Literature DB >> 29846812

Using OPC and HL7 Standards to Incorporate an Industrial Big Data Historian in a Health IT Environment.

Márcio Freire Cruz1, Carlos Arthur Mattos Teixeira Cavalcante2, Sérgio Torres Sá Barretto2.   

Abstract

Health Level Seven (HL7) is one of the standards most used to centralize data from different vital sign monitoring systems. This solution significantly limits the data available for historical analysis, because it typically uses databases that are not effective in storing large volumes of data. In industry, a specific Big Data Historian, known as a Process Information Management System (PIMS), solves this problem. This work proposes the same solution to overcome the restriction on storing vital sign data. The PIMS needs a compatible communication standard to allow storing, and the one most commonly used is the OLE for Process Control (OPC). This paper presents a HL7-OPC Server that permits communication between vital sign monitoring systems with PIMS, thus allowing the storage of long historical series of vital signs. In addition, it carries out a review about local and cloud-based Big Medical Data researches, followed by an analysis of the PIMS in a Health IT Environment. Then it shows the architecture of HL7 and OPC Standards. Finally, it shows the HL7-OPC Server and a sequence of tests that proved its full operation and performance.

Keywords:  Big data historian; HL7; OLE for process control; PIMS; Vital signs

Mesh:

Year:  2018        PMID: 29846812     DOI: 10.1007/s10916-018-0979-5

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  16 in total

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Authors:  A L Goldberger; L A Amaral; L Glass; J M Hausdorff; P C Ivanov; R G Mark; J E Mietus; G B Moody; C K Peng; H E Stanley
Journal:  Circulation       Date:  2000-06-13       Impact factor: 29.690

2.  An interoperability test framework for HL7-based systems.

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Journal:  IEEE Trans Inf Technol Biomed       Date:  2009-03-16

3.  HL7 engine module for healthcare information systems.

Authors:  Thamer Al-Enazi; Samir El-Masri
Journal:  J Med Syst       Date:  2013-10-25       Impact factor: 4.460

4.  Longitudinal analysis of one million vital signs in patients in an academic medical center.

Authors:  Anthony J Bleyer; Sri Vidya; Gregory B Russell; Catherine M Jones; Leon Sujata; Pirouz Daeihagh; Donald Hire
Journal:  Resuscitation       Date:  2011-07-03       Impact factor: 5.262

5.  An effective model for store and retrieve big health data in cloud computing.

Authors:  Zohreh Goli-Malekabadi; Morteza Sargolzaei-Javan; Mohammad Kazem Akbari
Journal:  Comput Methods Programs Biomed       Date:  2016-04-19       Impact factor: 5.428

6.  University of Queensland vital signs dataset: development of an accessible repository of anesthesia patient monitoring data for research.

Authors:  David Liu; Matthias Görges; Simon A Jenkins
Journal:  Anesth Analg       Date:  2011-12-20       Impact factor: 5.108

7.  A distributed framework for health information exchange using smartphone technologies.

Authors:  Mohamed Abdulnabi; Ahmed Al-Haiqi; M L M Kiah; A A Zaidan; B B Zaidan; Muzammil Hussain
Journal:  J Biomed Inform       Date:  2017-04-20       Impact factor: 6.317

8.  Nursing Needs Big Data and Big Data Needs Nursing.

Authors:  Patricia Flatley Brennan; Suzanne Bakken
Journal:  J Nurs Scholarsh       Date:  2015-08-19       Impact factor: 3.176

9.  Multi-parameter vital sign database to assist in alarm optimization for general care units.

Authors:  James Welch; Benjamin Kanter; Brooke Skora; Scott McCombie; Isaac Henry; Devin McCombie; Rosemary Kennedy; Babs Soller
Journal:  J Clin Monit Comput       Date:  2015-10-06       Impact factor: 2.502

10.  MIMIC-III, a freely accessible critical care database.

Authors:  Alistair E W Johnson; Tom J Pollard; Lu Shen; Li-Wei H Lehman; Mengling Feng; Mohammad Ghassemi; Benjamin Moody; Peter Szolovits; Leo Anthony Celi; Roger G Mark
Journal:  Sci Data       Date:  2016-05-24       Impact factor: 6.444

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  1 in total

1.  Structurally Mapping Healthcare Data to HL7 FHIR through Ontology Alignment.

Authors:  Athanasios Kiourtis; Argyro Mavrogiorgou; Andreas Menychtas; Ilias Maglogiannis; Dimosthenis Kyriazis
Journal:  J Med Syst       Date:  2019-02-05       Impact factor: 4.460

  1 in total

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