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Prof. Dr. Georgi Chaltikyan

Digital Health
eHealth & Telemedizin
International & Global Health
Gesundheitsmanagement
Evidenzbasierte Medizin

Fakultät European Campus Rottal-Inn

Professorinnen und Professoren

Professor

Studiengangsleiter Master Digital Health

EC 2.05

0991/3615-8814

Sprechzeiten

Donnerstag: 10:00-13:00

Publikationen

Sortierung:

Vortrag

Georgi Chaltikyan

Telemedicine and Digital Health for Armenia. Invited speaker.

Yerevan, Armenia

Monographie

Georgi Chaltikyan
L. Essayei
D. Khachatryan

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

Yerevan, Armenia: Armenian Association of Digital Health (AADH)

(2023)

Monographie

Georgi Chaltikyan
L. Essayei
D. Khachatryan

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

Yerevan, Armenia: Armenian Association of Digital Health (AADH)

(2023)

Beitrag in Sammelwerk/Tagungsband

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:
M. Jordanova
F. Lievens

pg. 73-76

(2010)

Beitrag in Sammelwerk/Tagungsband

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:
M. Jordanova
F. Lievens

vol. 3 pg. 295-299

(2010)

Beitrag in Sammelwerk/Tagungsband

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.

pg. 175-184

(2011)

Beitrag in Sammelwerk/Tagungsband

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.

pg. 164-174

(2011)

Beitrag in Sammelwerk/Tagungsband

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:
M. Jordanova
F. Lievens

pg. 447-451

(2011)

Zeitschriftenartikel

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

Beitrag in Sammelwerk/Tagungsband

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".

pg. 345-347

(2012)

Zeitschriftenartikel

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

Beitrag in Sammelwerk/Tagungsband

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:
D. Vasic
I. Lacković

Cham: Springer International Publishing vol. 45 pg. 1008-1011

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

(2015)

Beitrag in Sammelwerk/Tagungsband

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:
M. Jordanova
F. Lievens

vol. 9 pg. 161-167

(2016)

Beitrag in Sammelwerk/Tagungsband

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:
M. Jordanova
F. Lievens

vol. 9 pg. 168-172

(2016)

Monographie

Georgi Chaltikyan
A. Astvatsatryan

International Healthcare Systems.

Yerevan, Armenia: “Hairapet” Publishing House

(2017)

Vortrag

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.

Berlin 22.-25.10.2019.

(2019)

Vortrag

Georgi Chaltikyan

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

Romanian Society of Medical Bioengineering.

Iași, Romania 21.-23.11.2019.

(2019)

Zeitschriftenartikel

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

Abstract anzeigen

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.

Zeitschriftenartikel

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

Abstract anzeigen

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.

Vortrag

Georgi Chaltikyan

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

Maulana Abul Kalam Azad University of Technology.

West Bengal, India 14.06.2020.

(2020)

Vortrag

Georgi Chaltikyan

German Healthcare Market. Keynote.

25.06.2020.

(2020)

Vortrag

Georgi Chaltikyan

Telemedicine – Global Landscape. Keynote.

02.08.2020.

(2020)

Vortrag

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.

13.11.2020.

(2020)

Beitrag in Sammelwerk/Tagungsband

Georgi Chaltikyan
Fara Fernandes
D. Khachatryan
L. Essayei

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

In:
M. Jordanova
F. Lievens

Sofia, Bulgaria pg. 1-81

(2021)

Vortrag

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)

Vortrag

Georgi Chaltikyan

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

Online 17.06.2021.

(2021)

Vortrag

Georgi Chaltikyan

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

Online 30.06.2021.

(2021)

Zeitschriftenartikel

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

Abstract anzeigen

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.

Zeitschriftenartikel

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

Abstract anzeigen

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.

Vortrag

Georgi Chaltikyan

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

Yerevan Tech Forum.

Yerevan, Armenia 19.-20.05.2023.

Vortrag

Georgi Chaltikyan

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

Lisbon, Portugal 07.06.-09.06.2023.

Vortrag

Georgi Chaltikyan

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

Porto, Portugal 05.09.-06.09.2023.

Vortrag

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.

Vortrag

Georgi Chaltikyan

The Intelligent Hospital: Visualizing the Future. Invited speaker.

Malta 19.-20.10.2023.

Vortrag

Georgi Chaltikyan

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

WHO EURO.

11.2023.

Vortrag

Georgi Chaltikyan

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

Gent, Belgium; Online 28.11.-01.12.2023.

(2023)

Zeitschriftenartikel

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

Abstract anzeigen

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.

Zeitschriftenartikel

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

(2024)

DOI: 10.1093/dmfr/twae056

Abstract anzeigen

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.

Zeitschriftenartikel

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

(2024)

DOI: 10.1016/j.ijmedinf.2024.105510

Abstract anzeigen

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.

Vortrag

Georgi Chaltikyan

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

Göteborg, Schweden 22.-25.05.2024.

Projekte

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

Labore

Digital Health Data Integration

Kernkompetenzen

Digitale Gesundheit
Ausbildung im Bereich digitale Gesundheit
Globale und internationale Gesundheit
Management im Gesundheitswesen
Allgemeinmedizin
Laparoskopische Chirurgie
Verdauungsmedizin und Chirurgie

Forschungs- und Lehrgebiete

Bereiche der Forschung und Bildung:

Digital Health Ausbildung
Digital Health Upskilling und Reskilling
Digitale Gesundheitskompetenz und Navigation
Globale Politik und Strategien für digitale Gesundheit
Künstliche Intelligenz für die Gesundheit (AI4H)
Digital Health Twins (DHT) und Personalisierte Gesundheit (10P-Health)

Module in den Studiengängen Master of Digital Health (MDH), Master of Global Public Health (GPH) und Bachelor of Health Informatics (HI-B):

Grundlagen der Medizin
Grundlagen der digitalen Gesundheit
Digitale Kodiersysteme und Standards
Digitale Gesundheitsforschung
Digitale Gesundheitsinformationssysteme
Digitales Gesundheitsmanagement
Digitale Gesundheitsanwendungen
Digitale Gesundheitsökonomie und -management
Medizinische Dokumentation
Evidenzbasierte Medizin
Gesundheitsprognose - Zukünftige Todesursachen

Vita

Dr. Dr. med. Georgi Chaltikyan ist Professor und Leiter des Masterstudiengangs Digital Health an der Fakultät European Campus Rottal-Inn (ECRI) der Technischen Hochschule Deggendorf (DIT-ECRI), Gründer und Leiter des Forschungs- und Ausbildungszentrums für Digital Head an der Russisch-Armenischen (Slawischen) Universität (RAU-CDH) sowie Gründer und Vorsitzender der Armenian Association of Digital Health (AADH).

Er ist Absolvent der Staatlichen Medizinischen Universität Eriwan in Armenien; er wurde als Allgemeinchirurg ausgebildet und verbrachte rund 20 Jahre in der klinischen Praxis in der allgemeinen/viszeralen und laparoskopischen Chirurgie. Er verfügt über umfangreiche Erfahrungen in der Ausbildung, Forschung und Verwaltung im Gesundheitswesen. Von 2001 bis 2009 war er als Privat-Dozent an der Staatlichen Medizinischen Universität Eriwan tätig und unterrichtete Medizin und Chirurgie für Studenten und Doktoranden (in englischer, armenischer und russischer Sprache).

Von 2009 bis 2010 war er Fulbright-Gastwissenschaftler an der Keck School of Medicine der University of Southern California in Los Angeles, USA. Von 2010 bis 2015 arbeitete er in einer privaten chirurgischen Praxis in einem großen Krankenhaus. Er verfügt über mehr als 15 Jahre Berufserfahrung auf dem Gebiet der digitalen Gesundheit. Als Gründer einer e.V., der Armenian Association of Digital Health (AADH), war er maßgeblich an der Konzeption und Umsetzung mehrerer erfolgreicher Digital-Health-Projekte mit internationaler Beteiligung beteiligt.

Prof. Chaltikyan ist seit dem Start des DIT-ECRI im Jahr 2015 Programmleiter des Master of Digital Health (MDH), der als Double-Degree-Studiengang am DIT-ECRI in Deutschland und an der RAU in Armenien angeboten wird, und ist für mehrere Kurse (Module) in den Bereichen Digital Health, Global and International Healthcare Management, Gesundheitsforschung, Gesundheitsökonomie, Grundlagen der Medizin und andere verantwortlich. Er leitet auch internationale Kooperationsprojekte und -programme, wie z.B. die Partnerschaft mit namhaften Organisationen wie der Healthcare Information and Management Systems Society (HIMSS), der International Society for Telemedicine and eHealth (ISfTeH), der International Medical Informatics Association (IMIA), der European Federation for Medical Informatics (EFMI), der Deutschen Gesellschaft für Digitale Medizin (DGDM), der Deutschen Gesellschaft für eHealth (DGG) und HL7 Deutschland. Er hat zu verschiedenen Aspekten von Digital Health publiziert, ist an mehreren großen Forschungs- und Entwicklungsprojekten in diesem Bereich beteiligt und tritt häufig als Keynote-Speaker und Moderator auf internationalen Konferenzen auf. Seine Forschungsschwerpunkte liegen in den Bereichen Digital Health Education and Upskilling, Global and National Digital Health Policies and Strategies, und Personalized (10P) Health. Seit 2019 ist er Berater der WHO für digitale Gesundheit. Er ist Mitbegründer und Leiter der armenischen Digital Health Initiative, die von AADH und seinen Partnern entwickelt und umgesetzt wird.

Sonstiges

Prof. Dr. Chaltikyan ist verheiratet und Vater von zwei Kindern. Zu seinen Hobbys gehören Zukunftsforschung und Philosophie, soziale Netzwerke, Lesen, Singen und gelegentliche Extremsportaktivitäten wie Fallschirmspringen, Paragliding und Bungee-Springen.