15 results about "Appointment scheduling" patented technology

Disclosed herein are embodiments of systems, methods, and products comprises an analytic server, which automatically manages appointment scheduling. The analytic server receives a customer request to schedule an appointment. The analytic server determines the required data from both customer and service provider for making the appointment. The analytic server retrieves customer data comprising requested service attributes, user preferences, users attributes from internal database and external data source. The analytic server retrieves service providers' data comprising provider service attributes, providers' attributes from internal database and external data sources. The analytic server accesses external data source by web crawling various websites. The analytic server executes an artificial intelligence model to predict user preferences and needs. The analytic server determines potential service providers best matching the customer's input or predicted preferences. The analytic server generates an appointment for each matching service provider and transmits an electronic message comprising the appointments to customer device.

The invention belongs to the field of medical system optimization technology and computer-aided scheduling, and provides a multi-stage medical appointment intelligent scheduling optimization method, which comprises the following steps: constructing a multi-stage appointment scheduling model, distinguishing direct and indirect waiting heterogeneity effects, and introducing a virtual scheduling node to adapt to discontinuous appointment behaviors; a logic-based Benders decomposition algorithm and a clustering-based Benders decomposition algorithm are provided, and scheduling evaluation and calculation efficiency is improved through iterative cutting optimization. According to the method, delay tolerance heterogeneity, perception delay heterogeneity and discontinuous appointment constraints are considered at the same time, the patient process is effectively optimized, the inquiry efficiency and appointment fairness are improved, and a new direction is provided for medical dynamic resource scheduling.

The invention provides a cloud collaborative optometry service method and system for a mobile optometry vehicle, and the method comprises the steps: taking the mobile optometry vehicle as a discrete service point, and carrying out optometry service for scenes such as door-to-door, reservation communities, reservation companies, mountainous area obligations, remote regions and regions lacking medical resources; optometry data of a user is collected and preliminarily arranged, and encrypted and transmitted to the cloud server through the communication module; the cloud system checks the data, then analyzes and decides, generates a diagnosis conclusion and an eyesight protection suggestion, reversely transmits the diagnosis conclusion and the eyesight protection suggestion to the mobile optometry vehicle and synchronously stores the suggestion; a worker feeds back information to the user and updates an optometry service file of the user, and the cloud synchronously summarizes and counts service data to support subsequent service planning; the mobile optometry vehicle is used as a discrete service point and combined with the appointment scheduling module, various service scenes can be flexibly covered, the appointment requirement of a user can be responded, a service route can be actively planned, the optometry service blank of a weak area is filled up, and the coverage range of optometry service is expanded.

The invention relates to a painless gastrointestinal endoscopy doctor-patient interaction system, which comprises an interaction system, a medical care client and a user client, and is characterized in that the interaction system is in wireless data connection with the medical care client, and the interaction system is in wireless data connection with the user client. The steps of reservation, diet preparation, laxative preparation and the like can be automatically and intelligently completed, manual intervention is reduced, the medical efficiency is improved, through an automatic and intelligent mode, the labor cost of nurses and the like can be reduced, the operation cost of hospitals is reduced, and the system can automatically and intelligently complete the steps of reservation, diet preparation, laxative preparation and the like according to personal information of patients and suggestions of doctors. According to the painless gastrointestinal endoscopy doctor-patient interaction system, accurate diet guidance, laxative preparation guidance and the like are provided, errors possibly caused by manual guidance are avoided, the examination accuracy is improved, a patient can more conveniently know own examination conditions through the painless gastrointestinal endoscopy doctor-patient interaction system, misunderstanding and dissatisfaction of a doctor are reduced, and the doctor-patient relationship is improved.

The invention provides a parking space and pile space intelligent scheduling method and device of a parking and charging integrated system, and relates to the technical field of parking space management, and the method comprises the steps: collecting user side data and parking space side data; judging whether the current scheduling request is a reservation scheduling request or a real-time scheduling request based on service request data in the user side data; if the request is an appointment scheduling request, starting an appointment scheduling decision-making mechanism, and generating a first scheduling strategy; if the current scheduling request is a real-time scheduling request, starting a real-time scheduling decision mechanism, and generating a second scheduling strategy; and executing the first scheduling strategy or the second scheduling strategy to complete berth pile position scheduling. According to the method and the device, the technical problem of low berth and pile scheduling efficiency caused by difficulty in strategy adjustment for different types of scheduling requirements in the prior art is solved, and the berth and pile scheduling efficiency is improved by performing the double-track system time-sharing decision based on the service request type.

The application discloses a kind of adaptive decision methods for outpatient appointment scheduling, it is related to intelligent medical technology field, including: obtaining the expected appointment time of patient and basic information, constructs patient medical image, predicts patient estimated visit length by the patient medical image;Based on encoder-decoder recurrent neural network, build sequencing decision model, import patient estimated visit length in combination with patient's expected appointment time, define patient's sequencing information in outpatient appointment scheduling;Patient waiting total time, doctor idle time and doctor overtime are introduced according to sequencing information to calculate total time cost for evaluation, when the evaluation result meets the preset standard, then recommend patient appointment visit period.The application generates scheduling data in line with patient satisfaction by adapting to patient visit time heterogeneity through data-driven method, reduces cost while improving outpatient operation efficiency.

A computer implemented method for generating an interactive electronic interface for healthcare appointment scheduling may include establishing connections to multiple electronic medical record (EMR) systems using different connection protocols and transfer mechanisms. The method may retrieve scheduling data from each EMR system, which may have heterogeneous data schemas and native provider identifiers. The system may transform scheduling data using a mapping layer that can convert native provider identifiers to a standardized format using cross-reference data or system-specific identifiers. The system may generate an interactive electronic interface displaying a consolidated view of appointment availability across multiple EMR systems in a unified calendar interface via web browser. The interface may show selectable time blocks in a grid layout where rows represent providers and columns represent appointment dates. It may include filtering controls for provider specialty, location, appointment type, or date range, with real-time updates and visual indicators for appointment duration and type.

An appointment scheduling platform manages a user accessible waitlist. A user interface receives a request from a user to book an appointment schedule based on user preferences, and available appointment schedules are identified corresponding to user preferences. Further, requests are collected from the user to be added to the waitlist. An appointment monitoring system tracks the waitlist in case of appointment cancellations by using the user interface that displays the waitlist option along with appointment schedules. A machine learning module prioritizes the users on the waitlist using inputs including user preferences, historical data, and medical practitioner notes to create eligibility for the user. A notification module notifies the user of the eligibility list upon the availability of vacant session slots, and a confirmation module confirms the booking of the appointment schedule after the user submits the user selection.

This invention discloses a remote medical system for children's bone age assessment and growth monitoring, relating to the field of medical diagnostic technology. The system includes: user-end data acquisition compatible with home / hospital equipment and sensors, automatic collection reminders, and transmission identification; image preprocessing with filtering and enhancement; AI-based bone age assessment based on an age-specific model, switching between dual standards, outputting results and anomaly markers; growth analysis comparing with standard curves; a remote interactive encrypted platform, pushing results for annotation and diagnosis; data storage with double encryption, sorted by timeline, supporting retrieval and authentication; anomaly warning with three threshold levels, triggering multi-channel alerts and automatic appointment scheduling; human-computer interaction via touchscreen or APP, providing an entry point, with key operations requiring verification. This invention achieves convenient remote data acquisition and accurate bone age assessment, scientifically monitors growth trends and warns of anomalies, strengthens cross-institutional collaboration and personalized intervention, ensures data security, improves management efficiency and intervention effectiveness, and adapts to the needs of children throughout their growth cycle.

This invention discloses a blockchain-based intelligent triage and appointment system for ophthalmology clinics, relating to the field of outpatient triage technology. The system generates target event data based on patient complaint data, risk inquiry data, and consultation context data, forming triage voucher data. This data is then used to jointly arrange examination appointment data and patient reception appointment data, achieving closed-loop appointment scheduling between pre-examination nodes and patient reception nodes in ophthalmology clinics. By writing triage voucher data, appointment scheduling data, and node execution data into the blockchain, path release control and full-process traceability can be achieved. When node result data is abnormal, path change data can be automatically generated and subsequent appointments rearranged, thereby reducing misbooking, missed examinations, duplicate queuing, and invalid registration, and improving the accuracy and resource utilization efficiency of ophthalmology clinic triage.

The present invention provides a program, method, and information processing device that makes it easier for professionals, such as lawyers, to manage appointment scheduling for consultations aligned with their intentions, thereby further promoting the provision of professional services in accordance with the professionals' intentions. [Solution] In a server, a program in the storage unit that manages information on the time slots of a second user who will receive a reservation causes one or more computer processors to execute the following steps: acquire information on a channel that accepts inquiries from a first user who wishes to make a reservation to the second user who will receive the reservation; determine a time slot for the second user to receive the reservation according to the information on the channel of the acquired inquiry; and confirm the reservation request from the first user as a reservation within the determined time slot.

A computer-implemented method for managing the orthopedic treatment process using a mobile application, comprising: Conducting virtual consultations between patients and orthopedic surgeons using real-time communication technologies, • Planning and management of doctor's appointments through an automated appointment scheduling system, ◯ Collection and storage of medical history data, ◯ Real-time tracking of treatment progress, ◯ Ensuring continuous communication through secure News and video broadcasts, ◯ Management and access to electronic patient records via a cloud-based infrastructure.

The invention discloses a football field intelligent operation management method based on a mobile application, and relates to the technical field of football field operation, and the method comprises the following steps: constructing a unified field resource data model; a schedule availability quantification and conflict determinable mechanism based on a resource model; dynamic scheduling driving quantity construction and load balancing triggering oriented to real-time requirements are carried out; a cross-site collaborative scheduling optimization and intelligent migration decision-making mechanism; an equipment operation load coupling prediction and maintenance scheduling linkage mechanism; and a multi-dimensional operation performance evaluation and self-adaptive strategy decision-making mechanism. According to the method, the unified site resource data model is constructed, the site schedule, the facility operation state, the maintenance period and the use record are subjected to collaborative modeling, and dynamic linkage management of appointment scheduling, resource configuration and equipment operation and maintenance is realized, so that the site utilization rate can be effectively improved, and the equipment operation and maintenance risk can be reduced; the refinement level and the user experience of site operation management are remarkably improved, and the method has relatively high practical value and popularization and application prospects.

Artificial intelligence (AI) based technologies for improving patient appointment scheduling and inventory management are disclosed herein. An example method includes receiving, at a server including a natural language processing (NLP) model, an appointment request from a user. The example method further includes initiating, based on the appointment request, a patient appointment data stream including verbal responses from the user regarding an appointment of the user. The example method further includes applying, while simultaneously receiving the patient appointment data stream, the NLP model to the verbal responses from the user to output (i) textual transcriptions and (ii) intent interpretations. The example method further includes querying a scheduling database to determine a matching appointment that satisfies a distance threshold, a date threshold, a service threshold, and an inventory threshold. The example method further includes causing a user device of the user to convey the matching appointment to the user.

The invention discloses a laboratory appointment scheduling method and system, and relates to the technical field of laboratory management, and the method comprises the following steps: S1, generating an ordered list of an adaptive laboratory for each project through hard constraint screening and soft constraint scoring according to the attribute information of an experiment project and the resource configuration information of the laboratory; s2, according to the project attribute information and the historical project data, calculating the dynamic buffer time and the scheduling reference duration of the project through a prediction model; s3, generating a candidate scheduling scheme set through a CP-NSGA-III hybrid adaptive optimization algorithm according to the ordered list of the project adaptation laboratory and the scheduling reference duration; and S4, according to the candidate scheduling scheme set and the optimized target numerical value thereof, receiving a scheduling reservation request of a user, recalculating and updating the scheduling of the affected project, and generating an optimal scheduling scheme.