6 results about "Patient flow" patented technology

Provided herein are computerized system and method for full patient flow management through an emergency department process, integrating multi-agents LLM. The system and method utilize a plurality of LLM-based agents configured to perform one or more of: extract relevant medical information and generate a summarized medical history; interactively questioning the subject regarding its medical history and regarding the main complaint(s); provide recommendations regarding various medical examinations; process the summarized medical history and the results of the recommended medical examination(s) and; provide further summary, recommendations or instructions, regarding diagnosis and a decision regarding discharge or admission of the subject.

Cataract surgery is in recent years more and more augmented and supported by the application of laser cuts in the eye tissue. Such laser systems are separate units from the phacoemulsification system units that are usually used for cataract extraction. The laser systems require the patient to be positioned under the laser unit and then being moved under the surgical microscope next to the phacoemulsification unit. The here described invention relates to systems combining several aspects of the laser system and the phacoemulsification system. In particular, this invention relates to combining at least some parts of the control system and the housing for both systems and thereby minimizing and optimizing setup time, operating room footprint, patient flow and cost. Furthermore the here disclosed invention relates to integrating the laser system under the surgical microscope and thereby significantly reducing the surgery setup and complexity.

The invention relates to the technical field of medical informatization and intelligent management, in particular to a medical oncology daytime chemotherapy center patient whole-process intelligent scheduling and safety management method which comprises the steps of admission sign-in and dynamic scheduling, nursing task intelligent decomposition and pushing, drug flow and patient flow double-closed-loop safety checking and infusion process intelligent monitoring and early warning. The admission sign-in and dynamic scheduling specifically comprises the steps that after the patient actually arrives at sign-in, the system dynamically adjusts and locks an optimal execution path according to the real-time resource occupation condition, generates a personal exclusive all-day electronic treatment navigation timeline for the patient, pushes the timeline to a patient mobile terminal and updates the timeline in real time. According to the technical scheme provided by the invention, full-process and multi-resource collaborative optimization and closed-loop safety management of daytime chemotherapy patients are realized, the running efficiency of a daytime chemotherapy center can be remarkably improved, the medical error risk is reduced, the medical experience of the patients is improved, and data support is provided for fine management and continuous improvement.

The invention relates to the technical field of big data analysis, and discloses a big data analysis-based outpatient service payment medical insurance data monitoring analysis management system, which comprises a data acquisition module for acquiring outpatient service medical insurance settlement data before and after hierarchical diagnosis and treatment of all medical insurance fixed-point medical institutions in a target area; and the data analysis module is used for acquiring sub-data change amplitudes of the patient flow direction data, the cost benefit data and the disease matching degree data before and after the implementation of the hierarchical diagnosis and treatment in the same target area according to the outpatient medical insurance settlement data before and after the implementation of the hierarchical diagnosis and treatment, and constructing a change amplitude data set. The method comprises the steps of obtaining outpatient medical insurance settlement data before and after hierarchical diagnosis and treatment of a medical insurance fixed-point medical institution in a target area, obtaining a change amplitude data set and a difference value data set according to the outpatient medical insurance settlement data, completing correction, and performing comprehensive evaluation according to the corrected data to obtain a hierarchical diagnosis and treatment effectiveness evaluation result.

To provide a blood purification device that can reduce the installation space required for the device in a space where multiple patients are treated. [Solution] The blood purification device 1A comprises a housing 10, a first blood purifier 21, a second blood purifier 22, a first blood pump 31, and a second blood pump 32. The housing 10 has a first side wall 11 and a second side wall 12. The first blood purifier 21 is incorporated into a first blood circuit through which the blood of a first patient flows. The second blood purifier 22 is incorporated into a second blood circuit through which the blood of a second patient flows. The first blood pump 31 is connected to the first blood circuit. The second blood pump 32 is connected to the second blood circuit. The first blood purifier 21 and the first blood pump 31 are provided on the first side wall 11. The second blood purifier 22 and the second blood pump 32 are provided on the second side wall 12.

This invention discloses a visualized IoT integrated management platform, comprising a device and data acquisition layer, a network and protocol conversion layer, a data processing layer, and a visualization application layer. By leveraging IoT technology, this invention connects patient flow, doctor flow, material flow, and information flow, enabling real-time perception and transparent management of hospital operational status. Through a built-in intelligent analysis engine, it not only achieves post-event statistics but also provides in-process early warning and pre-event prediction, such as early detection of emerging epidemics and prediction of resource bottlenecks. It transforms complex multi-source data into intuitive graphics, charts, and 3D models, significantly reducing management complexity and improving decision-making efficiency.