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A Collaborative Platform for Management of Chronic Diseases via Guideline-Driven Individualized Care Plans.
Laleci Erturkmen, Gokce B; Yuksel, Mustafa; Sarigul, Bunyamin; Arvanitis, Theodoros N; Lindman, Pontus; Chen, Rong; Zhao, Lei; Sadou, Eric; Bouaud, Jacques; Traore, Lamine; Teoman, Alper; Lim Choi Keung, Sarah N; Despotou, George; de Manuel, Esteban; Verdoy, Dolores; de Blas, Antonio; Gonzalez, Nicolas; Lilja, Mikael; von Tottleben, Malte; Beach, Marie; Marguerie, Christopher; Klein, Gunnar O; Kalra, Dipak.
Afiliação
  • Laleci Erturkmen GB; SRDC Software Research Development and Consultancy Corp, Ankara, Turkey.
  • Yuksel M; SRDC Software Research Development and Consultancy Corp, Ankara, Turkey.
  • Sarigul B; SRDC Software Research Development and Consultancy Corp, Ankara, Turkey.
  • Arvanitis TN; Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.
  • Lindman P; Medixine, Finland.
  • Chen R; Cambio Healthcare Systems, Sweden.
  • Zhao L; Health Informatics Center, Karolinska Institutet, Sweden.
  • Sadou E; Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.
  • Bouaud J; Inserm, Sorbonne Université, Univ Paris 13, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e-Santé, LIMICS, F-75011 Paris, France.
  • Traore L; AP-HP, Delegation for Clinical Research and Innovation, Paris, France.
  • Teoman A; Inserm, Sorbonne Université, Univ Paris 13, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e-Santé, LIMICS, F-75011 Paris, France.
  • Lim Choi Keung SN; Inserm, Sorbonne Université, Univ Paris 13, Laboratoire d'Informatique Médicale et d'Ingénierie des Connaissances pour la e-Santé, LIMICS, F-75011 Paris, France.
  • Despotou G; SRDC Software Research Development and Consultancy Corp, Ankara, Turkey.
  • de Manuel E; Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.
  • Verdoy D; Institute of Digital Healthcare, WMG, University of Warwick, Coventry, UK.
  • de Blas A; Kronikgune, Research Center in Chronicity, Spain.
  • Gonzalez N; Kronikgune, Research Center in Chronicity, Spain.
  • Lilja M; Osakidetza, Spain.
  • von Tottleben M; Osakidetza, Spain.
  • Beach M; Department of Public Health and Clinical Medicine, Unit of Research, Education, and Development, Östersund Hospital, Umeå University, Umeå, Sweden.
  • Marguerie C; empirica Gesellschaft fÜr Kommunikations- und Technologieforschung mbH, Bonn, Germany.
  • Klein GO; South Warwickshire NHS Foundation Trust, UK.
  • Kalra D; South Warwickshire NHS Foundation Trust, UK.
Comput Struct Biotechnol J ; 17: 869-885, 2019.
Article em En | MEDLINE | ID: mdl-31333814
Older age is associated with an increased accumulation of multiple chronic conditions. The clinical management of patients suffering from multiple chronic conditions is very complex, disconnected and time-consuming with the traditional care settings. Integrated care is a means to address the growing demand for improved patient experience and health outcomes of multimorbid and long-term care patients. Care planning is a prevalent approach of integrated care, where the aim is to deliver more personalized and targeted care creating shared care plans by clearly articulating the role of each provider and patient in the care process. In this paper, we present a method and corresponding implementation of a semi-automatic care plan management tool, integrated with clinical decision support services which can seamlessly access and assess the electronic health records (EHRs) of the patient in comparison with evidence based clinical guidelines to suggest personalized recommendations for goals and interventions to be added to the individualized care plans. We also report the results of usability studies carried out in four pilot sites by patients and clinicians.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Turquia

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Guideline / Prognostic_studies Idioma: En Revista: Comput Struct Biotechnol J Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Turquia