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Apache IoTDB is a project initiated by Prof. Jianmin Wang's team in the School of Software at Tsinghua University. [1] In 2011, the team chose to use open source NoSQL technology instead of Oracle for a project with mass machine data management, and noticed the insufficiency of NoSQL in the industrial internet of things (IIoT) scenarios.
The application of the IoT in healthcare plays a fundamental role in managing chronic diseases and in disease prevention and control. Remote monitoring is made possible through the connection of powerful wireless solutions. The connectivity enables health practitioners to capture patient's data and apply complex algorithms in health data ...
Health informatics describes the use and sharing of information within the healthcare industry with contributions from computer science, mathematics, and psychology. It deals with the resources, devices, and methods required for optimizing the acquisition, storage, retrieval, and use of information in health and biomedicine.
A number of sources provide lists of initialisms and acronyms commonly used in health care. The terms listed are used in the English language within the healthcare systems and by healthcare professionals of various countries. [3] Examples of terms include BP, COPD, [9] TIMI score, and SOAP. [10] There is no standardised list. [3]
This is an accepted version of this page This is the latest accepted revision, reviewed on 9 December 2024. Economic sector focused on health An insurance form with pills The healthcare industry (also called the medical industry or health economy) is an aggregation and integration of sectors within the economic system that provides goods and services to treat patients with curative, preventive ...
Health care analytics is the health care analysis activities that can be undertaken as a result of data collected from four areas within healthcare: (1) claims and cost data, (2) pharmaceutical and research and development (R&D) data, (3) clinical data (such as collected from electronic medical records (EHRs)), and (4) patient behaviors and preferences data (e.g. patient satisfaction or retail ...
The original sin of the US health insurance industry is its establishment as a largely for-profit enterprise dominated by private-sector companies. This is a quirk of history.
Emails, audio recordings, or physician notes about a patient are examples of unstructured health data. While advances in health information technology have expanded collection and use, the complexity of health data has hindered standardization in the health care industry. [2]