Skip to main content

Software for Diagnostics of Mitral Valve Prolapse: Economic Implications

  • Conference paper
  • First Online:
Advances in Human Factors and System Interactions (AHFE 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 265))

Included in the following conference series:

  • 941 Accesses

Abstract

This paper proposes innovation through “translation” of phonocardiogram signal obtained from electronic stethoscope into an algorithm, procedure and software that gives an opportunity to each primary-care physician either in town or hardly reachable countryside to reliably and cost effectively diagnose mitral valve prolapsed (MVP) without engagement of resources such as highly specialized diagnostic methods that are available only in modern clinical centers, expensive equipment and complex training of experienced cardiologists for interpretation of results together with high maintenance costs analysis its cost-effectiveness. Till now very few research address the cost-effectiveness of various approaches to the patient undergoing medical evaluation, so this paper analyses the economic feasibility of MVP software application through cost-benefit framework. The pay-back period of the invested funds is 4 years and it represents a good investment, while critical sales price is 159 euros per software license and switching number of installations is 429 units.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Avierinos, J.F., et al.: Natural history of asymptomatic mitral valve prolapse in the community. Circulation 106(11), 1355–1361 (2002)

    Article  Google Scholar 

  2. Delling, F.N., Vasan, R.S.: Epidemiology and pathophysiology of mitral valve prolapse: new insights into disease progression, genetics, and molecular basis. Circulation 129(21), 2158–2170 (2014)

    Article  Google Scholar 

  3. França, H.H.: An interpretation-mitral valve prolapse syndrome. Arq. Bras. Cardiol. 74(5), 453–458 (2000)

    Article  Google Scholar 

  4. Savage, D.D., et al.: Mitral valve prolapse in the general population. I. Epidemiologic features: the Framingham study. Am. Heart J. 106(3), 571–576 (1983)

    Article  Google Scholar 

  5. Avierinos, J.F., Inamo, J., Grigioni, F., Gersh, B., Shub, C., Enriquez-Sarano, M.: Sex differences in morphology and outcomes of mitral valve prolapse. Ann. Intern. Med. 149(11), 787–794 (2008)

    Article  Google Scholar 

  6. Weiner, S.X.: I can’t afford that! J. Gen. Intern. Med. 16(6), 412–418 (2008)

    Article  Google Scholar 

  7. Garry, D.J., Wilson, R.F., Vlodaver, Z. (eds.): Congestive Heart Failure and Cardiac Transplantation: Clinical, Pathology, Imaging and Molecular Profiles. Springer, New York (2017). https://doi.org/10.1007/978-3-319-44577-9

  8. WIPO base. https://worldwide.espacenet.com/. Accessed 18 Oct 2020

  9. Beller, M.: Pascual Jordan’s influence on the discovery of Heisenberg’s indeterminacy principle. Arch. Hist. Exact Sci. 33(4), 337–349 (1985)

    Article  MathSciNet  Google Scholar 

  10. Bey, N.Y.: Multi-resolution Fourier analysis part I: fundamentals. Int. J. Commun. Network Syst. Sci. 4(06), 364 (2011)

    Google Scholar 

  11. Canal, M.R.: Comparison of wavelet and short time Fourier transform methods in the analysis of EMG signals. J. Med. Syst. 34(1), 91–94 (2010)

    Article  MathSciNet  Google Scholar 

  12. Maurya, M.R., Rengaswamy, R., Venkatasubramanian, V.: Fault diagnosis using dynamic trend analysis: a review and recent developments. Eng. Appl. Artif. Intell. 20(2), 133–146 (2007)

    Article  Google Scholar 

  13. Maglogiannis, I.: Introducing intelligence in electronic healthcare systems: state of the art and future trends. In: Bramer, M. (ed.) Artificial Intelligence An International Perspective. LNCS (LNAI), vol. 5640, pp. 71–90. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-03226-4_5

    Chapter  Google Scholar 

  14. World Health Organization. Hearts: technical package for cardiovascular disease management in primary health care (2020)

    Google Scholar 

  15. Gaziano, T.A.: Cardiovascular disease in the developing world and its cost-effective management. Circulation 112(23), 3547–3553 (2005)

    Article  Google Scholar 

  16. Bonow, R.O.: 2009 ASNC keynote lecture: measuring cost, cost-effectiveness, and quality in cardiovascular imaging. J. Nucl. Cardiol. 17(3), 362–369 (2010)

    Article  Google Scholar 

  17. Harmon, K.G., Drezner, J.A., O’Connor, F.G., Asplund, C., Finnoff, J.T.: Should electrocardiograms be part of the preparticipation physical examination? PM R 8, S24–S35 (2016)

    Article  Google Scholar 

  18. Arrieta, A., Woods, J.R., Qiao, N., Jay, S.J.: Cost-benefit analysis of home blood pressure monitoring in hypertension diagnosis and treatment: an insurer perspective. Hypertension 64(4), 891–896 (2014)

    Article  Google Scholar 

Download references

Acknowledgments

This paper is supported by grant from the Ministry of Education, Science and Technological Development and contract 451–03-68/2020–14/200105 (subproject TR 35017).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Vesna Spasojevic Brkić .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Brkić, V.S., Radojević, S., Dondur, N., Veljković, Z., Macura, M. (2021). Software for Diagnostics of Mitral Valve Prolapse: Economic Implications. In: Nunes, I.L. (eds) Advances in Human Factors and System Interactions. AHFE 2021. Lecture Notes in Networks and Systems, vol 265. Springer, Cham. https://doi.org/10.1007/978-3-030-79816-1_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-79816-1_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-79815-4

  • Online ISBN: 978-3-030-79816-1

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics