The present invention relates to an apparatus, device, system, and method based on cloud computing for providing pre-operative measures in an accident within a healthcare facility. More particularly, the present invention relates to the system, apparatus and method, which precisely discloses a scanning device connected with a cloud interface to display preoperative measures in an accident on its display unit.
BACKGROUND OF THE INVENTION
[002] In recent years, the medical industry has made prodigious development in patient care. At least a portion of the preoperative measures and SoPs guidelines for progress is balanced by improving the efficiency within and among organizations. At the same time, government directives and new healthcare-related laws now require the healthcare industry to look for new areas to implement while taking these measures. [003] Currently, the traditional knowledge and conventional techniques and telephonic consultation with physician or any medical expert are known ways for taking any preoperative measures in an accidental situation. As such, maintaining the logs may be also helpful, they are chances frequently handwritten, may be illegible and cannot available anytime and anywhere. In addition, due to the number of records maintained, the log registers may be large and difficult to review and/or analyze.
[004] Another problem is that the falsified record maintained and wrong knowledge applied in few accidental cases may lead to more disastrous

situation and trouble with the patient. Sometimes, these activities also takes the long time to reach the solution, which is not possible to save a life in the accident like situation. Further, the lack of knowledge of location of the closest help centre from where the accident take place and informing the same about the accident to that help centre and their medical staff are also the need of the hour, which enable the medical staff to prepare for the medical treatment of the patient on immediate arrival of the patient.
[005] Accordingly, there remains a need in the prior art for a technical convergence to make the apparatus, device, system and method compact, it is in this context that the present invention provides a system, apparatus and method based on cloud computing, having a scanning device connected with a cloud interface to display SOPs and preoperative measures in an accident on its display unit, which is implemented with the help of various image processing techniques and their several programming module by implementing AI/ML, neural networking modules, which provides SOPs for providing the preoperative measures in an accident and the information of the location of the nearest helping centre and further, informing about the same to their medical staff, the apparatus, device and system to meet the above-mentioned needs.
SUMMARY OF THE PRESENT INVENTION
[006] The present invention system based on artificial intelligence (Al)
and machine learning (ML) modules, cloud computing and implemented

with the neural network modules to refine the heuristic data with image processing techniques and its conventional method. The apparatus and system is implemented with the developed scanning device and this device can be further connected with the existing hardware and related system application or electronic devices such as Desktop computer, laptop and the like digital portable devices and able to process the designed algorithms as are known to those skilled in the art. [007] The system and method can be provided by using cloud computing and electronically over the Internet or the Virtual Private Network VPN to the user's desktop, PDA, or a digital cell, smart phone, or other devices for receiving and processing the predetermined set of data as are known to those skilled in the art.
[008] One object of the present invention is to provide an apparatus working based on cloud computing; a scanning device connected with the cloud interface to display preoperative measures in an accident on its display unit. The cloud interface includes receiving one or more images of injuries on body part of a patient and send to the computation server, generating a set of parameters and keywords to define the condition of the patient by the caretaker before arrival to the hospital / clinic, also generates the attention needs to pay by the caretaker for the patient till reaches to the hospital or nearby help centre, identifying at least one access plan based on the received user input by the nearest hospital or physician, and generating a display of the identified access plan(s) associated with the injuries including medical tests, SOPs to the caretaker on arrival of the hospital.

[009] Another object of the present invention is to provide the method, which may include generating a patient admission form that indicates all relevant details e.g. his name, age, gender, type of injury, medical test required and planning a preoperative surgery required for the patient. Provides the nearest location for the treatment in real-time for the provided images and other input parameters.
[010] Another object of the present invention, which is implemented on user device having the varied processor and hardware such as, but not limited to, the Field Programmable Gate Arrays (FPGAs), PC, Microcontroller for automatic modulation classification. [011] In this respect, before explaining at least one object of the invention in detail, it is to be understood that the invention is not limited in its application to the details of set of rules and to the arrangements of the various models set forth in the following description or illustrated in the drawings. The invention is capable of other objects and of being practiced and carried out in various ways, according to the need of that industry. Also, it is to be understood that the phraseology and terminology employed herein are for the purpose of description and should not be regarded as limiting.
[012] These together with other objects of the invention, along with the various features of novelty which characterize the invention, are pointed out with particularity in the disclosure. For a better understanding of the invention, its operating advantages and the specific objects attained by its uses, reference should be made to the accompanying drawings and

descriptive matter in which there are illustrated preferred embodiments of the invention.
BRIEF DESCRIPTION OF THE DRAWINGS
[013] The invention will be better understood and objects other than
those set forth above will become apparent when consideration is given
to the following detailed description thereof. Such description makes
reference to the annexed drawings wherein:
[014] FIG. 1 illustrates a block diagram a scanning device connected in
a cloud computing environment for an apparatus to provide preoperative
measures in an accident, in accordance with another embodiment of the
present invention;
[015] FIG. 2 illustrates a block diagram, which is showing an interaction
between the scanning device and the cloud computing based
computation server through the cloud interface, in accordance with
another embodiment of the present invention;
[016] FIG. 3 illustrates a block diagram for an apparatus based on cloud
computing to provide preoperative measures in an accident, in
accordance with another embodiment of the present invention;
[017] FIG. 4 illustrates a data flow diagram for the method based on cloud
computing to provide preoperative measures in an accident, in
accordance with another embodiment of the present invention;
[018] FIG. 5 illustrates a block diagram of a computation server based on
cloud computing for an apparatus to provide preoperative measures in

an accident, in accordance with another embodiment of the present invention; and
[019] FIG. 6 illustrates a method for an apparatus based on cloud computing to provide preoperative measures in an accident, in accordance with another embodiment of the present invention.
DETAILED DESCRIPTION OF THE INVENTION [020] While the present invention is described herein by way of example using embodiments and illustrative drawings, those skilled in the art will recognize that the invention is not limited to the embodiments of drawing or drawings described and are not intended to represent the scale of the various components. Further, some components that may form a part of the invention may not be illustrated in certain figures, for ease of illustration, and such omissions do not limit the embodiments outlined in any way. It should be understood that the drawings and detailed description thereto are not intended to limit the invention to the particular form disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the scope of the present invention as defined by the appended claims. As used throughout this description, the word "may" is used in a permissive sense (i.e. meaning having the potential to), rather than the mandatory sense, (i.e. meaning must). Further, the words "a" or "an" mean "at least one" and the word "plurality" means "one or more" unless otherwise mentioned. Furthermore, the terminology and phraseology used herein is solely used for descriptive purposes and should not be construed as limiting in scope.

Language such as "including," "comprising," "having," "containing," or "involving," and variations thereof, is intended to be broad and encompass the subject matter listed thereafter, equivalents, and additional subject matter not recited, and is not intended to exclude other additives, components, integers or steps. Likewise, the term "comprising" is considered synonymous with the terms "including" or "containing" for applicable legal purposes. Any discussion of documents, acts, materials, devices, articles and the like is included in the specification solely for the purpose of providing a context for the present invention. It is not suggested or represented that any or all of these matters form part of the prior art base or were common general knowledge in the field relevant to the present invention.
[021] In this disclosure, whenever a composition or an element or a group of elements is preceded with the transitional phrase "comprising", it is understood that we also contemplate the same composition, element or group of elements with transitional phrases "consisting of", "consisting", "selected from the group of consisting of, "including", or "is" preceding the recitation of the composition, element or group of elements and vice versa.
[022] The present invention is described hereinafter by various embodiments with reference to the accompanying drawings, wherein reference numerals used in the accompanying drawing correspond to the like elements throughout the description. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiment set forth herein. Rather, the embodiment is

provided so that this disclosure will be thorough and complete and will fully convey the scope of the invention to those skilled in the art. In the following detailed description, numeric values and ranges are provided for various aspects of the implementations described. These values and ranges are to be treated as examples only and are not intended to limit the scope of the claims. In addition, a number of materials are identified as suitable for various facets of the implementations. These materials are to be treated as exemplary and are not intended to limit the scope of the invention.
[023] FIG. 1 illustrates an apparatus based on cloud computing to provide preoperative measures in an accident. The apparatus, system and method is preferably implemented by using artificial intelligence and machine learning modules, and implemented with a neural networking and image processing techniques. As shown in FIGS. 2 & 3, the system comprises, but not limited to, a scanning device to take a plurality of images of body injuries showing a region of body of a patient and processing these images by the way of image processing techniques to further elaborating the level of body injury as shown in Fig. 1; a cloud interface to connect with a computation server for comparing and performing analytics to generate standard of procedures (SOPs) to a caretaker before reaching to any nearby helping centre or hospital. [024] In accordance with another embodiment of the present invention, the computation server based on cloud computing is configured with an artificial intelligence and machine learning module, and implemented with a neural networking modules to perform the analytics to generate

preoperative measures and standard of procedures (SOPs) in conjunction with the previously stored information on a database. [025] In accordance with another embodiment of the present invention, the cloud interface connects the scanning device and the central authority systems according to the location and closest helping centre to the accident happened. Further, a patient location identifier is provided with one or more central authority systems to track the timing of arrival of the patient.
[026] In accordance with another embodiment of the present invention, the scanning device is configured to connect with the cloud interface, the computation server and the central authority systems. The central authority system is having a graphic user interface to generate a patient admission form on receiving input from scanning device that indicates all relevant personal and accidental details, required and planning a preoperative surgery arrangements for the patient. [027] In accordance with another embodiment of the present invention, the scanning device is a medical device that also stores basic preoperative measures and SOPs for various accidental situations on its local memory of the scanning device without any cloud interface and the computation server connectivity. The various accidental situations includes cardiac arrest, burning, motor vehicle accidental and other general accidental situations.
[028] In accordance with another embodiment of the present invention, the scanning device is configured with a GPS module to provide location to the all connected entities, i.e. the cloud interface, the computation

server and the central authority systems. Further, the scanning device is also having the graphic user interface to enter the desired details about the accidental injuries and patient.
[029] The word "module," as used herein, refers to logic embodied in hardware or firmware, or to a collection of software instructions, written in a programming language, such as, for example, Java, C, Perl, Python or assembly. One or more software instructions in the modules may be embedded in firmware, such as an EPROM. It will be appreciated that modules may comprised connected logic units, such as gates and flip-flops, and may comprise programmable units, such as programmable gate arrays or processors. The modules described herein may be implemented as either software and/or hardware modules and may be stored in any type of computer-readable medium or other computer storage device. Further, in various embodiments, the processor is one of, but not limited to, a general-purpose processor, an application specific integrated circuit (ASIC) and a field-programmable gate array (FPGA) processor. Furthermore, the data repository may be a cloud-based storage or a hard disk drive (HDD), Solid state drive (SSD), flash drive, ROM or any other data storage means.
Best mode and working of the system and method with its various steps to enable a person ordinarily skilled in the art of the present invention as given:
[030] In accordance with another exemplary embodiment of the present invention, the method as shown in FIG. 6, which is based on AI/ML modules and neural networking and image processing techniques to

refine the required information and SOPs for the particular accidental situation, wherein a scanning device is connected with a cloud interface to display preoperative measures in an accident on its display unit. The cloud interface includes receiving one or more images of injuries on body part of a patient and send to the computation server, generating a set of parameters and keywords to define the condition of the patient by the caretaker before arrival to the hospital / clinic, also generates the attention needs to pay by the caretaker for the patient till reaches to the hospital or nearby help centre, identifying at least one access plan based on the received user input by the nearest hospital or physician, and generating a display of the identified access plan(s) associated with the injuries including medical tests, SOPs to the caretaker on arrival of the hospital.
[031] Another object of the present invention is to provide the method, which may include generating a patient admission form that indicates all relevant details e.g. his name, age, gender, type of injury, medical test required and planning a preoperative surgery required for the patient. Provides the nearest location for the treatment in real-time for the provided images and other input parameters.
[032] Referring to FIG. 5 provides a block diagram of various exemplary hardware module for implementing embodiments consistent with the present disclosure. Variations of the hardware for the image processing device, digital device such as laptop, tablet and the like may be used for implementing the method for screening of medical equipment. The system can be comprised of a central processing unit ("CPU" or

"processor"). The processor may comprise at least one data processor for executing program components for executing user or system-generated requests. A user may include a person, a person using a device such as such as those included in this disclosure, or such a device itself. The processor may include specialized processing units such as Field Programmable Gate Arrays FPGA, integrated system (bus) controllers, memory management control units, floating point units, graphics processing units, digital signal processing units, etc. The processor may include a microprocessor, such as AMD Athlon, Duron or Opteron, ARM'S application, embedded or secure processors, IBM PowerPC, Intel's Core, Itanium, Xeon, Celeron or other line of processors, etc. The processor may be implemented using mainframe, distributed processor, multi-core, parallel, grid, or other architectures. Some embodiments may utilize embedded technologies like application-specific integrated circuits (ASICs), digital signal processors (DSPs), Field Programmable Gate Arrays (FPGAs), etc.
[033] The processor may be disposed in communication with one or more input/output (I/O) devices via I/O interface. The I/O interface may employ communication protocols/methods such as, without limitation, audio, analog, digital, monoaural, RCA, stereo, IEEE-1394, serial bus, universal serial bus (USB), infrared, PS/2, BNC, coaxial, component, composite, digital visual interface (DVI), high-definition multimedia interface (HDMI), RF antennas, S-Video, VGA, IEEE 802.n /b/g/n/x, Bluetooth, cellular (e.g., code-division multiple access (CDMA), high-speed packet access

(HSPA+), global system for mobile communications (GSM), long-term evolution (LTE), WiMax, or the like), etc.
[034] In some embodiments, the processor may be disposed in communication with one or more memory devices (e.g., RAM, ROM, etc.) via a storage interface. The storage interface may connect to memory devices including, without limitation, memory drives, removable disc drives, etc., employing connection protocols such as serial advanced technology attachment (SATA), integrated drive electronics (IDE), IEEE-1394, universal serial bus (USB), fiber channel, small computer systems interface (SCSI), etc. The memory drives may further include a drum, magnetic disc drive, magneto-optical drive, optical drive, redundant array of independent discs (RAID), solid-state memory devices, solid-state drives, etc. The memory devices may store a collection of program or database components, including, without limitation, an operating system, user interface application, web browser, mail server, mail client, user/application data(e.g., any data variables or data records discussed in this disclosure), etc. The operating system may facilitate resource management and operation of the computer system. Examples of operating systems include, without limitation, Apple Macintosh OS X, Unix, Unix-like system distributions (e.g., Berkeley Software Distribution (BSD), FreeBSD, NetBSD, OpenBSD, etc.), Linux distributions (e.g., Red Hat, Ubuntu, Kubuntu, etc.), IBM OS/2, Microsoft Windows (XP, Vista/7/8, etc.), Apple iOS, Google Android, Blackberry OS, or the like. [035] The above-mentioned invention is provided with the preciseness in its real-world applications to benefit the entities says for example the

caretaker doesn't require to rush and need to spare his critical time about describe the basic details for the patient to make Patient Admission form and also about the accident to the physician as the physician is already get details and images of the injuries and other related data by the caretaker through the cloud interface and just start the procedure on arrival. The physician on receiving the information from the apparatus about the patient condition through cloud interface, immediately, prepare treatment plan and reserve the area or operation theatre to perform the procedures as the extreme emergency is required to tackle the position. [036] It is to be understood that the above description is intended to be illustrative, and not restrictive. For example, the above-discussed embodiments may be used in combination with each other. Many other embodiments will be apparent to those of skill in the art upon reviewing the above description.
[037] The benefits and advantages which may be provided by the present invention have been described above with regard to specific embodiments. These benefits and advantages, and any elements or limitations that may cause them to occur or to become more pronounced are not to be construed as critical, required, or essential features of any or all of the embodiments.
[038] While the present invention has been described with reference to particular embodiments, it should be understood that the embodiments are illustrative and that the scope of the invention is not limited to these embodiments. Many variations, modifications, additions and improvements to the embodiments described above are possible. It is

contemplated that these variations, modifications, additions and improvements fall within the scope of the invention.

We Claim:
1. An apparatus working based on cloud computing to provide preoperative
measures in an accident, comprising:
a scanning device to take a plurality of images of body injuries showing a region
of body of a patient and processing these images by the way of image
processing techniques to further elaborating the level of body injury;
a cloud interface to connect with a computation server for comparing and
performing analytics to generate standard of procedures (SOPs) to a caretaker
before reaching to any nearby helping centre or hospital;
wherein the computation server is configured with an artificial intelligence and
machine learning module, and implemented with a neural networking modules
to perform the analytics to generate preoperative measures and standard of
procedures (SOPs) in conjunction with the previously stored information on a
database; and
a patient location identifier provided to one or more central authority systems to
track the timing of arrival of the patient; and
wherein the cloud interface connects the scanning device and the central
authority systems according to the location and closest helping centre to the
accident happened.
2. The apparatus as claimed in claim 1, wherein the scanning device is connected with the cloud interface, the computation server and the central authority systems.
3. The apparatus as claimed in claim 1, wherein the central authority system is having a graphic user interface to generate a patient admission form on receiving input from scanning device that indicates all relevant personal and

accidental details, required and planning a preoperative surgery arrangements for the patient.
4. The apparatus as claimed in claim 1, wherein the scanning device is a medical device that also stores basic preoperative measures and SOPs for various accidental situations on its local memory of the scanning device without any cloud interface and the computation server connectivity.
5. The apparatus as claimed in claim 4, wherein the various accidental situations includes cardiac arrest, burning, motor vehicle accidental and other general accidental situations.
6. The apparatus as claimed in claim 1, wherein the scanning device is configured with a GPS module to provide location to the all connected entities vis-a-vis the cloud interface, the computation server and the central authority systems.
7. The apparatus as claimed in claim 1, wherein the scanning device is also having the graphic user interface to enter the desired details about the accidental injuries and patient.