APPLIED ASPECTS OF COMPUTER SCIENCE
CONTROL SYSTEMS
SOFTWARE ENGINEERING
BIOINFORMATICS AND MEDICINE
E.B. Kleymenova, L.P. Yashina Digital technologies for improving the quality and safety of acute cardiovascular disease management
DATA PROCESSING AND ANALYSIS
SECURITY ISSUES
E.B. Kleymenova, L.P. Yashina Digital technologies for improving the quality and safety of acute cardiovascular disease management

Abstract:

The paper describes a soft- and hardware complex (IT-complex) for clinical workflow management, including Decision Support System (DSS) and Radio Frequency Identification (RFID) system. DSS helps to make decisions on treating patient according to clinical guidelines, to account the severity of his condition when evaluating treatment outcomes, to generate automatically clinical quality registers, to analyze and compare key performance indicators of healthcare providers. RFID provides an objective automated control over the execution and timing of workflow activities, in accordance with the normative quality criteria and clinical guidelines. IT-complex can be installed independently or be integrated with a medical information system. It was introduced in a general hospital; its effectiveness was proved for managing patients with acute coronary syndrome.

Keywords:

workflow management, radio-frequency identification, decision support system, acute coronary syndrome

PP. 76-86.

DOI 10.14357/20718632190107

References

1. Benjamin, E.J., Blaha, M.J., Chiuve, S.E. et al. 2017. Heart disease and stroke statistics –2017 update. Circulation; 135: e146-e603.
2. Moran, A.E., Forouzanfar, M.H., Roth, G.A. et al. 2014. Temporal trends in ischemic heart disease mortality in 21world regions, 1980 to 2010: the global burden of disease 2010 study. /Circulation. 129: 1483-1492.
3. Hoesing, H. Clinical practice guidelines: closing the gap between theory and practice. A white paper by Joint Commission International. Joint Commission International; 2016. Available at: https://www.elsevier.com/__data/assets/pdf_file/0007/190177/JCI-Whitepaper_cpgs-closing-the-gap.pdf (Accessed: July 14, 2017).
4. Mehta, R.H., Chen, A.Y., Alexander, K.P. et al. 2015. Doing the right things and doing them the right way: the association between hospital guideline adherence, dosing safety, and outcomes among patients with acute coronary syndrome. Circulation. 131 (11).
5. Fonarow, G.C., Yancy, C.W., Hernandez, A.F. et al. 2011. Potential impact of optimal implementation of evidencebased heart failure therapies on mortality. Am. Heart J. 161 (6): 1024-1030.
6. Shea, S., DuMouchel, W., Bahamonde, L. et al. 1996. A meta-analysis of 16 randomized controlled trials to evaluate computer-based clinical reminder systems for preventative care in the ambulatory setting. JAMIA. 3 (6): 399-409.
7. Bright, T.J., Wong, A., Dhurjati, R. et al. 2012. Effect of clinical decision-support systems. A systematic review. Ann. Intern. Med. 157: 29-43
8. Moja, L., Kwag, K.H., Lytras, T. et al. 2014. Effectiveness of computerized decision support systems linked to electronic health records: a systematic review and metaanalysis. Am. J. Publ. Health. 104 (12): e12-22.
9. Esmaeilzadeh, P, Sambasivan, M, Kumar, N, Nezakati, H. 2015. Adoption of clinical decision support systems in a developing country: antecedents and outcomes of physician’s threat to perceived professional autonomy. Int J Med Inform. 84: 548−560
10. Nazarenko, G.I., Polubentseva, E.I. Proektirovaniye meditsinskikh tekhnologicheskikh protsessov [Designing of medical technological processes]. Moscow, 2001. 29 p.
11. Marreili, T.M. Hiliard, L.S. Home care and clinical paths.- Et. Lionis: Mosby, 1996
12. Huang, Z., Bao, Y., Dong, W. et al. 2014. Online treatment compliance checking for clinical pathways. J. Med. Systems. 38 (10): 123-134.
13. Bögel, S., Schlieter, H., Esswein, W. 2011. Compliance check of health care process models. AMCIS 2011 proceedings. Detroit, August 4th – 7th 2011. Available at: https://aisel.aisnet.org/amcis2011_submissions/357. (Accessed: April 10, 2015).
14. Wamba, S.F., Anand, A., Carter, L. A 2013. literature review of RFID-enabled healthcare applications and issues. Int. J. Inform. Manag. 33: 875– 891
15. Yao, W., Chu, C.H., Li, Z. 2012. The adoption and implementation of RFID technologies in healthcare: a literature review. J. Med. Syst. 2012; 36: 3507–3525.
16. Kannry, J., Emro, S., Blount, M., Ebling, M. 2007. Smallscale testing of RFID in a hospital setting: RFID as bed trigger. AMIA Annual Symposium Proc. 384–388
17. Nazarenko, G.I., Kleimenova, E.B., Ladokhin, I.A. et al. 2014. Sistema radiochastotnoy identifikatsii kak instrument vnedreniya «meditsinskogo tekhnologicheskogo protsessora» v mnogoprofil'noy bol'nitse [Radio-frequency identification system as a tool for implementation of "medical technological processor" in a general hospital]. Informatsionnoizmeritel'nyye i upravlyayushchiye sistemy [Informationmeasuring and control systems] (10): 75-81.18. Nazarenko, G.I., Kleimenova, E.B., Zhuikov, M.Yu. et al. 2014. Sistema avtomatizatsii klinicheskikh rukovodstv i audita lecheniya [The system of automation of clinical guidelines and audit of treatment] Vrach i informatsionnyye tekhnologii [Doctor and Information Technologies] (2): 23-32
19. Nazarenko, G.I., Kleimenova, E.B., Yashina, L.P., Payushik, S.A. 2018. Problema translyatsii znaniy v zdravookhranenii: instrumenty dlya yeye resheniya v oblasti bezopasnosti patsiyentov [The problem of knowledge translation in health care: tools for its solution in the field of patient safety]. Vestnik Rossiyskoy Akademii Meditsinskikh nauk [Bulletin of the Russian Academy of Medical Sciences] (2): 106-115.
20. Posenkova, OM, Kiselev, AR., Duplyakov, D.V. et al. 2014. Primeneniye otechestvennoy sistemy indikatorov dlya otsenki kachestva meditsinskoy pomoshchi bol'nym s ostrym koronarnym sindromom s podjemom segmenta ST: shag navstrechu praktike publichnykh otchotov o kachestve [Application of Russian indicator system for assessing the healthcare quality for patients with acute coronary syndrome with ST elevation: a step towards public quality reports practice. Kardio-IT [Cardio-IT] (1).
21. Spertus, J.A., Eagle, K.A., Krumholz, H.M. et al. 2005. American College of Cardiology and American Heart Association methodology for the selection and creation of performance measures for quantifying the quality of cardiovascular care. J Am Coll Cardiol. 45: 1147–1156.
22. Boytsov, S.A., Martsevich, S.Yu., Kutishenko, N.P. et al. 2013. Registry v kardiologii. Osnovnyye pravila provedeniya i real'nyye vozmozhnosti [Registers in cardiology. Basic rules for conducting and real opportunities]. Kardiovaskulyarnaya terapiya i profilaktika [Cardiovascular therapy and prevention]. 12 (1): 4-9.  

2024 / 01
2023 / 04
2023 / 03
2023 / 02

© ФИЦ ИУ РАН 2008-2018. Создание сайта "РосИнтернет технологии".