CN111539866A - Emergency rescue remote medical support service system - Google Patents
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Abstract
The invention discloses an emergency rescue remote medical support service system, which comprises a field information acquisition terminal, a server and a guidance terminal, wherein the server comprises a doctor matching unit and a medical resource counting unit; the doctor matching unit matches the pain information acquired by the field information acquisition terminal with idle doctors treating corresponding symptoms according to doctor data; the doctor data comprises a doctor duty list and the main treatment diseases of the doctor; the medical resource counting unit is used for counting all medical resources in the disaster area, counting gaps of various resources according to the medical materials required by the wounded to be treated and input by the required medical resource input unit and sending the gaps to the rescue center. The invention realizes the real-time projection of the patient condition in the disaster area by the VR technology, and fully utilizes the doctor resources outside the disaster area, and can count the consumption of materials in real time, thereby sending the shortage resources to the rescue center and realizing the targeted and rapid supplement of the shortage medical resources.
Description
The technical field is as follows:
the invention relates to a service system, in particular to various emergency rescue remote medical support service systems.
Background art:
when disasters such as earthquake, flood and the like occur, thousands of wounded persons are likely to appear, so that medical personnel in a disaster area are seriously insufficient, and rescue personnel usually have a simple rescue basis and cannot achieve professional rescue. In addition, medical resources in disaster areas cannot be counted in real time, and in the rescue process, the resources are consumed in large quantities all the time, so that a lot of resources are in shortage but the lack of the resources cannot be counted in real time, and the resources cannot be accurately conveyed to a required position, namely, the medical resources cannot be effectively counted and allocated.
The invention content is as follows:
the invention aims to provide an emergency rescue remote medical support service system, which realizes real-time projection of the situation of patients in disaster areas by VR technology, fully utilizes doctor resources outside the disaster areas, and can count the consumption of materials in real time, thereby sending the shortage of resources to a rescue center and realizing the targeted rapid supplement of the shortage of medical resources.
In order to solve the problems, the technical scheme of the invention is as follows: .
A remote medical support service system for emergency rescue comprises a field information acquisition terminal 1, a server 2 and a guidance terminal 3, wherein the field information acquisition terminal 1 is in wired or wireless connection with the guidance terminal 3 through the server 2; the on-site information acquisition terminal 1 comprises an image acquisition unit, a voice communication unit, a required medical resource input unit and a positioning unit; the guidance terminal 3 comprises an image receiving unit and a voice communication unit;
the image acquisition unit is used for acquiring the field condition, and the voice communication unit is used for the mutual communication between the field information acquisition terminal 1 and the guidance terminal 3; the positioning unit is used for positioning the wounded; the required medical resource input unit is used for inputting medical materials required by the wounded to be treated;
the server 2 comprises a doctor matching unit and a medical resource statistical unit; the doctor matching unit matches the pain information acquired by the field information acquisition terminal 1 with idle doctors treating corresponding symptoms according to doctor data; the doctor data comprises a doctor duty list and the main treatment diseases of the doctor; the medical resource counting unit is used for counting all medical resources in the disaster area, counting gaps of various resources according to the medical materials required by the wounded to be treated and input by the required medical resource input unit and sending the gaps to the rescue center;
the guidance terminal 3 is used for receiving the field condition and the voice of the field worker acquired by the field information acquisition terminal 1 and guiding the field worker to perform medical guidance.
In a further improvement, the guidance terminal 3 is a VR helmet or VR glasses.
In a further improvement, the guidance terminal 3 further comprises a do-not-disturb unit, the do-not-disturb unit is used for setting a do-not-disturb mode when a doctor is busy, and the doctor matching unit does not match the doctor who opens the do-not-disturb mode any more; the guidance terminal 3 performs medical guidance on the field worker through the voice call unit.
In a further improvement, the server 2 further comprises a statistic unit for counting the times and the effect of remote assistance seeking by doctors.
Further, the field information acquisition terminal 1 further comprises an emergency call unit, and the emergency call unit is used for calling the ambulance for the endangered patient.
In a further improvement, the scene condition comprises an image of a diseased part of the patient, the environment and the position of the patient; the medical supplies comprise medical instruments, medical consumables and medicines.
In a further improvement, the doctor matching unit matches the doctor and the patient in the following way:
determining the level of the doctor according to the actual job title level of the doctoriWhen the doctor is the main doctor, the leveli1 is ═ 1; when the doctor is the assistant principal and subordinate doctor, the leveli2; when the doctor is the main doctor, the level is 3;
staff corresponding to the field information acquisition terminal (1) acquires patient information and determines the severity ISS of the patient based on a national trauma severity score sheet to determine the severity serious of the injury of the patientiSerious when ISS is less than or equal to 16i1 is ═ 1; when the ISS is more than 16 and less than or equal to 25, the seriousi1 is ═ 1; serious when ISS > 25i＝3；
1) Firstly, obtaining all matching modes of doctors and patients, and calculating to obtain a matching index matecore of the doctor level and the patient level when each matching mode is obtained;
wherein M is the number of remote consultation doctors, and N is the number of current patients;
2) calculating the distribution evaluation index gapScore of the traditional Chinese medicine resource workload in each matching mode:
numi represents the number of patients assigned by the ith doctor;
3) the overall evaluation index score in each matching mode is calculated,
score＝mateScore*weight1+gapScore*weight2
weights weight1 and weight2 are both weights; and selecting the matching mode of the doctor and the patient with the minimum score as a final matching scheme of the doctor and the patient.
In a further refinement, weight1 is 0.2 and weight2 is 0.3.
In a further improvement, when a new emergency patient is present, the number of the newly added patients and the number of the patients who have not received treatment are added to be used as the current number of the patients, and then the steps 1) to 3) are carried out to match again to obtain a final matching scheme of the doctor and the patients.
Further improvement, when a new emergency patient is available, the new emergency patient is allocated to a doctor; the doctor level grade of the certain doctor is equal to the severity of the newly-increased emergency patient; and selecting the matching scheme with the smallest overall evaluation index score when at most one patient in all patients matched by the certain doctor is matched to other doctors as the final matching scheme.
Description of the drawings:
fig. 1 is a schematic structural diagram of an emergency rescue telemedicine support service system.
The specific implementation mode is as follows:
in order to make the aforementioned objects, features and advantages of the present invention comprehensible, embodiments accompanied with figures are described in detail below. Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary and intended to be used for explaining the present application and should not be construed as limiting the present application.
Example 1
A remote medical support service system for emergency rescue comprises a field information acquisition terminal 1, a server 2 and a guidance terminal 3, wherein the field information acquisition terminal 1 is in wired or wireless connection with the guidance terminal 3 through the server 2; the on-site information acquisition terminal 1 comprises an image acquisition unit, a voice communication unit, a required medical resource input unit and a positioning unit; the guidance terminal 3 comprises an image receiving unit and a voice communication unit;
the image acquisition unit is used for acquiring the field condition, and the voice communication unit is used for the mutual communication between the field information acquisition terminal 1 and the guidance terminal 3; the positioning unit is used for positioning the wounded; the required medical resource input unit is used for inputting medical materials required by the wounded to be treated;
the server 2 comprises a doctor matching unit and a medical resource statistical unit; a disease classification doctor of the server 2 classifies and labels patients at the site information acquisition terminal 1 according to the types and severity of the patients; the doctor matching unit matches the pain information acquired by the field information acquisition terminal 1 with idle doctors treating corresponding symptoms according to doctor data; the doctor data comprises a doctor duty list and the main treatment diseases of the doctor; the medical resource counting unit is used for counting all medical resources in the disaster area, counting gaps of various resources according to the medical materials required by the wounded to be treated and input by the required medical resource input unit and sending the gaps to the rescue center;
the guidance terminal 3 is used for receiving the field condition and the voice of the field worker acquired by the field information acquisition terminal 1 and guiding the field worker to perform medical guidance.
And the guidance terminal 3 is a VR helmet or VR glasses.
The instruction terminal 3 also comprises a do-not-disturb unit, the do-not-disturb unit is used for setting a do-not-disturb mode when a doctor is busy, and the doctor matching unit does not match the doctor which opens the do-not-disturb mode any more; the guidance terminal 3 performs medical guidance on the field worker through the voice call unit.
The server 2 further comprises a statistical unit for counting the number and effect of remote recourse performed by doctors.
The field information acquisition terminal 1 further comprises an emergency call unit, and the emergency call unit is used for calling the ambulance for the endangered patient.
The site conditions include images of the affected part of the patient, the environment and location of the patient; the medical supplies comprise medical instruments, medical consumables and medicines.
The using method of the invention is as follows:
when a disaster occurs, a rescue worker starts the image acquisition unit to acquire images of a patient after encountering a wounded person, judges the wounded part of the wounded person, then matches the wounded person with a doctor for treating a corresponding disease through the doctor matching unit, judges the condition of the wounded person according to the projection of the image receiving unit and guides the rescue worker to carry out first aid, in the process of first aid, the rescue worker inputs consumed or needed medical materials, and a rescue center conveys medical resources needed by the rescue worker to the position of the rescue worker according to the positioning of the positioning unit; the medical resource statistical unit counts the medical resources stored in the whole disaster area, updates the medical resources stored in the disaster area in real time according to the resources needing to be consumed and input by the medical resource input unit, and sends the shortage urgent resources to a rescue center for emergency allocation.
The doctor matching unit matches the doctor and the patient in the following way:
determining the level of the doctor according to the actual job title level of the doctoriWhen the doctor is the main doctor, the leveli1 is ═ 1; when the doctor is the assistant principal and subordinate doctor, the leveli2; when the doctor is the principal doctor, the leveli＝3；
Staff corresponding to the field information acquisition terminal (1) acquires patient information and determines the severity ISS of the patient based on a national trauma severity score sheet to determine the severity serious of the injury of the patientiSerious when ISS is less than or equal to 16i1 is ═ 1; when the ISS is more than 16 and less than or equal to 25, the seriousi1 is ═ 1; serious when ISS > 25i3; (wherein patient rating calculations are made based on the national ISS patient trauma stratification. general principle of calculating ISS: this method divides the body into 6 areas and ISS is the sum of the squares of the highest AIS values for the 3 most severely damaged areas of the body, i.e.
ISS＝AIS1^2+AIS2^2+AIS3^2)
1) Firstly, obtaining all matching modes of doctors and patients, and calculating to obtain a matching index matecore of the doctor level and the patient level when each matching mode is obtained;
wherein M is the number of remote consultation doctors, and N is the number of current patients;
2) calculating the distribution evaluation index gapScore of the traditional Chinese medicine resource workload in each matching mode:
numi represents the number of patients assigned by the ith doctor;
3) the overall evaluation index score in each matching mode is calculated,
score＝mateScore*weight1+gapScore*weight2
weights weight1 and weight2 are both weights; and selecting the matching mode of the doctor and the patient with the minimum score as a final matching scheme of the doctor and the patient.
weight 1-0.2 and weight 2-0.3.
Example 2
On the basis of the embodiment 1, when there is a new emergency patient, the number of the new emergency patients is added to the number of the patients who have not received treatment to be used as the current number of the patients, and then the steps 1) to 3) are carried out to match again to obtain the final matching scheme of the doctor and the patients.
Example 3
On the basis of the embodiment 1, in order to avoid the occurrence of the situation that a large number of patients are replaced by preset doctors, the workload adjustment cost of doctors is saved, and when newly-increased emergency patients (for one patient or calculated one by one according to time) exist, the newly-increased emergency patients are allocated to a certain doctor; the doctor level grade of the certain doctor is equal to the severity of the newly-increased emergency patient; and selecting the matching scheme with the smallest overall evaluation index score when at most one patient in all patients matched by the certain doctor is matched to other doctors as the final matching scheme.
Specifically, when a new emergency patient needs to be modified in the matching sequence of the original patient doctors, the new weight gain matching cost evaluation index needs to be calculated according to the calculation mode of score: rematecomostscore;
readjusting to new optimum state, and adjusting
reScore＝mateScore*weight1+gapScore*weight2+reMateCostScore*weight3
Wherein, the remateCostScore represents the adjustment cost of the workload of the doctor; weight3 is 0.5. The specific examples are as follows: // 3 physicians in total
int [ ] sector 0 ═ {1 }; // patients with grade 1 physician;
int [ ] sector 1 ═ {2 }; // patients of grade 2 physician;
int [ ] sector 2 ═ {2 }; // patients of grade 3 physicians;
assuming that there are exactly 3 patients currently, the levels 1,2, and 3, respectively, are based on the formula: m ═ 3, N ═ 3, avg ═ 1.0; (patient ratings in parentheses)
mateScore＝0.5773502691896257,gapScore＝0.0,
score＝0.11547005383792515
// 3 physicians in total
int [ ] sector 0 ═ {1 }; // patients with grade 1 physician;
int [ ] sector 1 ═ {2 }; // patients of grade 2 physician;
int [ ] sector 2 ═ {2,3 }; // patients of grade 3 physicians;
when a third level patient is added, if the patient is placed in sector 2 (doctor level 3), then: m is 3, N is 4
avg＝1.3333333333333333
mateScore＝0.5,gapScore＝0.4714045207910317,
score1＝0.2414213562373095
// 3 physicians in total
int [ ] sector 0 ═ {1 }; // patients with grade 1 physician;
int [ ] sector 1 ═ {2,2 }; // patients of grade 2 physician;
int [ ] sector 2 ═ {3 }; // patients of grade 3 physicians;
if the doctor with the disease severity level of 2 among the three-level doctors is transferred to the doctor management level of 2, M is 3, and N is 4
avg＝1.3333333333333333
mateScore＝0.0,gapScore＝0.4714045207910317,
score2＝0.1414213562373095
From the above record, score2 is 0.1 less than score1, then it would be appropriate to transfer a grade 2 patient to doctor1 if the patient's physician were to be adjusted at this time. Meanwhile, rematecomostscore (doctor workload adjustment cost) may be set to 0.2;
// 3 physicians in total
int [ ] sector 0 ═ {1 }; // patients with grade 1 physician;
int [ ] sector 1 ═ {2 }; // patients of grade 2 physician;
int [ ] sector 2 ═ {2,3,3 }; // patients of grade 3 physicians;
assume again that when 2 patients (rank 2,3) are entered simultaneously, the new patient is placed in sector 2:
M＝3,N＝5
avg＝1.6666666666666667
mateScore＝0.4472135954999579,gapScore＝0.9428090415820634,
score＝0.3722854315746106
// 3 physicians in total
int [ ] sector 0 ═ {1 }; // patients with grade 1 physician;
int [ ] sector 1 ═ {2,2 }; // patients of grade 2 physician;
int [ ] sector 2 ═ {3,3 }; // patients of grade 3 physicians;
modified, a patient rating 2 is placed in doctor1, a patient rating 3 is returned to doctor2, M-3,
N＝5
avg＝1.6666666666666667
mateScore＝0.0,gapScore＝0.4714045207910317,
score＝0.23570226039551584
from the above record, score2 was smaller than score1 by 0.1365, demonstrating that the second arrangement is superior, while the rematepost score could be set to 0.26 if the patient physician is adjusted at this time
The above-mentioned embodiment is only a specific embodiment of the present invention, and is not meant to be a limitation of the present invention, and any simple modification and replacement thereof are within the scope of the present invention.
Claims (10)
1. The remote medical support service system for emergency rescue is characterized by comprising a field information acquisition terminal (1), a server (2) and a guidance terminal (3), wherein the field information acquisition terminal (1) is in wired or wireless connection with the guidance terminal (3) through the server (2); the on-site information acquisition terminal (1) comprises an image acquisition unit, a voice communication unit, a required medical resource input unit and a positioning unit; the guidance terminal (3) comprises an image receiving unit and a voice communication unit;
the image acquisition unit is used for acquiring the field condition, and the voice communication unit is used for the mutual communication between the field information acquisition terminal (1) and the guidance terminal (3); the positioning unit is used for positioning the wounded; the required medical resource input unit is used for inputting medical materials required by the wounded to be treated;
the server (2) comprises a doctor matching unit and a medical resource statistical unit; the doctor matching unit matches the pain information acquired by the field information acquisition terminal (1) with idle doctors treating corresponding symptoms according to doctor data; the doctor data comprises a doctor duty list and the main treatment diseases of the doctor; the medical resource counting unit is used for counting all medical resources in the disaster area, counting gaps of various resources according to the medical materials required by the wounded to be treated and input by the required medical resource input unit and sending the gaps to the rescue center;
the guidance terminal (3) is used for receiving the field condition acquired by the field information acquisition terminal (1) and the voice of field workers and guiding the field workers to perform medical guidance.
2. The emergency rescue telemedicine support service system of claim 1, wherein the guidance terminal (3) is a VR headset or VR glasses.
3. The emergency rescue telemedicine support service system according to claim 2, characterized in that the guide terminal (3) further comprises a do-not-disturb unit for setting a do-not-disturb mode when the doctor is busy, the doctor matching unit does not match any more to the doctor who opens the do-not-disturb mode; the guidance terminal (3) performs medical guidance on field workers through the voice communication unit.
4. The remote medical support system for emergency rescue according to claim 1, wherein the server (2) further comprises a statistic unit for counting the number and effect of remote recourse by doctors.
5. The emergency rescue telemedicine support service system according to claim 1, wherein the on-site information collection terminal (1) further comprises an emergency call unit for calling the ambulance for the endangered patient.
6. The remote medical support system for emergency rescue according to claim 1, wherein the site condition includes pain information of the patient, the environment and the location where the patient is located; the medical supplies comprise medical instruments, medical consumables and medicines.
7. The remote medical support system for emergency rescue according to claim 1, wherein the doctor matching unit matches the doctor and the patient as follows:
determining the level of the doctor according to the actual job title level of the doctoriWhen the doctor is the main doctor, the leveli＝1；
When the doctor is the assistant principal and subordinate doctor, the leveli2; when the doctor is the principal doctor, the leveli＝3；
Staff corresponding to the field information acquisition terminal (1) acquires patient information and determines the severity ISS of the patient based on a national trauma severity score sheet to determine the severity serious of the injury of the patientiSerious when ISS is less than or equal to 16i1 is ═ 1; when the ISS is more than 16 and less than or equal to 25, the seriousi1 is ═ 1; serious when ISS > 25i＝3；
1) First, obtain the doctor and the patientAll matching modes, and the matching index matecore of the doctor level and the patient level when each matching mode is obtained through calculation;
wherein M is the number of remote consultation doctors, and N is the number of current patients;
2) calculating the distribution evaluation index gapScore of the traditional Chinese medicine resource workload in each matching mode:
numi represents the number of patients assigned by the ith doctor;
3) the overall evaluation index score in each matching mode is calculated,
score＝mateScore*weight1+gapScore*weight2
weights weight1 and weight2 are both weights; and selecting the matching mode of the doctor and the patient with the minimum score as a final matching scheme of the doctor and the patient.
8. The emergency rescue telemedicine support service system of claim 7, wherein weight 1-0.2 and weight 2-0.3.
9. The remote medical support system for emergency rescue according to claim 7, wherein when there is a new emergency patient, the number of the new emergency patient is added to the number of the patient who has not yet received the diagnosis to obtain the current number of the patient, and then the steps 1) to 3) are performed to obtain the final matching scheme for the doctor and the patient.
10. The emergency rescue telemedicine support service system of claim 7, wherein when there is a new emergency patient, the new emergency patient is allocated to a doctor; the doctor level grade of the certain doctor is equal to the severity of the newly-increased emergency patient; and selecting the matching scheme with the smallest overall evaluation index score when at most one patient in all patients matched by the certain doctor is matched to other doctors as the final matching scheme.
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Cited By (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11138855B2 (en) | 2018-09-14 | 2021-10-05 | Avive Solutions, Inc. | Responder network |
| US11210919B2 (en) | 2018-09-14 | 2021-12-28 | Avive Solutions, Inc. | Real time defibrillator incident data |
| US11524168B2 (en) | 2016-12-19 | 2022-12-13 | Hearthero, Inc. | Self-contained, connected automated external defibrillator systems and methods of use |
| US11529526B1 (en) | 2021-12-10 | 2022-12-20 | Hearthero, Inc. | Automated external defibrillator |
| US11640755B2 (en) | 2018-09-14 | 2023-05-02 | Avive Solutions, Inc. | Real time defibrillator incident data |
| US11645899B2 (en) | 2018-09-14 | 2023-05-09 | Avive Solutions, Inc. | Responder network |
| US11869338B1 (en) | 2020-10-19 | 2024-01-09 | Avive Solutions, Inc. | User preferences in responder network responder selection |
| US11883676B2 (en) | 2020-10-14 | 2024-01-30 | Hearthero, Inc. | Automated external defibrillator systems with operation adjustment features according to temperature and methods of use |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104616093A (en) * | 2014-12-23 | 2015-05-13 | 北京航天控制仪器研究所 | Earthquake disaster rescue command and dispatch system and method |
| CN105701359A (en) * | 2016-03-01 | 2016-06-22 | 中国人民解放军第306医院 | Special accident and injury medical information collection system |
| CN106650257A (en) * | 2016-12-21 | 2017-05-10 | 深圳市易特科信息技术有限公司 | Spot diagnosis and treatment terminal for remote cure, remote diagnosis and treatment terminal for remote cure and cooperative diagnosis and treatment system |
| CN109961841A (en) * | 2019-03-28 | 2019-07-02 | 广州麦迪森在线医疗科技有限公司 | A kind of optimal doctor's matching system and method towards mobile diagnosis and treatment |
| TWM582222U (en) * | 2019-03-20 | 2019-08-11 | 社團法人台灣緊急應變管理協會 | Medical resource supply system for disaster area |
| CN111009316A (en) * | 2019-12-25 | 2020-04-14 | 福州大学 | Doctor-patient matching method based on Bayesian network |
-
2020
- 2020-04-28 CN CN202010352498.3A patent/CN111539866B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104616093A (en) * | 2014-12-23 | 2015-05-13 | 北京航天控制仪器研究所 | Earthquake disaster rescue command and dispatch system and method |
| CN105701359A (en) * | 2016-03-01 | 2016-06-22 | 中国人民解放军第306医院 | Special accident and injury medical information collection system |
| CN106650257A (en) * | 2016-12-21 | 2017-05-10 | 深圳市易特科信息技术有限公司 | Spot diagnosis and treatment terminal for remote cure, remote diagnosis and treatment terminal for remote cure and cooperative diagnosis and treatment system |
| TWM582222U (en) * | 2019-03-20 | 2019-08-11 | 社團法人台灣緊急應變管理協會 | Medical resource supply system for disaster area |
| CN109961841A (en) * | 2019-03-28 | 2019-07-02 | 广州麦迪森在线医疗科技有限公司 | A kind of optimal doctor's matching system and method towards mobile diagnosis and treatment |
| CN111009316A (en) * | 2019-12-25 | 2020-04-14 | 福州大学 | Doctor-patient matching method based on Bayesian network |
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11524168B2 (en) | 2016-12-19 | 2022-12-13 | Hearthero, Inc. | Self-contained, connected automated external defibrillator systems and methods of use |
| US11138855B2 (en) | 2018-09-14 | 2021-10-05 | Avive Solutions, Inc. | Responder network |
| US11210919B2 (en) | 2018-09-14 | 2021-12-28 | Avive Solutions, Inc. | Real time defibrillator incident data |
| US11640755B2 (en) | 2018-09-14 | 2023-05-02 | Avive Solutions, Inc. | Real time defibrillator incident data |
| US11645899B2 (en) | 2018-09-14 | 2023-05-09 | Avive Solutions, Inc. | Responder network |
| US11908299B2 (en) | 2018-09-14 | 2024-02-20 | Avive Solutions, Inc. | Real time defibrillator incident data |
| US11883676B2 (en) | 2020-10-14 | 2024-01-30 | Hearthero, Inc. | Automated external defibrillator systems with operation adjustment features according to temperature and methods of use |
| US11869338B1 (en) | 2020-10-19 | 2024-01-09 | Avive Solutions, Inc. | User preferences in responder network responder selection |
| US11529526B1 (en) | 2021-12-10 | 2022-12-20 | Hearthero, Inc. | Automated external defibrillator |
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