Literature DB >> 19885276

Definition of information technology architectures for continuous data management and medical device integration in diabetes.

M Elena Hernando1, Mario Pascual, Carlos H Salvador, Gema García-Sáez, Agustín Rodríguez-Herrero, Iñaki Martínez-Sarriegui, Enrique J Gómez.   

Abstract

The growing availability of continuous data from medical devices in diabetes management makes it crucial to define novel information technology architectures for efficient data storage, data transmission, and data visualization. The new paradigm of care demands the sharing of information in interoperable systems as the only way to support patient care in a continuum of care scenario. The technological platforms should support all the services required by the actors involved in the care process, located in different scenarios and managing diverse information for different purposes. This article presents basic criteria for defining flexible and adaptive architectures that are capable of interoperating with external systems, and integrating medical devices and decision support tools to extract all the relevant knowledge to support diabetes care.

Entities:  

Keywords:  continuous data management; device interoperability; diabetes; software architecture

Year:  2008        PMID: 19885276      PMCID: PMC2769800          DOI: 10.1177/193229680800200523

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  22 in total

Review 1.  Analysis: transfer of the data collected by the patient to the health care providers: problems and solutions.

Authors:  Jan Maria Wojcicki
Journal:  Diabetes Technol Ther       Date:  2005-04       Impact factor: 6.118

2.  Internet diabetic patient management using a short messaging service automatically produced by a knowledge matrix system.

Authors:  Chulsik Kim; Haijin Kim; Jisun Nam; Minho Cho; Jongsuk Park; Eunseok Kang; Chulwoo Ahn; Bongsoo Cha; Eunjig Lee; Sungkil Lim; Kyungrae Kim; Hyunchul Lee
Journal:  Diabetes Care       Date:  2007-08-06       Impact factor: 19.112

Review 3.  Continuity of care and quality care outcomes for people experiencing chronic conditions: A literature review.

Authors:  Gwen van Servellen; Marie Fongwa; Ellen Mockus D'Errico
Journal:  Nurs Health Sci       Date:  2006-09       Impact factor: 1.857

Review 4.  A systematic review of telemedicine interventions to support blood glucose self-monitoring in diabetes.

Authors:  A Farmer; O J Gibson; L Tarassenko; A Neil
Journal:  Diabet Med       Date:  2005-10       Impact factor: 4.359

5.  "J"-index. A new proposition of the assessment of current glucose control in diabetic patients.

Authors:  J M Wójcicki
Journal:  Horm Metab Res       Date:  1995-01       Impact factor: 2.936

Review 6.  An artificial intelligence system for computer-assisted menu planning.

Authors:  G J Petot; C Marling; L Sterling
Journal:  J Am Diet Assoc       Date:  1998-09

7.  A randomized controlled trial of the effect of real-time telemedicine support on glycemic control in young adults with type 1 diabetes (ISRCTN 46889446).

Authors:  Andrew J Farmer; Oliver J Gibson; Christina Dudley; Kathryn Bryden; Paul M Hayton; Lionel Tarassenko; Andrew Neil
Journal:  Diabetes Care       Date:  2005-11       Impact factor: 19.112

8.  Long-term effect of the Internet-based glucose monitoring system on HbA1c reduction and glucose stability: a 30-month follow-up study for diabetes management with a ubiquitous medical care system.

Authors:  Jae-Hyoung Cho; Sang-Ah Chang; Hyuk-Sang Kwon; Yoon-Hee Choi; Seung-Hyun Ko; Sung-Dae Moon; Soon-Jib Yoo; Ki-Ho Song; Hyun-Shik Son; Hee-Seung Kim; Won-Chul Lee; Bong-Yun Cha; Ho-Young Son; Kun-Ho Yoon
Journal:  Diabetes Care       Date:  2006-12       Impact factor: 19.112

9.  Quantifying temporal glucose variability in diabetes via continuous glucose monitoring: mathematical methods and clinical application.

Authors:  Boris P Kovatchev; William L Clarke; Marc Breton; Kenneth Brayman; Anthony McCall
Journal:  Diabetes Technol Ther       Date:  2005-12       Impact factor: 6.118

10.  Real-time continuous glucose monitoring together with telemedical assistance improves glycemic control and glucose stability in pump-treated patients.

Authors:  Mercedes Rigla; M Elena Hernando; Enrique J Gómez; Eulalia Brugués; Gema García-Sáez; Ismael Capel; Belén Pons; Alberto de Leiva
Journal:  Diabetes Technol Ther       Date:  2008-06       Impact factor: 6.118

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  4 in total

Review 1.  Utilizing information technologies for lifelong monitoring in diabetes patients.

Authors:  Davide Capozzi; Giordano Lanzola
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

2.  Automatic data processing to achieve a safe telemedical artificial pancreas.

Authors:  M Elena Hernando; Gema García-Sáez; Iñaki Martínez-Sarriegui; Agustín Rodríguez-Herrero; Carmen Pérez-Gandía; Mercedes Rigla; Alberto de Leiva; Ismael Capel; Belén Pons; Enrique J Gómez
Journal:  J Diabetes Sci Technol       Date:  2009-09-01

3.  How continuous monitoring changes the interaction of patients with a mobile telemedicine system.

Authors:  Iñaki Martínez-Sarriegui; Gema García-Sáez; Mercedes Rigla; Eulalia Brugués; Alberto de Leiva; Enrique J Gómez; Elena M Hernando
Journal:  J Diabetes Sci Technol       Date:  2011-01-01

Review 4.  Remote Blood Glucose Monitoring in mHealth Scenarios: A Review.

Authors:  Giordano Lanzola; Eleonora Losiouk; Simone Del Favero; Andrea Facchinetti; Alfonso Galderisi; Silvana Quaglini; Lalo Magni; Claudio Cobelli
Journal:  Sensors (Basel)       Date:  2016-11-24       Impact factor: 3.576

  4 in total

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