-3dc97f3d182b6b0ed3d-139a 20221119024754339 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 12 30 2022 12 1 College of Management, Walden University, Minneapolis, MN, USA Dr. Manish Shashi Digitalization has become a crucial part of healthcare 4.0 by transforming systems such as electronic health records (EHR), electronic medical records (EMR), and electronic personal medical records (ePHR). Healthcare 4.0 is derived from industry 4.0 and aims to enhance collaboration, virtualization, coherence, and convergence, which helps transform modern healthcare into more personalized and predictive. Healthcare 4.0 also aims to develop digital enablers which will support coordination among various stakeholders and seamless information flow in the patient journey towards wellbeing. These systems enhance patient care through the timely sharing of patient data across different providers globally. Timely sharing helps, but it also makes the electronic system vulnerable to alteration and breaches. In healthcare, blockchain application is widely used in various areas, such as health information exchange, pharmaceutical counterfeit, clinical trials, health supply chain management, patient data management, insurance claims, and product recall in case of adverse events. This research paper aims to identify how blockchain technology can help enhance the privacy and security of electronic health record systems. This paper discusses various blockchain-based systems, which provide a more efficient and secure option than client-server architecture-based traditional EHR systems. 12 30 2022 1 5 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A9359.1212122 https://www.ijitee.org/portfolio-item/a93591212122/ Department of Computer Technology, Dayananda Sagar University, Kudlu Gate Bangalore (Karnataka), India. K Amulya Lakshmi Reddy Department of Computer Technology, Dayananda Sagar University, Kudlu Gate Bangalore (Karnataka), India. M Chandara Kumar Department of Computer Technology, Dayananda Sagar University, Kudlu Gate Bangalore (Karnataka), India Rachana D Department of Computer Technology, Dayananda Sagar University, Kudlu Gate Bangalore (Karnataka), India. Recognition of handwritten text is still an unresolved research problem in the field of optical character recognition. This article suggests an efficient method for creating handwritten text recognition systems. This is a challenging subject that has received a lot of attention recently. A discipline known as optical character recognition makes it possible to convert many kinds of texts or photos into editable, searchable, and analyzable data. Researchers have been using artificial intelligence and machine learning methods to automatically evaluate printed and handwritten documents during the past ten years in order to digitize them. This review paper's goals are to present research directions and a summary of previous studies on character recognition in handwritten texts. Since different people have different handwriting styles, handwritten characters might be challenging to read. Our "Digitization of handwritten notes" research and effort is to categorize and identify characters in the south Indian language of Kannada. The characters are extracted from printed texts and pre-processed using NumPy and OpenCV before being fed through a CNN 12 30 2022 6 11 CC BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true 10.35940/ijitee.A9350.1212122 https://www.ijitee.org/portfolio-item/a93501212122/