Literature DB >> 26262138

Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data.

Daniele Segagni1, Lucia Sacchi2, Arianna Dagliati2, Valentina Tibollo1, Paola Leporati3, Pasqale De Cata3, Luca Chiovato3, Riccardo Bellazzi2.   

Abstract

This work describes an integrated informatics system developed to collect and display clinically relevant data that can inform physicians and researchers about Type 2 Diabetes Mellitus (T2DM) patient clinical pathways and therapy adherence. The software we developed takes data coming from the electronic medical record (EMR) of the IRCCS Fondazione Maugeri (FSM) hospital of Pavia, Italy, and combines the data with administrative, pharmacy drugs (purchased from the local healthcare agency (ASL) of the Pavia area), and open environmental data of the same region. By using different use cases, we explain the importance of gathering and displaying the data types through a single informatics tool: the use of the tool as a calculator of risk factors and indicators to improve current detection of T2DM, a generator of clinical pathways and patients' behaviors from the point of view of the hospital care management, and a decision support tool for follow-up visits. The results of the performed data analysis report how the use of the dashboard displays meaningful clinical decisions in treating complex chronic diseases and might improve health outcomes.

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Year:  2015        PMID: 26262138

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

Review 1.  Secondary Use and Analysis of Big Data Collected for Patient Care.

Authors:  F J Martin-Sanchez; V Aguiar-Pulido; G H Lopez-Campos; N Peek; L Sacchi
Journal:  Yearb Med Inform       Date:  2017-09-11

2.  Leveraging Artificial Intelligence to Improve Chronic Disease Care: Methods and Application to Pharmacotherapy Decision Support for Type-2 Diabetes Mellitus.

Authors:  Shinji Tarumi; Wataru Takeuchi; George Chalkidis; Salvador Rodriguez-Loya; Junichi Kuwata; Michael Flynn; Kyle M Turner; Farrant H Sakaguchi; Charlene Weir; Heidi Kramer; David E Shields; Phillip B Warner; Polina Kukhareva; Hideyuki Ban; Kensaku Kawamoto
Journal:  Methods Inf Med       Date:  2021-05-11       Impact factor: 2.176

3.  Data Visualizations to Support Health Practitioners' Provision of Personalized Care for Patients With Cancer and Multiple Chronic Conditions: User-Centered Design Study.

Authors:  Uba Backonja; Sarah C Haynes; Katherine K Kim
Journal:  JMIR Hum Factors       Date:  2018-10-16
  3 in total

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