Related Experiment Video
Updated: Jan 23, 2026
11:21
Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
8.6K
Accelerating Health Data Sharing: A Solution Based on the Internet of Things and Distributed Ledger Technologies
Xiaochen Zheng1, Shengjing Sun1, Raghava Rao Mukkamala2,3
1Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid, Madrid, Spain.
Journal of Medical Internet Research
|June 8, 2019
Summary
This study integrates Internet of Things (IoT) with distributed ledger technologies (DLT) to enable secure, cost-free health data sharing. The proposed system using IOTA Tangle offers improved scalability and flexibility over traditional blockchain solutions.
Area of Science:
- Health Informatics
- Computer Science
- Cybersecurity
Background:
- Vast amounts of health data are generated by IoT and wearable devices.
- Current data fragmentation and security concerns hinder intelligent healthcare.
- Distributed Ledger Technologies (DLTs) offer solutions for secure health data sharing.
Purpose of the Study:
- Develop a secure, scalable, and controllable health data sharing system using IoT and DLT.
- Create a prototype to demonstrate the feasibility of the proposed solution.
- Enable fee-less and tamper-resistant health data exchange.
Main Methods:
- Utilized IOTA's Tangle (a DLT) for the data sharing mechanism.
- Employed Masked Authenticated Messaging (MAM) for secure data communication.
- Implemented Merkle Hash Tree for data encryption and verification.
Main Results:
- A prototype system integrated wearable devices and sensors.
- The system demonstrated costless data integrity and flexible access management.
- Successful application in remote diagnosis of tremor disease.
Conclusions:
- DLT and IoT integration significantly enhances health data sharing.
- The IOTA Tangle and MAM solution addresses limitations of traditional blockchains.
- The study highlights potential for fully decentralized health data sharing via edge computing.
Related Concept Videos
01:30Health Information Technology and Healthcare Information System
3.3K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.3K
01:19Data: Types and Distribution
1.5K
In biostatistics, data are the observations collected for analysis. There are two main types: parametric and non-parametric. Parametric data, which include continuous (e.g., weight) and discrete numerical data (e.g., number of tablets), assume a particular distribution pattern, often the normal distribution. Non-parametric data do not adhere to a specific distribution and typically comprise nominal (e.g., gender) and ordinal categorical data (e.g., pain scale ratings).
Distributions in...
Distributions in...
1.5K
03:21Weak Base Solutions
24.9K
Some compounds produce hydroxide ions when dissolved by chemically reacting with water molecules. In all cases, these compounds react only partially and so are classified as weak bases. These types of compounds are also abundant in nature and important commodities in various technologies. For example, global production of the weak base ammonia is typically well over 100 metric tons annually, being widely used as an agricultural fertilizer, a raw material for chemical synthesis of other...
24.9K
03:22Strong Acid and Base Solutions
35.3K
A strong acid is a compound that dissociates completely in an aqueous solution and produces a concentration of hydronium ions equal to the initial concentration of acid. For example, 0.20 M hydrobromic acid will dissociate completely in water and produces 0.20 M of hydronium ions and 0.20 M of bromide ions.
35.3K
01:06Model Approaches for Pharmacokinetic Data: Distributed Parameter Models
244
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
244
01:17Solution Composition During Acid/Base Titrations
1.5K
The titration of a weak acid with a strong base results in the formation of water and the conjugate base of the acid. For instance, titrating acetic acid with sodium hydroxide leads to the formation of water and sodium acetate. A solution of acetic acid and sodium acetate constitutes a buffer whose relative concentration at different stages of the titration is indicated by the α values, which represent percentages of the weak acid and its conjugate base.
The α0 and α1 values...
The α0 and α1 values...
1.5K