MEDEMAS -Medical Device Management and Maintenance System Architecture

Author(s):  
Ülkü Balcı Dog̃an ◽  
Mehmet Ug̃ur Dog̃an ◽  
Yekta Ülgen ◽  
Mehmed Özkan
Author(s):  
Anuchit Nirapai ◽  
Anantasak Wongkamhang ◽  
Manas Sangworasil ◽  
Ratchanee Saosuwan ◽  
Phannarin Yotthuan ◽  
...  

2012 ◽  
Author(s):  
Ginger Shao ◽  
David Goldstein ◽  
Kyusung Kim ◽  
Emmanuel Nwadiogbu ◽  
Rudy Proenza ◽  
...  

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e039490
Author(s):  
Alix Marie Pouget ◽  
Elodie Civade ◽  
Philippe Cestac ◽  
Charlotte Rouzaud-Laborde

IntroductionClinical pharmacy improves patient safety and secures drug management using information, education and good clinical practices. However, medical device management is still unexplored, and proof of effectiveness is needed. A PICC line (peripherally inserted central catheter) is a medical device for infusion. It accesses the central venous system after being implanted in a peripheral vein. However, complications after implantation often interfere with smooth execution of the treatment. We hypothesise that clinical pharmacy for medical devices could be as effective as clinical pharmacy for medications. The main objective is to assess the effectiveness of clinical pharmacy activities on the complication rate after PICC line implantation.Methods and analysisThis is a before–after prospective study. The study will begin with an observational period without clinical pharmacy activities, followed by an interventional period where pharmacists will intervene on drug and medical device management and provide personalised follow-up and advice. Sixty-nine adult patients will be recruited in each 6-month period from all traditional care units. The main inclusion criteria will be the implantation of a PICC line. The primary outcome is the decrease in the number of complications per patient and per month. Secondary outcomes are the consultation and hospital readmission rates, the acceptance rate of pharmaceutical interventions, the patients’ quality of life, the direct hospital induced or avoided costs and the participants’ satisfaction. Data will be collected using case report forms during hospitalisation and telephone follow-up after discharge. The analysis will compare these criteria during the two periods.Ethics and disseminationThe study has received the approval of our Ethics Committee (Clermont-Ferrand Southeast VI, France, number AU1586). Results will be made available to the patients or their caregivers, the sponsor and other researchers when asked, as described in the consent form.Trial registration numberNCT04359056.


Author(s):  
Lejla Gurbeta Pokvic ◽  
Lemana Spahic ◽  
Almir Badnjevic

Due to the development of information communication technologies (ICT), the number of medical devices (MDs) with telemetric possibilities is rising, so the concept of homecare is gaining importance. Also, new generation medical devices are equipped with artificial intelligence that is able to perform real-time analysis of measurement result and provide diagnosis prediction. This is the Industry 4.0 happening now. However, there is still traditional approach in management of medical devices. As medical devices have been sophisticated, management systems should improve so they can encompass all the important aspects regarding safety of patients and quality of care. This chapter presents how the technology of Industry 4.0 can be used to improve medical device maintenance systems by application of artificial intelligence (AI). Clinical engineering and health technology management departments benefit from such systems in terms of increase of safety and quality of patient diagnosis and treatments, and cost optimization in medical device management.


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