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Studying the Effect of Online Medical Applications on Patients Healing Time and Doctors Utilization Using Discrete Event Simulation
Karlstads universitet, Fakulteten för humaniora och samhällsvetenskap (from 2013), Handelshögskolan (from 2013).
Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013), Institutionen för matematik och datavetenskap (from 2013).ORCID-id: 0000-0002-4825-8831
2019 (Engelska)Konferensbidrag, Muntlig presentation med publicerat abstract (Refereegranskat)
Abstract [en]

Online Medical Applications (OMA) has evolved dramatically in the last few years, and, consequently, the number of patients using it has also grown exponentially. Patients who are seeking non-emergency but immediate medical services or consultant may save time and money by approaching online doctors through OMAs instead of visiting them physically in healthcare centers. Additionally, medical doctors quantity contributing to OMAs growth, which can affect patients average waiting time and the queue size in healthcare centers. In this paper, We have developed a Discrete Event Simulation (DES) model to study the effects of using OMA on the patients healing time and doctors utilization by comparing it with the same process in healthcare centers. Additionaly, we compared patients average queue size, maximum number of patients in the queue, and total number of healed patients in our study. The results of this simulation showed that the healing process in OMA could serve the same number of patients in ~46% shorter time compared to healthcare centers with ~5.7% less doctors’ utilization.

Ort, förlag, år, upplaga, sidor
2019.
Nyckelord [en]
discrete event simulation, ehealth, modeling, queuing theory, telemedicine
Nationell ämneskategori
Data- och informationsvetenskap
Forskningsämne
Hälso- och sjukvårdsadministration; Datavetenskap; Hälso- och sjukvårdsadministration; Folkhälsovetenskap
Identifikatorer
URN: urn:nbn:se:kau:diva-75998OAI: oai:DiVA.org:kau-75998DiVA, id: diva2:1379319
Konferens
IEEE International Conference on e-Health and Bioengineering (EHB) 2019
Tillgänglig från: 2019-12-16 Skapad: 2019-12-16 Senast uppdaterad: 2020-01-10

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Boodaghian Asl, ArsinehGokan Khan, Michel

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Boodaghian Asl, ArsinehGokan Khan, Michel
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Handelshögskolan (from 2013)Institutionen för matematik och datavetenskap (from 2013)
Data- och informationsvetenskap

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