Patient facing decision support system for interpretation of laboratory test results

Georgy Kopanitsa, Ilia Semenov

Результат исследований: Материалы для журналаСтатья

2 Цитирования (Scopus)

Выдержка

Background: In some healthcare systems, it is common that patients address laboratory test centers directly without a physician's recommendation. This practice is widely spread in Russia with about 28% of patients who visiting laboratory test centers for diagnostics. This causes an issue when patients get no help from the physician in understanding the results. Computer decision support systems proved to efficiently solve a resource consuming task of interpretation of the test results. So, a decision support system can be implemented to rise motivation and empower the patients who visit a laboratory service without a doctor's referral. Methods: We have developed a clinical decision support system for patients that solves a classification task and finds a set of diagnoses for the provided laboratory tests results. The Wilson and Lankton's assessment model was applied to measure patients' acceptance of the solution. Results: A first order predicates-based decision support system has been implemented to analyze laboratory test results and deliver reports in natural language to patients. The evaluation of the system showed a high acceptance of the decision support system and of the reports that it generates. Conclusions: Detailed notification of the laboratory service patients with elements of the decision support is significant for the laboratory data management, and for patients' empowerment and safety.

Язык оригиналаАнглийский
Номер статьи68
ЖурналBMC Medical Informatics and Decision Making
Том18
Номер выпуска1
DOI
СостояниеОпубликовано - 20 июл 2018

Отпечаток

Clinical Decision Support Systems
Physicians
Patient Participation
Clinical Laboratory Techniques
Russia
Patient Safety
Routine Diagnostic Tests
Motivation
Language
Referral and Consultation
Delivery of Health Care

ASJC Scopus subject areas

  • Health Policy
  • Health Informatics

Цитировать

Patient facing decision support system for interpretation of laboratory test results. / Kopanitsa, Georgy; Semenov, Ilia.

В: BMC Medical Informatics and Decision Making, Том 18, № 1, 68, 20.07.2018.

Результат исследований: Материалы для журналаСтатья

@article{e205c1dceea8495b9bd9bcb1b2a898f5,
title = "Patient facing decision support system for interpretation of laboratory test results",
abstract = "Background: In some healthcare systems, it is common that patients address laboratory test centers directly without a physician's recommendation. This practice is widely spread in Russia with about 28{\%} of patients who visiting laboratory test centers for diagnostics. This causes an issue when patients get no help from the physician in understanding the results. Computer decision support systems proved to efficiently solve a resource consuming task of interpretation of the test results. So, a decision support system can be implemented to rise motivation and empower the patients who visit a laboratory service without a doctor's referral. Methods: We have developed a clinical decision support system for patients that solves a classification task and finds a set of diagnoses for the provided laboratory tests results. The Wilson and Lankton's assessment model was applied to measure patients' acceptance of the solution. Results: A first order predicates-based decision support system has been implemented to analyze laboratory test results and deliver reports in natural language to patients. The evaluation of the system showed a high acceptance of the decision support system and of the reports that it generates. Conclusions: Detailed notification of the laboratory service patients with elements of the decision support is significant for the laboratory data management, and for patients' empowerment and safety.",
keywords = "Decision support, First order predicates, Laboratory information system, Telemedicine, User acceptance",
author = "Georgy Kopanitsa and Ilia Semenov",
year = "2018",
month = "7",
day = "20",
doi = "10.1186/s12911-018-0648-0",
language = "English",
volume = "18",
journal = "BMC Medical Informatics and Decision Making",
issn = "1472-6947",
publisher = "BioMed Central",
number = "1",

}

TY - JOUR

T1 - Patient facing decision support system for interpretation of laboratory test results

AU - Kopanitsa, Georgy

AU - Semenov, Ilia

PY - 2018/7/20

Y1 - 2018/7/20

N2 - Background: In some healthcare systems, it is common that patients address laboratory test centers directly without a physician's recommendation. This practice is widely spread in Russia with about 28% of patients who visiting laboratory test centers for diagnostics. This causes an issue when patients get no help from the physician in understanding the results. Computer decision support systems proved to efficiently solve a resource consuming task of interpretation of the test results. So, a decision support system can be implemented to rise motivation and empower the patients who visit a laboratory service without a doctor's referral. Methods: We have developed a clinical decision support system for patients that solves a classification task and finds a set of diagnoses for the provided laboratory tests results. The Wilson and Lankton's assessment model was applied to measure patients' acceptance of the solution. Results: A first order predicates-based decision support system has been implemented to analyze laboratory test results and deliver reports in natural language to patients. The evaluation of the system showed a high acceptance of the decision support system and of the reports that it generates. Conclusions: Detailed notification of the laboratory service patients with elements of the decision support is significant for the laboratory data management, and for patients' empowerment and safety.

AB - Background: In some healthcare systems, it is common that patients address laboratory test centers directly without a physician's recommendation. This practice is widely spread in Russia with about 28% of patients who visiting laboratory test centers for diagnostics. This causes an issue when patients get no help from the physician in understanding the results. Computer decision support systems proved to efficiently solve a resource consuming task of interpretation of the test results. So, a decision support system can be implemented to rise motivation and empower the patients who visit a laboratory service without a doctor's referral. Methods: We have developed a clinical decision support system for patients that solves a classification task and finds a set of diagnoses for the provided laboratory tests results. The Wilson and Lankton's assessment model was applied to measure patients' acceptance of the solution. Results: A first order predicates-based decision support system has been implemented to analyze laboratory test results and deliver reports in natural language to patients. The evaluation of the system showed a high acceptance of the decision support system and of the reports that it generates. Conclusions: Detailed notification of the laboratory service patients with elements of the decision support is significant for the laboratory data management, and for patients' empowerment and safety.

KW - Decision support

KW - First order predicates

KW - Laboratory information system

KW - Telemedicine

KW - User acceptance

UR - http://www.scopus.com/inward/record.url?scp=85050309442&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85050309442&partnerID=8YFLogxK

U2 - 10.1186/s12911-018-0648-0

DO - 10.1186/s12911-018-0648-0

M3 - Article

AN - SCOPUS:85050309442

VL - 18

JO - BMC Medical Informatics and Decision Making

JF - BMC Medical Informatics and Decision Making

SN - 1472-6947

IS - 1

M1 - 68

ER -