Smart Care

Leader of research group: Dr. habil. András Oláh


The group's activities

UP Smart Care Centre

The new strategic development direction of the UP Faculty of Health Sciences (ETK) in the last 4-5 years has been e/m-Health. It is a key objective to establish an inter- and multidisciplinary e/m-Health knowledge center that provides an organisational framework for the integration of ITT opportunities into the innovation related to health care to become researchable and developable, by involving all relevant competencies and taking into account social, economic, health and technical aspects.

Structure and activities of the smart care research group in the thematic excellence program

The composition of the research team

research leader + young researchers (PhD students) in health sciences fields

Clinical Engineer, Computer science engineers, IT specialists: with Rop, mi, 3d competencies

Research on robotic nursing care processes

Mapping international examples, good practices,

study of their applicability in Hungary.

Ongoing research by the Smart Care research group

EFOP-3.6.1-16-2016-00004 Research on IT-based support for nursing activities, with special regard to R&D activities for the innovative application of smart and robotic nursing devices, introduction of a modern nursing software and Telemedicine system

GINOP-2.2.1-15-2017-00063 Development of hospital hygiene controlling system research Development of hand hygiene protocols implemented in a clinical environment, introduction of a small pilot with IT bases for the performance of hand hygiene R&D activities.

20765-3 / 2018 / FEKUTSTRAT Use of the Active and Ambient Assisted Living tool system based on modern technologies for elderly chronic patients or chronic patients requiring continuous care and periodic care to reduce the risks of independent living at home, increase personal safety and optimize nursing care costs. The system ensures the continuous monitoring of vital parameters and recognition of individual behaviour patterns.

GINOP-2.3.2-15-2016-00047 Centre of Excellence in analytical and diagnostic research for health and sports performance - Development of an improved measuring device system for performance diagnostics based on advanced technology (augmented reality (AR), 3 dimensions (3D) full-body scanner, virtual reality (VR)), which is suitable for fast and reliable performance of examinations in large number of cases.

Other planned projects of the Smart Care research group

Development of smart diagnostic devices with BAY ZOLTÁN Nonprofit Ltd. for Applied Research

A diagnostic device based on thermal imaging for determining the status of phlebitis

A diagnostic device based on automatic serving machine vision for determining the status of decubitus (3D decubitus scanner)

Smart mattress

Product development with ASSECO Central Europe Magyarország Zrt. (2019-1.1.1-PIACI KFI)

Hospital nursing software, nursing module, creation of an e-observation chart

Continuing the cooperation negotiations with Vodafone Magyarország Zrt

Possibilities of using 5G network in health smart-technological developments

Procurement of robots

Software development required to operate robots for the support of nursing work

Facial recognition, position recognition, posture, gesture, hand gesture recognition,

Continuous monitoring of wards, corridors, restrooms,

  • Sound, noise recognition, analysis
  • hazard mapping,
  • Text to speech
  • implementation of communication,
  • Indoor localization and
  • Navigation (for performing smaller transport tasks).

Its aim is to establish publication, based on technical and nursing adjoining area, robot applicability aspects.


Big Data & Real World Data research group

  • Need-based market study and health economics analysis of smart device-based health technologies.

Emergency Care Innovation research group

  • Smart device developments
  • Providing a research topic for students in the health engineering master’s programme

Planned R & D & I or other application cooperation

  • Technical University of Košice Department of Artificial Intelligence


Gabriella Drenda-Mattenheim

Noémi Fullér

Viktor Gergely

Dr. Kinga Lampek

senior researcher

Csaba Istvánné Niedling

Dr. habil. András Oláh

Head of unit

László Polyák

Nóra Rozmann

Zsolt Soltész

Szilvia Szunomár

Gábor Tóth

Dezső Vass