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Iot Enabled Health Information Analysis With Artificial Intelligence To Draw Future Health Prospects Of Patient

Abstract: The medical services now extending virtually towards e-medical and drug-assistive applications. The healthcare service advancement is most demanded in every nation. The quality healthcare service can be given with AI embedded IoT could serve the innovative and revolutionary prospects. The AI used in healthcare service would provide more opportunities of advanced disease prediction and suggest preventive techniques and diagnostics. The cloud computing would serve the computing, communication, storage and large scope of data processing in healthcare system. The IoT requires data storage and processing mechanism to stream the medical data. The body sensor and RFID tags are used to collect various human physiological data which are then shared through wireless technology to be stored and processed in the cloud and served through IoT application for better data usage. The medical data handled here includes edge computing to deliver only the necessary data to appropriate user.

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Patent Information

Application #
Filing Date
25 November 2020
Publication Number
49/2020
Publication Type
INA
Invention Field
COMPUTER SCIENCE
Status
Email
jeraldprasath@gmail.com
Parent Application

Applicants

1. Dr. G. Jerald Prasath, Assistant Professor, Dept of CSE
TKR College of Engineering and Technology Hyderabad Telangana India 500097
2. Dr. P. Maria Jesi, Professor, Dept of CSE
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
3. Dr. Vicky Nair, Associate Professor, Dept of CSE
TKR College of Engineering and Technology Hyderabad Telangana India 500097
4. Mr.S.K Wasim Haidar, Research Scholar
NIMS University Jaipur Rajasthan India
5. Mr. A. Jenice Prabhu, Assistant Professor, Dept of CSE
Arunachala College of Engineering for women Vellichanthai Kanyakumari Dist Tamilnadu India 629203
6. Mr. Isaac Sajan R, Associate Professor, Dept of CSE
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
7. Mr. V.Bibin Christopher,
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
8. Mr. T. Benil, Assistant Professor, Dept of CSE
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
9. T.A Sivakumar, Dept of EEE , Assistant Professor
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
10. Mr. N M Godwin Dhas, Dept of EEE , Assistant Professor
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004

Inventors

1. Dr. G. Jerald Prasath, Assistant Professor, Dept of CSE
TKR College of Engineering and Technology Hyderabad Telangana India 500097
2. Dr. P. Maria Jesi, Professor, Dept of CSE
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
3. Dr. Vicky Nair, Associate Professor, Dept of CSE
TKR College of Engineering and Technology Hyderabad Telangana India 500097
4. Mr.S.K Wasim Haidar, Research Scholar
NIMS University Jaipur Rajasthan India
5. Mr. A. Jenice Prabhu, Assistant Professor, Dept of CSE
Arunachala College of Engineering for women Vellichanthai Kanyakumari Dist Tamilnadu India 629203
6. Mr. Isaac Sajan R, Associate Professor, Dept of CSE
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
7. Mr. V.Bibin Christopher,
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
8. Mr. T. Benil, Assistant Professor, Dept of CSE
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
9. T.A Sivakumar, Dept of EEE , Assistant Professor
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004
10. Mr. N M Godwin Dhas, Dept of EEE , Assistant Professor
Ponjesly College of Engineering Nagercoil Kanyakumar dist Tamilnadu India 629004

Specification

Claims:
1. The health information system includes the AI and IoT for better prospects of patients.
a. The AI performs resource management and processing function to analyze the data received and create critical incident to be notified which are to be transmitted to the end user.
b. The IoT performs the application of the smart healthcare service among wide range of medical stakeholders.
2. For example the person who is accessing an emergency ward patient can be monitored and alert if not an authorized person.
3. The inventory and equipment can be best managed with the IoT merging technique.
a. The patients information items like the medical needs can be sensed through barcode scanners for their expiry and usage record.
b. The equipment like scanning devices, electronic devices and other operation theatre equipment can be monitored for any damage through the sensors placed at coherent places.
c. This data also saved in the cloud environment for data analysis and set an threshold value as per device specification to check for any damage to the device.
d. The health information would prevent the unintended use of expired medical products and notify when the stock is less than requirement value. Thus procurement can be done easily.
4. The critical conditions in the healthcare management like undeclared power failure and gas cylinder leakage can also best avoided the use of IoT implementation
a. The undeclared power failure can be notified through the sensors and initiate backup service in the important devices and health service devices through automated power battery initiation and the same conveyed to the healthcare and floor management authorities for better management.
b. The gas leakage can be monitored through DB and identify patients details. Any such leakage if recorded can be processed to intimate the emergency team.
c. The patient records data received through small transmitters are shared to IoT via the mobile network and processed to enable preventive action by the alert call to the stakeholders.
5. The patient who need medical service all through 24X7 can be monitored through the sensors upon their movement, drug-intake or missed data, physical data like temperature, blood pressure and diabetic level.
a. The patient who has to be monitored this way can be best served with IoT application.
b. Any difference identified with the patient can be transmitted through the sensors connected with mobile network to the cloud environment. This data analyzed and notified the patient caretakers and doctors, nurse who are responsible for the health service.
6. The IoT provides better smart management of healthcare service through wide application of wireless network at coherent place to transmit the recorded data without any delay and loss. The AI technology has the best advantage of data transparency and data redundancy makes it possible to achieve such reduced data bandwidth consumption and reliability.

, Description:The proposed work of smart healthcare system integrates the Artificial intelligence and the Internet-of-Things providing Cloud-of-Things. The AI and IoT integrated to complement each other for the more advantageous purpose. The disadvantages associated with cloud can be attributed with IoT. The data storage and security challenges of IoT can be satisfied with Cloud computing. The IoT is heterogeneous network of devices and protocols which require interoperability, scalability, reliability, flexibility, and security that are best served by AI. The integration also helps in reduced cost of devices and networking with ease of access to them. The cloud and IoT integration in healthcare is a great advantageous development. The AI provides vast resource and computing services which is more required in healthcare inventory and devices management. The hospitals which create and use huge amount of sensible data has to be accessed in secure and easy manner. This will be served by the cloud computing technology. The pharmaceutical items and devices tracking and managing can be done through the IoT when then are connected with RFID. The hazardous things also can be monitored through periodical visual and critical analysis. The visual testing can be done through the CCTV with sensors to alert of any leakage. The IoT provides Human_Things interaction with the wide application internet over the things. Such an application is the need of the hour in the hospital which are providing life-saving service. The recent mishaps of power failure and hazardous gas leakage can be identified at the earliest and promptly alert the emergency service providers upon the failure through IoT. Here the cloud computing performs the analyzing, deciding and alerting role. The shortage of medical needs, medical products validity expiry can also be monitored through the smart healthcare system. The barcode scanners used to read and verify the validity details. The emergency gas cylinders like oxygen and other gases can also be tracked by this proposed system. The wireless technology used to transmit the data recorded from heterogeneous devices of the network. The wirelessly transmitted data can be stored in the cloud environment. The cloud environment serves the resource availability and computing needs of the data received which is a most demanded feature in healthcare application. Because healthcare environment has vast number of sensors, actuators, RFID and barcode readers. The input collected from these real-time devices have to be stored and processed without any delay and data loss. The cloud environment designed for such challenging and valuable service can be implemented here. The IoT application of data processed is the second main task of this smart healthcare system. The IoT application is to convey the data processed as alert message to the stakeholder and initiate an earlier automatic response if needed like gas leakage and unexpected power failure. The data storage and processing automatically also defines the ethical value of the healthcare organization. The social responsibility is best conveyed through such automatic transparent emergency care. The medical product information also helps the business purpose of best medicine usage and stock details. The equipment usage and damages can be easily identified with an automatic repair intimation request. Thus the healthcare providers can defend any careless mishaps at the earliest which when unnoticed would lead to loss of life and legal action upon the organization. Thus the use of the AI and IoT in the smart healthcare management system is a most welcomed project. The mobile patient tracking can also be done through this system of smart management.
IoT enabled Health Information Analysis with Artificial Intelligence to draw future health prospects of patient

Documents

Application Documents

# Name Date
1 202041051300-COMPLETE SPECIFICATION [25-11-2020(online)].pdf 2020-11-25
1 202041051300-REQUEST FOR EARLY PUBLICATION(FORM-9) [25-11-2020(online)].pdf 2020-11-25
2 202041051300-DRAWINGS [25-11-2020(online)].pdf 2020-11-25
2 202041051300-FORM-9 [25-11-2020(online)].pdf 2020-11-25
3 202041051300-FORM 1 [25-11-2020(online)].pdf 2020-11-25
4 202041051300-DRAWINGS [25-11-2020(online)].pdf 2020-11-25
4 202041051300-FORM-9 [25-11-2020(online)].pdf 2020-11-25
5 202041051300-COMPLETE SPECIFICATION [25-11-2020(online)].pdf 2020-11-25
5 202041051300-REQUEST FOR EARLY PUBLICATION(FORM-9) [25-11-2020(online)].pdf 2020-11-25