June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Digital Rapresentation Of Health Data To Improve Disease Diagnosis And Treatment Of Degenerative And Vascular Disease Of The Retina And Macula. (I-Maculaweb Project)
Author Affiliations & Notes
  • Riccardo Scotto
    DINOGMI, Eye Clinic, Genova, Italy
  • Raffaella Rosa
    DINOGMI, Eye Clinic, Genova, Italy
  • Donatella Musetti
    DINOGMI, Eye Clinic, Genova, Italy
  • Maria Musolino
    DINOGMI, Eye Clinic, Genova, Italy
  • Mauro Gacomini
    DIBRIS, University of Genoa, Genova, Italy
  • Monica Bonetto
    DIBRIS, University of Genoa, Genova, Italy
  • Paolo Fraccaro
    DIBRIS, University of Genoa, Genova, Italy
  • Carlo Enrico Traverso
    DINOGMI, Eye Clinic, Genova, Italy
  • Massimo Nicolò
    DINOGMI, Eye Clinic, Genova, Italy
  • Footnotes
    Commercial Relationships Riccardo Scotto, None; Raffaella Rosa, None; Donatella Musetti, None; Maria Musolino, None; Mauro Gacomini, None; Monica Bonetto, None; Paolo Fraccaro, None; Carlo Traverso, None; Massimo Nicolò, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 1376. doi:
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      Riccardo Scotto, Raffaella Rosa, Donatella Musetti, Maria Musolino, Mauro Gacomini, Monica Bonetto, Paolo Fraccaro, Carlo Enrico Traverso, Massimo Nicolò; Digital Rapresentation Of Health Data To Improve Disease Diagnosis And Treatment Of Degenerative And Vascular Disease Of The Retina And Macula. (I-Maculaweb Project). Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):1376.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose: To provide physicians a clinical decision support system in the context of degenerative and vascular disease of the retina.

Methods: I-Maculaweb is based on a model already available. The unique and innovative scientific and technological element of the project is the integration with the individual and population data relevant for the degenerative and vascular diseases of the macula. The system is able to integrate the inclusion criteria for the identification of subjects to be enrolled for clinical trials. The proposed system take advantage of the personal medical data accumulated over time and different diagnostic and treatment algorithms in order to be a Clinical Decision Support System.

Results: The system operates from March 2013. Until December 2014, 1067 patients had been registered. Moreover, 3479 visits, 1455 intravitreal injections and 246 laser treatments have been saved in the database. More frequent diagnosis are Age-related Macular Degeneration (386 patients), Diabetic Retinopathy (199 patients), Central Serous Chorioretinopathy (104 patients) and retinal vein occlusion (49 patients).

Conclusions: The web-platform allows effective management, sharing and reuse of clinical information within primary care and clinical research. The system is user-friendly and can be effectively integrated into the physician workflow and real-life.

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