Method of the Data Adequacy Determination of Personal Medical Profiles

This paper presents the current problem of determining the level of data adequacy of personal medical profiles comparing to the online information tracks of the same persons. In this work, the analysis of data verification of personal medical profiles of several major medical information systems is conducted. The analysis of data adequacy level of personal medical profiles of major medical centers is carried out based on the algorithm for determining the personal data adequacy and model of personal medical profiles based on online information tracks. The results of the study in the information support system for making medical decisions are implemented. The proposed method of data verification of personal medical profiles is in demand and effective in detecting non-valid accounts and accounts with incorrect or stale data. The effectiveness of the verification system of personal medical profiles shows that the volume of checking personal data by medical workers is reduced by 3–5 times.

[1]  Christian Tahon,et al.  Integrating Hospital Information Systems in Healthcare Institutions: A Mediation Architecture , 2012, Journal of Medical Systems.

[2]  Solomia Fedushko,et al.  Methods for forming an informational image of a higher education institution , 2015, Webology.

[3]  Abdiansah Abdiansah,et al.  Survey on Answer Validation for Indonesian Question Answering System (IQAS) , 2018 .

[4]  U. B Mahadevaswamy Wireless Wearable Smart Healthcare Monitoring using Android , 2018 .

[5]  Bilushchak Tetiana,et al.  Development of method of search and identification of historical information in the social environment of the Internet , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[6]  Yuriy Syerov,et al.  University’s Information Image as a Result of University Web Communities’ Activities , 2017 .

[7]  Thomas J. Johnson,et al.  Webelievability: A Path Model Examining How Convenience and Reliance Predict Online Credibility , 2002 .

[8]  Siddikjon Gaibullojonovich Abduganiev,et al.  Towards Automated Web Accessibility Evaluation: A Comparative Study , 2017 .

[9]  Yuriy Syerov,et al.  Principles of university's information image protection from aggression , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).

[10]  Vinay Kumar,et al.  A Solution to Secure Personal Data When Aadhaar is linked with DigiLocker , 2018 .

[11]  Yuriy Syerov,et al.  Methods of Determining Information Support of Web Community User Personal Data Verification System , 2017, AUTOMATION.

[12]  Ali M. Meligy,et al.  Identity Verification Mechanism for Detecting Fake Profiles in Online Social Networks , 2017 .

[13]  Shyam R. Sihare Roles of E–content for E–business: Analysis , 2018 .

[14]  Yuriy Syerov,et al.  Protection of University Information Image from Focused Aggressive Actions , 2016, ICONS 2016.

[15]  Solomia Fedushko,et al.  Detection of department with low information activity , 2017, 2017 12th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT).

[16]  Simon P. Westrip,et al.  publCIF: software for editing, validating and formatting crystallographic information files , 2010 .

[17]  Yuriy Syerov,et al.  Determination of development scenarios of the educational web forum , 2016, 2016 XIth International Scientific and Technical Conference Computer Sciences and Information Technologies (CSIT).

[18]  Adelina Faradian,et al.  Designing a Decision Making Support Information System for the Operational Control of Industrial Technological Processes , 2015 .

[19]  Miriam J. Metzger Making sense of credibility on the Web: Models for evaluating online information and recommendations for future research , 2007 .

[20]  Li Chen,et al.  The building of cloud computing environment for e-health , 2010, 2010 International Conference on E-Health Networking Digital Ecosystems and Technologies (EDT).

[21]  Sergii Babichev,et al.  An Effectiveness Evaluation of Information Technology of Gene Expression Profiles Processing for Gene Networks Reconstruction , 2018, International Journal of Intelligent Systems and Applications.