eISSN: 2449-8580
ISSN: 1734-3402
Family Medicine & Primary Care Review
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4/2023
vol. 25
 
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abstract:
Original paper

Potential of use of modern information technology solutions in the work of hospital infection control team, including antibiotic therapy optimisation, reduction of alert pathogen infections and vaccination popularisation

Robert Susło
1
,
Mateusz Paplicki
2
,
Jarosław Drobnik
3
,
Jacek Klakočar
4
,
Jan Godziński
2

  1. Epidemiology and Medical Education Unit, Population Health Department, Health Sciences Faculty, Wroclaw Medical University, Wroclaw, Poland
  2. Developmental Age Traumatology and Emergency Medicine Unit, General Medicine Faculty, Wroclaw Medical University, Wroclaw, Poland
  3. Family Medicine Unit, Family Medicine Department, General Medicine Faculty, Wroclaw Medical University, Wroclaw, Poland
  4. Lower Silesian Voivodship Sanitary and Epidemiological Station, Wroclaw, Poland
Family Medicine & Primary Care Review 2023; 25(4): 427–435
DOI: https://doi.org/10.5114/fmpcr.2023.132616
Online publish date: 2023/12/27
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Background
Classic hospital information technology (IT) systems are being upgraded to new functional levels due to the rapid evolution and introduction into everyday operation emerging solutions based on machine learning (ML), artificial intelligence (AI), augmented reality (AR) and large language models (LLM), including the famous ChatGPT.

Objectives
The objective of the study was identification of potential practical applications of emerging IT solutions to various aspects of identified routine activities of ICTs, including hospital hygiene improvement, antibiotic stewardship adherence and vaccination enforcement and popularisation.

Material and methods
Related merit and legally defined duties of infection control teams (ICTs) at Polish hospitals were examined and compared against the capabilities of emerging IT solutions.

Results
It presents as inevitable that personal universal AI-based virtual assistant of medical staff, melting together modern broadband wireless connection to expanding IT infrastructure and its new emerging solutions, including ML, LLM and already relatively inexpensive AR tools, will revolutionise the everyday practice of hospital epidemiology.

Conclusions
It is foreseeable that in the near future, all hospital IT tools will present a single coherent solution oriented on the common goal of achieving maximal patient health and staff safety, providing holistic, individualised, continuous and omnipresent support to Hospital Infection Control Teams, every other member of the hospital staff, all hospitalised patients, as well as their accompanying persons.

keywords:

medical informatics, artificial intelligence, machine learning, augmented reality, infection control, medical law

  
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