The objective of the paper is to evaluate the quality of systemic change management (CHM) and readiness for change in five Central European countries. The secondary goal is to identify trends and upcoming changes in the field of digital innovations in healthcare. The results show that all compared countries (regardless of their historical context) deal with similar CHM challenges with a rather similar degree of success. A questionnaire distributed to hospitals clearly showed that there is still considerable room for improvement in terms of the use of specific CHM tools. A review focused on digital innovations based on the PRISMA statement showed that there are five main directions, namely, data collection and integration, telemedicine, artificial intelligence, electronic medical records, and M-Health. In the hospital environment, there are considerable reservations in applying change management principles, as well as the absence of a systemic approach. The main factors that must be monitored for a successful and sustainable CHM include a clearly defined and widely communicated vision, early engagement of all stakeholders, precisely set rules, adaptation to the local context and culture, provision of a technical base, and a step-by-step implementation with strong feedback.

Department of Biomedical Technology Czech Technical University Prague 272 01 Kladno Czech Republic

Department of Economic Theories Faculty of Economics and Management Czech University of Life Sciences Prague Kamýcká 129 165 00 Prague Czech Republic

Department of Master Study Programs Faculty of Health Studies J E Purkyne University in Ústí nad Labem 400 96 Ústí nad Labem Czech Republic

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Nilsen P., Seing I., Ericsson C., Birken S.A., Schildmeijer K. Characteristics of successful changes in health care organizations: An interview study with physicians, registered nurses and assistant nurses. BMC Health Serv. Res. 2020;20:147. doi: 10.1186/s12913-020-4999-8. PubMed DOI PMC

Moran J.W., Brightman B.K. Leading organizational change. J. Workplace Learn. 2000;12:66–74. doi: 10.1108/13665620010316226. DOI

Burnes B. Emergent change and planned change-Competitors or allies? The case of XYZ construction. Int. J. Oper. Prod. Manag. 2004;24:886–902. doi: 10.1108/01443570410552108. DOI

Lexa F.J. Leadership Lessons for Health Care Providers. 1st ed. Academic Press; Cambridge, MA, USA: 2016. Profiles in Leadership: What Does it Mean to Be a Great Leader; pp. 8–12.

Lexa F.J. Leadership Lessons for Health Care Providers. 1st ed. Academic Press; Cambridge, MA, USA: 2016. Leading Change in an Organization; pp. 100–108.

World Health Organization WHO Guideline: Recommendations on Digital Interventions for Health System Strengthening. [(accessed on 20 October 2021)]. Available online: https://www.who.int/reproductivehealth/publications/digital-interventions-health-system-strengthening/en/ PubMed

Organization for Economic Co-Operation and Development (OECD) OECD Observatory of Public Sector Innovation. [(accessed on 20 October 2021)]. Available online: https://www.oecd.org/media/oecdorg/satellitesites/opsi/contents/files/SystemsApproachesDraft.pdf.

Bodenheimer T., Sinsky C. From triple to quadruple aim: Care of the patient requires care of the provider. Ann. Fam. Med. 2014;12:573–576. doi: 10.1370/afm.1713. PubMed DOI PMC

Barry S., Dalton R., Eustace-Cook J. Understanding Change in Complex Health Systems—A Review of the Literature on Change Management in Health and Social Care 2007–2017. Organisation Development and Design Services; Kells, Ireland: 2018.

Birken S.A., Lee S.Y.D., Weiner B.J., Chin M.H., Chiu M., Schaefer C.T. From strategy to action: How top managers’ support increases middle managers’ commitment to innovation implementation in health care organizations. Health Care Manag. Rev. 2015;40:159–168. doi: 10.1097/HMR.0000000000000018. PubMed DOI PMC

KPMG Medical Devices 2030. [(accessed on 20 October 2021)]. Available online: https://assets.kpmg/content/dam/kpmg/xx/pdf/2017/12/medical-devices-2030.pdf.

Deloitte The Digital Era in the MedTech Industry. [(accessed on 20 October 2021)]. Available online: https://www2.deloitte.com/content/dam/Deloitte/us/Documents/process-and-operations/us-the-digital-era-in-the-medtech-industry.pdf.

Ernst and Young Pulse of the Industry: Medical Technology Report. 2020. [(accessed on 20 October 2021)]. Available online: https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/health/ey-pulse-medical-technology-report.pdf.

World Health Organization (WHO) Global Strategy on Digital Health 2020–2025. [(accessed on 20 October 2021)]. Available online: https://www.who.int/docs/default-source/documents/gs4dhdaa2a9f352b0445bafbc79ca799dce4d.pdf.

Labrique A.B., Vasudevan L., Kochi E., Fabricant R., Mehl G. mHealth innovations as health system strengthening tools: 12 common applications and a visual framework. Glob. Health Sci. Pract. August. 2013;1:160–171. doi: 10.9745/GHSP-D-13-00031. PubMed DOI PMC

Small A., Gist D., Souza D., Dalton J., Magny-Normilus C., David D. Using Kotter’s change model for implementing bedside handoff. J. Nurs. Care Qual. 2016;31:304–309. doi: 10.1097/NCQ.0000000000000212. PubMed DOI

Kotter J.P. Leading Change, With a New Preface by the Author. 1st ed. Harvard Business Review Press; Boston, MA, USA: 2012.

Maclean D.F.W., Vannet N. Improving trauma imaging in Wales through Kotter’s theory of change. Clin. Radiol. 2016;71:427–431. doi: 10.1016/j.crad.2016.02.003. PubMed DOI

Dolansky M.A., Hitch J.A., Piña I.L., Boxer R.S. Improving Heart Failure Disease Management in Skilled Nursing Facilities: Lessons Learned. Clin. Nurs. Res. 2013;22:432–447. doi: 10.1177/1054773813485088. PubMed DOI

Ellsbury D.L., Clark R.H., Ursprung R., Handler D.L., Dodd E.D., Spitzer A.R. A multifaceted approach to improving outcomes in the NICU: The pediatrix 100 000 babies campaign. Pediatrics. 2016;137:e20150389. doi: 10.1542/peds.2015-0389. PubMed DOI

Baloh J., Zhu X., Ward M.M. Implementing team huddles in small rural hospitals: How does the Kotter model of change apply? J. Nurs. Manag. 2018;26:571–578. doi: 10.1111/jonm.12584. PubMed DOI PMC

Lewin K. Frontiers in Group Dynamics: Concept, Method and Reality in Social Science; Social Equilibria and Social Change. Hum. Relat. 1947;1:5–41. doi: 10.1177/001872674700100103. DOI

Šuc J., Prokosch H.U., Ganslandt T. Applicability of lewińs change management model in a hospital setting. Methods Inf. Med. 2009;48:419–428. PubMed

Abd El-Shafy I., Zapke J., Sargeant D., Prince J.M., Christopherson N.A.M. Decreased Pediatric Trauma Length of Stay and Improved Disposition with Implementation of Lewin’s Change Model. J. Trauma Nurs. 2019;26:84–88. doi: 10.1097/JTN.0000000000000426. PubMed DOI

Shatpattananunt B., Petpichetchian W., Kitrungrote L. Development of the Change Implementation Strategies Model Regarding Evidence-Based Chronic Wound Pain Management. Pac. Rim Int. J. Nurs. Res. 2015;19:359–372.

Tetef S. Successful Implementation of New Technology Using an Interdepartmental Collaborative Approach Recognizing an Opportunity for Growth in New Technology. J. PeriAnesthesia Nurs. 2017;32:225–230. doi: 10.1016/j.jopan.2015.05.118. PubMed DOI

Welbourn D., Warwick R., Carnall C., Fathers D. Leadership of Whole Systems. The King’s Fund; London, UK: 2012.

Newell K., Corrigan C., Punshon J., Leary A. Severe asthma: Emergency care patient driven solutions. Int. J. Health Care Qual. Assur. 2017;30:628–637. doi: 10.1108/IJHCQA-09-2016-0127. PubMed DOI

Checkland P. Achieving ‘desirable and feasible’ change: An application of soft systems methodology. J. Oper. Res. Soc. 1985;36:821–831.

Emes M., Smith S., Ward S., Smith A. Improving the patient discharge process: Implementing actions derived from a soft systems methodology study. Health Syst. 2019;8:117–133. doi: 10.1080/20476965.2018.1524405. PubMed DOI PMC

Schneider W.E. Why good management ideas fail: The neglected power of organizational culture. Strategy Leadersh. 2000;28:24–29. doi: 10.1108/10878570010336001. DOI

Checkland P., Poulter J. Systems Approaches to Managing Change: A Practical Guide. Springer; London, UK: 2010.

Hřebíček J. 5. Letní Škola Matematické Biologie „Analýza Biologických a Klinických dat v Mezioborovém Pojetí. Masarykova univerzita v Brně; Brno, Czechia: 2009. Modelování soft (měkkých) systémů.

Mukotekwa C., Carson E. Improving the discharge planning process: A systems study. J. Res. Nurs. 2007;12:667–686. doi: 10.1177/1744987107078897. DOI

Emes M., Smith S., Ward S., Smith A., Ming T. Care and Flow: Using Soft Systems Methodology to understand tensions in the patient discharge process. Health Syst. 2017;6:260–278. doi: 10.1057/s41306-017-0027-6. DOI

Deiters W., Burmann A., Meister S. Strategies for digitalizing the hospital of the future. Urologe. 2018;57:1031–1039. doi: 10.1007/s00120-018-0731-2. PubMed DOI

Bruthans J. The past and current state of the Czech outpatient electronic prescription (eRecept) Int. J. Med. Inform. 2019;123:49–53. doi: 10.1016/j.ijmedinf.2019.01.003. PubMed DOI

Brice S., Almond H. Health professional digital capabilities frameworks: A scoping review. J. Multidiscip. Healthc. 2020;2:1375–1390. doi: 10.2147/JMDH.S269412. PubMed DOI PMC

Shaw B., Chisholm O. Creeping Through the Backdoor: Disruption in Medicine and Health. Front. Pharmacol. 2020;11:818. doi: 10.3389/fphar.2020.00818. PubMed DOI PMC

OECD . Health in the 21st Century. OECD; Paris, France: 2019.

PROSCI Communication Checklist for Achieving Change Management. [(accessed on 18 August 2021)]. Available online: https://www.prosci.com/resources/articles/change-managementcommunication-checklist.

Ústav Zdravotnických Informací a Statistiky ČR Interaktivní Prohlížeč dat-DRG Restart. [(accessed on 18 August 2021)]; Available online: https://drg.uzis.cz/index.php?pg=referencni-sit--mapovani-akutni-luzkove-121%20pece--interaktivni-prohlizecdat&studie=i&analyza=i.1&zz_type=&var1=pocet_luzek&var2=osa_b.

German Hospital Directory. [(accessed on 18 August 2021)]. Available online: https://www.german-hospital-directory.com/app/search/maps.

Bundesministerium für Soziales, Gesundheit, Pflege und Konsumentenschutz. [(accessed on 18 August 2021)]. Available online: https://kliniksuche.at/suche/bundesland.

Ministerstvo Zdravotníctva Slovenskej Republiky. [(accessed on 18 August 2021)]; Available online: https://www.health.gov.sk/?subjekty-hospodarskej-mobilizacie.

Page M.J., Mckenzie J.E., Bossuyt P.M., Boutron I., Hoffmann T.C., Mulrow C.D., Shamseer L., Tetzlaff J.M., Akl E.A., Brennan S.E., et al. The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ. 2021;372 doi: 10.1136/bmj.n71. PubMed DOI PMC

Ding H., Fatehi F., Maiorana A., Bashi N., Hu W., Edwards I. Digital health for COPD care: The current state of play. J. Thorac. Dis. 2019;11((Suppl. 17)):S2210–S2220. doi: 10.21037/jtd.2019.10.17. PubMed DOI PMC

Fatehi F., Wootton R. Telemedicine, telehealth or e-health? A bibliometric analysis of the trends in the use of these terms. J. Telemed. Telecare. 2012;18:460–464. doi: 10.1258/jtt.2012.gth108. PubMed DOI

Meinert E., Van Velthoven M., Brindley D., Alturkistani A., Foley K., Rees S., Wells G., De Pennington N. The internet of things in health care in Oxford: Protocol for proof-of-concept projects. J. Med. Internet Res. 2018;7:e12077. doi: 10.2196/12077. PubMed DOI PMC

Olze H., Uecker F.C., Häubler S.M., Knopke S., Szczepek A.J., Gräbel S. Hearing Implants in the Era of Digitization. Laryngo- Rhino- Otol. 2019;98:S1–S24. PubMed

Ferrante G., Licari A., Marseglia G.L., La Grutta S. Digital health interventions in children with asthma. Clin. Exp. Allergy. 2021;51:212–220. doi: 10.1111/cea.13793. PubMed DOI PMC

Rose K.J., Petrut C., L’heveder R., De Sabata S. IDF Europe’s position on mobile applications in diabetes. Diabetes Res. Clin. Pract. 2019;149:39–46. doi: 10.1016/j.diabres.2017.08.020. PubMed DOI

Kernebeck S., Busse T.S., Böttcher M.D., Weitz J., Ehlers J., Bork U. Impact of mobile health and medical applications on clinical practice in gastroenterology. World J. Gastroenterol. 2020;26:4182–4197. doi: 10.3748/wjg.v26.i29.4182. PubMed DOI PMC

Wechkunanukul K., Parajuli D.R., Hamiduzzaman M. Utilising digital health to improve medication-related quality of care for hypertensive patients: An integrative literature review. World J. Clin. Cases. 2020;8:2266–2279. doi: 10.12998/wjcc.v8.i11.2266. PubMed DOI PMC

Griauzde D., Kullgren J.T., Liestenfeltz B., Ansari T., Johnson E.H., Fedewa A., Saslow L.R., Richardson C., Heisler M. A mobile phone-based program to promote healthy behaviors among adults with prediabetes who declined participation in free diabetes prevention programs: Mixed-methods pilot randomized controlled trial. JMIR Mhealth Uhealth. 2019;7:e11267. doi: 10.2196/11267. PubMed DOI PMC

Tripoliti E.E., Karanasiou G.S., Kalatzis F.G., Naka K.K., Fotiadis D.I. Heart Failure: From Research to Clinical Practice. Springer; New York, NY, USA: 2018. The Evolution of mHealth Solutions for Heart Failure Management; pp. 353–371. PubMed

Wongvibulsin S., Martin S.S., Steinhubl S.R., Muse E.D. Connected Health Technology for Cardiovascular Disease Prevention and Management. Curr. Treat. Options Cardiovasc. Med. 2019;21:1–15. doi: 10.1007/s11936-019-0729-0. PubMed DOI PMC

Gopal G., Suter-Crazzolara C., Toldo L., Eberhardt W. Digital transformation in healthcare-Architectures of present and future information technologies. Clin. Chem. Lab. Med. 2018;57:328–335. doi: 10.1515/cclm-2018-0658. PubMed DOI

Seyhan A.A., Carini C. Are innovation and new technologies in precision medicine paving a new era in patients centric care? J. Transl. Med. 2019;17:114. doi: 10.1186/s12967-019-1864-9. PubMed DOI PMC

Kataria S., Ravindran V. Digital health: A new dimension in rheumatology patient care. Rheumatol. Int. 2018;38:1949–1957. doi: 10.1007/s00296-018-4037-x. PubMed DOI

Gessa A., Jiménez A., Sancha P. Open innovation in digital healthcare: Users’ discrimination between certified and non-certified mhealth applications. J. Open Innov. Technol. Mark. Complex. 2020;6:1–20.

Lo C., Yu J., Görges M., Matava C. Anesthesia in the modern world of apps and technology: Implications and impact on wellness. Pediatric Anesth. 2021;31:31–38. doi: 10.1111/pan.14051. PubMed DOI

Kouroubali A., Katehakis D.G. The new European interoperability framework as a facilitator of digital transformation for citizen empowerment. J. Biomed. Inform. 2019;94:103166. doi: 10.1016/j.jbi.2019.103166. PubMed DOI

Scott I.A., Sullivan C., Staib A. Going digital: A checklist in preparing for hospital-wide electronic medical record implementation and digital transformation. Aust. Health Rev. 2019;43:302–313. doi: 10.1071/AH17153. PubMed DOI

Meinert E., Alturkistani A., Brindley D., Knight P., Wells G., De Pennington N. The technological imperative for value-based health care. Br. J. Hosp. Med. 2018;79:328–332. doi: 10.12968/hmed.2018.79.6.328. PubMed DOI

Faggini M., Cosimato S., Nota F.D., Nota G. Pursuing Sustainability for Healthcare through Digital Platforms. Sustainability. 2019;11:165. doi: 10.3390/su11010165. DOI

Hermes S., Riasanow T., Clemons E.K., Böhm M., Krcmar H. The digital transformation of the healthcare industry: Exploring the rise of emerging platform ecosystems and their influence on the role of patients. Bus. Res. 2020;13:1033–1069. doi: 10.1007/s40685-020-00125-x. DOI

Park C.-W., Seo S.W., Kang N., Ko B.S., Choi B.W., Park C.M., Chang D.K., Kim H., Kim H., Lee H., et al. Artificial Intelligence in Health Care: Current Applications and Issues. J. Korean Med. Sci. 2020;35:1–11. doi: 10.3346/jkms.2020.35.e379. PubMed DOI PMC

Gehring H., Rackebrandt K., Imhoff M. E-Health und die Realität–was sehen wir heute schon in der Klinik? Bundesgesundheitsblatt-Gesundh. -Gesundh. 2018;61:252–262. doi: 10.1007/s00103-018-2690-6. PubMed DOI

Despotou G., Laleci Erturkmen G.B., Yuksel M., Sarigul B., Lindman P., Jaulent M.C., Bouaud J., Traore L., Lim Choi Keung S.N., De Manuel E., et al. Localisation, personalisation and delivery of best practice guidelines on an integrated care and cure cloud architecture: The C3-cloud approach to managing multimorbidity. Stud. Health Technol. Inform. 2020;270:623–627. PubMed

Kobusinge G. Managing as Designing: Transforming Digital Healthcare Interoperability. Proceedings of the 26th Americas Conference on Information Systems, AMCIS. 2020. [(accessed on 29 August 2021)]. Available online: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097714752&partnerID=40&md5=f4e265b215fc68c6b6aec74633053412.

Kolasa K., Goettsch W., Petrova G., Berler A. ‘Without data, you’re just another person with an opinion’. Expert Rev. Pharm. Outcomes Res. 2020;20:147–154. doi: 10.1080/14737167.2020.1751612. PubMed DOI

Laleci Erturkmen G.B., Yuksel M., Sarigul B., Arvanitis T.N., Lindman P., Chen R., Zhao L., Sadou E., Bouaud J., Traore L., et al. A Collaborative Platform for Management of Chronic Diseases via Guideline-Driven Individualized Care Plans. Comput. Struct. Biotechnol. J. 2019;17:869–885. doi: 10.1016/j.csbj.2019.06.003. PubMed DOI PMC

Wang S.Y., Pershing S., Lee A.Y. Big data requirements for artificial intelligence. Curr. Opin. Ophthalmol. 2020;31:318–323. doi: 10.1097/ICU.0000000000000676. PubMed DOI PMC

Odisho A.Y., Lui H., Yerramsetty R., Bautista F., Gleason N., Martin E., Young J.J., Blum M., Neinstein A.B. Design and development of Referrals Automation, a SMART on FHIR solution to improve patient access to specialty care. JAMIA Open. 2020;3:405–412. doi: 10.1093/jamiaopen/ooaa036. PubMed DOI PMC

Kourtis L.C., Regele O.B., Wright J.M., Jones G.B. Digital biomarkers for Alzheimer’s disease: The mobile/wearable devices opportunity. NPJ Digit. Med. 2019;2:1–9. doi: 10.1038/s41746-019-0084-2. PubMed DOI PMC

Jin X., Liu C., Xu T., Su L., Zhang X. Artificial intelligence biosensors: Challenges and prospects. Biosens. Bioelectron. 2020;165:112412. doi: 10.1016/j.bios.2020.112412. PubMed DOI

Ma Y., Zhang Y., Cai S., Han Z., Liu X., Wang F., Cao Y., Wang Z., Li H., Chen Y., et al. Flexible Hybrid Electronics for Digital Healthcare. Adv. Mater. 2020;32:1902062. doi: 10.1002/adma.201902062. PubMed DOI

Binder A.F., Handley N.R., Wilde L., Palmisiano N., Lopez A.M. Treating Hematologic Malignancies During a Pandemic: Utilizing Telehealth and Digital Technology to Optimize Care. Front. Oncol. 2020;10:1183. doi: 10.3389/fonc.2020.01183. PubMed DOI PMC

Noel K., Ellison B. Inclusive innovation in telehealth. Digit. Med. 2020;3:1–3. PubMed PMC

Guy M., Koizia L., Kooner A., Cafferkey J., Ross C., Purkayastha S., Sivananthan A., Tanna A., Pratt P., Kinross J. Use of the HoloLens2 mixed reality headset for protecting health care workers during the COVID-19 pandemic: Prospective, observational evaluation. J. Med. Internet Res. 2020;22:e21486. PubMed PMC

Umoren R.A., Gray M.M., Handley S., Johnson N., Kunimura C., Mietzsch U., Billimoria Z., Lo M.D. In-Hospital Telehealth Supports Care for Neonatal Patients in Strict Isolation. Am. J. Perinatol. 2020;37:857–860. doi: 10.1055/s-0040-1709687. PubMed DOI PMC

Raphael B.P., Schumann C., Garrity-Gentille S., Mcclelland J., Rosa C., Tascione C., Gallotto M., Takvorian-Bené M., Carey A.N., Mccarthy P., et al. Virtual Telemedicine Visits in Pediatric Home Parenteral Nutrition Patients: A Quality Improvement Initiative. Telemed. e-Health. 2019;25:60–65. doi: 10.1089/tmj.2017.0298. PubMed DOI PMC

Ahad A., Tahir M., Sheikh M.A., Ahmed K.I., Mughees A., Numani A. Technologies trend towards 5g network for smart health-care using iot: A review. Sensors. 2020;20:4047. doi: 10.3390/s20144047. PubMed DOI PMC

Shayevitz C., Breitinger S., Lerario M.P., Mroczkowski M., Osuji M., Fleischut P., Khan M., Murray J., Wilner P., Sombrotto L. Implementation of a Centralized Telepsychiatry Consult Service in a Multi-Hospital Metropolitan Health Care System: Challenges and Opportunities. Psychosomatics. 2020;62:193–200. doi: 10.1016/j.psym.2020.08.002. PubMed DOI PMC

Chamberlain L.R., Hall C.L., Andrén P., Bethan Davies E., Kilgariff J., Kouzoupi N., Murphy T., Hollis C. Therapist-supported online interventions for children and young people with tic disorders: Lessons learned from a randomized controlled trial and considerations for future practice. JMIR Ment. Health. 2020;7:e19600. doi: 10.2196/19600. PubMed DOI PMC

Mamyrbekova S., Nurgaliyeva Z., Saktapov A., Zholdasbekova A., Kudaibergenova A. Medicine of the Future: Digital Technologies in Healthcare. E3S Web Conf. 2020;159:04036. doi: 10.1051/e3sconf/202015904036. DOI

Dohan M.S., Califf C.B., Ghosh K., Tan J. Digital transformation in healthcare: New value for a new movement. Health Policy Technol. 2020;9:177–178. doi: 10.1016/j.hlpt.2020.04.003. DOI

El Hayek S., Nofal M., Abdelrahman D., Adra A., Al Harthi M., Al Shamli S., Alnuaimi N., Bensid L., Cheaito M.A., Emberish A.M., et al. Telepsychiatry in the Arab World: A Viewpoint Before and During COVID-19. Neuropsychiatr. Dis. Treat. 2020;16:2805–2815. doi: 10.2147/NDT.S277224. PubMed DOI PMC

Janda M., Horsham C., Koh U., Gillespie N., Vagenas D., Loescher L.J., Curiel-Lewandrowski C., Hofmann-Wellenhof R., Peter Soyer H. Evaluating healthcare practitioners’ views on store-and-forward teledermoscopy services for the diagnosis of skin cancer. Digit. Health. 2019;5:2055207619828225. doi: 10.1177/2055207619828225. PubMed DOI PMC

Stephenson D., Alexander R., Aggarwal V., Badawy R., Bain L., Bhatnagar R., Bloem B.R., Boroojerdi B., Burton J., Cedarbaum J.M., et al. Precompetitive Consensus Building to Facilitate the Use of Digital Health Technologies to Support Parkinson Disease Drug Development through Regulatory Science. Digit. Biomark. 2020;4:28–49. doi: 10.1159/000512500. PubMed DOI PMC

Lee S. A Showcase of Medical, Therapeutic and Pastime Uses of Virtual Reality (VR) and How (VR) Is Impacting the Dementia Sector. Adv. Exp. Med. Biol. 2019;1156:135–141. PubMed

Bhavnani S.P. Digital Health: Opportunities and Challenges to Develop the Next-Generation Technology-Enabled Models of Cardiovascular Care. Methodist DeBakey Cardiovasc. J. 2020;16:296–303. doi: 10.14797/mdcj-16-4-296. PubMed DOI PMC

Gruska M., Aigner G., Altenberger J., Burkart-Küttner D., Fiedler L., Gwechenberger M., Lercher P., Martinek M., Nürnberg M., Pölzl G., et al. Recommendations on the utilization of telemedicine in cardiology. Wien. Klin. Wochenschr. 2020;132:782–800. doi: 10.1007/s00508-020-01762-2. PubMed DOI

Horgan D., Romao M., Morré S.A., Kalra D. Artificial Intelligence: Power for Civilisation–and for Better Healthcare. Public Health Genom. 2019;22:145–161. doi: 10.1159/000504785. PubMed DOI

Abdel-Basset M., Chang V., Nabeeh N.A. An intelligent framework using disruptive technologies for COVID-19 analysis. Technol. Forecast. Soc. Chang. 2021;163:120431. doi: 10.1016/j.techfore.2020.120431. PubMed DOI PMC

Improta G., Luca V., Illario M., Triassi M. Digital Innovation in Healthcare: A Device with A Method for Monitoring, Managing and Preventing the Risk of Chronic Polypathological Patients. Transl. Med. UniSa. 2020;21:61–64. PubMed PMC

Pesapane F., Codari M., Sardanelli F. Artificial intelligence in medical imaging: Threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur. Radiol. Exp. 2018;2:35. doi: 10.1186/s41747-018-0061-6. PubMed DOI PMC

Burnside M., Crocket H., Mayo M., Pickering J., Tappe A., De Bock M. Do-It-Yourself Automated Insulin Delivery: A Leading Example of the Democratization of Medicine. J. Diabetes Sci. Technol. 2020;14:878–882. doi: 10.1177/1932296819890623. PubMed DOI PMC

Coiera E. The Price of Artificial Intelligence. Yearb. Med. Inform. 2019;28:14–15. doi: 10.1055/s-0039-1677892. PubMed DOI PMC

Park Y., Casey D., Joshi I., Zhu J., Cheng F. Emergence of New Disease: How Can Artificial Intelligence Help? Trends Mol. Med. 2020;26:627–629. doi: 10.1016/j.molmed.2020.04.007. PubMed DOI PMC

Chehade M.J., Yadav L., Kopansky-Giles D., Merolli M., Palmer E., Jayatilaka A., Slater H. Innovations to improve access to musculoskeletal care. Best Pract. Res. Clin. Rheumatol. 2020;34:101559. doi: 10.1016/j.berh.2020.101559. PubMed DOI

Lai L., Wittbold K.A., Dadabhoy F.Z., Sato R., Landman A.B., Schwamm L.H., He S., Patel R., Wei N., Zuccotti G., et al. Digital triage: Novel strategies for population health management in response to the COVID-19 pandemic. Healthcare. 2020;8:100493. doi: 10.1016/j.hjdsi.2020.100493. PubMed DOI PMC

Arora A. Conceptualising artificial intelligence as a digital healthcare innovation: An introductory review. Med. Devices Evid. Res. 2020;13:223–230. doi: 10.2147/MDER.S262590. PubMed DOI PMC

Bhavnani S.P., Sitapati A.M. Virtual Care 2.0—a Vision for the Future of Data-Driven Technology-Enabled Healthcare. Curr. Treat. Options Cardiovasc. Med. 2019;21:21. doi: 10.1007/s11936-019-0727-2. PubMed DOI

Alami H., Lehoux P., Denis J.L., Motulsky A., Petitgand C., Savoldelli M., Rouquet R., Gagnon M.P., Roy D., Fortin J.P. Organizational readiness for artificial intelligence in health care: Insights for decision-making and practice. J. Health Organ. Manag. 2020;35:106–114. doi: 10.1108/JHOM-03-2020-0074. PubMed DOI

Chen M., Decary M. Artificial intelligence in healthcare: An essential guide for health leaders. Healthc. Manag. Forum. 2020;33:10–18. doi: 10.1177/0840470419873123. PubMed DOI

Sharma P., Suehling M., Flohr T., Comaniciu D. Artificial Intelligence in Diagnostic Imaging: Status Quo, Challenges, and Future Opportunities. J. Thorac. Imaging. 2020;35((Suppl. 1)):S11–S16. doi: 10.1097/RTI.0000000000000499. PubMed DOI

Siering L., Ludden G.D.S., Mader A., Van Rees H. A Theoretical Framework and Conceptual Design for Engaging Children in Therapy at Home—The Design of a Wearable Breathing Trainer. J. Pers. Med. 2019;9:27. doi: 10.3390/jpm9020027. PubMed DOI PMC

Badawy R., Hameed F., Bataille L., Little M.A., Claes K., Saria S., Cedarbaum J.M., Stephenson D., Neville J., Maetzler W., et al. Metadata Concepts for Advancing the Use of Digital Health Technologies in Clinical Research. Digit. Biomark. 2019;3:116–132. doi: 10.1159/000502951. PubMed DOI PMC

Kooman J.P., Wieringa F.P., Han M., Chaudhuri S., Van Der Sande F.M., Usvyat L.A., Kotanko P. Wearable health devices and personal area networks: Can they improve outcomes in haemodialysis patients? Nephrol. Dial. Transplant. 2020;35((Suppl. 2)):II43–II50. doi: 10.1093/ndt/gfaa015. PubMed DOI PMC

Zhou N., Corsini E.M., Jin S., Barbosa G.R., Kell T., Antonoff M.H., Antonoff M.B. Advanced Data Analytics for Clinical Research Part I: What are the Tools? Innov. Technol. Tech. Cardiothorac. Vasc. Surg. 2020;15:114–119. doi: 10.1177/1556984520902783. PubMed DOI

Uslu B.Ç., Okay E., Dursun E. Analysis of factors affecting IoT-based smart hospital design. J. Cloud Comput. 2020;9:67. doi: 10.1186/s13677-020-00215-5. PubMed DOI PMC

Braithwaite J., Glasziou P., Westbrook J. The three numbers you need to know about healthcare: The 60–30–10 Challenge. BMC Med. 2020;18:102. doi: 10.1186/s12916-020-01563-4. PubMed DOI PMC

Greenhalgh T., Papoutsi C. Studying complexity in health services research: Desperately seeking an overdue paradigm shift. BMC Med. 2018;16:95. doi: 10.1186/s12916-018-1089-4. PubMed DOI PMC

Kraus S., Schiavone F., Pluzhnikova A., Invernizzi A.C. Digital transformation in healthcare: Analyzing the current state-of-research. J. Bus. Res. 2021;123:557–567. doi: 10.1016/j.jbusres.2020.10.030. DOI

National Academies of Sciences Engineering and Medicine . Crossing the Global Quality Chasm: Improving Health Care Worldwide. The National Academies Press; Washington, DC, USA: 2018. PubMed

Nielsen P., Nielsen R.N., Bamberger S.G., Stamhus J., Fonager K., Larsen A., Vinding A.L., Ryom P., Omland O. Capabilities for innovation: The nordic model and employee participation. Nord. J. Work. Life Stud. 2012;2:85–115. doi: 10.19154/njwls.v2i4.2306. DOI

Garmann-Johnsen N.F., Helmersen M., Eikebrokk T.R. Digital Transformation in Healthcare: Enabling Employee Co-Creation through web 2.0; Proceedings of the 26th Americas Conference on Information Systems 2018, Digital Disruption, AMCIS; New Orleans, LA, USA. 16 August 2018; [(accessed on 31 August 2021)]. Available online: https://www.researchgate.net/publication/328997843_Digital_Transformation_in_Healthcare_Enabling_Employee_Co-Creation_through_Web_20_Completed_Research.

Hartvigsen G., Pedersen S. Lessons Learned from 25 Years with Telemedicine in Northern Norway. 1st ed. University Hospital of North Norway; Tromsø, Norway: 2015.

Nonaka I. Toward Middle-Up-Down Management: Accelerating Information Creation. MIT Sloan Manag. Rev. 1988;20:9–18.

Greenhalgh T., Wherton J., Papoutsi C., Lynch J., Hughes G., A’court C., Hinder S., Fahy N., Procter R., Shaw S. Beyond adoption: A new framework for theorizing and evaluating nonadoption, abandonment, and challenges to the scale-up, spread, and sustainability of health and care technologies. J. Med. Internet Res. 2017;19:e367. doi: 10.2196/jmir.8775. PubMed DOI PMC

Weiner B.J., Amick H., Lee S.Y.D. Conceptualization and measurement of organizational readiness for change. A review of the literature in health services research and other fields. Med. Care Res. Rev. 2008;65:379–436. doi: 10.1177/1077558708317802. PubMed DOI

Blease C., Kaptchuk T.J., Bernstein M.H., Mandl K.D., Halamka J.D., Desroches C.M. Artificial intelligence and the future of primary care: Exploratory qualitative study of UK general practitioners’ views. J. Med. Internet Res. 2019;21:e12802. doi: 10.2196/12802. PubMed DOI PMC

Sdělení Komise Evropskému Parlamentu, Radě, Evropskému Hospodářskému a Sociálnímu Výboru a Výboru Regionů. [(accessed on 30 August 2021)]. Available online: https://eur-lex.europa.eu/legal-content/CS/TXT/?uri=CELEX%3A52016AE3545.

Muffly M., Scheinker D., Muffly T., Singleton M., Agarwal R., Honkanen A. Practice Characteristics of Board-certified Pediatric Anesthesiologists in the US: A Nationwide Survey. Cureus. 2019;11:e5745. doi: 10.7759/cureus.5745. PubMed DOI PMC

Faddis A. The digital transformation of healthcare technology management. Biomed. Instrum. Technol. 2018;52:34–38. doi: 10.2345/0899-8205-52.s2.34. PubMed DOI

Elshaug A.G., Rosenthal M.B., Lavis J.N., Brownlee S., Schmidt H., Nagpal S., Littlejohns P., Srivastava D., Tunis S., Saini V. Levers for addressing medical underuse and overuse: Achieving high-value health care. Lancet. 2017;390:191–202. doi: 10.1016/S0140-6736(16)32586-7. PubMed DOI

Nolte E., World Health Organization How Do We Ensure That Innovation in Health Service Delivery and Organization Is Implemented, Sustained and Spread? [(accessed on 30 August 2021)]. Available online: https://apps.who.int/iris/bitstream/handle/10665/331980/Policy-brief-3-1997-8073-2018-eng.pdf?sequence=5&isAllowed=y.

Hansen S., Baroody A.J. Electronic health records and the logics of care: Complementarity and conflict in the U.S. Healthcare system. Inf. Syst. Res. 2020;31:57–75. doi: 10.1287/isre.2019.0875. DOI

Malhotra N.K., Kim S.S., Agarwal J. Internet users’ information privacy concerns (IUIPC): The construct, the scale, and a causal model. Inf. Syst. Res. 2004;15:336–355. doi: 10.1287/isre.1040.0032. DOI

Naidoo R. Building a critical mass of users for digital healthcare promotion programs: A teaching case. J. Cases Inf. Technol. 2020;22:44–59. doi: 10.4018/JCIT.2020100103. DOI

Henke N., Ehrbeck T., Kibasi T. Unlocking Productivity through Healthcare Delivery Innovations: Lessons from Entrepreneurs around the World. McKinsey & Company; Chicago, IL, USA: 2010.

Britnell M. Human: Solving the Global Workforce Crisis in Healthcare. Oxford University Press; Oxford, UK: 2019.

Greenhalgh T., Robert G., Macfarlane F., Bate P., Kyriakidou O. Diffusion of innovations in service organizations: Systematic review and recommendations. Milbank Q. 2004;82:581–629. doi: 10.1111/j.0887-378X.2004.00325.x. PubMed DOI PMC

Frick N.R.J., Möllmann H.L., Mirbabaie M., Stieglitz S. Driving Digital Transformation During a Pandemic: Case Study of Virtual Collaboration in a German Hospital. JMIR Med. Inform. 2021;9:e25183. doi: 10.2196/25183. PubMed DOI PMC

Allard J., Dzwonczyk R., Yablok D., Block F.E., Mcdonald J.S. Effect of automatic record keeping on vigilance and record keeping time. Br. J. Anaesth. 1995;74:619–626. doi: 10.1093/bja/74.5.619. PubMed DOI

Stol I.S., Ehrenfeld J.M., Epstein R.H. Technology Diffusion of Anesthesia Information Management Systems into Academic Anesthesia Departments in the United States. Anesth. Analg. 2014;118:644–650. doi: 10.1213/ANE.0000000000000055. PubMed DOI

Bruthans J. Anesthesia Information Management Systems in the Czech Republic from the Perspective of Early Adopters. J. Med. Syst. 2020;44:70. doi: 10.1007/s10916-020-1545-5. PubMed DOI