Visualization of Passively Extracted HL7 Production Metrics

Ricardo Ferreira, Manuel Eduardo Correia, Francisco Rocha-Gonçalves, Ricardo Cruz-Correia

2015

Abstract

The improvements made to healthcare IT systems made over the past years led to the creation of a multitude of different applications essential to the institutions daily operations. Aim: We aim to create and install a system capable of displaying production metrics for healthcare management with little requirements, efforts and software providers involved. Methods: We propose a system capable of displaying production metrics for healthcare facilities, by extracting HL7 messages and other eHealth relevant protocols directly from the institution´s network infrastructure. Our system is then able to populate a knowledge database with meaningful information derived from the gathered data. Results: Our system is currently being tested on a large healthcare facility where it extracts and analyses a daily average of 44,000 HL7 messages. The system is currently capable of inferring and displaying the daily distribution of healthcare related activities such as laboratory orders or even relevant billing information. Conclusion: HL7 messages moving over the network contain valuable information that can then be used to assess many relevant production metrics for the entire facility and from otherwise non-interoperable production systems that, in most cases, can only be seen as black boxes by other system integrators.

References

  1. Agarwal, D., González, J. M., Jin, G., and Tierney, B. (2003). An infrastructure for passive network monitoring of application data streams. Lawrence Berkeley National Laboratory.
  2. Barbarito, F., Pinciroli, F., Mason, J., Marceglia, S., Mazzola, L., and Bonacina, S. (2012). Implementing standards for the interoperability among healthcare providers in the public regionalized healthcare information system of the lombardy region. J. of Biomedical Informatics, 45(4):736-745.
  3. Barros, C. P., de Menezes, A. G., Peypoch, N., Solonandrasana, B., and Vieira, J. C. (2008). An analysis of hospital efficiency and productivity growth using the luenberger indicator. Health care management science, 11(4):373-381.
  4. Black, A. D., Car, J., Pagliari, C., Anandan, C., Cresswell, K., Bokun, T., McKinstry, B., Procter, R., Majeed, A., and Sheikh, A. (2011). The impact of ehealth on the quality and safety of health care: a systematic overview. PLoS medicine, 8(1):e1000387.
  5. Blaya, J. A., Fraser, H. S., and Holt, B. (2010). E-health technologies show promise in developing countries. Health Affairs, 29(2):244-251.
  6. Catwell, L. and Sheikh, A. (2009). Evaluating ehealth interventions: the need for continuous systemic evaluation. PLoS medicine, 6(8):e1000126.
  7. Chang, S.-J., Hsiao, H.-C., Huang, L.-H., and Chang, H. (2011). Taiwan quality indicator project and hospital productivity growth. Omega, 39(1):14-22.
  8. Corepoint Health (2010). http://www.corepointhealth.com/ whitepapers/why-do-i-need-hl7-interface-engine. [Online; accessed 2014/04/10].
  9. De Meo, P., Quattrone, G., and Ursino, D. (2011). Integration of the hl7 standard in a multiagent system to support personalized access to e-health services. Knowledge and Data Engineering, IEEE Transactions on, 23(8):1244-1260.
  10. Eichelberg, M., Aden, T., Riesmeier, J., Dogac, A., and Laleci, G. B. (2005). A survey and analysis of electronic healthcare record standards. ACM Comput. Surv., 37(4):277-315.
  11. Kreps, G. L. and Neuhauser, L. (2010). New directions in ehealth communication: Opportunities and challenges. Patient Education and Counseling, 78(3):329 - 336. Changing Patient Education.
  12. Linna, M. (1999). Health care financing reform and the productivity change in finnish hospitals. Journal of Health care finance, 26(3):83-100.
  13. National Audit Office (2010). Management of nhs hospital productivity. http://www.nao.org.uk/wp-content/ uploads/2010/12/1011491es.pdf. [Online; accessed 2014/05/10].
  14. Schweitzer, J. and Synowiec, C. (2012). The economics of ehealth and mhealth. Journal of health communication, 17(sup1):73-81.
  15. Solà, M. and Prior, D. (2001). Measuring productivity and quality changes using data envelopment analysis: an application to catalan hospitals. Financial Accountability & Management, 17(3):219-245.
  16. Yuksel, M. and Dogac, A. (2011). Interoperability of medical device information and the clinical applications: An hl7 rmim based on the iso/ieee 11073 dim. Information Technology in Biomedicine, IEEE Transactions on, 15(4):557-566.
Download


Paper Citation


in Harvard Style

Ferreira R., Eduardo Correia M., Rocha-Gonçalves F. and Cruz-Correia R. (2015). Visualization of Passively Extracted HL7 Production Metrics . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015) ISBN 978-989-758-068-0, pages 423-430. DOI: 10.5220/0005217604230430


in Bibtex Style

@conference{healthinf15,
author={Ricardo Ferreira and Manuel Eduardo Correia and Francisco Rocha-Gonçalves and Ricardo Cruz-Correia},
title={Visualization of Passively Extracted HL7 Production Metrics},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)},
year={2015},
pages={423-430},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005217604230430},
isbn={978-989-758-068-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2015)
TI - Visualization of Passively Extracted HL7 Production Metrics
SN - 978-989-758-068-0
AU - Ferreira R.
AU - Eduardo Correia M.
AU - Rocha-Gonçalves F.
AU - Cruz-Correia R.
PY - 2015
SP - 423
EP - 430
DO - 10.5220/0005217604230430