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Prof. Dr. Georgi Chaltikyan

  • Digital Health
  • eHealth & Telemedicine
  • International & Global Health
  • Healthcare Management
  • Evidence-Based Medicine

Professor

Program Director Master of Digital Health

EC 2.05

0991/3615-8814


consulting time

Thursday: 10:00-13:00


Sortierung:
Lecture
  • Georgi Chaltikyan

Telemedicine and Digital Health for Armenia. Invited speaker.

In: 6th International Medical Congress of Armenia

Yerevan, Armenia

Book
  • Georgi Chaltikyan
  • L. Essayei
  • D. Khachatryan

Digital Health for Healthcare and Economic Development of Armenia: Feasibility Study Report and Operational Blueprint.

Armenian Association of Digital Health (AADH) Yerevan, Armenia

  • (2023)

Book
  • Georgi Chaltikyan
  • L. Essayei
  • D. Khachatryan

Digital Health for Healthcare and Economic Development of Armenia: Feasibility Study Report and Operational Blueprint – Synopsis.

Armenian Association of Digital Health (AADH) Yerevan, Armenia

  • (2023)

Contribution
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan

Development of Specialist Teleconsulting System for Primary Health Care in Armenia: A Pilot Telemedicine Project by the Armenian Association of Telemedicine (AATM).

In: Global Telemedicine and eHealth Updates: Knowledge Resources. pg. 73-76

  • Eds.:
  • F. Lievens
  • M. Jordanova

  • (2010)

The project de scribes devel opment of a pi lot teleme dicine system for primary community health care in rural ar eas in Armenia. The purpose is to establi sh and operate a telemedi cine connecti on between a primary he alth care facility in remote rural locati on (“Referral Site”) and a health center in Yerevan (“Consult Site”), for provision o f tele-co nsulting services by s elected medic al and sur gical specialists in Yerevan. Armenia has relativel y de veloped prim ary health care network; however, shortage of specialist physicians in rural areas, as well as financial constraints frequently hamper maintaining appropriate quality of c are at co mmunity l evels. A s a res ult considerable number of patients from rural areas seek specialty health care in large urban centers, mostly in Yerevan, which is associated with significant direct and indirect costs, and frequently results in delays in diagnosis an d initiation of treatment. The projec t by Arme nian Association of Telemedicine (AATM) aims at deli vering spe cialty distant consultations to patients and primary care w orkers in remote locations via usage of Information and Com munication Technologies. The project will utili ze ex isting prima ry ca re fa cility, telecommunication link and commercial PC-based m edical s tations equipped with necessary hardware and software. The pilot telemedicine system will co nsist of o ne referra l statio n at a co mmunity prima ry health center, a nd one co nsult station at selected facility in Yerevan. The system will operate the following workflow: patient presents to the referral site; minimum nec essary data are collected by primar y care physicians with the aid of medic al peripheral de vices; data are transferred to the consult si te via high-speed Internet connection, both in real-time and store-and-forward formats; specialist reviews the data, and consults the patient an d primary care physician on diagnosis and management. During the pi lot period and upon c ompletion thereof, a series of systematic assessments will be conducted, evaluating project’s feasibility and impa ct on primary health ca re. Based o n ex perience with compar able projec ts in other c ountries, it is ex pected that the system will allow reducing by 60 -70% patients’ v isits to remo te specialists, allowing timel y dia gnosis, improving treatment outc omes, increasing patients ’ s atisfaction and c ommunity primar y he alth care workers’ educati on, reduci ng health care cos ts, and contributing to overall development of target rural community. Major partners in this project are Ministry of Heal th of Rep ublic of Armenia, USAID/Armenia – Primary Health Care Reform (PHCR) project, TMD Systems (US-based company producing telemedicine equipme nt and solutions), Union of Information Technology Enterprises (UIT E), Armenian Medical Ass ociation (Ar MA), and Sym otec (local telemedicine producer). AAT M has success fully complete d the background and preparatory stage of the project, and is ready to begin necessary installations to launch the connection.
Contribution
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan
  • T. Hakobyan
  • K. Vardanyan

Progress in Preparations for Launching Telemedicine and eHealth Initiatives in Armenia: A Report on Recent Activities by the Armenian Association of Telemedicine (AATM).

In: Global Telemedicine and eHealth Updates: Knowledge Resources. vol. 3 pg. 295-299

  • Eds.:
  • F. Lievens
  • M. Jordanova

  • (2010)

Armenian Association of Telemedicine (AAT M) is a non-governmental, non-pr ofit organization founded in De cember 2008 in Yerevan, Armenia. The mission of AATM is to promote development of Telemedicine and eHe alth field in Armenia, via cooperation with central and local governmental structures, assistance in Telemedicine and eHealth initiatives, cooperation with major local and international institutions, organiz ations and companies, and devel opment of educational activities. Sinc e 2009 AATM is a national mem ber from Armenia to the International Society for Telemedici ne and e Health (ISfTeH). In the past one year since its creation AATM established partnership with many local and international stakeholders in the field of Telemedici ne and eHe alth; performed extensive e valuation of the field and c onsultations needed to initiate relevant activities; presented its vi sion and stra tegy t o resp onsible go vernmental bodi es, a nd obtained their support for proposed activities; participated in a series of local and international scientific and working meetings; and outlined concepts of s everal s trategic long-term projects, to be developed i n detail, prepared, implemented, and monitored during a time period of five years. These include: Elaboration of Strategic Plan of Long-Term Development of eHealth Applications and Services in Armenia (eHealth Master Plan). The focus on eHealth development is driven by major challenges that health care systems ar ound the gl obe are facing. WHO has re commended all member states “to consider drawing up a long-term strategic plan for developing and implementi ng eHealth services in the various areas of health sector ”. To address the issue AATM establ ished a wor king group (eHealth Tas k F orce) with participation of government authorities, NGOs, academic and rese arch centers, ICTrepresentatives, and leading experts in the field, to develop and present to the government a strategic plan for eHealth (eHealth Master Plan). The Task Force has performed initial consultations with local and international experts, and started pre-assessment of the field, as well as adopted a working plan and schedule. In the forthcoming months the work will be continued to define necessary standards and requirements for implementing eHealth applications, and develop a template for the Plan. Establishment, Development & Maintenance of National Telemedicine Network in Armenia. Telemedicine in Armenia has potential to improve performance and cost-effectiveness of health care system, considering severe concentration of health care resources in the metropolitan areas and decreased availability of specialized care in the rural regions, as well as financial limitations. AATM proclaimed long-term goal to establish, develop, operate and maintain a comprehensive nation-wide telemedicine network connecting together all country’s health care facilities, as well as providing them with access to leading international health care institutions. As initial step in implementation of the above, AATM is launching a pilot telemedicine connection between a community primary care facility and consult site in Yerevan, to serve as a model for future telemedicine network. Two other strategic programs (Promotion of Home Telecare Services, and Development of Mobile eHealth Applications in Armenia) are currently at preliminary stage of establishing cooperation with interested stakeholders, designing methodology, and collecting necessary data.
Contribution
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan
  • T. Saghatelyan
  • A. Aroyan

Background State of Development of Health ICT in Armenia and Rationale for Deployment of Telemedicine and eHealth.

In: Proceedings of the 1st Armenian International Congress on Telemedicine and eHealth (Yerevan, Armenia). pg. 175-184

  • (2011)
Contribution
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan
  • T. Saghatelyan
  • A. Aroyan

Armenian Association of Telemedicine (AATM) as the Leading National Force in Development of Health ICT: Outset, Evolution, Achievements and Prospects.

In: Proceedings of the 1st Armenian International Congress on Telemedicine and eHealth (Yerevan, Armenia). pg. 164-174

  • (2011)
Contribution
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan
  • T. Saghatelyan
  • A. Haroyan

Two Short-Term Pilot Telemedicine Projects Completed by the Armenian Association of Telemedicine (AATM) in 2010: Results and Lessons Learned..

In: Global Telemedicine and eHealth Updates: Knowledge Resources. pg. 447-451

  • Eds.:
  • F. Lievens
  • M. Jordanova

  • (2011)

Journal article
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan
  • T. Saghatelyan
  • A. Haroyan

Outcomes of the First Armenian International Congress on Telemedicine and eHealth "ARMTELEMED: Road to the Future" (October 14-16, 2011; Yerevan, Armenia).

In: Telemedicine Journal and e-Health : The Official Journal of the American Telemedicine Association vol. 18 pg. 400-402

  • (2012)

DOI: 10.1089/tmj.2012.9993

Contribution
  • Georgi Chaltikyan
  • A. Avoyan
  • D. Gasparyan
  • R. Hovhannisyan
  • T. Saghatelyan
  • A. Haroyan

Preliminary Report on the 1st Armenian International Health ICT Congress “ARMTELEMED: Road to the Future".

In: Med-e-Tel 2012: Proceedings of the International eHealth, Telemedicine and Health ICT Forum for Education, Networking and Business. pg. 345-347

  • (2012)
Journal article
  • Georgi Chaltikyan
  • A. Avoyan
  • R. Hovhannisyan
  • T. Saghatelyan
  • A. Aroyan

Current State, Recent Advances and Perspectives of Development of Healthcare Information and Communication Technologies in Armenia: A Review Article.

In: International Journal of Reliable and Quality E-Healthcare vol. 2 pg. 48-63

  • (2013)

DOI: 10.4018/ijrqeh.2013100105

Contribution
  • Georgi Chaltikyan
  • V. Buniatyan
  • H. Vardapetyan
  • A. Avoyan
  • V. Begoyan
  • S. Tiratsuyan
  • T. Saghatelyan
  • H. Mkrtchian
  • R. Aghgashyan
  • S. Shamakhyan
  • I. Buliev

Current State of Biomedical Engineering Education in Armenia and Perspectives of Development with TEMPUS IV BME-ENA Project.

In: 6th European Conference of the International Federation for Medical and Biological Engineering. (IFMBE Proceedings) vol. 45 pg. 1008-1011

  • Eds.:
  • D. Vasic
  • I. Lacković

Springer International Publishing Cham

  • (2015)

DOI: 10.1007/978-3-319-11128-5_252

Contribution
  • Georgi Chaltikyan
  • T. Saghatelyan
  • V. Buniatyan
  • V. Begoyan
  • H. Vardapetyan
  • I. Buliev
  • Zh. Bliznakov

New Joint Master’s Program in Biomedical Engineering (with Topics on Health ICT) in Armenia Developed through TEMPUS Project BME-ENA.

In: Global Telemedicine and eHealth Updates: Knowledge Resources. vol. 9 pg. 161-167

  • Eds.:
  • F. Lievens
  • M. Jordanova

  • (2016)
Contribution
  • Georgi Chaltikyan
  • Horst Kunhardt
  • Anna Schmaus-Klughammer

New Master’s Program in Medical Informatics, eHealth and Telemedicine at the European Campus of Deggendorf Institute of Technology (DIT) in Germany.

In: Global Telemedicine and eHealth Updates: Knowledge Resources. vol. 9 pg. 168-172

  • Eds.:
  • F. Lievens
  • M. Jordanova

  • (2016)

Book
  • Georgi Chaltikyan
  • A. Astvatsatryan

International Healthcare Systems.

“Hairapet” Publishing House Yerevan, Armenia

  • (2017)
Lecture
  • Georgi Chaltikyan
  • A. Ernstberger
  • T. Herbst
  • C. Lang
  • M. Blaetzinger
  • M. Nerlich
  • J. Sturm

Kann Teleradiologie die Qualität und die Abläufe der Schwerverletztenversorgung verbessern? Sicht eines Traumanetzwerks vs. Deutsche Universitätsklinika.

In: Deutscher Kongress für Orthopädie und Unfallchirurgie (DKOU) 2019

Berlin

  • 22.-25.10.2019 (2019)
Lecture
  • Georgi Chaltikyan

Digital Health Revolution: Has the Future of Medicine Arrived Yet?. Keynote.

In: 7th IEEE International Conference on e-Health and Bioengineering (EHB): Smarter technology for a better health

Romanian Society of Medical Bioengineering Iași, Romania

  • 21.-23.11.2019 (2019)
Journal article
  • R. Istepanian
  • M. Kulhandjian
  • Georgi Chaltikyan

Mobile Health (mHealth) in the Developing World: Two Decades of Progress or Retrogression.

In: Journal of the International Society for Telemedicine and eHealth (JISfTeH) vol. 8 pg. 1-5

  • (2020)

DOI: 10.29086/JISfTeH.8.e24

Mobile healthcare, or mHealth, is one of the key pillars of information and communication technologies for healthcare that consists of telemedicine, telehealth, eHealth, and mHealth. In the past two decades, mobile health has become a transformative concept for healthcare delivery innovations on a global scale. The success was based on the market-driven strategies that utilised the advances in mobile communications, computing, and sensor technologies, especially in recent years. Those market-driven mobile health systems were also closely associated with the global proliferation of smartphones, and based on the correlated usage principle of the smartphone applications for healthcare and wellbeing. However, the global commercial success of the smartphone-based mHealth model was not widely translated into successful scaled-up and tangible healthcare benefits, especially in low- and-middle income countries, compared to the consumer mobile health markets. The numerous healthcare challenges in the developing world remained largely untackled by the existing mobile health systems and models. The much-hyped transformative benefits of these systems remain largely unfulfilled. For two decades since the inception of this concept, the majority of the population in resource-limited healthcare settings still remain in poorer health and live in worsened conditions, with limited if any access to basic healthcare services. The much-hyped mobile health services that promised transforming these fragile and limited healthcare conditions, did not come to wider fruition globally. The COVID-19 pandemic, with its devastating human and economic impact worsened this status. An overview of the origin and the basic principles of mobile health, its current landscape and status in the developing world is presented. The impact of the smartphone-centric model that dominated the landscape of mobile health systems in these countries is discussed, and a critical view on the limitation of this mobile health model adopted widely in these settings is provided.
Journal article
  • Fara Fernandes
  • Georgi Chaltikyan

Analysis of Legal and Regulatory Frameworks in Digital Health: A Comparison of Guidelines and Approaches in the European Union and United States.

In: Journal of the International Society for Telemedicine and eHealth (JISfTeH) vol. 8 pg. 1-13

  • (2020)

DOI: 10.29086/JISfTeH.8.e11

The advent of digital technology in healthcare presents opportunities for the improvement of healthcare systems around the world and the move towards value-based treatment. However, this move must be accompanied by strong legal and regulatory frameworks that will not only facilitate but encourage the good use of technology. The goal of the study was to assess the amenability and furtherance of regulatory frameworks in digital health by evaluating and comparing the processes, effectiveness and outcomes of these frameworks in the European Union and United States. Methods: This study incorporated two research methodologies. The first was a research of current legal and regulatory frameworks in digital health in the European Union and United States. A comprehensive online search for publications was carried out which included laws, regulations, policies, green papers, guidelines and recommendations. This research was complemented with interviews of five purposively sampled key informants in the legal and regulatory landscape. Results: Mind-maps revealed key features and challenges of the digital health field in the topics of the current state of regulation of digital health in the EU, Germany and US, regulatory pathways for digital health devices, protection and privacy of health data, mobile health validation, risk-based classification of medical devices, regulation of clinical decision support systems, telemedicine, artificial intelligence and emerging technologies, reimbursement for digital health services and liability for digital health products. The experts expressed and explained key points where current regulation is deficient. The review of the legal frameworks revealed deficiencies which provide opportunities and recommendations to further develop and strengthen the regulatory landscape. Conclusions: A key element to a robust regulatory framework is the ability to ensure trust and confidence in using digital health technology. Technology must measure the impact on quality of life and burden of disease and not merely involve the collection of data.
Lecture
  • Georgi Chaltikyan

Overview of the Digital Health Domain: Special Focus on European Initiatives. Keynote.

In: Virtual Webinar Series TELEMEDICINE-1 (In collaboration with Trinnect, Finland)

Maulana Abul Kalam Azad University of Technology West Bengal, India

  • 14.06.2020 (2020)
Lecture
  • Georgi Chaltikyan

German Healthcare Market. Keynote.

In: P4 – Precision Medicine Accelerator, i-Expand (UK, virtual)

  • 25.06.2020 (2020)
Lecture
  • Georgi Chaltikyan

Telemedicine – Global Landscape. Keynote.

In: Allergan Virtual Telemedicine Webinar (Allergan India Pvt Ltd)

  • 02.08.2020 (2020)
Lecture
  • A. Philip
  • J. Okereke
  • Georgi Chaltikyan

What are the approaches to mitigate patient identity-related challenges in an attempt to achieve interoperability between different healthcare entities?. Conference poster.

In: DigiHealthDay 2020 – International Scientific Symposium at DIT-ECRI

  • 13.11.2020 (2020)
Contribution
  • Georgi Chaltikyan
  • Fara Fernandes
  • D. Khachatryan
  • L. Essayei

History and Current State of Digital Health, eHealth and Telemedicine in Armenia.

In: A Century of Telemedicine: Curatio Sine Distantia et Tempora. A World Wide Overview – Part IV. pg. 1-81

  • Eds.:
  • F. Lievens
  • M. Jordanova

Sofia, Bulgaria

  • (2021)
Lecture
  • Georgi Chaltikyan

Digital Health Tools: from Telemedicine and Remote Patient Monitoring to Intelligent Sensors and Medical Gadgets (Update on Digital Health Education at DIT-ECRI).

Ministry of Health of Kazakhstan, Nur-Sultan City Online

  • 15.-19.04.2021 (2021)
Lecture
  • Georgi Chaltikyan

From MSc Medical Informatics to Digital Health: Name Change or Paradigm Shift? “(Update on Digital Health Education at DIT-ECRI). Keynote..

In: Global Summit on Telemedicine and Digital Health

Online

  • 17.06.2021 (2021)
Lecture
  • Georgi Chaltikyan

Digital Health Education and the Development of CONEDIG. Workshop..

In: International Conference Medical Informatics Europe (MIE) 2021

Online

  • 30.06.2021 (2021)
Journal article
  • Georgi Chaltikyan
  • Fara Fernandes
  • Jishen Pfeiffer

Digital Health Education: Determining Competences and Piloting Innovative Study Course.

In: Studies in Health Technology and Informatics vol. 294 pg. 825-826

  • (2022)

DOI: 10.3233/SHTI220599

Digital technology for health services plays a critical role in the delivery of health services. In order to move towards universal healthcare, improvement of patient outcomes and better health, one must make use of the advantages of Digital Health tools and recognition of the role of the health ICT worker. Therefore, it is necessary to have a workforce that is competent to use these tools. Uniquely positioned at the intersection of healthcare and information technology, the domain of Digital Health builds on a variety of disciplines termed biomedical and health informatics, and other allied fields. With the increasing need to have a knowledgeable, skilled and competent workforce, it is necessary to concentrate efforts towards the provision of education modules in Digital Health. While continuing medical education, certificate courses and other similar courses attempt to bridge the gap in the delivery of Digital Health education, it is also paramount to establish dedicated and standalone courses. Streamlining approaches to Digital Health Education across disciplinary, cultural and national boundaries, is key to address the challenges of firmly embedding Digital Health courses in the fabric of university education. In the effort to provide the necessary knowledge, skills and competencies (KSCs) to the current health ICT worker, the Deggendorf Institute of Technology, European Campus Rottal-Inn (DIT-ECRI) is in the process of piloting a virtual course in Global Digital Health. With the ability to provide core competencies in Digital heath, this virtual course is a step towards advancing Global Digital Health Education.
Journal article
  • Fara Fernandes
  • Georgi Chaltikyan
  • M. Gerdes
  • C. Omlin

Bias – The Achilles Heel of Artificial Intelligence in Healthcare.

In: Journal of Applied Interdisciplinary Research (JAIR) (Special Issue: Digital Health; Proceedings of the DigiHealthDay 2022, a joint publication with the Medical Informatics and Engineering) pg. 90-101

  • (2023)

DOI: 10.25929/5qxh-nt21

The field of artificial intelligence (AI) has evolved considerably since the end of the 20th century. While this technology shows great promise and potential to solve daily tasks, the question of fairness of decisions by AI models needs to be addressed. There have been examples of AI models performing unfair and prejudiced decisions which has led to a growing need to be able to know ‘why’ and ‘how’ these models make decisions. This is particularly important in the healthcare field, where the outcomes of AI models play a decisive role in the well-being of patients. In addition, a system for detecting and mitigating biases needs to be developed so that the advantages of AI can be utilized in healthcare. A scoping review was carried out to study the source, nature and impact of biases of AI models. Results showed that bias can be data-driven, algorithmic or introduced by humans. These biases propagate deeply rooted societal inequality, misdiagnose patient groups, and further perpetuate global health inequity. Mitigation of biases is proposed at the various stages of the machine learning pipeline. These strategies use techniques such as scrutinizing the way data is collected, better representation of patient groups, optimal training of the model and evaluating model performance. In conclusion, it must be ascertained that AI decisions are free of unwarranted biases and justly fair. Therefore, in an effort to mitigate bias, AI models should adopt systems that contain techniques in which biases can be predicted, measured, explained and then mitigated.
Lecture
  • Georgi Chaltikyan

Innovation in the social sphere: the role of digital transformation in building a sustainable future. Invited Speaker.

In: DIGITAL TRANSFORMATION: BREAKTHROUGH STRATEGIES

Yerevan Tech Forum Yerevan, Armenia

  • 19.-20.05.2023
Lecture
  • Georgi Chaltikyan

Harnessing Digital Health Workforce Development in the GCC Region. Invited speaker.

In: European Health Conference (HIMSS 23)

Lisbon, Portugal

  • 07.06.-09.06.2023
Lecture
  • Georgi Chaltikyan

High-tech vs. High-touch: Can digital technologies mitigate the health workforce crisis?. Invited speaker.

In: Second WHO Symposium: Future of Health Systems in a Digital Era

Porto, Portugal

  • 05.09.-06.09.2023
Lecture
  • Georgi Chaltikyan

Building the Digital Health Workforce: Approaches to Digital Health Education and Training. Invited Speaker (virtual).

Associação Paulista de Medicina São Paulo, Brazil

  • 10.2023
Lecture
  • Georgi Chaltikyan

The Intelligent Hospital: Visualizing the Future. Invited speaker.

In: MedTechWorld Congress and Exhibition

Malta

  • 19.-20.10.2023
Lecture
  • Georgi Chaltikyan

Session: Workforce Training and Capacity Building. Invited Expert/Trainer.

In: Structured Training Program on Digitalization of HIS

WHO EURO

  • 11.2023
Lecture
  • Georgi Chaltikyan

Germany’s AI for Health (AI4H) Maturity: Current State and Near-Future Prospects. Invited Speaker.

In: EHTEL Thought Leader Symposium: Digital health implementation: It’s a collaborative business

Gent, Belgium; Online

  • 28.11.-01.12.2023 (2023)
Journal article
  • T. Adewumi
  • M. Gerdes
  • Georgi Chaltikyan
  • Fara Fernandes
  • L. Lindsköld
  • M. Liwicki
  • M. Catta-Preta

DigiHealth-AI: Outcomes of the First Blended Intensive Programme (BIP) on AI for Health – a Cross-Disciplinary Multi-Institutional Short Teaching Course.

In: Journal of Applied Interdisciplinary Research (Special Issue: Digital Health) pg. 75-85

  • (2024)

DOI: 10.25929/dcmwch54

We reflect on the experiences in organizing and implementing a high-quality Blended Intensive Programme (BIP) as a joint international event. A BIP is a short programme that combines physical mobility with a virtual part. The 6-day event, titled “DigiHealth-AI: Practice, Research, Ethics, and Regulation”, was organized in collaboration with partners from five European nations and support from the EU’s ERASMUS+ programme in November 2023. We introduced a new learning method called ProCoT, involving large language models (LLMs), for preventing cheating by students in writing. We designed an online survey of key questions, which was conducted at the beginning and the end of the BIP. The highlights of the survey are as follows: By the end of the BIP, 84% of the respondents agreed that the intended learning outcomes (ILOs) were fulfilled, 100% strongly agreed that artificial intelligence (AI) benefits the healthcare sector, 62% disagree that they are concerned about AI potentially eliminating jobs in the healthcare sector (compared to 57% initially), 60% were concerned about their privacy when using AI, and 56% could identify, at least, two known sources of bias in AI systems (compared to only 43% prior to the BIP). A total of 541 votes were cast by 40 students, who were the respondents. The minimum and maximum numbers of students who answered any particular survey question at a given period are 25 and 40, respectively.
Journal article
  • Fara Fernandes
  • Mouzhi Ge
  • Georgi Chaltikyan
  • Martin Gerdes
  • Christian Omlin

Preparing for downstream tasks in AI for dental radiology: a baseline performance comparison of deep learning models.

In: Dentomaxillofacial Radiology

  • 19.11.2024 (2024)

DOI: 10.1093/dmfr/twae056

OBJECTIVES To compare the performance of the convolutional neural network (CNN) with the vision transformer (ViT) and the gated multilayer perceptron (gMLP) in the classification of radiographic images of dental structures. METHODS Retrospectively collected 2-dimensional images derived from cone beam computed tomographic volumes were used to train CNN, ViT and gMLP architectures as classifiers for 4 different cases. Cases selected for training the architectures were the classification of the radiographic appearance of maxillary sinuses, maxillary and mandibular incisors, presence or absence of the mental foramen and the positional relationship of the mandibular third molar to the inferior alveolar nerve canal. The performance metrics (sensitivity, specificity, precision, accuracy and f1-score) and area under curve (AUC) - receiver operating characteristic and precision-recall curves were calculated. RESULTS The ViT with an accuracy of 0.74-0.98, performed on par with the CNN model (accuracy 0.71-0.99) in all tasks. The gMLP displayed marginally lower performance (accuracy 0.65-0.98) as compared to the CNN and ViT. For certain tasks, the ViT outperformed the CNN. The AUCs ranged from 0.77-1.00 (CNN), 0.80-1.00 (ViT) and 0.73-1.00 (gMLP) for all of the 4 cases. CONCLUSIONS The difference in performance of the ViT, gMLP and the CNN (the current state-of-the-art) was significant in certain tasks. This difference in model performance for various tasks proves that capabilities of different architectures may be leveraged. ADVANCES IN KNOWLEDGE The vision transformer, followed by the gated multilayer perceptron are deep learning models that exhibit comparable performance with the convolutional neural network in the classification of dental radiographic images.
Journal article
  • Fara Fernandes
  • Georgi Chaltikyan
  • K. Adib
  • H. Caton-Peteres
  • D. Novillo-Ortiz

The role of governance in the digital transformation of healthcare: Results of a survey in the WHO Europe Region.

In: International Journal of Medical Informatics vol. 189 pg. 105510

  • 03.06.2024 (2024)

DOI: 10.1016/j.ijmedinf.2024.105510

Optimal governance is among the key facilitators of the digital transformation of health systems intended to improve access to healthcare, quality, safety, and efficiency, and to attain universal health coverage. This paper highlights the findings of a survey assessing the status of governance of digital health in the WHO European Region. The 2022 survey is a continuation of the 2015 WHO Global Survey on eHealth. The survey focused on national digital health governance, monitoring and evaluation of digital health interventions, and funding and investment in digital health and was conducted through April to October 2022. All 53 Member States of the WHO European Region participated in the survey. The results showed that 83% of the Member States reported having a national digital health strategy in place, and 79% of the Member States reported having a health information system strategy. Most of the priorities of the national digital health strategies were devoted to increasing the accessibility, quality, safety, and efficiency of the health systems, strengthening health information systems, and improving information sharing and interoperability of data. Measures to ensure equity in access to digital healthcare services were directed towards improving broadband connectivity, information and communication technology, digital literacy, and digital health promotion. Oversight for the implementation and operation of the national digital health strategies are mostly delegated to government agencies. The prime source of funding for digital health programs was public funding, though a combination of funding sources was also noted. This analysis revealed increasing adoption of national digital health strategies for access to healthcare and creation of digital health agencies and funding programs for digital health.
Lecture
  • Georgi Chaltikyan

DIT-EFMI Collaboration: Institutional Membership and the DigiHealthDay Series. Invited speaker.

In: Medical Informatics Europe 2023 (EFMI MIE2023): Caring is Sharing - Exploiting Value in Data for Health and Innovation

Göteborg, Schweden

  • 22.-25.05.2024

projects

DigiHealthDay – Global Forum for Education, Research, Innovation & Networking; Global Digital Health; Xpanding Innovative Alliances (XiA) – EU-funded, training courses in Digital Health; Xte


labs

Digital Health Data Integration


core competencies

  • Digital Health
  • Digital Health Education
  • Global and International Health
  • Healthcare Management
  • General Medicine
  • Laparoscopic Surgery
  • Digestive Medicine and Surgery


Forschungs- und Lehrgebiete

Areas of Research and Education:

  • Digital Health Professional Education
  • Digital Health Upskilling and Reskilling
  • Digital Health Literacy and Navigation
  • Global Digital Health Policies and Strategies
  • Artificial Intelligence for Health (AI4H)
  • Digital Health Twins (DHT) and Personalized Health (10P-Health)

Modules/Courses taught in study programs Master of Digital Health (MDH), Master of Global Public Health (GPH), and Bachelor of Health Informatics (HI-B):

  • Fundamentals of Medicine
  • Digital Health Fundamentals
  • Digital Health Coding Systems and Standards
  • Digital Health Research
  • Digital Health Information Systems
  • Digital Health Management
  • Digital Health Applications
  • Digital Health Economy and Management
  • Medical Documentation
  • Evidence-Based Medicine
  • Health Forecast – Future Causes of Death


Vita

Georgi Chaltikyan, MD, PhD is Professor and Head of Digital Health Master's at the Faculty European Campus Rottal-Inn (ECRI) of Deggendorf Institute of Technology (DIT-ECRI), the Founder and Head of the Research and Education Center of Digital Head at Russian-Armenian (Slavonic) University (RAU-CDH), and the Founder and Chairman of Armenian Association of Digital Health (AADH).

He is a graduate of the Yerevan State Medical University in Armenia; he has been trained as a general surgeon and spent about 20 years in clinical practice in general and laparoscopic surgery. He has extensive experience in healthcare education, research, and management. From 2001-2009 he served as an associate professor at Yerevan State Medical University and taught medicine and surgery to undergraduate and postgraduate students (in English, Armenian, and Russian languages).

In 2009-2010 he was a Fulbright Visiting Scholar at Keck School of Medicine, the University of Southern California in Los Angeles, USA. In 2010-2015 he worked in private surgical practice at a large multi-profile hospital. He has more than 15 years of work experience in the field of Digital Health. As the founding president of a non-governmental organization Armenian Association of Digital Health (AADH), he has been instrumental in the design and implementation of several successful Digital Health projects with international participation.

Prof. Chaltikyan joined DIT-ECRI at its launch in 2015; he is the Program Head of the Master of Digital Health (MDH) that is operated as a Double-Degree Study Program at DIT-ECRI in Germany and RAU in Armenia and is responsible for several courses (modules) in Digital Health, Global and International Healthcare Management, Health Research, Health Economics, Fundamentals of Medicine, and others. He also leads international collaborative projects and programs, such as the partnership with such notable organizations as the Healthcare Information and Management Systems Society (HIMSS), International Society for Telemedicine and eHealth (ISfTeH), International Medical Informatics Association (IMIA), European Federation for Medical Informatics (EFMI), German Digital Medicine Society (DGDM), German eHealth Society (DGG), and HL7 Germany among others. He has publications on different aspects of Digital Health, is involved in several major research and development projects in the field, and is a frequent keynote speaker and moderator at international conferences. His main research focus is on Digital Health Education and Upskilling, Global and National Digital Health Policies and Strategies, and Personalized (10P) Health. Since 2019 he has been a WHO Digital Health Consultant. He is a co-founder and head of the Armenian Digital Health Initiative developed and implemented by AADH and its partners.


Other

Prof. Chaltikyan is married and father of two children. His hobbies include futurology and philosophy, social networking, reading, singing, and occasionally engaging in extreme sports activities like skydiving, paragliding, and bungee jumping.