US 12,340,908 B1
Regionally integrated emergency stroke unit
Yongjun Wang, Beijing (CN); Jing Jing, Beijing (CN); Xuewei Xie, Beijing (CN); and Tao Liu, Beijing (CN)
Assigned to Beijing Tiantan Hospital, Capital Medical University, Beijing (CN)
Filed by Beijing Tiantan Hospital, Capital Medical University, Beijing (CN)
Filed on Mar. 4, 2025, as Appl. No. 19/069,292.
Claims priority of application No. 202410993951.7 (CN), filed on Jul. 24, 2024.
Int. Cl. G16H 50/20 (2018.01); A61B 5/00 (2006.01); A61B 5/0205 (2006.01); A61B 5/021 (2006.01); A61B 5/055 (2006.01); A61B 5/145 (2006.01); A61B 5/332 (2021.01); A61B 50/36 (2016.01); A61F 17/00 (2006.01); A61G 3/00 (2006.01); A61G 10/00 (2006.01); G06T 7/00 (2017.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01); G16H 70/20 (2018.01); G16H 70/40 (2018.01)
CPC G16H 50/20 (2018.01) [A61B 5/0042 (2013.01); A61B 5/0046 (2013.01); A61B 5/0205 (2013.01); A61B 5/021 (2013.01); A61B 5/055 (2013.01); A61B 5/14532 (2013.01); A61B 5/14542 (2013.01); A61B 5/332 (2021.01); A61B 5/6801 (2013.01); A61B 5/742 (2013.01); A61B 5/749 (2013.01); A61G 3/001 (2013.01); G06T 7/0014 (2013.01); G16H 10/20 (2018.01); G16H 10/60 (2018.01); G16H 20/40 (2018.01); G16H 50/30 (2018.01); G16H 70/20 (2018.01); G16H 70/40 (2018.01); A61B 50/36 (2016.02); A61B 2560/0493 (2013.01); A61F 17/00 (2013.01); A61G 10/00 (2013.01); G06T 2207/10088 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30016 (2013.01); G06T 2207/30101 (2013.01)] 7 Claims
OG exemplary drawing
 
1. A regionally integrated emergency stroke unit, comprising: an information interaction area, an imaging examination area, and a thrombolytic therapy area, wherein
a doctor workstation, a comprehensive information surveillance monitor, and a process support artificial intelligence (AI) assistant are set in the information interaction area; the doctor workstation comprises a computer, a file rack, and a folding table; the computer is configured for a doctor to enter information; the file rack is configured to place a document; the folding table is configured to temporarily place and store a medical device and a document; the comprehensive information surveillance monitor is configured to display basic information, an arrival time at a hospital, an arrival time at a clinic, and vital signs of a patient; and the process support AI assistant is configured to perform, via voice interaction or touchscreen keying interaction, automatic inquiry and auxiliary nervous system scale scoring, and further provide real-time retrieval support for a knowledge base and a clinical guideline;
an intelligent interaction module is disposed in the process support AI assistant; and the intelligent interaction module is configured to perform, based on an emergency structured record, structured questioning on key medical information about the patient comprising a time of onset, an onset symptom, a concomitant symptom, a past medical history, and an allergy history, perform voice recognition on an answer of the patient and/or a family of the patient, and perform structured entry of the key medical information;
the intelligent interaction module is further configured to score via voice interaction or touchscreen keying interaction with the patient and/or the family of the patient based on the auxiliary nervous system scale comprising a National Institute of Health stroke scale (NIHSS), an age, blood pressure, clinical features, duration, diabetes (ABCD2) scale, and a pre-morbid modified rankin scale (mRS), to obtain a scale score result;
a large language model is further stored in the intelligent interaction module; the large language model comprises a knowledge base related to clinical diagnosis and therapy of a stroke, comprising a clinical scale, a guideline for acute cerebral infarction, a guideline for secondary prevention of cerebral infarction, a guideline for diagnosis and therapy of cerebral hemorrhage, a guideline for clinical diagnosis and therapy of subarachnoid hemorrhage; and in a process of diagnosis and therapy, retrieval of the knowledge base and the clinical guideline is implemented via voice interaction or touchscreen keying interaction with the doctor;
a test device, a first television display, a movable low-field magnetic resonance imager, and an AI-assisted decision-making system are set in the imaging examination area; the test device is configured to perform electrocardiogram examination and pharmacogenetic testing, and monitor oxygen saturation, a blood pressure, and peripheral blood glucose of the patient, to obtain a test result; the first television display is configured to amplify content on the comprehensive information surveillance monitor for display; the movable low-field magnetic resonance imager is configured to perform magnetic resonance imaging (MRI) on a head and neck of the patient; the AI-assisted decision-making system is in communication connection with the comprehensive information surveillance monitor, the process support AI assistant, the test device, the first television display, and the movable low-field magnetic resonance imager separately; and the AI-assisted decision-making system is configured to assist in decision-making based on an automatic inquiry result, the scale score result, the test result, and MRI results of the head and neck, to generate and display a therapy regimen; and
a small refrigerator, a first aid medicine cabinet, and a storage cabinet are set in the thrombolytic therapy area, and configured to store medicines, reagents, and first aid medicines with different temperature requirements; an ambulance and a vital signs monitoring system are further set in the thrombolytic therapy area; the ambulance is configured to rescue the patient in medical emergency; and the vital signs monitoring system is configured to monitor and display the vital signs of the patient in real time;
wherein new-generation thrombolytic drugs and necessary medicines are provided in the thrombolytic therapy area, and a medication regimen is determined by pharmacogenetic testing; genotyping of genes of CYP2C19, CYP2C9, and VKORC are determined by a non-invasive rapid genotyping tester; and results are automatically transmitted to the AI-assisted decision-making system, effectiveness and safety of various types of drugs for the patient are preliminary determined based on genotyping of key genes for drug metabolism, and therapy suggestions are given.