodontic specialist.

[0101] Graphical User Interface (GUI) for the Cellular Application

[0102] A proposed cellular application GUI, referred to as " DentalCare App," is designed to enhance patient engagement and streamline interaction with treatment protocols. The interface is user- friendly and allows seamless navigation through various features related to (i) treatment plans, (ii) time tables, (iii) locations, and (iv) costs.

[0103] Home Screen: Displays an overview of the patient's current treatment status, upcoming appointments, and recent notifications related to their dental care journey. Treatment Plan Section: Accessed via a dedicated tab, this section provides a detailed view of the patient's treatment plan, including the sequence of aligner changes and specialist recommendations. Users can view andapprove adjustments as needed. Scheduler and Timeline Module: Integrates with the patient's digital calendar to display a time table of appointments, aligner delivery milestones, and followup consultations. Interactive elements allow patients to adjust or confirm appointments in realtime. Location Services: Employs geolocation to present a map indicating the locations of associated dental clinics, specialists, and laboratories. Directions and travel estimates are also provided for convenience. Financial Overview Panel: Summarizes treatment costs and payment history. This section details breakdowns of costs per treatment phase and outstanding payments. Users can manage and track payment schedules seamlessly. Feedback and Support Button: Enables patients to submit feedback regarding their experiences and access support resources. Quick links to frequently asked questions and contact forms for live support are included to enhance patient satisfaction.

[0104] The " DentalCare App," designed to be compatible with major mobile operating systems, ensures an integrative and user-centric approach to managing dental care within a geographically distributed framework.

[0105] Example 6: Optimizer in the Dental Care Operating System

[0106] The " DentOS" operating system incorporates an optimizer module designed to enhance decisionmaking within the geographically distributed dental care network. This optimizer analyzes multiple variables, including treatment costs, patient locations, suitability of dental products for the patient's condition, treatment plan budget constraints, and the alignment of healthcare providers with patient requirements.

[0107] The distributed dental care management system can optimize numerous parameters, each enhancing the system's overall efficiency and effectiveness across geographically diverse locations. These parameters include:

[0108] The system incorporates an optimization module configured to analyze and improve a plurality of operational and clinical parameters across the distributed network. These parameters comprise members of the group consisting of: treatment and manufacturing costs; resource allocation and supply chain efficiency; logistics and delivery timelines; criteria-driven provider selection (utilizing the tender process based on historical performance, geographical proximity, and patient satisfaction); data security and immutability (via blockchain); treatment speed and efficacy; compliance with healthcare regulations; and patient engagement via interactive mobile interfaces.The optimization module leverages integrated data analytics to process real-time feedback and historical outcomes, thereby ensuring optimized clinical results and operational efficiency.

[0109] By optimizing these parameters, the system enhances the effectiveness and efficiency of dental care management across a geographically distributed network.

[0110] Cost Optimization:

[0111] The optimizer utilizes historical cost data and predictive algorithms to identify cost-saving opportunities in treatment delivery. By comparing bids from various service providers through the tender management module, the optimizer ensures that each dental procedure is cost-efficient without compromising quality.

[0112] Location Suitability:

[0113] Utilizing geolocation data, the optimizer assesses the proximity of dental clinics and manufacturing laboratories (e.g., using manufacturing laboratory computing device 103) to the patient's residence. It recommends the most accessible locations to minimize travel time and enhances patient convenience, through the patient management interface.

[0114] Product-Patient Suitability:

[0115] The optimizer evaluates patient-specific criteria from intraoral scans captured by intraoral scanning device to suggest the best-suited transparent aligners. This involves analyzing the patient's dental structure and treatment objectives to ensure that the selected product meets their specific orthodontic needs effectively.

[0116] Treatment Plan Budget Management:

[0117] In collaboration with the treatment planning computing system, the optimizer reviews the treatment plan budget and dynamically adjusts allocations to stay within financial constraints, maximizing resource utilization across the network. This ensures that the treatment plan remains economically viable throughout its execution.

[0118] Provider Alignment:

[0119] The optimizer employs data on service provider performance, accessed through orthodontic specialist computing device, to align patients with suitable general dentists and orthodontic specialists. This alignment is based on mutual compatibility, considering factors such as healthcare provider expertise in similar cases, patient satisfaction records, and communication proficiency, ensuring that patients receive care tailored to their expectations and medical requirements.

[0120] In summary, the optimizer within the " DentOS" system integrates these diverse analytical functions to foster a patient-centric, cost-effective, and geographically efficient dental care network. It harmonizes multiple facets of the dental treatment process to optimize outcomes for both patients and service providers across distributed locations.

[0121] Example 7: Method of Optimizing Dental Treatment Plan Implementation

[0122] In another embodiment, the method is employing an optimizer to enhance the efficiency of dental treatment plan implementation across a network of geographically distributed clinics. This method is encompassing a sequence of detailed steps, ensuring comprehensive optimization aligned with patient convenience, cost-effectiveness, and treatment efficacy.

Claims

CLAIMS1. A system for managing dental treatment across geographically distributed clinics, comprising:a. a digital imaging module configured to obtain intra-oral digital scans of a patient's oral cavity;b. a treatment planning module that formulates a treatment plan based on the digital scans, including approval of the treatment by an orthodontic specialist operating from a remote location;c. a manufacturing module interfacing with manufacturing laboratories to fabricate transparent aligners according to the treatment plan;d. a patient management module configured to, after said approval of the treatment by the orthodontic specialist, coordinate the execution of the treatment plan by orchestrating a competitive tender process to select a general dentist, distinct from said orthodontic specialist, from a plurality of potential general dentists based on criteria including cost and performance ratings; ande. a communication interface facilitating ongoing feedback and oversight between said patient, said orthodontic specialist and said selected general dentist.

2. The system of claim 1, further comprising a treatment coordination module integrated with said patient management module and said treatment planning module, said treatment coordination module comprising:a. a data processing unit configured to integrate the three-dimensional representations from the intraoral scanning device with patient-specific dental treatment objectives;b. a communication interface configured to coordinate with orthodontic specialists and general dentists to develop a treatment plan for the patient involving the use of transparent aligners;c. a scheduling component configured to optimize a sequence of treatment steps and aligner fittings consistent with the patient's dental treatment plan to be executed by the selected general dentist; andd. a feedback mechanism configured to receive progression data from the patient or the selected general dentist and provide it to the orthodontic specialist to assess theprogression of the dental treatment plan and recommend adjustments to aligner specifications as necessary to achieve the desired dental outcomes.

3. The system of claim 1, wherein the digital imaging module further comprises a real-time interactive aligner device configured to:a. produce intra-oral digital scans of a patient's oral cavity;b. transmit said intra-oral digital scans to a data processing unit;c. receive external instructions from said orthodontic specialist based on said intra-oral digital scans; andd. adjust a configuration of said aligner according to said received instructions through a plurality of electromechanical micro-actuators embedded within said device, said micro-actuators configured to selectively exert mechanical forces against predefined surfaces of the aligner, thereby dynamically altering the geometry of tooth-receiving cavities within said aligner, with the adjustments performed remotely via said communication interface;wherein said real-time interactive aligner device allows for continuous monitoring and realtime optimization of the treatment by ensuring the alignment is maintained within optimal ranges based on the real-time measurements.

4. The system of claim 1, wherein the patient management module includes a mobile application for one or more members of a group comprising patients, healthcare providers, caregivers, family members, and authorized medical personnel to access their treatment plan, facilitate communication with healthcare providers, monitor treatment progress, offer educational materials related to the patient's health condition, and provide feedback on the performance of the selected general dentist, wherein said feedback is used as a performance rating criterion in future tender processes.

5. The system of claim 4, wherein the mobile application is configured to provide the patient with multiple treatment plan options, categorized by factors including budget, treatment duration, and expected outcomes, allowing the patient to select a preferred plan based on these criteria.

6. The system of claim 5, wherein the budget range comprises a spectrum from low to high, with corresponding treatment plan options categorized accordingly, allowing the patient toselect a treatment plan based on their preferred financial budget, ranging from affordable to expensive options.

7. The system of claim 1, wherein the manufacturing module selects laboratories based on criteria selected from a group consisting of cost, quality, production capacity, location, turnaround time, technological capabilities, certification status, environmental compliance, workforce expertise, scalability potential, industry reputation, historical performance, client feedback, equipment modernity, data security measures, logistical synergy, and partnership history.

8. The system of claim 1, further comprising a blockchain component that maintains secure and immutable records of patient data, said records are selected from a group consisting of data, treatment plans, provider transactions, medication logs, diagnostic imaging, laboratory results, appointment schedules, consent forms, and insurance claims.

9. The system of claim 1, wherein the dental treatment is performed by an orthodontic or dental professional who is not a licensed dentist or doctor, such as a dental hygienist, dental assistant, or other qualified healthcare provider.

10. The system of claim 1, wherein the examination of the patient's oral cavity is initiated and performed by the patient using a self-scan device or other independent examination method, wherein the patient captures and transmits the examination data, including measurements or digital images, to the clinic or treatment center for further analysis, processing, and incorporation into the treatment plan, thereby enabling remote initiation of the dental treatment process and enhancing patient autonomy in the management of their dental care.

11. The system of claim 1, further comprising an artificial intelligence (AI) and machine learning (ML) module configured to:a. analyze historical patient data, treatment outcomes, and provider performance data to optimize the criteria for the tender process and treatment plans;b. assist in the selection of dental service providers, predicting treatment success based on historical data, geographic considerations, and patient preferences;c. provide personalized recommendations for treatment modifications based on real-time feedback and patient-specific data, optimizing the aligner specifications and treatment progress;d. facilitate predictive analytics to forecast patient adherence, treatment timeframes, and potential complications; ande. continuously improve service quality and operational efficiency by learning from ongoing data, ensuring that the system adapts to emerging patient needs and clinical innovations.

12. The system of claim 4, further comprising a recommendation and alert module configured to:a. monitor patient treatment data and progress across the system;b. identify missed or unaddressed treatment recommendations by dental professionals, including preventive care or follow-up procedures;c. automatically generate and deliver a recommendation to the patient, suggesting necessary dental treatments, such as aligner adjustments or preventive care, despite the missed recommendation by the dental professional; andd. offer the patient the option to consult with an alternative professional within the system to ensure timely intervention and treatment, thereby ensuring continuity of care and optimizing patient outcomes.

13. A method for coordinating dental treatment in a distributed network of clinics, utilizing the system of claim 1, the method comprising steps of:a. capturing, via the digital imaging module, a digital image of a patient's oral cavity using an intraoral scanning device;b. formulating, via the treatment planning module, a treatment plan, and obtaining approval from the orthodontic specialist, based on the digital image;c. manufacturing, via the manufacturing module, transparent aligners at a laboratory according to specifications from the treatment plan;d. selecting, via the patient management module, a general dentist to execute the treatment plan through the competitive tender process; ande. conducting, via the communication interface, follow-up and specialist oversight to confirm treatment effectiveness and patient satisfaction.

14. The method of claim 13, wherein the capture of the digital image is performed at a location convenient for the patient.

15. The method of claim 13, wherein the competitive tender process evaluates general dentists based on experience, cost, and patient proximity.

16. The method of claim 13, further comprising utilizing a mobile application to facilitate patient feedback and treatment updates.

17. The method of claim 13, wherein the dental treatment is performed by a non-dental professional, such as dental hygienist, dental assistant, or other qualified personnel, under the supervision of a licensed doctor, but not directly by the doctor.

18. The method of claim 13, further comprising utilizing an artificial intelligence (AI) and machine learning (ML) model to:a. analyze real-time patient data, treatment outcomes, and feedback from the clinics to adjust and optimize dental treatment plans dynamically;b. predict the most effective treatment strategies based on historical case data and individual patient profiles;c. automate the selection of appropriate dental service providers in the tender process by learning from previous treatment results, location data, and patient satisfaction metrics;d. assess treatment progress and recommend adjustments to aligner specifications or treatment protocols based on continuous data input; ande. enhance patient satisfaction by predicting and addressing potential issues such as treatment delays or non-compliance, improving overall treatment outcomes.

19. The method of claim 13, further comprising the steps of:a. monitoring patient treatment data and progress across the geographically distributed network of dental clinics;b. identifying, using a processor, missed or unaddressed treatment recommendations by dental professionals, including preventive care or follow-up procedures; c. automatically generating, by the processor, a treatment recommendation for the patient, based on the identified missed recommendation, including suggestions for necessary dental treatments such as aligner adjustments or preventive care; d. delivering the generated recommendation to the patient through the communication interface; ande. offering the patient the option to consult with an alternative dental professional within the system to ensure timely intervention and continuity of care, thereby optimizing treatment outcomes and preventing delays in the dental care process.

20. The system of claim 8, further comprising a smart contract module configured to execute an automated financial transaction to the selected general dentist upon digital verification of a treatment milestone, wherein said verification is triggered by an entry in the blockchain component validated by the orthodontic specialist, thereby ensuring trustless payment execution within the geographically distributed network.

21. The system of claim 1, further comprising a hierarchical management architecture including a head management system and at least one sub-head management system, the sub-head management system configured to oversee a specific operational segment selected from: national-level public healthcare clinics, regional clinics for underserved settlements, and satellite clinics; wherein the head management system ensures a unified treatment protocol across all segments via a centralized data repository.

22. The system of claim 1, further comprising a service article provision module configured to distribute dental-related products to the patient at a discounted rate, wherein said module is integrated with a dental insurance interface to validate insurance premium status as a condition for said discounted rate.

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