MEDICINE PRESCRIPTION SYSTEM

This project "MPS (Medicine Prescription System ) is also known as "Single Chair". The aim of this project is to facilitate the patients living in remote and rural areas to diagnose their aliments on early stage and cure them in less expense and in time to save human health in the absence of doctor.

Project Title

MEDICINE PRESCRIPTION SYSTEM

Project Area of Specialization

Artificial Intelligence

Project Summary

This project "MPS (Medicine Prescription System ) is also known as "Single Chair". The aim of this project is to facilitate the patients living in remote and rural areas to diagnose their aliments on early stage and cure them in less expense and in time to save human health in the absence of doctor. Moreover, this concept is applicable to the patients of all ages i.e., from infants to senior citizens as to subscribe the medicine, monitor and follow-up their various health issues. This project is significantly helpful in catering the main victims of the previously mentioned hostile situation that is the females of remote areas. Regardless of the situation, the females have a need of female doctors/physicians to share their issues to get medicine prescriptions and recommendations, which is unfortunately not possible in such areas. In the majority of rural areas, there is not even any local hospital to facilitate the people. Especially in Sindh, there are many small villages and slums where people are dying because they don’t have clean water and food. Due to this, they suffer from a number of deadly diseases. The infant mortality rate in Pakistan is also alarming which are 66 per 1000 births. Due to lack of proper care, mothers are not able to maintain their health during pregnancy resulting in the deaths of their babies. In many cases, children are born with various diseases including heart defects. Apart from the lack of medical facilities, there is not any health insurance system for the underprivileged through which they can get their medical treatment for free or at least at discounted rates. Patients in such areas can use MPS and get medical prescription, get connected to a doctor if the device is unable to prescribe medicine, see their medical record and personal information and fee of examination.

Project Objectives

In our country there is no system or device that can be deployed in villages or places where we have less hospitals, unqualified staff, where it is hard to travel or women are not allowed to travel alone or people might be facing financial issues.

• The device features can be accessed with its dedicated website or android application.
• The patients will be prescribed medicines based on their medical history.
• The doctor panel will be given to doctors where they can check in on a patient having a medical issue on which the MPS cannot prescribe a medicine to the patient.
• The system will be trained based on the computer vision, machine learning and deep learning algorithms to gather the medical record of patient, records obtained from the sensors of MPS, personal information of doctor and the patient, record of medicines and fee record of patient in a single database with the help of ERP.

• The data stored in ERP will be used by the algorithms for performing actions.

• Algorithm will be used to prescribe medicine to the patient based on their medical record if the algorithm is not able to predict the medicine a message and an email will be sent to the doctor so they can prescribe and confirm the medicine to the patient in time.

• The camera will take images of the patient’s throat, the computer vision algorithm for image processing will run and check if the patient is suffering from tonsils or not, this information will be stored on the database.

• The device will take pictures, run tests and store the result of tests in database, prescribe medicines based on the medical record, the device will generate an automatic email to the doctor if it cannot prescribe medicine to the patient and it will provide balance history and fee details of the patient.

Hardware Components:

• Camera with light to take images of throat
• Wi-Fi Module
• Battery backup system in case of power loss
• Microcontroller
• Cables & Connectors
• Transformer/Adapter, Rectifiers, Regulators
• PCB and Breadboards
• Switch, Resistors
• Capacitors, Power Supply, Diodes
• Transistors, IC Socket,IC
• Arduino Compiler

Sensors:

• Temperature Sensor
• Heartbeat Sensor
• ECG Sensor
• Blood Pressure Sensor

Software Contributions: 

IoT, Website, Database (ERP), Android Studio, Computer vision (Image Processing), Machine Learning, Data Science (k-means, SVM, Classification and Regression Trees), Tree-Based Prediction (Decision Tree), Neural Networks, Deep Learning, Python.

Project Implementation Method

Following are the components of the project:

Website and Android Application:

• Website will have two perspectives a patient perspective and a doctor perspective.
• The patient and doctor can sign-up, login and the patient can enter their own medical records and all of this will be stored in the database.
• The patient and doctor can video call each other in case of emergency or for customer assurance.
• The doctor has the option to approve or disapprove the medicine predicted by the MPS.
• The website has the option of patient and doctor panel to generate a report using the ERP which has all the patient record, their payment method and billing (receipt), medicine prescribed, time table to take medication.

Enterprise Resource Planning (ERP):

ERP software will be used to keep the data to be stored in different tables of a single database, i.e. the medical record of patient, records obtained from the sensors of MPS, the dataset of medicines, the login credentials of both the patient and doctor, the medicine prescribed to the patient after running prediction algorithm on the dataset of medicines. Everything is stored in one place because ERP provides a record to be stored in a single place, this saves the cost and time, the data stored in ERP will be used by the algorithms to predict and prescribe a medicine to the patient more accurately later on. The device will have a feedback mechanism which will work on algorithms to learn and acquire further expertise as new diagnoses will be made and track its own success rate. Thus the device is continuously evolving to become more robust and accurate over time.

Algorithms:

The algorithms will be used at different steps for different purposes, for example, the camera will take images of the patient’s throat the computer vision algorithm for image processing will run and check if the patient is suffering from tonsils or not, this information will be stored on the database. The algorithm for prediction will be executed after the customer has paid the fee for tests and all the tests have been taken by the MPS. Algorithm will be used to prescribe medicine to the patient based on their medical record if the algorithm is not able to predict the medicine a message and an email will be sent to the doctor so they can prescribe and confirm the medicine to the patient in time. Deep learning will provide more accurate results and more accurate prescription of medicines.

IOT (Internet Of Things):

IoT can be defined as an interconnected network that links a large number of devices to one another for purposes of making large-scale information accessible to all. This technology can be seen as a grid of computers that deliver software and data via the Internet. The IoT device collects health data  obtained from the sensors and transfers the results to the database.

Benefits of the Project

With the use of this IOT-based healthcare method, ERP and Algorithms there are unparalleled benefits which could improve the quality and efficiency of treatments and accordingly improve the health of the patients.

• Cheaper Health Monitoring
• Remote Healthcare
• Preventive care
• Appointment Scheduling
• Share Medical Records
• Increases diagnostic accuracy
• Pre-diagnosis
• Direct patient management
• All record in a single database
• Prescription of medicine

The major advantages of IoT and ERP in healthcare include Cost Reduction and enables patient monitoring in real time, thus significantly cutting down unnecessary visits to doctors, hospital stays and re-admissions. Real-time monitoring via connected devices can save lives in event of a medical emergency. IoT enables real-time alerting, tracking, and monitoring, which permits hands-on treatments, better accuracy, and apt intervention by doctors and improve complete patient care delivery results.

The patients from remote areas specially female and senior citizens will be facilitated with the medical prescription, medical tests and their records in their area instead of wasting money and time on travelling to a city far away and getting the results and prescriptions later than required.

Technical Details of Final Deliverable

A chair in which all the sensors will be embedded. The chair will be connected to the internet with the help of a wifi module. A camera with light for taking pictures of the throat will be attatched to the chair which will take images and create a dataset, the image processing algorithm will process the images and find out if the patient suffers from tonsils or not. After the medical examination is done the algorithm will upload the record on the database. The database will have several tables in which medical record of the patient, personal information of the patient, medicine prescribed to the patient and credentials of both the patient and the doctor will be stored. Prediction algorithm (Tree Based Prediction) will execute on the basis of the medical record of the patient and prescribe the suitable medicine to the patient. If the MPS cannot prescribe the medicine to the patient a deep learning algorithm will generate an automatic email to the doctor so they can prescribe the medicine to the patient in such case, the MPS will train and learn about that medicine by storing the record of that medicine in the database and will prescribe that medicine itself next time by using deep learning algorithm. These algorithms will increase the level of operations at a much greater depth than a human doctor could ever imagine. The website and android application will be provided to the patients who are in need of MPS and to the respected doctors to confirm and prescribe medicine to the patient. The patient will be able to signup, login, get a report of their medical record, medicines prescribed, fee payment, personal information, all of this data will be assembled from the database created using ERP (Enterprise Resource Planning). The doctor will be able to login, get medical records of patients, see the medicines prescribed by the MPS to the patient and confirm them, personal information and prescribe medicines to the patient in-case of emergency. 

The chair has a battery which can be charged with a chargeable port which is connected to the electricity which helps in charging the battery. In-case the power runs out the MPS can still run by using the charged battery as an alternative.

The camera attached to the chair will be pointed in the mouth towards the throat of the patient to take images, for clear images inorder to create the dataset.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

Health

Other Industries

Medical

Core Technology

Internet of Things (IoT)

Other Technologies

Artificial Intelligence(AI), Cloud Infrastructure, Big Data

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com