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Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health
OBJECTIVES: In this study, we aimed: 1) to conceptualize the theoretical challenges facing health information systems (HIS) to represent patients' decisions about health and medical treatments in everyday life; 2) to suggest approaches for modeling these processes. METHODS: The conceptualizatio...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Schattauer
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388923/ https://www.ncbi.nlm.nih.gov/pubmed/28144682 http://dx.doi.org/10.3414/ME16-05-0001 |
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author | Bernaldo de Quiros, Fernan Gonzalez Dawidowski, Adriana R. Figar, Silvana |
author_facet | Bernaldo de Quiros, Fernan Gonzalez Dawidowski, Adriana R. Figar, Silvana |
author_sort | Bernaldo de Quiros, Fernan Gonzalez |
collection | PubMed |
description | OBJECTIVES: In this study, we aimed: 1) to conceptualize the theoretical challenges facing health information systems (HIS) to represent patients' decisions about health and medical treatments in everyday life; 2) to suggest approaches for modeling these processes. METHODS: The conceptualization of the theoretical and methodological challenges was discussed in 2015 during a series of interdisciplinary meetings attended by health informatics staff, epidemiologists and health professionals working in quality management and primary and secondary prevention of chronic diseases of the Hospital Italiano de Buenos Aires, together with sociologists, anthropologists and e-health stakeholders. RESULTS: HIS are facing the need and challenge to represent social human processes based on constructivist and complexity theories, which are the current frameworks of human sciences for understanding human learning and socio-cultural changes. Computer systems based on these theories can model processes of social construction of concrete and subjective entities and the interrelationships between them. These theories could be implemented, among other ways, through the mapping of health assets, analysis of social impact through community trials and modeling of complexity with system simulation tools. CONCLUSIONS: This analysis suggested the need to complement the traditional linear causal explanations of disease onset (and treatments) that are the bases for models of analysis of HIS with constructivist and complexity frameworks. Both may enlighten the complex interrelationships among patients, health services and the health system. The aim of this strategy is to clarify people's decision making processes to improve the efficiency, quality and equity of the health services and the health system. |
format | Online Article Text |
id | pubmed-5388923 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Schattauer |
record_format | MEDLINE/PubMed |
spelling | pubmed-53889232017-04-12 Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health Bernaldo de Quiros, Fernan Gonzalez Dawidowski, Adriana R. Figar, Silvana Methods Inf Med Orginal Article OBJECTIVES: In this study, we aimed: 1) to conceptualize the theoretical challenges facing health information systems (HIS) to represent patients' decisions about health and medical treatments in everyday life; 2) to suggest approaches for modeling these processes. METHODS: The conceptualization of the theoretical and methodological challenges was discussed in 2015 during a series of interdisciplinary meetings attended by health informatics staff, epidemiologists and health professionals working in quality management and primary and secondary prevention of chronic diseases of the Hospital Italiano de Buenos Aires, together with sociologists, anthropologists and e-health stakeholders. RESULTS: HIS are facing the need and challenge to represent social human processes based on constructivist and complexity theories, which are the current frameworks of human sciences for understanding human learning and socio-cultural changes. Computer systems based on these theories can model processes of social construction of concrete and subjective entities and the interrelationships between them. These theories could be implemented, among other ways, through the mapping of health assets, analysis of social impact through community trials and modeling of complexity with system simulation tools. CONCLUSIONS: This analysis suggested the need to complement the traditional linear causal explanations of disease onset (and treatments) that are the bases for models of analysis of HIS with constructivist and complexity frameworks. Both may enlighten the complex interrelationships among patients, health services and the health system. The aim of this strategy is to clarify people's decision making processes to improve the efficiency, quality and equity of the health services and the health system. Schattauer 2017-02-01 /pmc/articles/PMC5388923/ /pubmed/28144682 http://dx.doi.org/10.3414/ME16-05-0001 Text en © Copyright Schattauer 2017 https://creativecommons.org/licenses/by-nc-nd/4.0/ License terms: CC-BY-NC-ND (https://creativecommons.org/licenses/by-nc-nd/4.0/) |
spellingShingle | Orginal Article Bernaldo de Quiros, Fernan Gonzalez Dawidowski, Adriana R. Figar, Silvana Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health |
title | Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health |
title_full | Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health |
title_fullStr | Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health |
title_full_unstemmed | Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health |
title_short | Representation of People‘s Decisions in Health Information Systems(*): A Complementary Approach for Understanding Health Care Systems and Population Health |
title_sort | representation of people‘s decisions in health information systems(*): a complementary approach for understanding health care systems and population health |
topic | Orginal Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5388923/ https://www.ncbi.nlm.nih.gov/pubmed/28144682 http://dx.doi.org/10.3414/ME16-05-0001 |
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