39 results about "Referral" patented technology

Disclosed herein are systems, methods, devices, and media for carrying out medical diagnosis of diseases and conditions using artificial intelligence or machine learning approaches. Deep learning algorithms enable the automated analysis of medical images such as X-rays to generate predictions of comparable accuracy to clinical experts for various diseases and conditions including those afflicting the lung such as pneumonia.

The present invention relates to a method and system for enhanced medical triage in managed care plans that streamlines the conventional medical triage process and referral logic, sends only those insurance claims to an integrated case management system that require medical intervention, matches claims to the right resource at the right time, reduces the time needed to review lost time cases, lessens the number of unnecessary referrals or re-referrals, and further tailors the assignment process of medical insurance claims to medical personnel based on specific market and / or employer dedication.

The invention discloses an artificial intelligence medical grading treatment method and system based on 5G and a block chain. The method comprises the steps that identity information, position information and medical information of a patient are collected through a patient terminal; the cloud server receives the identity information, the position information and the medical information sent by the patient, word segmentation is carried out on text data of the medical information to obtain first structured data, and a disease level is matched according to the first structured data; the identity information, the position information and the medical information of the patient and the corresponding timestamps are encrypted through an encryption algorithm and then packaged and sent to a block chain. Disease communication and data sharing among hospitals at all levels are realized, coordination of resources among the hospitals is facilitated, the referral efficiency of graded diagnosis and treatment is improved, the management difficulty is reduced, a graded diagnosis and treatment system of primary first diagnosis, bidirectional referral, acute and chronic division and treatment and up-down linkage is realized. And a medical pattern that a small illness is at a primary level, a large illness reaches a hospital and is recovered to a community is formed.

A method for analyzing speech generated during a call to generate a potential referral and automatically modifying, during the call, a user interface displaying data associated with the analyzed speech, includes analyzing, by an analysis engine, during a call by a patient to a call center operator, data generated during the call, the data received from a second computing device. The method includes identifying patient data associated with the patient. The method includes determining at least one requirement of the patient based upon the identified patient data and the analysis. The method includes generating a potential referral to a physician for the patient, the physician having a profile that satisfies the determined at least one requirement. The method includes modifying a user interface displayed to the call center, during the call, the modification to the display including addition of an identification of the potential referral.

The invention relates to a community-oriented health monitoring management method and system. The method comprises the steps: carrying out the health level classification of all patient users through a cloud server cluster according to the related basic data of all patient users, and enabling the health levels to indicate the health degrees of the patient users; the medical staff pushes different reminding messages to the patient users with different health levels through the hospital terminal; after the cloud server cluster obtains the health data uploaded by the patient user, different coping strategies are triggered according to the data analysis result and the health level corresponding to the patient user, and the coping strategies comprise at least one of propaganda and education data pushing, medical advice pushing, abnormal alarm and appointment referral; and the cloud server cluster sends the triggered coping strategy to the patient users through the home terminal, so that the problem that the working efficiency of medical staff is low due to the fact that effective management cannot be carried out since users needing to focus on in the patient users are not distinguished from general patient users is solved.

Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter). Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement.

A method and system providing medical treatment to patients. In some embodiments, a remote practitioner is connected via a referral network to an in-person clinician that can perform work that cannot be performed remotely on behalf of the practitioner. Some embodiments perform a lightweight referral for said work, where the work may be smaller than the minimum procedure code and assigned billing for the overall specific therapy being undertaken. In some embodiments, the in-person clinician is only licensed to be able to perform the tasks they are assigned. In some embodiments, the in-person clinicians operate as the remote in-person medical assistance needed for the remote practitioner to practice medicine. Billing and pricing methods are disclosed for sub-procedure-code tasks.

The invention discloses a transfer treatment method and system. In the transfer treatment method, a request terminal can send transfer requests to a plurality of receiving terminals at the same time, and any receiving terminal responds to the transfer requests and generates referral information, so that the transfer requests can be responded in time. The receiving terminal responding to the transfer requests sends the transfer information to the request terminal, so that the request terminal and the to-be-transferred physical examination object can know the transfer condition in time, and the transfer waiting time of the to-be-transferred physical examination object can be shortened. Besides, a worker of the receiving terminal can check the physical examination information and judge the illness state of the to-be-referred physical examination object according to the physical examination information before consultation, accurate consultation suggestions can be more timely and accurately made for the to-be-transferred physical examination object, and the situation that doctors may need to be replaced due to the fact that the to-be-transferred physical examination object knows the basic conditions of the to-be-transferred physical examination object after consultation can be avoided; and the treatment receiving time of the to-be-transferred physical examination object is prevented from being increased. Therefore, the referral processing method provided by the invention can realize rapid and accurate referral of the physical examination object to be referral.

Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter). Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement.

Embodiments of the present disclosure relate to systems, methods, and user interfaces for providing intelligent touch care. More particularly, embodiments of the present disclosure utilizes contributing data elements in a community early warning score (CEWS) to predict touchpoint discipline and to recommend frequency, modality, and upstream transitions of care and outside service referrals for a patient in a community care setting. In response to a touch point (e.g., a change in condition or medication, a scheduled or unscheduled appointment, or a patient question), the CEWS can be utilized along with data in an EHR of a patient, data from a patient device, or data from a patient portal to initiate a follow-up (e.g., personal health question or encounter). Notification tools and scheduling functionality are provided via a user interface of the patient device to improve clinical workforce capacity, increase the number of patient touches, and encourage heightened patient engagement.

The invention provides a referral appointment method and a device thereof, electronic equipment and a storage medium. The method comprises the following steps: enabling a server side to receive a referral appointment request sent by a doctor side; according to referral doctor information carried by the referral appointment request, judging whether a number source corresponding to the referral doctor information is left or not; and if the number source corresponding to the referral doctor information is left, reducing the number source corresponding to the referral doctor information, and sending a referral success message to the patient side according to the patient information carried by the referral appointment request. The matching accuracy of the patient going to the superior hospital can be improved, the existing process is simplified, and the time cost and the money cost of secondary treatment of the patient are saved.

An integrated on-line and off-line interrogation system includes a physician-seeking system, an on-line interrogation system, a banking card transaction management system, an electronic health record management system, a (on-line) physician module, and a (off-line, in-hospital) physician module. The physician-seeking system allows patients to search for physicians. Patients can select on-line real-time interrogation and appointment, or select off-line interrogation and add-on or registration, or be referred to off-line interrogation from on-line referral. Patients' image data and health records of off-line interrogation can be classified and managed using the electronic health record management system, thereby achieving convenient and paperless operation. Pairing (on-line) physicians and (off-line, in-hospital) physicians provides a basis for localization management of physicians and facilitates on-line and off-line referral. This system establishes a real-time, convenient interrogation channel between patients and physicians without spacial and temporal limitation, thereby maximizing possibility of interrogation and solving difficulty in physician seeking and queuing.

The invention discloses a method for realizing management of high-risk children in an area under administration by using a maternal and child information system sharing function. The method comprises the following steps: step 1, establishing a child file; step 2, filing high-risk children; 3, referral and reception management; 4, two-way referral treatment; 5, query and statistics are carried out; and step 6, quality control and monitoring management. According to the method for realizing management of the high-risk children in the jurisdiction by using the maternal and child information system sharing function, when a basic health center provides a health management service for 0-6-year-old children of basic public health service and finds that the children have high-risk conditions, classified registration and referral treatment can be carried out on a high-risk child registration interface; the primary health center can check the registration condition of the high-risk child in the system to know whether the high-risk child succeeds in referral and the diagnosis and treatment condition of a reception unit after referral in daily management and supervision work or when the child goes back for physical examination, and can continue to supervise and urge if not succeeding in referral.