Perceptions and needs of health professionals concerning health information systems

Konstantinos Milioris, Charalampos Konstantopoulos, Konstantinos Papageorgiou

Abstract


Background: In recent decades, there has been an increasing interest in patients’ needs and their satisfaction with health systems. Various studies have presented several benefits of information management application in health care. Health information technology can contribute to improving health care services performance, cost savings, and greater engagement of patients in their own health. Therefore, many health care organizations are planning to increase their overall adoption of information technology in their activities.

Objectives: The aim of our research is to assess health professionals’ views on the adoption and value of health information systems and to assess their usage.

Methods: The research focuses on the use of health information technologies in the National Health System in Greece and was performed using a structured electronic questionnaire answered by 1,216 doctors, nurses, and other health care staff.

Results: Among the study sample, 92.11% of the hospitals had installed a Health Information System (HIS). Of the respondents, 86.18% believed that the adoption of HIS was extremely important, and 88.8% reported a high or very high frequency of usage in their workplace. However, in 22.3% of the cases, health professionals highlighted the need for integrated information systems: because there was no connection or information exchange installed within the various (clinical and administrative) information systems, this was considered to be a barrier for the effectiveness and improvement of the health care system.

Conclusions: The analysis led to the proposal for an information system based on the needs for information and health professionals’ skills in the field of information and communication technologies.


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References


Andreassen HK, Kjekshus LE, Tjora A. Survival of the project: a case study of ICT innovation in health care. Soc Sci Med. 2015;132:62-69

Hajli N, Featherman MS. The impact of new ICT technologies and its applications on health service development and management. Technol Forecasting Soc Change. 2018;126:1-2

Zhang Y, Li X, Qiao S, Zhou Y, Shen Z. Information Communication Technology (ICT) use among PLHIV in China: A promising but underutilized venue for HIV prevention and care. Int J Inf Manag. 2018;38(1):27-33

Griebel L, Prokosch HU, Köpcke F, et al. A scoping review of cloud computing in healthcare. BMC Med Inform Decis Mak. 2015;15(1):17

Voutsidou S. E-health applications for smart and pervasive healthcare in Greece. What can we expect? Smart Pervasive Healthc. 2021 DOI: 10.5772/intechopen.95859

Saha S, Beach MC, Cooper LA. Patient centeredness, cultural competence and healthcare quality. J Nat Med Assoc. 2008;100(11):1275-1285

Chalikias M, Drosos D, Skordoulis M, Tsotsolas N. Determinants of customer satisfaction in healthcare industry: the case of the Hellenic Red Cross. Int J Electron Mark Retailing. 2016;7(4):311-321

Cai CJ, Winter S, Steiner D, Wilcox L, Terry M. ‘Hello AI’: uncovering the onboarding needs of medical practitioners for human-AI collaborative decision-making. Proc. ACM Hum.-Comput. Interact. 3, CSCW, Article 104 (November 2019), 24 pages DOI:https://doi.org/10.1145/3359206

European Commission (EC). The EU General Data Protection Regulation (GDPR). 2018 https://www.eugdpr.org/ Accessed January 30, 2020

Minou J, Mantas J, Malamateniou F, Kaitelidou D. Health professionals’ perception about big data technology in Greece. Acta Inform Med. 2020;28(1):48-51 doi: 10.5455/aim.2020.28.48-51

Viitanen J, Hyppönen H, Lääveri T, Vänskä J, Reponen J, Winblad I. National questionnaire study on clinical ICT systems proofs: physicians suffer from poor usability. Int J Med Inform. 2011;80(10):708-725

Gagnon MP, Desmartis M, Labrecque M, et al. Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals. J Med Syst. 2012;36(1):241-277 https://doi.org/10.1007/s10916-010-9473-4

Marangunić N, Granić A. Technology acceptance model: a literature review from 1986 to 2013. Univers Access Inf Soc. 2014;14(1):81-95 doi:10.1007/s10209-014-0348-1

Tsaklakidou D, Sotirhou A, Tsikrikas S, et al. Integration of information technology and communication in public hospital at Greece. In: Proceedings of the 3rd Panhellenic Congress on Health Management, Economics and Policies. Athens; December 2007 (in Greek)

Economou C, Kaitelidou D, Karanikolos M, Maresso A. Greece: health system review. Health Syst Transit. 2017;1-166 PMID: 29972131

Bowman S. Impact of electronic health record systems on information integrity: quality and safety implications. Perspect Health Inf Manag. 2013;10(fall)

Ward R. The application of technology acceptance and diffusion of innovation models in healthcare informatics. Health Policy Technol. 2013;2(4):222-228 doi:10.1016/j.hlpt.2013.07.002

Posiopoulos A, Siskou O, Prezerakas P, Moisoglon I, Theodorou M, Kaitelidou D. Implementation of e-procurement System in health sector in Greece: altitudes of potential users and implementations for hospital management. Int J of Health Res Innov. 2013;1(1):15-23

Konttila J, Siira H, Kyngäs H, et al. Healthcare professionals’ competence in digitalization: a systematic review. J Clin Nurs. 2019; 28(5-6):745-61 doi:10.1111/jocn.14710

Hübner U, Ammenwerth E, Flemming D, Schaubmayr C, Sellemann B. IT adoption of clinical information systems in Austrian and German hospitals: results of a comparative survey with a focus on nursing. BMC Med Inform Decis Mak. 2010;10(1):8

Jordan JE, Buchbinder R, Briggs AM, et al. The Health Literacy Management Scale (HeLMS): A measure of an individual’s capacity to seek, understand and use health information within the healthcare setting. Patient Educ Couns. 2013;91(2):228-235

Carter EL, Nunlee-Bland G, Callender C. A patient-centric, provider-assisted diabetes telehealth self-management intervention for urban minorities. Perspect Health Inf Manag/AHIMA, Am Health Inf Manag Assoc. 2011;8 (winter)

Gibbons MC. Use of health information technology among racial and ethnic underserved communities. Perspect Health Inf Manag/AHIMA, Am Health Inf Manag Assoc. 2011;8(winter)

Jamal A, McKenzie K, Clark M. The impact of health information technology on the quality of medical and health care: a systematic review. Health Inf Manag. 2009;38(3):26-37

Or CK, Tao D. Does the use of consumer health information technology improve outcomes in the patient self-management of diabetes? A meta-analysis and narrative review of randomized controlled trials. Int J Med Inform. 2014;83(5):320-329

Pratt W, Unruh K, Civan A, Skeels MM. Personal health information management. Commun ACM. 2006;49(1):51-55

Buntin MB, Burke MF, Hoaglin MC, Blumenthal D. The benefits of health information technology: a review of the recent literature shows predominantly positive results. Health Aff. 2011;30(3):464-471

Haluza D, Jungwirth D. ICT and the future of health care: aspects of health promotion. Int J Med Inform. 2015;84(1):48-57

Cresswell K, Sheikh A. Organizational issues in the implementation and adoption of health information technology innovations: an interpretative review. Int J Med Inform. 2013;82(5):73-86

Mukred M, Yusof ZM, Alotaibi FM, Mokhtar UA, Fauzi F. The key factors in adopting an Electronic Records Management System (ERMS) in the educational sector: a UTAUT-based framework. IEEE Access. 2019;7:35963-80 doi:10.1109/access.2019.2904617

Bowens FM, Frye PA, Jones WA. Health information technology: integration of clinical workflow into meaningful use of electronic health records. Perspect Health Inf Manag/AHIMA, Am Health Inf Manag Assoc. 2010;7(fall)

Schaper LK, Pervan GP. ICT and OTs: A model of information and communication technology acceptance and utilisation by occupational therapists. Int J Med Inform. 2007;76:212-221

Tung FC, Chang SC, Chou CM. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry. Int J Med Inform. 2008;77(5):324-335

Aggelidis VP, Chatzoglou PD. Using a modified technology acceptance model in hospitals. Int J Med Inform. 2009;78(2):115-126

Sezgin E, Yıldırım SÖ. A literature review on attitudes of health professionals towards health information systems: from e-health to m-health. Procedia Technol. 2014;16:1317-1326

Hassanalieragh M, Page A, Soyata T, et al. Health monitoring and management using Internet-of-Things (IoT) sensing with cloud-based processing: opportunities and challenges. In: Proceedings of the Services Computing (SCC), 2015 IEEE International Conference. New York; 2015:285-292

Murdoch TB, Detsky AS. The inevitable application of big data to health care. JAMA. 2013;309(13):1351-1352

Ajuwon GA, Rhine L. The level of Internet access and ICT training for health information professionals in sub-Saharan Africa. Health Info Lib J. 2008;25(3):175-185

Zhang C, Zhu L, Xu C, Lu R. PPDP: an efficient and privacy-preserving disease prediction scheme in cloud-based e-Healthcare system. Future Gener Comput Syst. 2018;79:16-25 doi:10.1016/j.future.2017.09.002

Al Omar A, Bhuiyan MZA, Basu A, Kiyomoto S, Rahman, MS. Privacy-friendly platform for healthcare data in cloud based on blockchain environment. Future Gener Comput Syst. 2019 doi:10.1016/j.future.2018.12.044

Pothos N, Skordoulis M, Chalikias M. Study of the Greek public servants’ healthcare and insurance organisation financial resources evolution. Manag Health. 2014;18(1):33-37




DOI: https://doi.org/10.31449/inf.v46i7.3974

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