Pregled bibliografske jedinice broj: 1091171
Life cycle assessment and management in hospital units using applicable and robust dual group-based parameter model
Life cycle assessment and management in hospital units using applicable and robust dual group-based parameter model // Information and communication technology for intelligent systems : Proceedings of ICTIS 2020, Volume 2 / Senjyu, Tomonobu ; Mahalle, Parikshit M. ; Perumal, Thinagaran ; Joshi, Amit (ur.).
Singapur: Springer, 2021. str. 337-346 doi:10.1007/978-981-15-7062-9_33 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Life cycle assessment and management in hospital
units using
applicable and robust dual group-based parameter
model
(Life cycle assessment and management in hospital
units using applicable and robust dual group-based
parameter model)
Autori
Sarancha, Vitaly ; Mršić, Leo ; Orešković, Stjepan ; Sulyma, Vadim ; Kranjčec, Bojana ; Vitale, Ksenija
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Information and communication technology for intelligent systems : Proceedings of ICTIS 2020, Volume 2
/ Senjyu, Tomonobu ; Mahalle, Parikshit M. ; Perumal, Thinagaran ; Joshi, Amit - Singapur : Springer, 2021, 337-346
ISBN
978-981-15-7061-2
Skup
International Conference on Information and Communication Technology for Intelligent Systems (ICTIS 2020)
Mjesto i datum
Ahmedabad, Indija, 24.04.2020. - 25.04.2020
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
life cycle assessment ; life cycle management ; healthcare unit optimization ; robust dual group-based parameter model
Sažetak
Introduction: Complexity of hospital healthcare systems make it hard to manage using traditional statistical methods both in terms of describing their characteristics and in terms of the importance of qualitative parameters which have to be combined with quantitative ones. The aim of this work is to demonstrate robustness of dual group-based parameter model, following life cycle assessment and management principles (LCAM), with a goal to improve the efficiency of the Hospital Unit. Methods: This study was performed at the Department of Medical Biochemistry of the County Hospital. In the course of the study, we used elements of a LCAM principles combined with parametric analytics, structured interview with medical staff and direct content analysis (DCA). Study was conducted in two phases: data acquisition and analysis using dual group-based parameter model. During the first phase, the raw data were collected with total of 79 tests with adequate reagents data, test prices, number of tests delivered and duration of the sample processing, laboratory’s staff working hours and wage data per period. In addition to the waste statistics, equipment, quality and energy expenses have been taken into account. Acquired data samples were pre-processed and adequately analysed. Results: We discovered the dual group- based parameter model elements consisted of quantitative “hard” and qualitative “soft” parameters. The “hard” parameters consist of: “tests”, “reagents”, “prices”, “patients”, “sample processing time”, “waste”, “equipment”, “quality measurements” and “energy expenses” and “soft” parameters which include “financial conditions satisfaction”, “working environment”, “equipment functionality”, “information flow”, “communication” and “general organizational issues”. Conclusion: Research proved applicability and robustness of dual group-based parameter model, following LCAM principles, with the goal to improve the efficiency of the Hospital Unit. Current methodology can be used to study a life cycle of a single process, chains of processes and can be successfully applied to assess the efficacy of Hospital Unit. As being the first study of LCAM, implementation in healthcare system in the Republic of Croatia as such can be used as a pilot project to support efforts in the well-recognized need to increase the efficiency of the healthcare units. Methodology can be extended as concept to any similar unit (e.g. laboratory, hospital, ambulance and operating theatre) or to healthcare system as a whole.
Izvorni jezik
Engleski
Znanstvena područja
Javno zdravstvo i zdravstvena zaštita, Interdisciplinarne društvene znanosti
POVEZANOST RADA
Ustanove:
Medicinski fakultet, Zagreb,
Opća bolnica Zabok,
Visoko učilište Algebra, Zagreb
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus