Mogućnosti optimiranja unutarnjeg transporta u bolnicama

undergraduate thesis

• Title (english): Possibilities of optimizing internal transport in hospitals
• Author: Valentina Bazina
• Mentor: Zoran Kunica (mentor)
• Granter: University of Zagreb; Faculty of Mechanical Engineering and Naval Architecture; Zagreb
• Defense date and country: 2024-09-26, Croatia
• Scientific / art field, discipline and subdiscipline: TECHNICAL SCIENCES; Mechanical Engineering

Abstract

U zdravstvenim ustanovama gužve i dugo vrijeme čekanja uobičajeni su i česti izazovi,
koji terete i pacijente i zdravstveno osoblje. Potrebe za zdravstvenim uslugama su velike, a
zdravstvenih radnika nema dovoljno, što dovodi do njihove preopterećenosti poslom i
izazovima u pružanju zdravstvene skrbi pacijentima. Velik utjecaj na organizaciju i brzinu
izvođenja aktivnosti unutar bolnice ima upravo unutarnji transport. U bolnicama su
svakodnevno prisutni različiti tokovi materijala i ljudi koji su zahtjevni u pogledu potrebne
brojnosti zdravstvenog osoblja. Suvremene tehnologije nude potencijalna rješenja kojima
roboti i drugi tehnički sustavi preuzimaju neke aspekte tih tokova na sebe umjesto
zdravstvenih radnika. Autonomni i pametni uređaji za transport sve su češća pojava u
suvremenim bolnicama kao pomoć u prijevozu lijekova, opreme i ostalih potrepština ali i
pacijenata. U ovom je radu stoga predstavljen koncept robota za transport pacijenata unutar
bolnice koristeći mobilni robot OMRON LD-250 ESD kao autonomnu platformu.
Autonomno kretanje, navigacija pomoću umjetne inteligencije i senzori za izbjegavanje
prepreka, omogućili bi ovom robotu prijevoz pacijenata među odjelima bolnice bez
asistencije osoblja. Također bi se pomoću s robotom integriranog ergonomskog sjedala
Memory Line osigurala udobnost i sigurnost pacijenata tijekom prijevoza. Dodatno je
predložen plan unutarnjeg transporta pacijenata za odabranu bolnicu u Hrvatskoj korištenjem
navedenog autonomnog robota.

Abstract (english)

In healthcare institutions, overcrowding and long waiting times are common and frequent
challenges, burdening both patients and healthcare staff. The demand for healthcare services
is high, while there is a shortage of healthcare workers, leading to work overload and
challenges in providing patient care. Internal transport has a significant impact on the
organization and speed of activities within the hospital. Hospitals experience daily flows of
materials and people that place high demands on the necessary number of healthcare staff.
Modern technologies offer potential solutions where robots and other technical systems take
over some aspects of these flows instead of healthcare workers. Autonomous and intelligent
transport devices are increasingly common in modern hospitals, assisting in the transportation
of medicines, equipment, supplies, and even patients. This paper presents a concept for
patient transport within a hospital using the mobile robot OMRON LD-250 ESD as an
autonomous platform. Autonomous movement, AI-based navigation, and obstacle-avoidance
sensors would allow this robot to transport patients between hospital departments without
staff assistance. Additionally, the integration of an ergonomic Memory Line seat with the
robot would ensure comfort and safety for patients during transport. A plan for internal
patient transport using the aforementioned autonomous robot has also been proposed for a
selected hospital in Croatia.

• Keywords: zdravstvo; unutarnji transport; tok ljudi; mobilni robot; autonomni robot
• Keywords (english): healthcare; internal transport; people flow; autonomous robot; mobile robot
• Language: croatian
• URN:NBN: urn:nbn:hr:235:715606
• Study programme: Title: Mechanical Engineering; Study programme type: university; Study level: undergraduate; Academic / professional title: sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva (sveučilišni/a prvostupnik/prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka strojarstva)
• Type of resource: Text
• File origin: Born digital
• Access conditions: Open access
• Created on: 2024-09-24 12:45:01