=Paper=
{{Paper
|id=Vol-2353/paper30
|storemode=property
|title=Automated Information System for the Rehabilitation of Post-Stroke Patients in Residual Period
|pdfUrl=https://ceur-ws.org/Vol-2353/paper30.pdf
|volume=Vol-2353
|authors=Alexander Azarkhov,Irina Fedosova,Tetiana Levytska,Vasily Efremenko,Oleksandr Cheiliakh
|dblpUrl=https://dblp.org/rec/conf/cmis/AzarkhovFLEC19
}}
==Automated Information System for the Rehabilitation of Post-Stroke Patients in Residual Period==
https://ceur-ws.org/Vol-2353/paper30.pdf
Automated information system for the rehabilitation of
post-stroke patients in residual period
Alexander Azarkhov1[000-0003-0062-0616], Irina Fedosova2[0000-0003-3923-8270],
Tetiana Levytska3[0000-0003-3359-1313], Vasily Efremenko4[000-0002-4537-6939],
Oleksandr Cheiliakh5[0000-0002-5794-9036]
1
Priazovsky State Technical University, Universiteskaya str., 7, Mariupol, 87555, Ukraine
alexazarhov@gmail.com
2
Priazovsky State Technical University, Universiteskaya str., 7, Mariupol, 87555, Ukraine
irivasilevna@gmail.com
3
Priazovsky State Technical University, Universiteskaya str., 7, Mariupol, 87555, Ukraine
tlevitiisys@gmail.com
4
Priazovsky State Technical University, Universiteskaya str., 7, Mariupol, 87555, Ukraine
vgefremenko@gmail.com
5
Priazovsky State Technical University, Universiteskaya str., 7, Mariupol, 87555, Ukraine
cheylyakh_o_p@pstu.edu
Abstract. The article outlines the theoretical and practical aspects of the devel-
opment of new approaches for improving the effectiveness of health care based
on information computational technologies. A medical information system for
the process of rehabilitation and rehabilitation of post-stroke patients was de-
signed and implemented, based on structuring each of the levels according by
relevant criteria, which allows to take into account the effect of endogenous and
exogenous risks of patients’ therapy in residual period.
Keywords: medical information system, post-stroke patient, automated com-
puter system, rehabilitation process, program complex, infological scheme
1 Introduction
Medical information systems (MISs) and technologies provide intellectual support for
the physician’s activities, speeding up the decision making while improving the qual-
ity and reliability of the treatment tactics. This is particularly important for the area of
treatment of patients with disorders of cerebral circulation, the number of which is
increasing worldwide every year. Among the causes of primary disability of the adult
population, stroke ranks the second position. In the structure of total mortality stroke
accounts 11.1 %, sharing fifth position with diseases of the nervous system, which is
one of the highest indexes in the world [1].
According to the data of the World Health Organization, 4.6 million people die of a
stroke every year, which is 9-12 % of all causes of death. Among adults, 25 % of
cases of disability are due to stroke, and only 10–20 % of stroke patients return to
work. After a stroke the cognitive impairment, hemiparesis and speech disorders are
observed in 33 %, 30 % and 27 % cases, accordingly.
Neuro-rehabilitation can be classified according to the duration of the recovery pe-
riod as follows: a) an early recovery period - up to 6 months after the acute phase of
the disease; b) late recovery period - from 6 months to 1 year after the acute phase of
the disease; c) residual period - after 1 year [2]. The post-stroke treatment of patients
is complicated task which requires the development of novel approaches including
information computational technologies.
2 Literature review
The systemic study of the residual period of post-stroke rehabilitation was not con-
ducted in Ukraine previously. In particular, the risks in the rehabilitation period were
not classified. The concept of monitoring the health status of post-stroke patients was
not developed while the principles of the continuity of rehabilitation activities were
not worked out. Notably, there was no specialized medical information systems fo-
cused of post-stroke patients’ rehabilitation.
The development of medicine, focused on rehabilitation and maximum restoration
of human functional capabilities, includes new approaches for building up-to-date
information technologies for managing sanatorium-resort activities [3-5]. Among the
current problems there is the creation of integrated informational systems aimed to
optimizing information flows for bringing up the medical care to a new level [6, 7].
Despite the achievements in this field [8-11], the high efficiency of information
support in the rehabilitation process during the residual period was not reached yet.
This could be possible on the basement of integrating the medical treat-
ment/rehabilitation process with computer models, algorithms and other hard-
ware/software tools. This link allows to record, analyze and process the information
in order to find appropriate strategy for patients in the residual period.
Recent studies showed that in the residual period there is a fairly large number of
ambiguities. This is due to the fact that in the period from 1-2 years to 3-5 years after
the acute phase of the disease, its clinical picture may differ significantly for different
patients [1]. In this connection, the concepts of “early residual period” and “late re-
sidual period” were proposed for implementing into clinical studies and practice [12,
13]. It is emphasized that the main task of neuro-rehabilitation (especially in the later
period) is to maintain and stabilize stroke patients for improving the quality of their
health [14]. The resolving of the problem of informatization of post-stroke patients’
rehabilitation is possible only on the basement of up-to-date information systems and
technologies.
There are a number of known information systems used for managing the health
care institutions [15, 16]. The “Institute of Medical Rehabilitation Problems” has
developed an automated information system for supporting rehabilitation treatment
for patients with disorders of the musculoskeletal system. This system covers the
process from optimizing the patient's entrance examination to formulating the rec-
ommendations on appropriate rehabilitation procedures [17]. The software core of the
information system is adapted to the specifics of the treatment/rehabilitation process,
focusing on setting up the workplaces with a wide range of new functionalities.
An automated computer system was developed in “Research Institute of Medical
and Social Expertise and Rehabilitation” to predict the results of rehabilitation for
cerebral stroke and for traumatic brain injury [12]. This automated system allows to
consistently solve the tasks as: (a) the prediction of the results of rehabilitation at
different periods of the disease; (b) the probabilistic prediction of outcome of rehabili-
tation using differentiated diagnostic indicators; (c) the selection of the optimal reha-
bilitation measures depending on the period of the disease and severity of functional
disorders; (d) the developing patients databases with the possibility of statistical proc-
essing the results of the examination and rehabilitation; (e) formulating and printing
the forecast and recommended rehabilitation measures. The mentioned system offers
the physician the tactic of medical rehabilitation taking into account the period of the
disease, the functional class of disorders/disability and the clinical and rehabilitation
prognosis. The use of this system allows to adequately predicts the outcome of reha-
bilitation for cerebral stroke (traumatic brain injury) in the early stages. This leads to
formulating an optimal set of rehabilitation measures aimed at the maximum reduc-
tion in the patient’s disability.
However, the above mentioned medical information systems do not take into ac-
count the risks and specifics of the residual period of post-stroke patients. The aim of
the paper is to develop an adequate medical information system for the rehabilitation
of post-stroke patients in the residual period, focusing on effectiveness of the quality
of the rehabilitation and recovery process of post-stroke patients.
3 The structural organization of MIS for the management of
rehabilitation treatment of post-stroke patients
The development of a medical information system is based on a specific set of the
design principles such as:
- the subject area of MIS functioning is determined by the triad “Patient - Disease –
Diagnostic/ Therapeutic Process”. A feature of the subject area is the ability to change
the relevant fragments of the system as well as its functionality;
- focusing on medical personnel, which has a fairly high user level relative to com-
puting technology and complex biomedical equipment.
The principle of “New tasks” and the principle of “First leader” were implemented
as basic principles for MIS designing [18].
The principle of “New tasks” assumes that the system developers should be suffi-
ciently acquainted with the subject area and the peculiarities of the functioning of
information system [4]. The principle of “First leader” requires the participation of the
head of the institution in the process of development and implementation of an infor-
mation system. This is connected with the need of understanding the problems which
could be caused by implementation of computer system with further managing deci-
sions made by the first manager.
MIS should comply the following design principles: comfort for user, modularity,
adaptability, functional completeness, openness of the system. The block-diagram of
developed MIS for sanatorium-resort rehabilitation of post-stroke patients is shown in
Figure 1.
Fig. 1. Structural diagram of the operational dispatch management of post-stroke
patients’ rehabilitation
The main feature of the health care system in sanatorium-resort institutions is the
close intersection of management tasks and medical care technology, which are based
on the use of resort factors.
4 Functional organization of MIS
The complex of functional capabilities of MIS is formed on the basis of the require-
ment to reduce the risks predicted for each of the components of the triad “Patient -
Disease – Diagnostic/Therapeutic Process” [19]. The features and capabilities of the
created MIS are:
- MIS ensures the formation and management of patient flows having disorders of
the musculoskeletal system, which require specific approach for rehabilitation tactic;
- MIS contains the complex of information support for modern telemedicine tech-
nologies and formation of medical electronic passport of a patient;
- MIS is able to analyze and forecast medical and financial activities of a sanato-
rium ensuring optimal management in order to reduce the medical and financial risks.
Application of designed MIS provides post-stroke patients with the following op-
tions:
- focusing on quantitative and qualitative assessment of the functional and adaptive
capabilities of the human body for the health restoration/correction in order to elevate
patient’s social status;
- a significant improvement in the quality of health care services through the in-
formation interaction between doctors and specialists taking part in the treatment of
the patients;
- continuous monitoring and using the patients’ database through a personal medi-
cal electronic passport;
- formation of individual or personalized programs of rehabilitation and medical
prevention, both primary and secondary;
- the use of common criteria for assessing the effectiveness and adequacy of thera-
peutic and rehabilitation/recreational activities in the clinic, sanatorium and at home.
Ultimately, this leads to an increase in health quality, to prolongation of profes-
sional activity, to decreasing premature mortality and disability, to increasing the
duration and quality of life.
In turn, the authority of the sanatorium is provided by MIS with the following:
- operational information about the health and functional level of both patients and
staff; about the course of the treatment and rehabilitation process; about condition and
dynamics of medical place capacity;
- the results of the analysis of the causes of non-compliance with medical prescrip-
tions with further correction of individual treatment and rehabilitation schemes in
compliance with medical standards;
- the ability to control and manage the medical, financial and other activities of the
sanatorium with the aim of rational targeted expense of financial resources;
- the protection of all medical, financial and other information from unauthorized
access;
- the possibility of saving and the subsequent redistribution of financial resources
by optimizing the structure of the sanatorium, medical-diagnostic and rehabilitation
processes, eliminating duplication of expensive research and appointments.
MIS supplies the medical staff of the sanatorium with the opportunity to ensure the
high quality of treatment and rehabilitation of post-stroke patients due to:
- prompt receipt of the necessary information in a standardized form about medical
appointments and procedures, results of diagnostic, clinical and other studies, etc.;
- information support of the processes of treatment and decision-making to deter-
mine the strategy of treatment of each patient individually;
- informational support for choosing and controlling the therapeutic process with
providing the drugs, physiotherapeutic and balneological procedures, etc.;
- information support for the distribution of medical and rehabilitation procedures
between the patients taking into account work schedules and workload of the respec-
tive medical rooms;
- elimination of duplication of diagnostic studies, procedures and medical prescrip-
tions;
- controlling the performance of staff functional duties by the management;
- controlling the supply and using the medical drugs.
5 User interface
MIS is designed as a computer program “Registry of the automated polyclinic” for
automate maintenance of the registry in the clinic. It is aimed at increasing the reli-
ability and efficiency of receiving and controlling the patients flow. Some of the pro-
gram’s windows are shown in Fig. 2 and Fig. 3.
Fig. 2. The window of the module “Registry of the automated polyclinic”
Fig. 3. The window of the testing methods’ kit
The program “Registry of the automated polyclinic” allows to enter information
about patients into the database providing the doctor with necessary information about
the patient. It also provides an effective control of the workload of the clinic.
The program allows a convenient widescreen search on such criteria as the family
name, date of birth, the region and the area of the residence etc. These parameters can
be used when searching both individually and in a complex.
The fields used in the program are the patient biography, address, contact informa-
tion and medical information about his visits to clinic, information about examina-
tions, diagnoses, previous Botkin's disease, the fluorography, the severity of diabetes
and other necessary information.
After these data are entered and stored in a database, they become accessible to any
user from any workstation under appropriate access right. Under the first program run
the connection to server database is needed. On subsequent runs the connection will
occur automatically.
The program complex involves thirteen test methods, five of which are classical,
which the patient must undergo, and five more are the test methods that the doctor
must consider, basing on the survey and examination of the patient. Three more meth-
ods are the physical tests to indicate the patient health state.
The structure of the physical test is different, since it is envisaged that the patient
will pass it separately. Therefore the only thing that interests the doctor is the result of
the test and the date of its passage.
6 Automated workplace (AWP) of the neurologist
The hierarchy of every medical system includes several levels such as regional, medi-
cal institution and local (the human body). Each of them is characterized by its own
functioning laws and the range of tasks [20].
At the local level, automated systems are widely used to improve the efficiency
and quality of medical care due to computer collecting, processing, storing, presenting
and using medical information necessary to adequately address diagnostic and treat-
ment tasks.
As a rule, for each patient, all stages of the therapeutic and diagnostic process are
to be reflected in chronological order in certain medical records. The doctor and other
medical staff involved, make new records reflecting the nature of their activity and its
specific results. A typical infological scheme of the doctor’s automated workplace
and informational interconnections between the individual components are presented
in Figure 4.
The diagnosis formulated for various diseases is formed in a single format which
reflects: the etiology of the disease; clinical (clinical and morphological) version of
the disease; phase of the disease (remission, exacerbation, etc.); flow stage (initial,
unfolded, etc.); some of the most pronounced syndromes; complications.
An important step in the development and operation of the doctor’s AWP is certifi-
cation of the AWP, which is carried out at three levels: technical, organizational, and
in terms of working and safety conditions.
Fig. 4. Infological scheme of the automated workplace of the neurologist
In the process of certification, AWP receives a comprehensive assessment, defined
as the arithmetic average of three group coefficients namely: assessment at technical
level (K1), assessment at organizational level (K2), and assessment at the level of
working conditions and safety (K3). Each of these levels, in turn, is also defined as the
arithmetic average of the estimates for each of the elements (criteria) that make up
this level. According to the results of AWP certification, each workplace should be
assigned to one of three categories: certified, conditionally certified, not certified.
Schematically, the work on optimization and certification of automated doctor’s
workplaces can be represented by the scheme shown in Fig. 5.
The generalized results of certification allow to obtain systematic information
about using doctors’ AWP in any clinical or sanatorium structure in order to optimize
their structure, functional and operational capabilities.
7 Experiments and results
Achieving an optimal level of health care is possible basing on an integral information
technology for managing the treatment and diagnostic process, which includes the
planning, motivation and control, diagnosis, rehabilitation, and developmental se-
quence according to present-day medical standards.
Fig. 5. Scheme of optimization and certification of doctor’s automated workplace
One approach to rise an effectiveness of treatment and rehabilitation procedure
(TRP) is applying the method of sequential comparison using standard estimates.
According to this method, the efficiency is determined by expertly calculating the
values of individual indicators according to groups of criteria and measuring their
relative significance using an interval scale. At the first stage, the organizational sys-
tem of TRP is identified basing on the goals, functions and resources of this system.
The second stage is the formation of performance criteria. The final procedure for the
formation of a system of criteria is their ranking by the degree of influence on the
efficiency of TRP [21]. The ranking is carried out on a quantitative scale in the range
from 0 to 10. The maximum rating is assigned to the indicator having the greatest
advantage. If the expert's mark of the i-th attribute is designated as аij, then the rela-
tive weight of the indicator (Vi) can be calculated using the formula:
a ij
V i (1)
a
i
ij
i j
The indicator having the greatest weight gets rank 1.0. For each of the most impor-
tant criteria, a utility scale is developed with the range from 0 to 1.0. The main pur-
pose of the scale is to convert dissimilar gauges to their equivalent points. An exam-
ple of constructing such a scale is presented in Figure 6.
Fig. 6. The scale of utility for assessing the effectiveness of TRP
The third stage includes the calculation of the actual values of the indicators and
the conversion of the obtained numerical estimates into points using the utility scale.
The fourth stage is the analysis of the effectiveness of TRP organization. This stage
includes the calculation of reserves of efficiency and the relative assessment of the
significance of the criteria for improving the effectiveness of the system. Standardized
indicators and normalized assessments are used to assess the effectiveness (E) of the
treatment or rehabilitation as:
Abr Aar
Е 100 % (2)
Abr
where Abr and Aar are the assessment of the state before and after rehabilitation, re-
spectively.
MIS was probated upon pilot project conducted in sanatorium “Metallurgist” in
city of Mariupol. The project allowed to compare the sanatorium activity indicators as
a result of MIS application. The effectiveness of medical information system was
studied through an anonymous survey of the users (47 people in total). Twenty nine
persons of them were the doctors, the rest were employees and nursing staff. The
persons who had previous computer experience were: doctors (72 %), employees
(29 %), nursing staff (38 %). The duration of work with the system ranged from 10 to
18 months, while almost half of the users worked with MIS throughout the entire
period.
Analysis showed (Fig. 7) that MIS implementation led to significant improvement
of all the considered indicators.
Fig. 7. The results of MIS usage in practice
Specifically, the doctors’ time decreased: for the doctor core work - by 25 %, for
paperwork - by 33 %, for patient examination - by 12-21 %. The number of patients
served during the same time increased by 14-36 %. The number of complaints for the
quality of medical care decreased by 20-21 %; the number of medical errors de-
creased by 9.7 %. The time spent by the doctors for professional development in rela-
tion to the total working time increased by 15 %.
If the overall assessment of the rehabilitation treatment is rated as: 1 - excellent, 2 -
good, 3 - poor, then the analysis showed the following. The doctors evaluated reha-
bilitation treatment without MIS as 1.9 and with MIS as 1.0. The patients evaluated
rehabilitation treatment without MIS as 1.7 and with MIS as 1.1. This reflects the
improvement of rehabilitation strategy and treatment measures.
The presented results show the high effectiveness of developed medical informa-
tion system.
8 Conclusion
The analysis of the existing approaches of information support for the rehabilitation
treatment of post-stroke patients allowed to set the measures aimed at minimizing the
risks of complications of the central and peripheral nervous systems. It also resulted
in development of criteria and principles for more effective information support.
Some of these principles and criteria allowed to substantiate the strategy of managing
the residual period of rehabilitation of post-stroke patients. The concept of monitoring
the state of post-stroke patients and principles for ensuring the continuity of rehabili-
tation measures using medical information system were formulated.
A medical information system for the rehabilitation of post-stroke patients was
developed in this work. The system is based on structuring each of the levels accord-
ing to relevant criteria, which allows to take into account the effect of endogenous and
exogenous risks.
Two-step control of medical appointments was implemented based on information
model of the rehabilitation system, providing an automated control of appointments
and procedures for compliance with the diagnosis with further adjusting the rehabili-
tation procedures. This resulted in decreasing the number of prescribing drugs and
therapeutic procedures which were inadequate to the state of the patients.
References
1. Kuklina, E.V., Tong, X., George, M.G., Bansil, P.: Epidemiology and prevention of stroke:
a worldwide perspective. Expert Review of Neurotherapeutics. 12(2), 199–208 (2012).
doi: 10.1586/ern.11.99
2. Lee, K.B., Lim, S.H., Kim, K.H., Kim, K.J., Kim, Y.R., Chang, W.N., Yeom, J.W., Kim,
Y.D., Hwang, B.Y.: Six-month functional recovery of stroke patients: a multi-time-point
study. International Journal of Rehabilitation Research. 38(2), 173–180 (2015). doi:
10.1097/MRR.0000000000000108
3. Afandi, R.R., Radman, A., Bahari, M., Zakaria, L.Q., Mustapha, M., Ismail, W.: Ontology
development in patients information system for stroke rehabilitation. In: 8th International
Conference on Biomedical Ontology, ICBO 2017. pp 1-5. CEUR Workshop Proceed-
ings 2137, Newcastle (2017)
4. Berg, M.: The search for synergy: interrelating medical work and patient care information
systems. Methods of Information in Medicine. 42(4), 337–44 (2003). doi:
10.1267/METH03040337
5. Mitrovic, A., Mathews, M., Ohlsson, S., Holland, J., McKinlay, A.: Computer-based post-
stroke rehabilitation of prospective memory. Journal of Applied Research in Memory and
Cognition. 5(2), 204-214 (2016). doi: 10.1016/j.jarmac.2016.03.006
6. Du, H.-S., Ma, J.-J. , Li, M.: High-quality health information provision for stroke patients.
Chinese Medical Journal. 129(17), 2115–2122 (2016). doi: 10.4103/0366-6999.189065
7. Nam, H.S., Park, E., Heo, J.H.: Facilitating stroke management using modern information
technology. Journal of Stroke. 15(3), 135-143 (2013). doi: 10.5853/jos.2013.15.3.135
8. Bohil, C.J., Alicea, B., Biocca, F.A.: Virtual reality in neuroscience research and therapy.
Nature Reviews Neuroscience. 12(12), 752-762 (2011). doi: 10.1038/nrn3122
9. Lin, W.-Y., Chen, C.-H., Tseng, Y.-J., Tsai, Y.-T., Chen, C.-K.: Predicting post-stroke ac-
tivities of daily living through a machine learning-based approach on initiating rehabilita-
tion. International Journal of Medical Informatics. 111, 159-164 (2018). doi:
10.1016/j.ijmedinf.2018.01.002
10. Burilich, I.N., Korenevskiy, N.A., Shtotland, I.M.: Complex diagnostics of functional
states using psychological and physiological experiments data. Harold of New Medical
Technologies. 10(3), 44-46 (2003)
11. Nam, H.S., Cha, M.J., Kim, Y.D., Kim, E.H., Park, E., Lee, H.S.: Use of a handheld, com-
puterized device as a decision support tool for stroke classification. European Journal of
Neurology. 19, 426–430 (2012). doi: 10.1111/j.1468-1331.2011.03530.x
12. Belousova, O.V., Azarkhov, O.Y., Zlepko, S.M., Shtofel, D.Ch., Kostishyn, S.V.: Model
of prognostication of complications and rehabilitation process control of post-apoplectic
patients. Bulletin of the National Technical University “KhPI”. A series of “Information
and Modeling”. 36, 23-28 (2011) (in Russian)
13. Zlepko, S., Sierhieieva, V., Azarkhov, O., Makogon, V.: Biomedical system for emotional
stress evaluation. In: 11th International Conference of Modern Problems of Radio Engi-
neering, Telecommunications and Computer Science, TCSET'2012. pp. 230 (2012) (in
Russian)
14. Prokopenko, S.V., Mozheyko, E.Y., Petrova, M.M., Koryagina, T.D., Bezdenezhnih, A.F.:
Correction of post-stroke cognitive impairments using computer programs. Journal of the
Neurological Sciences. 325(1–2), 148-153 (2013)
15. Park, E., Nam, H.S.: A service-oriented medical framework for fast and adaptive informa-
tion delivery in mobile environment. IEEE Transactions on Information Technology in
Biomedicine. 13, 1049–1056 (2009). doi: 10.1109/TITB.2009.2031495
16. Roy, P.M., Durieux, P., Gillaizeau, F., Legall, C., Armand-Perroux, A., Martino, L.: A
computerized handheld decision-support system to improve pulmonary embolism diagno-
sis: a randomized trial. Annals of Internal Medicine. 151, 677-686 (2009). doi:
10.7326/0003-4819-151-10-200911170-00003
17. Кoziavkin, V.I.: Information security system for the Institute for problems of medical re-
habilitation. Ukrains’kyi Visyk Psykhonevrolohii. 8(2), 10-12 (2000) (in Russian)
18. Ay, H., Benner, T., Arsava, E.M., Furie, K.L., Singhal, A.B., Jensen, M.B.: A computer-
ized algorithm for etiologic classification of ischemic stroke: the Causative classification
of stroke system. Stroke. 38, 2979–2984 (2007). doi: 10.1161/STROKEAHA.107.490896
19. Kozelkin, А.А., Revenko, A.V., Medvedkova, S.A., Subbotovskaya, L.V., Tolstikova,
E.D.: Modern aspects of neurorehabilitation of post-stroke patients. International Neuro-
logical Journal. 8, 20-24 (2010) (in Russian)
20. Kahraman, A., Jones, F.: Factors influencing and shaping the lived experience after stroke:
A systematic review of qualitative studies. JBI Library Systematic Review. 7(8 Suppl), 1-
12 (2009)
21. Bogale, M.A., Yu, H., Sarkodie-Gyan, T., Abdelgawad, A.: Characterization and quantifi-
cation of gait deficits within gait phases using fuzzy-granular computing. J. Biomedical
Science and Engineering. 5, 720-728 (2012). doi: 10.4236/jbise.2012.512090