Journal of Nursing Theory and Practice

[The possible implication and challanges of Artificial Intelligence and Robotics on the field of Nursing Practice: Friend or Foe?]

FULLÉR Noémi1, LAMPEK Kinga2, ROZMANN Nóra 3, SZUNOMÁR Szilvia 3, ZRÍNYI Miklós2, OLÁH András4

SEPTEMBER 30, 2020

Journal of Nursing Theory and Practice - 2020;33(05)

[The paper discusses latest developments in the field of artificial intelligence (AI) and its applications for the future of nursing care and services. Authors emphasize that AI should not be treated as a threat to nurses but as a potential support that may relieve nurses from performing routine tasks which can be automated by AI and robotics. The article cites examples from international experiments with AI and nursing robots that make the case for the controlled and intelligent use of technology in support of a nursing workforce that experiences pressures and stress because of increasing workloads and decreasing number of nursing staff. Authors call for the recognition that nurses fall behind in participating in the development of future nurse specific technologies, also due to the fact that nurses receive no education in the field of AI and robotics. Authors conclude that for nurses to stay in the driving seat of future nurse technologies, graduate and/or postgraduate level education for nurses in AI and robotics is a must.]


  1. Ápolás-tudományi, Alapozó Egészségtudományi és Védőnői Intézet, Egészségtudományi Kar, Pécsi Tudományegyetem
  2. Egészségtudományi Kar, Pécsi Tudományegyetem
  3. Ápolástudományi, Alapozó Egészségtudományi és Védőnői Intézet Egészségtudományi Kar, Pécsi Tudományegyetem
  4. Ápolástudományi, Alapozó Egészségtudományi és Védőnői Intézet, Egészségtudományi Kar, Pécsi Tudományegyetem Intézet



Further articles in this publication

Journal of Nursing Theory and Practice

[The Role of Movement Therapy in Balance Training and Fall Prevention of Patients with Osteo­porosis: A Systematic Review]

MISZORY Erika Viktória, JÁROMI Melinda, PAKAI Annamária

[Introduction: The frequent occuring of traumatic events resulting from falls among the patients with osteoporosis and their negative consequencies to the life quality make the application of efficient movement therapy interventions for preventing falls. The aim of the study: The authors’ purpose is to revise the effectiveness of movement therapy interventions regarding osteoporosis, mainly in the field of balance training and fall prevention. We carried out a detailed systematic literature reasearch in the database of Ebsco Discovery Service concerning the period of January 2014 and December 2019. We only searched for articles available in full and in English language using appropriate keywords. We found 42 publications potentially relevant, of which 12 met the inclusion criteria. The programs performed in different media, intensity and time period highlighted the significance of each exercise form in the functional variables. The different exercise programs prove to be effective for muscle and balance training as well as there is a growing number of evidences which emphasize the role of multimodal programs.]

Journal of Nursing Theory and Practice

[Investigation of Diabetes Mellitus screening in Hungarian General Practices]

GALVÁCS Henrietta, BALOGH Zoltán

[To examine the knowledge about diabetes and its screening practices and the role of advanced practice nurses in the prevention, among general practice employees. Our study was carried out via an online questionnaire which was completed by 94 general practitioners and 83 nurses. 20% of nurses did not possess appropriate qualifications. Overall, advanced practice nurses produced the highest results in the study. 55.4% of the practices performed regular diabetes screening, while only 35.5% of the nurses recommended screening examinations to patients. The most frequently cited causes for not performing screenings were the high number of daily patient visits and inadequate infrastructure and personnel resources. According to the opinions of general practitioners, the efficacy of prevention could be improved by increased financing, hiring dietitians, organising lifestyle clubs and limiting the number of daily patient visits. Independent work by advanced practice nurses was supported by the general practitioners. Emphasis on preventative methods should be expanded in the training of nurses with secondary education and these nurses should take on additional responsibilities in screening examinations. Integrate of advanced practice nurses is essential as soon as possible, into development of primary health care. ]

Journal of Nursing Theory and Practice

[Effectiveness of video-supported Resuscitation Training among Primary School Children ]

NAGY Richárd , BÁNFAI-CSONKA Henrietta, MUSCH János, DERZSI-HORVÁTH Martina, BÁNFAI Bálint

[In sudden cardiac arrest situations laypeople are important parts of the chain of survival. The aim of the study: Our aim was to compare different resuscitation education methods and to measure the effectiveness of video-supported method among primary school children. In our study participants were 10-15 years old primary school children (N=147). There were made a pre-test and two post-tests (1 and 4 months later). Data collection was made by a self-fill-in questionnaire and a practical test with a BLS manikin. There were made three groups: the FRONTAL group was teached with traditional methods; the VIDEO group was teached by a 5-minutes long, self made video; the PHANTOM group was teached by the video and a self-made manikin. Based on the tests the FRONTAL group performed the highest scores (p<0.001). However, the best performance in the depth of the chest compression scored the PHANTOM group (p<0.001). The frequency of the chest compressions was the best in the FRONTAL group (p=0.01). Body weight >50 kg (p=0.042) and age >12 years (p<0.001) associated with significantly deeper chest compressions. In our study, the traditional method was the most effective. However, using a video the results can be similar.]

Journal of Nursing Theory and Practice

[Functioning of SMART Hospitals from a Nursing Perspective ]


[More and more people hear about the need for smart hospitals to operate in the 21st century. Looking at the hospital developments of the past decades, we can see that actually it is the mainstream. Widespread, simultaneous and effective access to health care data is the key issue for future professionals and patients. In the following study, I would like to briefly outline the prerequisites for setting up and operating an intelligent hospital.]

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[What has Go to do with making clinical decisions? One of the greatest intellectual challenges of bedside medicine is making decisions under uncertainty. Besides the psychological traps of traditionally intuitive and heuristic medical decision making, lack of information, scarce resources and characteristics of doctor-patient relationship contribute equally to this uncertainty. Formal, mathematical model based analysis of decisions used widely in developing clinical guidelines and in health technology assessment provides a good tool in theoretical terms to avoid pitfalls of intuitive decision making. Nevertheless it can be hardly used in individual situations and most physicians dislike it as well. This method, however, has its own limitations, especially while tailoring individual decisions, under inclusion of potential lack of input data used for calculations, or its large imprecision, and the low capability of the current mathematical models to represent the full complexity and variability of processes in complex systems. Nevertheless, clinical decision support systems can be helpful in the individual decision making of physicians if they are well integrated in the health information systems, and do not break down the physicians’ autonomy of making decisions. Classical decision support systems are knowledge based and rely on system of rules and problem specific algorithms. They are utilized widely from health administration to image processing. The current information revolution created the so-called artificial intelligence by machine learning methods, i.e. machines can learn indeed. This new generation of artificial intelligence is not based on particular system of rules but on neuronal networks teaching themselves by huge databases and general learning algorithms. This type of artificial intelligence outperforms humans already in certain fields like chess, Go, or aerial combat. Its development is full of challenges and threats, while it presents a technological breakthrough, which cannot be stopped and will transform our world. Its development and application has already started also in the healthcare. Health professionals must participate in this development to steer it into the right direction. Lee Sedol, 18-times Go world champion retired three years after his historical defeat from AlphaGo artificial intelligence, be­cause “Even if I become the No. 1, there is an entity that cannot be defeated”. It is our great luck that we do not need to compete or defeat it, we must ensure instead that it would be safe and trustworthy, and in collaboration with humans this entity would make healthcare more effective and efficient. ]

Lege Artis Medicinae

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Clinical Neuroscience

Alexithymia is associated with cognitive impairment in patients with Parkinson’s disease

SENGUL Yildizhan, KOCAK Müge, CORAKCI Zeynep, SENGUL Serdar Hakan, USTUN Ismet

Cognitive dysfunction (CD) is a common non-motor symptom of Parkinson’s disease (PD). Alexithy­mia is a still poorly understood neuropsychiatric feature of PD. Cognitive impairment (especially visuospatial dysfunction and executive dysfunction) and alexithymia share com­mon pathology of neuroanatomical structures. We hypo­thesized that there must be a correlation between CD and alexithymia levels considering this relationship of neuroanatomy. Objective – The aim of this study was to evaluate the association between alexithymia and neurocognitive function in patients with PD. Thirty-five patients with PD were included in this study. The Toronto Alexithymia Scale–20 (TAS-20), Geriatric Depression Inventory (GDI) and a detailed neuropsychological evaluation were performed. Higher TAS-20 scores were negatively correlated with Wechsler Adult Intelligence Scale (WAIS) similarities test score (r =-0.71, p value 0.02), clock drawing test (CDT) scores (r=-0.72, p=0.02) and verbal fluency (VF) (r=-0.77, p<0.01). Difficulty identifying feelings subscale score was negatively correlated with CDT scores (r=-0.74, p=0.02), VF scores (r=-0.66, p=0.04), visual memory immediate recall (r=-0.74, p=0.01). VF scores were also correlated with difficulty describing feelings (DDF) scores (r=-0.66, p=0.04). There was a reverse relationship bet­ween WAIS similarities and DDF scores (r=-0.70, p=0.02), and externally oriented-thinking (r=-0.77,p<0.01). Executive function Z score was correlated with the mean TAS-20 score (r=-62, p=0.03) and DDF subscale score (r=-0.70, p=0.01) Alexithymia was found to be associated with poorer performance on visuospatial and executive function test results. We also found that alexithymia was significantly correlated with depressive symptoms. Presence of alexithymia should therefore warn the clinicians for co-existing CD.