IME

Egészségügyi adatvagyon hasznosításának lehetőségei Magyarországon

2025-09-03T08:51:43+00:00

Improving the Cyber Security Knowledge of Healthcare Workers to Improve Patient Safety

2025-09-03T08:51:43+00:00

Introduction: Digitalization is one of the fastest changing phenomena of our time. The changes cause the continuous transformation and elimination of dangerous risk factors to organizational functioning, and the creation of new ones, which is why dynamic risk management is an important tool for organizational security. Cyber security is part of organizational security, and in the healthcare sector it is closely related to patient security.

Objective: The purpose of the publication is to present the domestic and international literature on this extremely important and current topic, to establish and explain the conclusions that can be drawn, and to formulate proposals that can be used in practice based on the literature.

Method: Literature research was conducted in domestic and international publications with a fixed keyword search, a collection template, and a content evaluation using fixed criteria.

Results: The number of reviewed articles and source documents was forty-three, the number of included documents was thirty-three, and ten documents were excluded. All included articles and source documents were described and used in this publication. After presenting the domestic legal regulatory and strategic documents, the publication discusses the European Union regulators, focusing in detail on the Network and Information Security regulators. After the discussion of social cyber security, the publication describes the organizational aspects and discusses in detail the literature presenting the measurement possibilities of cyber awareness in the workplace. After the presentation of the literature analysing attacks on institutions and databases in the field of the healthcare sector, the problem of cyber threats to healthcare devices and finally the topic of cyber awareness attitude surveys is discussed.

Discussion: The low level of overall social cyber awareness and, consequently, the deficiencies of the employees of the organizations can be established. A suitable methodology for assessing the problems can be found in the literature, and it is possible to compile and apply targeted educational materials. The introduction of attitude surveys and the use of the results make it easier to achieve behavioural change and to improve cyber awareness.

Conclusion: The extremely vulnerable situation of the healthcare sector justifies the assessment of cyber security deficiencies, the introduction of education, the creation of emergency plans and the conduct of regular trainings.

The Role of Artificial Intelligence in Hip and Knee Arthroplasty: A Systematic Literature Review

2025-09-03T08:51:43+00:00

Background: The rapid advancement of artificial intelligence (AI) is significantly impacting orthopaedic surgery, especially hip and knee arthroplasty. Machine learning and deep learning are increasingly being used to improve diagnostic accuracy, enhance surgical planning, support surgical navigation, and assist in postoperative care.

Method: A systematic literature review was conducted using the PRISMA guidelines to examine AI applications in hip and knee arthroplasty.

Results: The search identified 290 studies across two databases, of which 56 met the inclusion criteria. The findings were evaluated across three clinical phases: preoperative, intraoperative, and postoperative. In the preoperative phase, AI contributes to the automated interpretation of imaging studies, patient selection, risk stratification, and the personalised planning of implants. Navigation systems and robot-assisted surgical solutions increase procedural accuracy and optimise implant placement during surgery. In the postoperative phase, AI models can predict recovery outcomes, support personalised rehabilitation, and monitor the risk of complications.

Conclusion: Artificial intelligence is revolutionising hip and knee arthroplasty by improving surgical precision, enabling a patient-centred approach, and enhancing outcome prediction across the entire continuum of care. Further research to overcome current limitations and expand application areas will allow AI to play an even greater role in the future of orthopaedic surgery.

Future challenges of artificial intelligence in healthcare

2025-09-03T08:51:43+00:00

Health systems worldwide face challenges such as rising costs, limited access and increasing demand for personalised care. In this process, artificial intelligence (AI) is becoming a key driver of transformation. There is a growing need to harness the potential of AI to mitigate these challenges, but also a critical assessment of the integration of AI into different areas of healthcare. AI is a set of algorithms and machine learning techniques that can mimic human intelligence functions such as decision making, pattern recognition and prediction. In healthcare, AI is not just a tool, but a new paradigm that offers the potential to improve patient care, reduce costs and increase the efficiency of treatment. The use of AI has opened up new dimensions in medicine, allowing more accurate diagnoses, more effective treatments and optimisation of system performance. Applications of AI range from radiology to telemedicine, drug discovery and patient care, and have a significant impact on the lives of both patients and healthcare professionals. However, in addition to the clear benefits of using AI, it is important to focus attention on the challenges it poses.

The aim of this paper is to draw together these areas based on experience to date, highlighting how traditionally used methods and procedures are being overridden by new technology, as the use of AI raises a number of ethical and technical issues, such as the protection of patient data, the impartiality of systems and the changing nature of the doctor-patient relationship. Moreover, the ethical dimensions of AI use, such as data protection, transparency of decision-making and social inequalities, cannot be neglected. Addressing these dilemmas is essential for the long-term sustainable integration of AI in healthcare.

The future of AI in healthcare depends on our ability to use the technology in a responsible, thoughtful and ethical way. AI is not just a tool, but a catalyst for potential change that could fundamentally reshape medical care and disease management. But this requires global collaboration, including the alignment of technological innovation, privacy reforms and ethical standards.

For AI to reach its full potential, it will also require advances in education and regulatory systems. Only in this way can we ensure that new technologies are accessible to all, while preserving patient safety and human dignity. The key to the future of healthcare is therefore to take into account social, economic and ethical aspects in the development and use of AI.

Major healthcare cybersecurity news and incidents in 2024

2025-09-03T08:51:43+00:00

A Semmelweis Egyetem Egészségügyi Menedzserképző Központ 2022. áprilisában a Nemzetbiztonsági Szakszolgálat Nemzeti Kibervédelmi Intézettel közösen, Egészségügyi Kiberbiztonsági Szemle címmel hírlevelet indított, amelyben rendszeresen monitorozza az egészségügyi kiberbiztonsági témában megjelent hazai és nemzetközi publikációkat, kutatásokat és tudományos cikkeket. Ezekből az online megjelent tartalmakból dr. Palicz Tamás, az Egészségügyi Menedzserképző Központ igazgatóhelyettese, a Szemle főszerkesztője most első alkalommal összefoglalót készített annak érdekében, hogy nyomtatott formában is minél szélesebb körhöz jussanak el a szakterülettel kapcsolatos információk. Válogatásunkban a 2024-ben megjelent, fontosabb kiberbiztonsággal kapcsolatos eseményeket gyűjtöttük össze a szemlében megjelenített témák alapján.