Description:Title of The Invention
A SYSTEM OF AI-ASSISTED MOBILE APPLICATION FOR ASHA WORKERS AND METHODS THEREOF
Field of the Invention
This invention relates to a system of AI-assisted mobile application for Asha workers
Background of the Invention
US20100131434A1 says that An automated patient-management system for efficiently reporting patient information to clinicians, and a method of operation thereof is described. The system automatically collects and analyzes historic-physiologic data indicative of a patient's health from a myriad of sources. Based on the historic-physiologic data, the system automatically generates a health-risk score indicative of whether a patient will experience a serious-medical event in the near future (e.g., a predetermined time interval). The system uses a processing model that may rely on Hierarchical-Temporal Memory techniques and other models, for extracting and analyzing patient data. The system also generates an integrated synopsis of a patient's health condition, including the health-risk score. The synopsis is then presented (served) to a clinician in an organized, simplified, and effective manner via a client-side user interface. The synopsis enables a physician to proficiently grasp the patient's most critical health parameters in a short period of time.
Research Gap: personalized to ASHA's and pregnant women needs. (Separate interface for each)
AI-powered system providing predictions for pregnant women and digital repository recommendations for ASHA workers.
Empowers pregnant women with upcoming checkup schedules, nearby ASHA workers, health centers, and ambulance availability.
WO2021001592A1 says that a method, apparatus and computer program for automatic and real-time method for patient care planning, containing: obtaining (600) first data having: medical history information of a patient; and diagnostic model data; using (605) an interactive query process second to obtain second data having observations of current status of the patient; producing (610) probabilistic diagnostic data based on the first and second data; obtaining (615) third data comprising triage model data; based on the probabilistic diagnostic data and the third data, performing (620) an interactive triage query process and in result producing triage information; obtaining (625) fourth data comprising care path data; and producing (630) probabilistically weighed care path information based on the fourth data and the triage information; wherein the probabilistically weighed care path information is produced collectively accounting for each of the patient's care need; urgency of care; and care path information.
Research Gap: Features AI-powered prediction and recommendation system for generating emergency alerts and managing upcoming meetings, routine checkups, and vaccinations.
Empowers ASHA workers to provide more efficient and timely healthcare services to pregnant women through advanced technology.
AI-enabled app designed specifically for ASHA (Accredited Social Health Activist) to digitally monitor pregnant women in their areas and maintain accurate data.
None of the prior art indicate above either alone or in combination with one another disclose what the present invention has disclosed.
SUMMARY OF THE INVENTION
This summary is provided to introduce a selection of concepts, in a simplified format, that are further described in the detailed description of the invention.
This summary is neither intended to identify key or essential inventive concepts of the invention and nor is it intended for determining the scope of the invention.
To further clarify advantages and features of the present invention, a more particular description of the invention will be rendered by reference to specific embodiments thereof, which is illustrated in the appended drawings. It is appreciated that these drawings depict only typical embodiments of the invention and are therefore not to be considered limiting of its scope. The invention will be described and explained with additional specificity and detail with the accompanying drawings.
In the digital age, it is still difficult for pregnant women to get the basic healthcare services provided by the government through ASHA worker. Pregnant women must overcome problems such as lack of timely information on antenatal care schedules, poor knowledge and communication difficulties with ASHA worker, especially in remote communities. On the other side, it is challenging for ASHA staff also, to deliver high-quality healthcare due to a lack of financing, limited training in the use of digital technology, and connectivity issues in remote locations.
A system of AI-Driven mobile application for ASHA workers for pregnant women and primary/community health centers comprises Text generative guidelines (101), Diet Plan presenter (102) and Physical exercise recommendation system (103); which are AI based information delivery system; wherein the system provides real time information to ASHA workers regarding the government or predetermined guidelines and other necessary information’s.
A mobile application might have a solution to these problems that is practical. By providing a user-friendly platform, the application can provide pregnant women with access to details about public health facilities, antenatal care appointments, and personalized health advice. Additionally, the mobile app can equip ASHA staff members with digital tools for efficient communication, a digital record repository, real-time data collection, and access to up-to-date health advice, allowing them to deliver services that are more concentrated and effective. This digital intervention could improve maternal healthcare outcomes and offer better healthcare delivery in underserved areas by bridging the gap between pregnant women and ASHA employees.
BRIEF DESCRIPTION OF THE DRAWINGS
The illustrated embodiments of the subject matter will be understood by reference to the drawings, wherein like parts are designated by like numerals throughout. The following description is intended only by way of example, and simply illustrates certain selected embodiments of devices, systems, and methods that are consistent with the subject matter as claimed herein, wherein:
Figure 1. Overall Application Architecture (Server and User Side)
Figure 2. Generative AI Guidelines Component of the Application
Figure 3. Diet Plan Feature of The Mobile Application
Figure 4. Physical Exercise Recommendation System
The figures depict embodiments of the present subject matter for the purposes of illustration only. A person skilled in the art will easily recognize from the following description that alternative embodiments of the structures and methods illustrated herein may be employed without departing from the principles of the disclosure described herein.
DETAILED DESCRIPTION OF THE INVENTION
The detailed description of various exemplary embodiments of the disclosure is described herein with reference to the accompanying drawings. It should be noted that the embodiments are described herein in such details as to clearly communicate the disclosure. However, the amount of details provided herein is not intended to limit the anticipated variations of embodiments; on the contrary, the intention is to cover all modifications, equivalents, and alternatives falling within the scope of the present disclosure as defined by the appended claims.
It is also to be understood that various arrangements may be devised that, although not explicitly described or shown herein, embody the principles of the present disclosure. Moreover, all statements herein reciting principles, aspects, and embodiments of the present disclosure, as well as specific examples, are intended to encompass equivalents thereof.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of example embodiments. As used herein, the singular forms “a",” “an” and “the” are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms “comprises,” “comprising,” “includes” and/or “including,” when used herein, specify the presence of stated features, integers, steps, operations, elements and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and/or groups thereof.
It should also be noted that in some alternative implementations, the functions/acts noted may occur out of the order noted in the figures. For example, two figures shown in succession may, in fact, be executed concurrently or may sometimes be executed in the reverse order, depending upon the functionality/acts involved.
In addition, the descriptions of "first", "second", “third”, and the like in the present invention are used for the purpose of description only, and are not to be construed as indicating or implying their relative importance or implicitly indicating the number of technical features indicated. Thus, features defining "first" and "second" may include at least one of the features, either explicitly or implicitly.
Unless otherwise defined, all terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art to which example embodiments belong. It will be further understood that terms, e.g., those defined in commonly used dictionaries, should be interpreted as having a meaning that is consistent with their meaning in the context of the relevant art and will not be interpreted in an idealized or overly formal sense unless expressly so defined herein.
Our mobile application is a creative response to the challenges of providing pregnant women in remote areas access to crucial healthcare services. It is meant for Asha workers, expectant mothers, and Healthcare Centres. We are aware that these women frequently cannot access government-funded healthcare services due to the topography, a lack of connectivity, and communication issues, and that Asha staff also have challenges when seeking to deliver healthcare in these locations. To overcome this gap and assure accessible and effective treatment, our program provides three distinct interfaces in a single, user-friendly mobile platform for pregnant women, Asha workers, and community health centres.
Delivering healthcare services is essential, especially for Pregnant ladies, and Accredited Social Health Activists' (ASHAs') significant contribution to ensuring communities' wellbeing cannot be overstated. We are creating a system of mobile application that intends to empower ASHA employees and expectant mothers while also facilitating contact with community health facilities in order to improve the effectiveness and efficiency of healthcare services. This advanced application aims to give users immediate access to crucial data, official guidelines, and AI-powered support to solve questions and concerns about healthcare services.
PREGNANT WOMEN INTERFACE
The application makes it simple for pregnant women to sign up and get started by submitting a mobile verification registration process. After registering, pregnant women have access to a number of useful features to avail all the health services delivered through ASHA workers. The application uses push alerts to remind expectant mothers about important medical appointments, immunization schedules, and forthcoming hospital visits. A key feature of the app is communication with nearby Asha worker, which addresses the issue of the lack of means for contact. Through the application, pregnant lady can speak with Asha staff members directly to get any information, support, or direction they may need. Given that assistance and information are readily available, expectant mothers feel more at ease thanks to this direct line of connection. The emergency ambulance service, which can be called at the touch of a button in dire circumstances, is another crucial component of the program. This service is especially important in rural areas where getting immediate medical care can be a challenging task. The programme also incorporates an alert system to improve pregnant women's safety and wellbeing even further. This system promptly alerts the designated authorities and healthcare providers in the event of unanticipated emergencies or urgent situations, such as unfavourable weather conditions or unexpected health issues. With this proactive approach, dangers and potential difficulties during pregnancy and labour are reduced and the appropriate aid is sent out quickly.
ASHA WORKER INTERFACE
Now the Asha worker interface, gives these dedicated healthcare providers a complete tool to effectively handle their duties as they are the major bridge between health centres and pregnant women. With this application they can easily keep track of immunisations given and forthcoming appointments, ensuring that each pregnant person under their care receives the necessary attention and immunisations on time. For Asha staff, having access to specific information about each pregnant lady they are in charge of is one of the most useful advantages. This covers important health information, past medical history, and any particular demands or requirements particular to each person. With this information, Asha staff can offer individualised and focused healthcare, enhancing the general health of the pregnant women under their care. Additionally, the application enables Asha staff to send targeted pregnant women push notifications, ensuring that they get important information and reminders right on their smartphones. This real time communication makes it easier and reliable for ASHA workers to delivery their healthcare services.
COMMUNITY HEALTH CENTRE INTERFACE
Community health centres (CHCs) can use the application to track Asha workers' activities and the health of local expectant mothers using a reliable dashboard. Using this centralized approach, CHCs can efficiently track the progress and outcomes of healthcare programs, identifying those that require additional support or intervention. Additionally, prenatal patient medical reports can be uploaded via the CHC interface, facilitating simple information sharing between healthcare specialists. The patient's condition and treatment plans are communicated to all pertinent parties, resulting in a more thorough and well-coordinated approach to healthcare. The platform also enables CHCs to issue alerts and directives, giving pregnant women and Asha staff members vital healthcare information. The notification may possess the information about government schemes, new guidelines etc.
ARTIFICIAL INTELLIGENCE (AI) DRIVEN APPLICATION
AI ENABLED TEXT GENERATIVE FEATURE OF THE APPLICATION FOR INFORMATION DELIVERY SYSTEM REGARDING VARIOUS GOVERNMENT GUDELINES FOR ASHA WORKERS.
The block diagram (Drawing 2) shows a thorough and effective AI-assisted text generation function created specifically for ASHA workers in a mobile application, meant to enhance healthcare service delivery. The AI-enabled text Generative Model, which gives ASHA workers access to real-time and precise information on regulatory requirements and healthcare guidelines, is the central component of this application. The Model Training block serves as the starting point for achieving this AI assisted feature. The Data Acquisition Protocol, Training Data Collection, and Text Generative Automation are highlighted here as three key components. The Data Acquisition Protocol makes it easier to gather the pertinent information needed to train the AI model. Data preparation and cleansing may be included after data scraping from reputable sources. The Training Data Collection makes sure that the model has access to a dataset that has been specially selected for the needs of ASHA employees, with a particular focus on healthcare standards and related data. The obtained data is effectively processed by the Text Generative Automation, making it ready to be fed into the AI model for training. Another block labelled as "Government Guidelines for ASHA Workers" is connected to the Data Acquisition Protocol. This unique service gives ASHA employees exclusive access to government regulations that are suited to their needs. ASHA workers may give accurate and current information to pregnant women and communities by incorporating this crucial resource, which will keep them well-informed about the most recent healthcare recommendations. This will be the database of all the government guidelines for ASHA worker and is the key component of model training and information database.
The "Language Model Text Prediction and Suggestion" block, which stands in for the language model component, is the brain of the AI-assisted feature. This component makes use of cutting-edge natural language processing algorithms to decipher the questions asked by ASHA employees and offer perceptive, context-sensitive text predictions and suggestions. The training procedure is shown to have been completed in the Model Deployment block. The mobile application incorporates the AI-enabled text Generative Model, which has been fully trained and is now capable of generating text. The "Information Result Output Interface" block links the generative model and user interface simultaneously, allowing ASHA employees to engage with the AI feature without any difficulty. The New Live Data block indicates the real-time data received from ASHA workers, pregnant women, or other users interacting with the mobile application. When ASHA employees ask questions or need direction, the AI model analyses their requests and produces precise answers based on the training data and government guidelines database. This AI-powered text generative feature provides a useful tool that transforms ASHA workers ability to provide healthcare services. ASHA workers may quickly obtain accurate and pertinent information via the mobile application, which helps them make decisions and provide pregnant ladies with high-quality healthcare. This AI-assisted feature reinforces the role of ASHA workers as essential healthcare facilitators and greatly improves healthcare outcomes by guaranteeing the availability of real-time information and individualized counselling. Hence this block diagram smartly illustrates how the AI-assisted text generative feature seamlessly integrates into the mobile application to empower ASHA workers, ultimately enhancing healthcare service delivery and promoting better maternal and community health service.
DIET PLAN FEATURE OF THE MOBILE APPLICATION
The application offers unified access to the diet plan feature for both ASHA workers and pregnant ladies with a customized User Profiles for each group. Pregnant women first receive a health assessment, which provides important health-related data used to modify dietary recommendations. An advanced Nutrition Recommendation Engine processes this data by comparing the health assessment inputs with the diet plan database. The engine creates individualized nutrition recommendations, guaranteeing that each diet plan properly satisfies the person's dietary choices, medical needs, and other health criteria. The AI-Enabled Diet Plan Generator refines the suggestions even further by using cutting-edge machine learning algorithms to create the best, most wholesome diet plans for each pregnant lady. An intuitive diet plan presentation that breaks down the meal plans, food items, portion sizes, and nutritional values into an easily understandable manner is used to convey the results.
Pregnant mothers and ASHA workers can both receive timely updates and notifications through the feature's real-time capability. Reminders are given to pregnant women on meal times, water consumption, and other important facets of their diet plan. ASHA staff members can keep a careful eye on pregnant women's development, ensuring that the food plan is followed, and providing extra support as necessary. Pregnant women and ASHA employees receive the individualized diet regimens through the Output Interface. It does this by combining textual descriptions, charts, and graphs with visual aids to communicate the information. The function works in real-time with New Live Data that is continuously gathered from pregnant women's health assessments, feedback, and advancement. The food programs are kept current and efficiently address the changing demands of each pregnant lady during her journey through this dynamic approach. In light of this, this block diagram shows a diet plan feature powered by AI that is user-friendly and specifically designed to meet the demands of pregnant women. The smartphone application's incorporation of cutting-edge technologies, real-time updates, and personalized advice empowers ASHA employees and pregnant women alike to prioritize and maintain a nutritious diet, improving maternal health and well-being.
PHYSICAL EXERCISE RECOMMENDATION SYSTEM
The block diagrams depict a comprehensive and user-centric feature within the mobile application, which is specifically designed to provide individualized fitness recommendations to pregnant women. With a primary focus on promoting pregnancy safety and fitness, this feature allows ASHA workers and pregnant women to access individualized exercise routines via an accessible user interface. The Exercise Recommendation Database, a robust repository comprising a varied range of physical workouts precisely curated to fit the specific demands of pregnant women, serves as the feature's foundation. The application is made for both pregnant women and ASHA workers, and separate User Profiles make it simple to access the Physical workout recommendation feature. Pregnant women first complete a Health Assessment, which offers crucial health-related data needed to modify their activity recommendations.
An advanced exercise recommendation engine then compares the health assessment inputs to the exercise suggestion database to interpret the data. Based on the woman's individual health concerns, fitness levels, and stage of pregnancy, the engine creates customized training methods. Based on the suggestions made by the Exercise Recommendation Engine, the AI-Enabled activity Plan Generator optimizes and generates the best suitable activity plans for each pregnant woman. The customized physical training activity is presented by a simple Exercise Plan Presentation that includes important safety precautions, exercise instructions and frequency for each exercise. The feature emphasizes real-time functioning, giving pregnant women and ASHA workers with rapid updates and messages. Pregnant women receive workout reminders, crucial safety tips, and updates to their fitness schedules. Simultaneously, ASHA staff may regularly monitor pregnant women's exercise progress, ensuring they follow the exercise regimen safely and successfully. The program provides Feedback and Monitoring in order to promote efficiency and continual improvement. Pregnant women can offer insightful feedback on their workout schedules, allowing for iterative improvements to better meet each woman's specific demands for physical fitness throughout pregnancy.
The functionality is crucial in that it allows the application to gather and analyses pertinent data through the use of data analytics and reporting. The knowledge collected from this study enables data-driven changes and further optimization by tracking the effects of the exercise programs on the health and fitness of pregnant women. Pregnant women and ASHA employees receive the individualized workout plans through the Output Interface. This feature of the application also uses New Live Data that is continuously gathered from the health assessments, comments, and activity progress of pregnant women and runs in real-time. Through the course of each pregnant woman's pregnancy, this dynamic approach guarantees that the exercise suggestions remain current and effectively address their changing demands. Hence the block diagram shows a user-friendly, AI-driven workout advice tool that is specially crafted for pregnant women's specific needs. The smartphone application gives pregnant women and ASHA employees alike the power to prioritize and maintain maximum physical fitness, encouraging healthy pregnancies and improving overall maternal well-being. It does this by offering safe and individualized exercise routines.
ADVANTAGES OF THE INVENTION
1. This mobile application is an innovative remedy created to deal with the issues faced by pregnant women, Asha workers, and community health centers in outlying locations.
2. Our application intends to transform maternal healthcare delivery by integrating cutting-edge features like push alerts, direct communication channels, emergency services, and thorough record-keeping, ensuring that no woman is left behind in getting primary and emergency medical services.
3. We work to build a strong and interconnected healthcare ecosystem that ultimately saves lives and enhances the wellbeing of communities by providing Asha employees with effective tools for managing their tasks and providing CHCs with a thorough dashboard for monitoring healthcare initiatives.
, Claims:
1. A system of AI-Driven mobile application for ASHA workers for pregnant women and primary/community health centers comprises Text generative guidelines (101), Diet Plan presenter (102) and Physical exercise recommendation system (103); which are AI based information delivery system; wherein the system provides real time information to ASHA workers regarding the government or predetermined guidelines and other necessary information’s;
Wherein system provides AI-assisted feature that reinforces the role of ASHA workers as essential healthcare facilitators and greatly improves healthcare outcomes by guaranteeing the availability of real-time information and individualized counseling;
Characterized in that system provides AI-driven workout advice tool that is specially crafted for pregnant women's specific needs.
2. The system as claimed in claim 1, wherein strengthen maternal and neonatal care service delivery by providing a nutritious diet plan, improving maternal health and well-being through this mobile application
3. The system as claimed in claim 1, wherein system gives pregnant women the power to prioritize and maintain maximum physical fitness, encouraging healthy pregnancies and improving overall maternal well-being; which does this by offering safe and individualized exercise routines.
4. The system as claimed in claim 1, wherein the Data Acquisition Protocol makes it easier to gather the pertinent information needed to train the AI model; and Data preparation and cleansing are included after data scraping from reputable sources; wherein the Training Data Collection makes sure that the model has access to a dataset that has been specially selected for the needs of ASHA employees, with a particular focus on healthcare standards and related data; and the obtained data is effectively processed by the Text Generative Automation, making it ready to be fed into the AI model for training.
5. The system as claimed in claim 1, wherein the AI-Enabled activity Plan Generator optimizes and generates the best suitable activity plans for each pregnant woman; and the customized physical training activity is presented by a simple Exercise Plan Presentation that includes important safety precautions, exercise instructions and frequency for each exercise; and the feature emphasizes real-time functioning, giving pregnant women and ASHA workers with rapid updates and messages.
6. The system as claimed in claim 1, wherein Pregnant women and ASHA employees receive the individualized workout plans through the Output Interface; and this feature of the application also uses New Live Data that is continuously gathered from the health assessments, comments, and activity progress of pregnant women and runs in real-time.