Category: Nursing Informatics

Nursing Informatics

Mobile Health (mHealth) Application (Reading & Sharing)

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What is mHealth?

The National Institutes of Health (NIH) Consensus Group defined mHealth as “the use of mobile wireless communication devices to improve health outcomes, health care services, and health research”. It is a recent term used to encompass the use of mobile devices, such as mobile phones, patient-monitoring devices, PDAs, and other wireless devices, to support medical and public health practice.

mHEalth applications, include the use of mobile devices in collecting community and clinical health data, delivery of healthcare information to practitioners, researchers, and patients; real-time monitoring of patient vital signs; and direct provision of care (via mobile telemedicine). It can enhance diagnosis, help prevent diseases, improve treatments, improve accessibility to health care, and advance health-related research.

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Nursing Informatics

SNOMED CT – The Systematized Nomenclature of Medical Clinical Terms (a consistent way to describe medical disease, diagnoses, and symptoms)

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SNOMED CT – The Systematized Nomenclature of Medical Clinical Terms

  • Provides the core medical terminology used in recording clinical data in the EHR. It is a globally recognized controlled healthcare vocabulary that provides a common language for electronic health applications.

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Nursing Informatics

Downtime / Nursing Informatics Reading and Sharing

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Downtime refers to the period of time when an information system is not operational or available for use. Some systems have daily scheduled downtimes, during which maintenance and backup procedures are performed.

Examples of amount of downtime criteria for an information system:

  1. Provides 24-hour system availability with no scheduled daily downtime
  2. Does not have a history of prolonged or frequent unscheduled downtimes
  3. for open repository and comprehensive patient records, minimal downtime should be standard
  4. Most system changes should be able to be made without bringing complete system

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Nursing Informatics

Dirty Data / Nursing Informatics Reading and Sharing

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Data are classified as “dirty” when the database contains errors that render the data inaccurate. This compromises the data integrity. Dirty data may result from human errors in entering data, such as misspelling a name or incorrectly entering an ID number. Dirty data may also result from viruses, worms, or other bugs installed into a system. Hackers may enter a system and alter or remove data. Hardware and software may fail, corrupting or destroying data.