WO2023111626A1

WO2023111626A1 - Multimodal learning framework for recommending greenhouse gas optimization strategies based on healthcare activity, system, method, and computer program product

Info

Publication number: WO2023111626A1
Application number: PCT/IB2021/061662
Authority: WO
Inventors: Mohanasankar SIVAPRAKASAM; Keerthi Ram S.S
Original assignee: Indian Institute Of Technology Madras
Priority date: 2021-12-13
Filing date: 2021-12-13
Publication date: 2023-06-22

Abstract

The present disclosure relates to a multimodal system 100 for recommending optimization strategies for greenhouse gas contains a plurality of healthcare center 102, a data repository unit 104, an information processing unit 106, an analyzing unit 108, a recommendation unit 110, a report preparation unit 112, a live resource availability unit 114, and a site matching unit 116. The present disclosure also relates to a method for recommending greenhouse gas optimization thereof.

Description

MULTIMODAL LEARNING FRAMEWORK FOR RECOMMENDING GREENHOUSE GAS OPTIMIZATION STRATEGIES BASED ON HEALTHCARE ACTIVITY, SYSTEM, METHOD, AND COMPUTER PROGRAM PRODUCT

TECHNICAL FIELD

The present aspect relates to information processing and more particularly to information processing of administrative data records and emission data from sensors in a healthcare provider setup for predictive analytics.

BACKGROUND

Healthcare facilities operate continuously and require energy-intensive interior climate and ventilation control, related to safety and comfort of patients and staff.

It has been reported that healthcare’s climate footprint is equivalent to 4.4% of global net greenhouse gas emissions (GHG) (2 gigatons of CO2e). In the US, about 6000 hospitals are responsible for 10% of the country’s GHG emissions. In India, a study of 140 multi-specialty hospitals found average consumption per unit area to be 378.kWh/m2, among the most energy-intensive commercial sectors of the country. A low-carbon development path for health systems and ultimately a transition to net- zero emissions is essential for health care facilities to meet the goal of the Paris Agreement of maintaining global warming below 2.0 °C.

Low-carbon health facilities are more cost-effective to run, more productive and improve access to health care, especially in energy-poor settings.

Tertiary care centers aggregate individual specialties providing care through specialists after referral from primary care and secondary care, which enables multiple levels of efficiency. Specialist healthcare practitioners would be pooled at the same site, enabling sharing of expertise and workloads. The resource needs of individual specialties would be standardized and can be anticipated, planned and procured more uniformly. Streamlining patient access and navigation of the facility, resource utilization, inventory, logistics, can all be managed more uniformly in tertiary care facilities. Examples of tertiary care centers may include, e.g., but not limited to, general medicine, gynecology, pediatrics, obstetrics, psychiatry, surgery, intensive care, oncology, perinatology, neonatology, radiology, PET scans, organ transplantation, trauma surgery, chemotherapy, growth disorders, neurology, neurosurgery, internal medicine, orthopedics, and poisoning.

From a patient profile perspective, there are expected to be varying degrees of severity, but falling within the specialty, and therefore uniform. Patient-level or procedure level optimization in the tertiary care center wouldn’t be focused therefore on profiling of needs and consumption, but on processes and operations.

Therefore, there is a need to develop a system to identify the carbon emitting hotspots and need to reduce the carbon emission by process optimization.

SUMMARY

In one aspect of the invention, a multimodal learning framework system 100 for recommending greenhouse gas optimization is provided

The system 100 contains a data repository unit 104 communicates with a plurality of healthcare centers 102 and receives a plurality of input data, an electronic information processing unit 106, that communicates with data repository unit 106 and receives the plurality of input data from the plurality of hospitals, a live resource availability unit 114, that communicates with the electronic information processing unit 106 and the plurality of healthcare centers in real-time, and receives an availability of resource data across the plurality of hospitals, an analyzing unit 108, that communicates with the electronic information processing unit 106 and the live resource availability data unit 114 and analyzes based on the availability of resource data received from the live resource availability unit 114 and historic data from the data repository unit 104 through the electronic information processing unit 106 to obtain analyzed data, a recommendation unit 110, that communicates with the analyzing unit 108 and recommends a strategy to optimize greenhouse gas utilization based on the analyzed data from the analyzing unit 108, a report preparation unit 112, that communicates with the recommendation unit 110 and generates a report based on a recommended data received from the recommendation unit 110, and further communicates with a user and a site matching unit 116, that communicates with the electronic information processing unit 106 and predicts an anticipated failure, service, maintenance requirement, refill, or replacement, in a parallel fashion, or in serial fashion, to suggest corrective or suggestive measures to the plurality of healthcare centers 102. The plurality of hospital is selected from a group comprising a primary health care, a secondary health care, a tertiary heath care, a multi- specialty hospital, Specialty Hospitals, General Medical & Surgical Hospitals, Clinics, Teaching Hospitals, Psychiatric Hospitals, Clinics for Family Planning and Abortion, Hospices & Palliative Care Centers, Centers for Emergency and Other Outpatient Care, Clinics for Sleep Disorders, Blood & Organ Banks, Dental Laboratories, Women's hospitals, Children's hospitals, Cardiac hospitals, Oncology hospitals, Psychiatric hospitals, Trauma centers, or Cancer treatment centers. The plurality of data is selected from a group comprising a patient’s transaction data, a clinician’s transaction data, a resource availability data, an emission data, a co-ordinate care data, patient’s transaction details, billing details, medication history, hospitalized history, pharmacy history, surgery history, diagnosis history, treatment history, health history or fitness history, patient’s profile, drug database, hospital resource data, patient’s database, Clinician’s database, treatment database, diagnosis database, surgery database, medication database, pharmacy database, other management database, emission of a patient, emission of a clinician, emission data of a treatment, emission data of a diagnosis, emission data of a medication, emission data of a medical service, emission data of an emergency vehicle, emission of a respective department, emission of a floor, emission data of a building, emission data of a hospital data, emission data of a city, emission data of a territory, or emission data of a country. The data repository unit 104 is a storage device and is selected from a group comprising a cloud storage a flash storage, a memory storage device, a disk storage, a magnetic storage device, an optical storage device, a magneto-optical storage device, or a server storage. The analyzing unit 108 generates a patient’s journey and predicted analysis of anticipated events. The analyzing unit 108 accumulates the analyzed data on periodic basis to provide on-demand predictive analysis. The recommendation unit 110 highlights an optimal care pathway by cost, length of treatment or treatment effort involved. The recommendation unit 110 recommends an alternative pathway to reduce greenhouse gas emission. The live resource availability unit 114, that communicates with the electronic information processing unit 106 and the plurality of healthcare centers in batch and receives an availability of resource data across the plurality of healthcare centers periodically. The live resource availability unit 114 that communicates continuously and communicates in one or more of: upon receipt of change in electronic sensor readings, real-time, near real-time, Periodically, aperiodically, timestamped batch mode, or automatically.

In another aspect of the invention, a method 200 for recommending greenhouse gas optimization is provided.

The method 200 involves collecting 202 a plurality of input data from a networked healthcare centers 102, receiving 204 the data collected from the data repository unit 104, an electronic information processing unit 106 communicates with a live resource availability data unit 114 that maintains information on current utilization and occupancy across the networked healthcare centers or the plurality of healthcare centers 102, comparing 206 a live resource data from the live resource availability data unit 114 with an historic data to map the greenhouse gas emission rate by the analyzing unit 108, predicting 208 an anticipated failure, service, maintenance requirement, refill, or replacement, in parallel or in serial, to suggest corrective or suggestive measures by the electronic information processing unit 106 and further communicates with a site matching unit 116 to equip downtimes and schedule services to the networked healthcare centers 102, recommending 210 an optimization strategy to reduce greenhouse gas emission by a recommendation unit 110, and preparing 212 a report based on analyzed data from recommendation unit 110, by a report preparation unit 112.

BRIEF DESCRIPTION OF DRAWINGS The drawing/s mentioned herein disclose exemplary aspects of the claimed invention. Other objects, features, and advantages of the present invention will be apparent from the following description when read with reference to the accompanying drawing.

Figure 1 illustrates a block diagram of a multimodal system 100, according to one aspect herein;

Figure 2 illustrates a flowchart that depicts working of the multimodal system 100 of Figure 1, according to another aspect herein; and

Figure. 3 depicts a schematic illustration of an example communications and/or computing system 300 implemented according to an exemplary aspect herein.

To facilitate understanding, like reference numerals have been used, where possible to designate like elements common to the figures.

DETAILED DESCRIPTION OF PREFERRED ASPECTS

This section is intended to provide explanation and description of various possible aspects of the present invention. The aspects used herein, and the various features and advantageous details thereof are explained more fully with reference to nonlimiting aspects illustrated in the accompanying drawing/s and detailed in the following description. The examples used herein are intended only to facilitate understanding of ways in which the aspects may be practiced and to enable the person skilled in the art to practice the aspects used herein. Also, the examples/aspects described herein should not be construed as limiting the scope of the aspects herein.

As mentioned, there is a need for the development of a system to assess performance of individual clinician’s and patient’s journey observe patterns in utilization, outcomes, cost and viable substitutes. The aspect herein overcomes the limitation by providing a system to assess utilization of resources in patient’s and clinician’s granular level. The aspect also provides a machine learning unit for activity-based carbon foot print analysis and prediction in a healthcare provider facility. The term “multimodal system 100” and “system 100” and other such terms indicate a system for carbon footprint prediction and are used interchangeably.

The term “plurality of healthcare centers 102” and “networked healthcare centers 102” are interchangeably used across the context.

The term “electronic information processing unit 106” and “information processing unit 106” are interchangeably used across the context.

The term “healthcare facility” and “hospitals” refers to healthcare centers and are interchangeably used across the context.

The term “resource data” means the utilization of resources data e.g. Patient’s resource utilization data, clinician’s resource utilization data, computational/energy using resources, emissions generating resources, or electronic equipment, etc.

The term “patient’s journey” means the historic events of a patient.

Figure 1 illustrates a block diagram of a multimodal system 100, according to one aspect herein.

The multimodal system 100 for recommending optimization strategies for greenhouse gas contains a plurality of healthcare centers 102, a data repository unit 104, an information processing unit 106, an analyzing unit 108, a recommendation unit 110, a report preparation unit 112, a live resource availability unit 114, and a site matching unit 116.

The data repository unit 104 receives a plurality of input data from the plurality of healthcare centers 102. In an aspect, the plurality of healthcare centers 102 contains, but not limited to, a primary care hospital, a secondary care hospital, a tertiary care hospital. In an aspect, the plurality of input data contains, not limited to, a patient’s transaction data, a clinician’s transaction data, a resource availability data, an emission data, a co-ordinate care data. In another aspect, the patient’s transaction data includes, not limited to, patient’s transaction details, billing details, medication history, hospitalized history, pharmacy history, surgery history, diagnosis history, treatment history, consumables and drugs, service rendered, health history or fitness history. In another aspect, the patient’s transaction details are collected by a wearables and non-wearable electric devices. In another aspect, the clinician’s transaction data includes, not limited to, patient’s database, patient’s profile or drug database. In another aspect resource availability data includes, not limited to, hospital resource data, patient’s database, Clinician’s database, treatment database, diagnosis database, surgery database, medication database, pharmacy database, or other management database. In another aspect, the emission data includes, not limited to, emission of a patient, emission of a clinician, emission data of a treatment, emission data of a diagnosis, emission data of a medication, emission data of a medical service, emission data of an emergency vehicle, emission of a respective department, emission of a floor, emission data of a building, emission data of a hospital data, emission data of a city, emission data of a territory or emission data of a country. In an aspect, the data repository unit 104 is a storage device. In another aspect, the storage is a cloud storage. In another aspect, the storage is a flash storage. In another aspect, the storage is a disk storage. In another aspect, the storage is a server storage.

The information processing unit 106 communicates with the data repository unit 104 to collect an information that is collected from the plurality of hospital 102. In an aspect, the information processing unit 106 interacts with an operational data store of equipment to track preventive maintenance schedule, efficiency of appliances and device, energy ratings and frequency of utilization.

The information processing unit 106 also communicates with the live resource availability data unit 114 that maintains information on current utilization and occupancy across the networked healthcare centers or the plurality of healthcare centers 102. In an aspect the live resource availability data unit 114 monitors a plurality of data in real time. In another aspect, the plurality of input data contains, but not limited to, a patient’s transaction data, a clinician’s transaction data, a resource availability data, an emission data, a co-ordinate care data. In another aspect, the patient’s transaction data includes, not limited to, patient’s transaction details, billing details, medication history, hospitalized history, pharmacy history, surgery history, diagnosis history, treatment history, consumables and drugs, service rendered, health history or fitness history. In another aspect, the patient’s transaction details are collected by a wearables and non- wearable electric devices. In another aspect, the clinician’s transaction data includes, not limited to, patient’s database, patient’s profile or drug database. In another aspect resource availability data includes, not limited to, hospital resource data, patient’s database, Clinician’s database, treatment database, diagnosis database, surgery database, medication database, pharmacy database, or other management database. In another aspect, the emission data includes, not limited to, emission of a patient, emission of a clinician, emission data of a treatment, emission data of a diagnosis, emission data of a medication, emission data of a medical service, emission data of an emergency vehicle, emission of a respective department, emission of a floor, emission data of a building, emission data of a hospital data, emission data of a city, emission data of a territory or emission data of a country. In an aspect, the live resource availability data unit 114 optimize a resource utilization at individual sites, understand an extent and duration of admitted patients in real-time, anticipated needs, and carbon footprints of processes, equipment and operational efficiency. In an aspect, the live resource availability data unit 114 is a cloud storage. In an aspect, the live resource availability data unit 114 is a flash storage. In an aspect, the live resource availability data unit 114 is a disk storage. In an aspect, the live resource availability data unit 114 is a server storage.

The information processing unit 106 predicts to anticipate failures, service and maintenance requirements, refills and replacements to suggest corrective and suggestive measures. The information processing unit further communicates with the site matching unit 116 to equip downtimes and schedule services to the plurality of healthcare centers 102.

The analyzing unit 108 analyze the input data received from the information processing unit 106 by comparing with an historic data that is stored in the data repository unit 104 via the information processing unit and identifies the hotspot that emits more greenhouse gas. In an aspect, the historic data is stored in an auxiliary storage. In another aspect, the auxiliary storage is a cloud storage. In another aspect, the auxiliary storage is a flash storage. In another aspect, the auxiliary storage is a disk storage. The analyzing unit 108 also identifies a systematic issues that are seen to cause deviations from regular patterns and standards across the plurality of healthcare centers 102.

The analyzing unit 108 further communicates an analyzed data to the recommendation unit 110. The recommendation unit 108 recommends an optimization strategies based on the analyzed data received from the analyzing unit 108 with respect to reduction in greenhouse gas emission.

The recommendation unit further communicates with the report preparation unit 112 to initiate a report based on the analyzed data received from analyzing unit 108.

In an aspect, the system 100 also generates a patient’s journey and predicted analysis of anticipated events. In an aspect, the system 100 accumulate the dataper- day basis to provide on-demand predictive analysis.

In an aspect, a patient journey represents an entire sequence of events that a patient experiences within a given healthcare system or across providers, from scheduling an appointment for a regular checkup to receiving treatment for an illness or injury. The patient journey is an ongoing process that incorporates all parts of the healthcare ecosystem, from, e.g., but not limited to, hospitals to physicians, to specialty care, and to outpatient therapy.

In an aspect, the system 100 analyze an environmental footprint of individual clinical procedures. In an aspect, the system 100 filters for highlighting optimal care pathways by cost, length of treatment or treatment effort involved. In an aspect, the optimal care pathways (OCPs) are national guides that describe the best possible care for patients with different types of medical conditions.

In an aspect, the system 100 recommends an alternative pathway to reduce greenhouse gas emission. In an aspect, the system 100 identifies a suitable site based on the query raised by a patient in order to deliver a capability to handle the patient.

Figure 2 illustrates a flowchart that depicts working of the system 100 of Figure 1, according to another aspect herein. The method 200 for providing an optimization strategies for greenhouse gas reduction is provided.

At step 202, a plurality of input data is received from a plurality of healthcare centers 102 that contains patient's transaction data, clinician's transaction data, resource availability and emission data by data repository unit 104. In an aspect, the plurality of healthcare centers 102 contains, not limited to, a primary care hospital, a secondary care hospitals, a tertiary care hospital. In an aspect, a plurality of input data contains, not limited to, a patient’s transaction data, a clinician’s transaction data, a resource availability data, an emission data, a co-ordinate care data. In another aspect, the patient’s transaction data includes, not limited to, patient’s transaction details, billing details, medication history, hospitalized history, pharmacy history, surgery history, diagnosis history, treatment history, consumables and drugs, service rendered, health history or fitness history. In another aspect, the patient’s transaction details are collected by a wearables and non- wearable electric devices. In another aspect, the clinician’s transaction data includes, not limited to, patient’s database, patient’s profile or drug database. In another aspect resource availability data includes, not limited to, hospital resource data, patient’s database, Clinician’s database, treatment database, diagnosis database, surgery database, medication database, pharmacy database, or other management database. In another aspect, the emission data includes, not limited to, emission of a patient, emission of a clinician, emission data of a treatment, emission data of a diagnosis, emission data of a medication, emission data of a medical service, emission data of an emergency vehicle, emission of a respective department, emission of a floor, emission data of a building, emission data of a hospital data, emission data of a city, emission data of a territory or emission data of a country. In an aspect, the data repository unit 104 is a storage device. In another aspect, the storage is a cloud storage, server storage, or a network accessible storage device. In another aspect, the storage is a flash storage or other memory storage device. In another aspect, the storage is a disk storage or other magnetic, optical, or magneto-optical storage device.

At step 204, the information unit 106 receives the plurality of input data that is collected from the data repository unit 104 and communicates with a live resource availability data unit 114 that maintains information on current utilization and occupancy across the networked healthcare centers or the plurality of healthcare centers 102.

At step 206, the analyzing unit 108 compares a live resource data obtained from the live resource availability data unit 114 with an historic data obtained from the data repository unit 104 through information processing unit 106 and map the greenhouse gas emission rate.

At step 208, the information processing unit 106 predicts an anticipate failures, service and maintenance requirements, refills and replacements parallelly to suggest corrective and suggestive measures and further communicates with the site matching unit 116 to equip downtimes and schedule services to the plurality of healthcare centers 102.

At step 210, an optimization strategy is recommended to reduce greenhouse gas emission by a recommendation unit 110.

At step 212, a report is prepared based on the analyzed data from recommendation unit 110 by report preparation unit 112 and communicates with a user. In an aspect, the display unit 130 communicates the user by a phone call. In an aspect, the display unit 130 communicates the user by a text message. In an aspect, the display unit 130 communicates the user by an email. In an aspect, the display unit 130 communicates with the user by an Interactive Voice Response.

Figure 3 illustrates a computer system 300 in a plurality of devices illustrated in Figure 1, according to another aspect herein.

In an aspect, figure 3 depicts a schematic illustration of an example communications and/or computing system 300 implemented according to an exemplary aspect. The system 300 includes at least one processing element 310. In an aspect, the processing element is a central processing unit (CPU). According to an exemplary aspect, the CPU is coupled via a bus 305 to a memory 320. The memory 320 includes, in an exemplary aspect, a memory portion 322 that can contain instructions that when executed by the processing element 310 can perform the methods described in more detail herein. The memory 320 may be further used, according to an exemplary aspect, as a temporary storage element for the processing element 310, and/or other uses, as the case may be. The memory may comprise, in an exemplary aspect, volatile memory such as, e.g., but not limited to, a randomaccess memory (RAM), and/or a non-volatile memory (NVM), such as, e.g., but not limited to, Flash memory, etc., according to an exemplary aspect. Memory 320 may further include, in an exemplary aspect, a memory portion 324 containing an application program and/or application data, etc., according to an exemplary aspect. The processing element 310 may be coupled to an input 350, in one exemplary aspect. The processing element 310 may be further coupled with a database 330 and/or other storage device 330, according to an exemplary aspect. Database system and/or storage device 330, in an example aspect, can be used for the purpose of holding a copy of the method executed in accordance with the disclosed technique, according to an exemplary aspect. Database 330 may further include, e.g., but may not be limited to, a storage portion 334, which may include and/or contain subportions of an application, and/or data referenced by the application, in an exemplary aspect. In one aspect, the promotion system can be configured to execute the methods described herein with respect of the remaining figures, according to an exemplary aspect. The exemplary method, system, and/or computer program products, may be hardwired or, presented as a series of programmable instructions to be executed by the processing element 310. The principles disclosed herein can be implemented as hardware, firmware, software or any combination thereof. Moreover, the software can be implemented as an application program tangibly embodied on a program storage unit or computer readable medium. The application program may be uploaded to, and/or be executed by, a machine comprising any suitable architecture, according to an exemplary aspect. The machine may be implemented on a computer platform 300 having hardware such as, e.g., but not limited to, a processing unit (“CPU”) 310, a memory 320, and/or input interfaces 350, output interfaces (not shown), as well as other components not shown for simplicity, but as would be well known to those skilled in the relevant art, according to an exemplary aspect. The computer platform may also include, in an exemplary aspect, an operating system and/or microinstruction code. The various processes and/or functions described herein may be either part of the microinstruction code and/or part of the application program, and/or any combination thereof, which may be executed by a CPU 310, whether or not such computer and/or processor is explicitly shown, according to an exemplary aspect. In addition, various other peripheral units may be connected, and/or coupled, to the computer platform such as, e.g., but not limited to, an additional memory unit 326 and/or removable memory unit 326, an additional data storage unit 336 and/or removable storage unit 336, and a printing unit, and/or display unit, and/or other input 350, output 360, communication 370 and/or networking components 370, etc., according to an exemplary aspect.

References to “one aspect,” “an aspect,” “example aspect,” “various aspects,” “exemplary aspect,” “exemplary aspects,” etc., may indicate that the aspect(s) so described may include a particular feature, structure, or characteristic, but not every aspect necessarily includes the particular feature, structure, or characteristic. Further, repeated use of the phrase “in one aspect,” or “in an exemplary aspect,” do not necessarily refer to the same aspect, although they may.

In the following description and claims, the terms “coupled” and “connected,” along with their derivatives, may be used, according to an exemplary aspect. It should be understood that these terms are not intended as synonyms for each other. Rather, in particular aspects, “connected” may be used to indicate that two or more elements are in direct or indirect physical or electrical contact with each other, according to an exemplary aspect. “Coupled” may mean that two or more elements are in direct physical or electrical contact, according to an exemplary aspect. However, “coupled” may also mean that two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other, according to an exemplary aspect.

An algorithm is here, and generally, considered to be a self-consistent sequence of acts or operations leading to a desired result, according to an exemplary aspect. These include physical manipulations of physical quantities. Usually, though not necessarily, these quantities take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated, according to an exemplary aspect. It has proven convenient at times, principally for reasons of common usage, to refer to these non-transitory signals as bits, values, elements, symbols, characters, terms, numbers or the like, according to an exemplary aspect. It should be understood, however, that all of these and similar terms are to be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities, according to an exemplary aspect.

Unless specifically stated otherwise, as apparent from the following discussions, it is appreciated that throughout the specification discussions utilizing terms such as “processing,” “computing,” “calculating,” “determining,” or the like, refer to the action and/or processes of a computer or computing system, or similar electronic computing device, that manipulate and/or transform data represented as physical, such as electronic, quantities within the computing system's registers and/or memories into other data similarly represented as physical quantities within the computing system's memories, registers or other such information storage, transmission or display devices, according to an exemplary aspect.

In a similar manner, the term “processor” can refer to any device or portion of a device that processes electronic data from registers and/or memory to transform that electronic data into other electronic data that can be stored in registers and/or memory, according to an exemplary aspect. A “computing platform” can comprise one or more processors, according to an exemplary aspect. In one aspect, a processor can include an embedded processor, and/or another subsystem processor, and/or a system on a chip (SOC), device, according to an exemplary aspect.

Aspects may include apparatuses for performing the operations herein, according to an exemplary aspect. An apparatus may be specially constructed for the desired purposes, or it may comprise a general purpose and/or special purpose device selectively activated or reconfigured by a program stored in the device, according to an exemplary aspect.

Computer programs (also called computer control logic), may include computer application programs, and can include object-oriented computer programs, and can be stored in memory 320, and/or secondary memory, such as, e.g., storage 320, 322, 324, 326, 330, 334, 336 and/or removable memory and/or storage units 326, 336, also called computer program products, according to an exemplary aspect. Such computer programs, when executed, may enable the computer system 300 to perform the features as discussed herein. In particular, the computer programs, when executed, may enable the processor 310 to provide various functionality to the system 300 so as perform certain functions, according to an exemplary aspect. Accordingly, such computer programs may represent controllers of the computer system 300, according to an exemplary aspect.

In another exemplary aspect, the methods may be directed to a computer program product comprising a computer readable medium having control logic (computer software) stored therein. The control logic, when executed by the processor 310, may cause the processor 310 to perform features as described herein, according to an exemplary aspect. In another exemplary aspect which can be implemented using software, the software can be stored in a computer program product 336, 326, and can be loaded into computer system 300 using, e.g., but not limited to, the storage 330, the removable memory and/or storage device 326, 336, respectively, hard drive and/or communications and/or network interface 370, and/or router, etc. The control logic (software), when executed by the processor 310, can cause the processor 310 to perform the functions as described herein, according to an exemplary aspect. The computer software can run as a standalone software application program running atop an operating system (OS) or may be integrated into the operating system and/or application program, and/ or may be executed as an applet, or networked and/or client- server, and/or browser-based and/or other process as is well known, according to an exemplary aspect. In yet another aspect, implementation may be primarily in hardware using, for example, but not limited to, hardware components such as, e.g., but not limited to, application specific integrated circuits (ASICs), or one or more state machines, etc., according to an exemplary aspect. Implementation of the hardware state machine so as to perform the functions described herein will be apparent to persons skilled in the relevant art(s), according to an exemplary aspect.

In another exemplary aspect, as noted, implementation can be primarily in firmware.

In yet another exemplary aspect, implementation can combine any of, e.g., but not limited to, hardware, firmware, and software, etc.

Exemplary aspects may also be implemented as instructions stored on a machine- readable medium, which may be read and executed by a computing platform to perform the methods described herein. A machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer). For example, a machine -readable medium can include read only memory (ROM); random access memory (RAM); magnetic disk storage media; optical storage media; flash memory devices; electrical, optical, acoustical or other form of non-transitory propagated signals (e.g., carrier waves, infrared signals, digital signals, etc.), memory 320, storage 330, and others, according to an exemplary aspect.

The exemplary aspects make reference to wired, and/or wireless networks, according to an exemplary aspect. Wired networks can include any of a wide variety of well-known means, or configuration to, for coupling voice and data communications devices together, according to an exemplary aspect. Similarly, any of various exemplary wireless network technologies may be used to implement the aspects discussed, according to an exemplary aspect. Specific details of wireless and/or wired communications networks are well known and are not included, as will be apparent to those of ordinary skill in the relevant art, according to an exemplary aspect.

All examples and conditional language recited herein are intended for pedagogical purposes to aid the reader in understanding the principles of the invention and the concepts contributed by the inventor to furthering the art and are to be construed as being without limitation to such specifically recited examples and conditions, according to exemplary aspects. Moreover, all statements herein reciting principles, aspects, and aspects of the invention, as well as specific examples thereof, are intended to encompass both structural and functional equivalents thereof, according to an exemplary aspect. Additionally, it is intended that such equivalents include both currently known equivalents as well as equivalents developed in the future, i.e., any elements developed that perform the same function, regardless of structure, according to an exemplary aspect.

The computer-based data processing system and method described above is for purposes of example only and may be implemented in any type of computer system or programming or processing environment, or in a computer program, alone or in conjunction with hardware. The present invention may also be implemented in software stored on a computer-readable medium and executed as a computer program on a general purpose or special purpose computer, according to an exemplary aspect. For clarity, only those aspects of the system germane to the invention are described, and product details well known in the art are omitted. For the same reason, the computer hardware is not described in further detail. It should thus be understood that the invention is not limited to any specific computer language, program, communications and/or computing device, and/or computer, etc. It is further contemplated that the present invention may be run on a standalone computer system, according to an exemplary aspect, and/or may be run from a server computer system that can be accessed by a plurality of client computer systems interconnected over a network, according to an exemplary aspect, such as, e.g., but not limited to, an intranet network, internet network, etc., and/or that is accessible to clients over the global Internet, etc.. In addition, many exemplary aspects of the present invention may have application to a wide range of industries, according to an exemplary aspect. To the extent the present application discloses a system, the method implemented on a system, as well as a computer program product, such as, e.g., but not limited to, software instructions stored on a computer- readable/accessible non-transitory storage medium and executed on an electronic computer processor as a computer program to perform various steps of the method on a special purpose computer and/or in communication with other communication network devices including distributed mobile devices over one or more communication networks which may include wireless communication networks, etc., are within the scope of the present invention, according to an exemplary aspect.

Further, to the extent the present application discloses a method, a system of apparatuses configured to implement the method are within the scope of the present invention, according to an exemplary aspect.

While the disclosure has been presented with respect to certain specific aspects, it will be appreciated that many modifications and changes may be made by those skilled in the art without departing from the spirit and scope of the disclosure. It is intended, therefore, by the appended claims to cover all such modifications and changes as fall within the true spirit and scope of the disclosure

Claims

We claim

1. A multimodal learning framework system (100) for recommending greenhouse gas optimization, the system (100) comprises: a data repository unit (104) communicates with a plurality of healthcare centers (102) and receives a plurality of input data; an electronic information processing unit (106), that communicates with data repository unit (106) and receives the plurality of input data from the plurality of healthcare centers; a live resource availability unit (114), that communicates with the electronic information processing unit (106) and the plurality of healthcare centers in real-time, and receives an availability of resource data across the plurality of healthcare centers; an analyzing unit (108), that communicates with the electronic information processing unit (106) and the live resource availability data unit (114) and analyzes based on the availability of resource data received from the live resource availability unit (114) and historic data from the data repository unit (104) through the electronic information processing unit (106) to obtain analyzed data; a recommendation unit (110), that communicates with the analyzing unit (108) and recommends a strategy to optimize greenhouse gas utilization based on the analyzed data from the analyzing unit (108); a report preparation unit (112), that communicates with the recommendation unit (110) and generates a report based on a recommended data received from the recommendation unit (110), and further communicates with a user; and a site matching unit (116), that communicates with the electronic information processing unit (106) and predicts an anticipated failure, service, maintenance requirement, refill, or replacement, in a parallel fashion, or in serial fashion, to suggest corrective or suggestive measures to the plurality of healthcare centers (102). The system (100) as claimed in claim 1, wherein the plurality of healthcare centers is selected from a group comprising a primary health care, a secondary health care, a tertiary heath care, a multi- specialty hospital, Specialty Hospitals, General Medical & Surgical Hospitals, Clinics, Teaching Hospitals, Psychiatric Hospitals, Clinics for Family Planning and Abortion, Hospices & Palliative Care Centers, Centers for Emergency and Other Outpatient Care, Clinics for Sleep Disorders, Blood & Organ Banks, Dental Laboratories, Women's hospitals, Children's hospitals, Cardiac hospitals, Oncology hospitals, Psychiatric hospitals, Trauma centers, or Cancer treatment centers. The system (100) as claimed in claim 1, wherein the plurality of data is selected from a group comprising a patient’s transaction data, a clinician’s transaction data, a resource availability data, an emission data, a co-ordinate care data, patient’s transaction details, billing details, medication history, hospitalized history, pharmacy history, surgery history, diagnosis history, treatment history, health history or fitness history, patient’s profile, drug database, hospital resource data, patient’s database, Clinician’s database, treatment database, diagnosis database, surgery database, medication database, pharmacy database, other management database, emission of a patient, emission of a clinician, emission data of a treatment, emission data of a diagnosis, emission data of a medication, emission data of a medical service, emission data of an emergency vehicle, emission of a respective department, emission of a floor, emission data of a building, emission data of a hospital data, emission data of a city, emission data of a territory, or emission data of a country. The system (100) as claimed in claim 1, wherein the data repository unit (104) is a storage device and is selected from a group comprising a cloud storage a flash storage, a memory storage device, a disk storage, a magnetic storage device, an optical storage device, a magneto-optical storage device, or a server storage. 5. The system (100) as claimed in claim 1, wherein the analyzing unit (108) generates a patient’s journey and predicted analysis of anticipated events.

6. The system (100) as claimed in claim 1, wherein the analyzing unit (108) accumulates the analyzed data on periodic basis to provide on-demand predictive analysis. . The system (100) as claimed in claim 1, wherein the recommendation unit (110) highlights an optimal care pathway by cost, length of treatment or treatment effort involved.

8. The system (100) as claimed in claim 1, wherein the recommendation unit (110) recommends an alternative pathway to reduce greenhouse gas emission.

9. The system (100) as claimed in claim 1, wherein the live resource availability unit (114), that communicates with the electronic information processing unit (106) and the plurality of healthcare centers in batch and receives an availability of resource data across the plurality of healthcare centers periodically.

10. The system (100) as claimed in claim 1, wherein the live resource availability unit (114) that communicates continuously, and communicates in one or more of: upon receipt of change in electronic sensor readings; real-time; near real-time; periodically; aperiodically; timestamped batch mode; or automatically.

11. A method (200) for recommending greenhouse gas optimization, the method (200) comprising: collecting (202) a plurality of input data from a networked healthcare centers (102); receiving (204) the data collected from the data repository unit (104), an electronic information processing unit (106) communicates with a live resource availability data unit (114) that maintains information on current utilization and occupancy across the networked healthcare centers or the plurality of healthcare centers (102); comparing (206) a live resource data from the live resource availability data unit (114) with an historic data to map the greenhouse gas emission rate by the analyzing unit (108); predicting (208) an anticipated failure, service, maintenance requirement, refill, or replacement, in parallel or in serial, to suggest corrective or suggestive measures by the electronic information processing unit (106) and further communicates with a site matching unit (116) to equip downtimes and schedule services to the networked healthcare centers (102); recommending (210) an optimization strategy to reduce greenhouse gas emission by a recommendation unit (110); and preparing (212) a report based on analyzed data from recommendation unit (110), by a report preparation unit (112).