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How Data are Classified: Categorical Data01:11

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A variable, usually notated by capital letters such as X and Y, is a characteristic or measurement that can be determined for each member of a population. Data are the actual values of variables. They may be numbers, or they may be words. Datum is a single value.
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Data that are countable or measurable in specific units are called numerical or quantitative data. Quantitative data are always numbers. Quantitative data are the result of counting or measuring the attributes of a population. Amount of money, pulse rate, weight, number of people living in a town, and number of students who opt for statistics are examples of quantitative data.
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Data validation is an essential part of a comprehensive assessment. Validation is confirming or verifying and opening the door to gathering more assessment data as it clarifies vague or unclear data. The process of checking and verifying the collected information is called data validation. The primary purpose of data validation is to ensure data is as free from error, bias, and misinterpretation as possible.
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The nursing history captures and records the patient's health status, so that a care plan evolves to meet the patient's individual needs. The nursing health history is a part of the initial assessment. A comprehensive history covers all health dimensions and plays a significant role in the assessment process. A comprehensive history includes the patient's biographical information, reasons for seeking health care, expectations, present and past health history, medications, and...
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Blockchain-Based Data Preservation System for Medical Data.

Hongyu Li1, Liehuang Zhu1, Meng Shen2

  • 1Beijing Institute of Technology, Beijing, China.

Journal of Medical Systems
|June 30, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a novel blockchain-based data preservation system (DPS) to secure sensitive medical records against theft and tampering. The system ensures data integrity and privacy, enhancing patient care reliability.

Keywords:
BlockchainData preservationEthereumMedical dataSensitive data

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Area of Science:

  • Computer Science
  • Health Informatics
  • Cybersecurity

Background:

  • The increasing volume of digital medical data presents significant challenges for secure storage and retrieval.
  • Vulnerabilities in current systems can lead to data breaches, tampering, and loss, potentially compromising patient safety and treatment.
  • Ensuring the integrity, verifiability, and privacy of medical records is crucial for reliable healthcare.

Purpose of the Study:

  • To propose a novel blockchain-based data preservation system (DPS) for medical data.
  • To ensure the primitiveness, verifiability, and perpetual availability of medical records.
  • To guarantee user privacy and data confidentiality against unauthorized access and tampering.

Main Methods:

  • Leveraging a blockchain framework for decentralized and immutable data storage.
  • Implementing prudent data storage strategies and advanced cryptographic algorithms.
  • Developing a prototype system on the Ethereum blockchain platform.

Main Results:

  • The proposed DPS effectively ensures the originality and verifiability of stored medical data.
  • The system guarantees user privacy, preventing unauthorized access to plaintext data even if stolen.
  • Performance evaluations confirm the system's effectiveness and efficiency.

Conclusions:

  • The blockchain-based data preservation system offers a robust solution for securing sensitive medical information.
  • This approach enhances the reliability of medical data management, supporting continuous and safe patient care.
  • The DPS provides a secure, private, and verifiable method for long-term medical data storage.