Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities

Alessandro Camerotto; Vincenza Truppo; Alessia Pozzato; Simone Bedendo; Gabriele Angiolelli; Arianna Lucchiari; Massimo Tosini; Alessandra Saggin; Francesco Noce; Stefano Rigo; Alessio Gasparetto; Roberto Mencarelli

doi:doi:10.11648/j.ajcem.20170504.13

Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities

Alessandro Camerotto, Vincenza Truppo, Alessia Pozzato, Simone Bedendo, Gabriele Angiolelli, Arianna Lucchiari, Massimo Tosini, Alessandra Saggin, Francesco Noce, Stefano Rigo, Alessio Gasparetto, Roberto Mencarelli

Published in American Journal of Clinical and Experimental Medicine (Volume 5, Issue 4)

Received: 9 June 2017 Accepted: 9 June 2017 Published: 22 June 2017

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Abstract

Laboratory tests play an important role in the diagnostic process. Unfortunately, their utility is at present affected by a significant rate of inappropriate prescriptions. The current strategies to solve the problem are not adequate. The aim of this study is to propose a structural solution through the Health Information Technology. Between the years 2008 and 2010, a methodology to prescribe laboratory tests with the aid of a Decision Support System (DSS), denomened Ermete, has been tested in collaboration with General Practitioners of Local Health Authorities of Rovigo and Mirano. The DSS, during the process of prescription, showed indications of appropriateness in real time and the general practitioner might or might not accept the indication. The number of prescriptions processed with DSS was compared with the number of prescriptions issued by the same physicians, in the same period of the previous year, without the assistance of the DSS. Results showed a decrease of the total number of prescriptions when the DSS was used. The reduction rate was 37.2% in Rovigo and 26.1% in Mirano. The achieved results showed that it is possible to perform the governance of prescriptions without political and administrative actions. The DSS was effective in reducing inappropriateness and in managing knowledge.

Published in	American Journal of Clinical and Experimental Medicine (Volume 5, Issue 4)
DOI	10.11648/j.ajcem.20170504.13
Page(s)	115-122
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Decision Support System, Inappropriateness, Health Information Technology, Knowledge Management

References

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APA Style

Alessandro Camerotto, Vincenza Truppo, Alessia Pozzato, Simone Bedendo, Gabriele Angiolelli, et al. (2017). Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities. American Journal of Clinical and Experimental Medicine, 5(4), 115-122. https://doi.org/10.11648/j.ajcem.20170504.13

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ACS Style

Alessandro Camerotto; Vincenza Truppo; Alessia Pozzato; Simone Bedendo; Gabriele Angiolelli, et al. Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities. Am. J. Clin. Exp. Med. 2017, 5(4), 115-122. doi: 10.11648/j.ajcem.20170504.13

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AMA Style

Alessandro Camerotto, Vincenza Truppo, Alessia Pozzato, Simone Bedendo, Gabriele Angiolelli, et al. Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities. Am J Clin Exp Med. 2017;5(4):115-122. doi: 10.11648/j.ajcem.20170504.13

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@article{10.11648/j.ajcem.20170504.13,
  author = {Alessandro Camerotto and Vincenza Truppo and Alessia Pozzato and Simone Bedendo and Gabriele Angiolelli and Arianna Lucchiari and Massimo Tosini and Alessandra Saggin and Francesco Noce and Stefano Rigo and Alessio Gasparetto and Roberto Mencarelli},
  title = {Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities},
  journal = {American Journal of Clinical and Experimental Medicine},
  volume = {5},
  number = {4},
  pages = {115-122},
  doi = {10.11648/j.ajcem.20170504.13},
  url = {https://doi.org/10.11648/j.ajcem.20170504.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20170504.13},
  abstract = {Laboratory tests play an important role in the diagnostic process. Unfortunately, their utility is at present affected by a significant rate of inappropriate prescriptions. The current strategies to solve the problem are not adequate. The aim of this study is to propose a structural solution through the Health Information Technology. Between the years 2008 and 2010, a methodology to prescribe laboratory tests with the aid of a Decision Support System (DSS), denomened Ermete, has been tested in collaboration with General Practitioners of Local Health Authorities of Rovigo and Mirano. The DSS, during the process of prescription, showed indications of appropriateness in real time and the general practitioner might or might not accept the indication. The number of prescriptions processed with DSS was compared with the number of prescriptions issued by the same physicians, in the same period of the previous year, without the assistance of the DSS. Results showed a decrease of the total number of prescriptions when the DSS was used. The reduction rate was 37.2% in Rovigo and 26.1% in Mirano. The achieved results showed that it is possible to perform the governance of prescriptions without political and administrative actions. The DSS was effective in reducing inappropriateness and in managing knowledge.},
 year = {2017}
}

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TY  - JOUR
T1  - Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities
AU  - Alessandro Camerotto
AU  - Vincenza Truppo
AU  - Alessia Pozzato
AU  - Simone Bedendo
AU  - Gabriele Angiolelli
AU  - Arianna Lucchiari
AU  - Massimo Tosini
AU  - Alessandra Saggin
AU  - Francesco Noce
AU  - Stefano Rigo
AU  - Alessio Gasparetto
AU  - Roberto Mencarelli
Y1  - 2017/06/22
PY  - 2017
N1  - https://doi.org/10.11648/j.ajcem.20170504.13
DO  - 10.11648/j.ajcem.20170504.13
T2  - American Journal of Clinical and Experimental Medicine
JF  - American Journal of Clinical and Experimental Medicine
JO  - American Journal of Clinical and Experimental Medicine
SP  - 115
EP  - 122
PB  - Science Publishing Group
SN  - 2330-8133
UR  - https://doi.org/10.11648/j.ajcem.20170504.13
AB  - Laboratory tests play an important role in the diagnostic process. Unfortunately, their utility is at present affected by a significant rate of inappropriate prescriptions. The current strategies to solve the problem are not adequate. The aim of this study is to propose a structural solution through the Health Information Technology. Between the years 2008 and 2010, a methodology to prescribe laboratory tests with the aid of a Decision Support System (DSS), denomened Ermete, has been tested in collaboration with General Practitioners of Local Health Authorities of Rovigo and Mirano. The DSS, during the process of prescription, showed indications of appropriateness in real time and the general practitioner might or might not accept the indication. The number of prescriptions processed with DSS was compared with the number of prescriptions issued by the same physicians, in the same period of the previous year, without the assistance of the DSS. Results showed a decrease of the total number of prescriptions when the DSS was used. The reduction rate was 37.2% in Rovigo and 26.1% in Mirano. The achieved results showed that it is possible to perform the governance of prescriptions without political and administrative actions. The DSS was effective in reducing inappropriateness and in managing knowledge.
VL  - 5
IS  - 4
ER  -

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Author Information

Alessandro Camerotto

Department of Clinical Pathology, Local Health Authority, Rovigo, Italy
Vincenza Truppo

Department of Clinical Pathology, Local Health Authority, Rovigo, Italy
Alessia Pozzato

Department of Obstetrics and Gynecology, Local Health Authority, Rovigo, Italy
Simone Bedendo

Department of Clinical Pathology, Local Health Authority, Rovigo, Italy
Gabriele Angiolelli

Health and Social Care, Local Health Authority, Mirano, Italy
Arianna Lucchiari

Department of Clinical Pathology, Local Health Authority, Rovigo, Italy
Massimo Tosini

Italian Association of Public Health Sociology, Ferrara, Italy
Alessandra Saggin

SDA- Bocconi School of Management, Milan, Italy
Francesco Noce

General Practice, Local Health Authority, Rovigo, Italy
Stefano Rigo

Department of General Medicine, Local Health Authority, Mirano, Italy
Alessio Gasparetto

Information Technology, Local Health Authority, Rovigo, Italy
Roberto Mencarelli

Department of Clinical Pathology, Local Health Authority, Rovigo, Italy

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Alessandro Camerotto, Vincenza Truppo, Alessia Pozzato, Simone Bedendo, Gabriele Angiolelli, et al. (2017). Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities. American Journal of Clinical and Experimental Medicine, 5(4), 115-122. https://doi.org/10.11648/j.ajcem.20170504.13

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ACS Style

Alessandro Camerotto; Vincenza Truppo; Alessia Pozzato; Simone Bedendo; Gabriele Angiolelli, et al. Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities. Am. J. Clin. Exp. Med. 2017, 5(4), 115-122. doi: 10.11648/j.ajcem.20170504.13

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AMA Style

Alessandro Camerotto, Vincenza Truppo, Alessia Pozzato, Simone Bedendo, Gabriele Angiolelli, et al. Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities. Am J Clin Exp Med. 2017;5(4):115-122. doi: 10.11648/j.ajcem.20170504.13

Copy | Download

@article{10.11648/j.ajcem.20170504.13,
  author = {Alessandro Camerotto and Vincenza Truppo and Alessia Pozzato and Simone Bedendo and Gabriele Angiolelli and Arianna Lucchiari and Massimo Tosini and Alessandra Saggin and Francesco Noce and Stefano Rigo and Alessio Gasparetto and Roberto Mencarelli},
  title = {Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities},
  journal = {American Journal of Clinical and Experimental Medicine},
  volume = {5},
  number = {4},
  pages = {115-122},
  doi = {10.11648/j.ajcem.20170504.13},
  url = {https://doi.org/10.11648/j.ajcem.20170504.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajcem.20170504.13},
  abstract = {Laboratory tests play an important role in the diagnostic process. Unfortunately, their utility is at present affected by a significant rate of inappropriate prescriptions. The current strategies to solve the problem are not adequate. The aim of this study is to propose a structural solution through the Health Information Technology. Between the years 2008 and 2010, a methodology to prescribe laboratory tests with the aid of a Decision Support System (DSS), denomened Ermete, has been tested in collaboration with General Practitioners of Local Health Authorities of Rovigo and Mirano. The DSS, during the process of prescription, showed indications of appropriateness in real time and the general practitioner might or might not accept the indication. The number of prescriptions processed with DSS was compared with the number of prescriptions issued by the same physicians, in the same period of the previous year, without the assistance of the DSS. Results showed a decrease of the total number of prescriptions when the DSS was used. The reduction rate was 37.2% in Rovigo and 26.1% in Mirano. The achieved results showed that it is possible to perform the governance of prescriptions without political and administrative actions. The DSS was effective in reducing inappropriateness and in managing knowledge.},
 year = {2017}
}

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TY  - JOUR
T1  - Ermete: A Decision Support System for an Innovative Management of Knowledge and Prescription in Laboratory Medicine: A Trial of Two Italian Local Health Authorities
AU  - Alessandro Camerotto
AU  - Vincenza Truppo
AU  - Alessia Pozzato
AU  - Simone Bedendo
AU  - Gabriele Angiolelli
AU  - Arianna Lucchiari
AU  - Massimo Tosini
AU  - Alessandra Saggin
AU  - Francesco Noce
AU  - Stefano Rigo
AU  - Alessio Gasparetto
AU  - Roberto Mencarelli
Y1  - 2017/06/22
PY  - 2017
N1  - https://doi.org/10.11648/j.ajcem.20170504.13
DO  - 10.11648/j.ajcem.20170504.13
T2  - American Journal of Clinical and Experimental Medicine
JF  - American Journal of Clinical and Experimental Medicine
JO  - American Journal of Clinical and Experimental Medicine
SP  - 115
EP  - 122
PB  - Science Publishing Group
SN  - 2330-8133
UR  - https://doi.org/10.11648/j.ajcem.20170504.13
AB  - Laboratory tests play an important role in the diagnostic process. Unfortunately, their utility is at present affected by a significant rate of inappropriate prescriptions. The current strategies to solve the problem are not adequate. The aim of this study is to propose a structural solution through the Health Information Technology. Between the years 2008 and 2010, a methodology to prescribe laboratory tests with the aid of a Decision Support System (DSS), denomened Ermete, has been tested in collaboration with General Practitioners of Local Health Authorities of Rovigo and Mirano. The DSS, during the process of prescription, showed indications of appropriateness in real time and the general practitioner might or might not accept the indication. The number of prescriptions processed with DSS was compared with the number of prescriptions issued by the same physicians, in the same period of the previous year, without the assistance of the DSS. Results showed a decrease of the total number of prescriptions when the DSS was used. The reduction rate was 37.2% in Rovigo and 26.1% in Mirano. The achieved results showed that it is possible to perform the governance of prescriptions without political and administrative actions. The DSS was effective in reducing inappropriateness and in managing knowledge.
VL  - 5
IS  - 4
ER  -

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