A quality-based real-time information management system within a medical environment: The case of falls assessment

John O'Donoghue, John Herbert, David Sammon, Kieran O'Connor

Research output: Contribution to conferencePaperpeer-review

Abstract

A number of our daily decisions are based on information which may have originated from multiple sources e.g. patient sensors, data warehouses, etc. If a data source contains inaccurate or faulty information then the resulting actions are likely to be erroneous resulting in loss of revenue or endangering a patient's life. From this basis it is essential that data quality measures are employed at all levels from the lowest (e.g. sensor) to the highest (e.g. dashboards or other data delivery services). In this paper we evaluate the three layers of the Data Management System (DMS) generic architecture (data collection, correlation and presentation), and specifically illustrate the ability of the DMS to deliver services and high quality patient centric information to geriatric physicians in the area of falls assessment. This paper reports on the first stage of a larger ongoing research project where the DMS architecture is being extended for use in falls assessment.

Original languageEnglish
Pages335-342
Number of pages8
Publication statusPublished - 2008
Externally publishedYes
Event2nd European Conference on Information Management and Evaluation, ECIME 2008 - London, United Kingdom
Duration: 11 Sep 200812 Sep 2008

Conference

Conference2nd European Conference on Information Management and Evaluation, ECIME 2008
Country/TerritoryUnited Kingdom
CityLondon
Period11/09/0812/09/08

Keywords

  • DMS architecture
  • Evaluation
  • Falls assessment
  • Information quality
  • Medical
  • Sensors

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