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Computational Strategy for the Generation of the Clinical Histories of Patients with Diabetic Foot

clinical histories generator
diabetic foot
early diagnostic & therapy
blood flow
Ilse Anahi Torres, Lorenzo Leija, Arturo Vera, Josefina Gutiérrez, Antonio Ramos
Chapter in Book “Conference on Medical and Biological Engineering and Computing - MEDICON”. (IFMBE, vol. 76), Springer Nature Switzerland AG 2020(pp. 1499-1505)
http://dx.doi.org/10.1007/978-3-030-31635-8_187

In patients, suffering diabetes mellitus by long time, the pathology of the diabetic foot is a consequence of that serious disease, appearing in many cases. This problem can be prevented through the evaluation and tracking of certain physical characteristics into tissues composing the patient feet, in such a way that, specific therapies could be applied. For instance, the blood flow in some foot zones is correlated with the tissues health status. Moreover, it would be possible to follow the effectiveness of some applicable preventive therapies, through a protocol based on regular clinical measurements. Here we explain the strategy used to generate a computer system, designed to dynamically create and maintain the medical records of patients with diabetic foot. The system can be used through a Web site, specialized in diabetic foot, including clinical and researching institutions having the possibility of sharing a complete information about many patients with diabetes: (i) data logging about patient medical histories, (ii) medical diagnostic observations, (iii) distinct therapeutic prescriptions, (iv) particular notes of the treating medical specialist, (v) and to follow-up the evolution of ulcers or predictive changes in the areas most prone to ulcerations. This powerful computational tool was designed for an easy handling, and an efficient inter-communication of a main server with a number of user computers connected through a medical network. Some results for “diabetic foot” tracking are shown. From its use by medical specialists and their successive observations, adjustments in the initial programming and possible extensions of this clinical tool are expected in the future.

Acknowledgment

We thank to the group of Biomedical engineering and medical specialists in diabetic foot of the INR-LGII for their support and guidance in the definition and elaboration of this virtual platform for diabetic foot. Thanks to MSc. José Hugo Zepeda Peralta and MSc. Rubén Pérez Valladares for their important collaboration. We appreciate the funding of projects: R&D Spanish National Plan DPI2017-90147-R, EraNet-EMHE-CSIC 200022 and the R&D Network CYTED-Ditecrod-218RT0545.

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