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Ethical Standards I

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
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Ethical Standards II

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy...

Legal Guidelines for Documentation

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Healthcare Associated Infections II: Preventive Measures

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Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...

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An efficient medical data encryption scheme using selective shuffling and inter-intra pixel diffusion IoT-enabled

Dhivya Ravichandran¹, W Sylvia Lilly Jebarani², Hemalatha Mahalingam³

¹Department of ECE, Mepco Schlenk Engineering College, Sivakasi, 626 005, India. dhivyar@mepcoeng.ac.in.

Scientific Reports

|February 3, 2025

Summary

This summary is machine-generated.

This study introduces a secure method for transmitting patient health data using Raspberry Pi and a novel encryption technique. The system ensures patient data privacy in Telemedicine applications through combined chaotic system encryption.

Keywords:

EHR Encryption IoT Medical images Raspberry pi Security

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Advanced Diffusion Imaging in The Hippocampus of Rats with Mild Traumatic Brain Injury

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Published on: August 14, 2019

Area of Science:

Computer Science
Electrical Engineering
Medical Informatics

Background:

E-healthcare systems, particularly Telemedicine, require robust security to protect sensitive patient data.
Existing methods for securing Electronic Health Records (EHR) may not adequately address the complexities of transmitting both sensor data and medical images.

Purpose of the Study:

To develop and evaluate a secure Internet of Things (IoT) system for transmitting patient health data and medical images in Telemedicine.
To implement a novel encryption scheme based on a Combined Chaotic System (CCS) for enhanced data security.

Main Methods:

Utilized Raspberry Pi 3 B+ for data acquisition (LM35 and pulse sensors) and encryption/decryption.
Developed a text and medical image encryption scheme using a CCS for generating chaotic key sequences.
Implemented row-wise, column-wise shuffling, and selective shuffling for image scrambling.
Applied bit permutation and bit-wise XOR operations for intra- and inter-pixel diffusion.
Transmitted encrypted data via the Thing Speak cloud and used a Flask web server for doctor access.

Main Results:

The proposed encryption scheme effectively shuffles and diffuses medical images, creating highly randomized cipher images.
Security analyses and attack tests demonstrated the effectiveness of the developed medical image encryption algorithm.
The system successfully enabled secure transmission and decryption of patient health parameters and medical images.

Conclusions:

The developed IoT implementation provides a secure and effective solution for Electronic Health Record transmission in Telemedicine.
The Combined Chaotic System-based encryption scheme offers strong resistance against various attacks, ensuring patient data confidentiality.
This approach enhances the security of Telemedicine applications, safeguarding sensitive patient information.