Literature DB >> 23759392

Integration of a mobile-integrated therapy with electronic health records: lessons learned.

Malinda M Peeples1, Anand K Iyer, Joshua L Cohen.   

Abstract

BACKGROUND: Responses to the chronic disease epidemic have predominantly been standardized in their approach to date. Barriers to better health outcomes remain, and effective management requires patient-specific data and disease state knowledge be presented in methods that foster clinical decision-making and patient self-management. Mobile technology provides a new platform for data collection and patient-provider communication. The mobile device represents a personalized platform that is available to the patient on a 24/7 basis. Mobile-integrated therapy (MIT) is the convergence of mobile technology, clinical and behavioral science, and scientifically validated clinical outcomes. In this article, we highlight the lessons learned from functional integration of a Food and Drug Administration-cleared type 2 diabetes MIT into the electronic health record (EHR) of a multiphysician practice within a large, urban, academic medical center.
METHODS: In-depth interviews were conducted with integration stakeholder groups: mobile and EHR software and information technology teams, clinical end users, project managers, and business analysts. Interviews were summarized and categorized into lessons learned using the Architecture for Integrated Mobility® framework.
RESULTS: Findings from the diverse stakeholder group of a MIT-EHR integration project indicate that user workflow, software system persistence, environment configuration, device connectivity and security, organizational processes, and data exchange heuristics are key issues that must be addressed.
CONCLUSIONS: Mobile-integrated therapy that integrates patient self-management data with medical record data provides the opportunity to understand the potential benefits of bidirectional data sharing and reporting that are most valuable in advancing better health and better care in a cost-effective way that is scalable for all chronic diseases.
© 2013 Diabetes Technology Society.

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Year:  2013        PMID: 23759392      PMCID: PMC3869127          DOI: 10.1177/193229681300700304

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


  6 in total

1.  Chronic disease management: what will it take to improve care for chronic illness?

Authors:  E H Wagner
Journal:  Eff Clin Pract       Date:  1998 Aug-Sep

2.  Results of the Medicare Health Support disease-management pilot program.

Authors:  Nancy McCall; Jerry Cromwell
Journal:  N Engl J Med       Date:  2011-11-03       Impact factor: 91.245

Review 3.  Health behavior models in the age of mobile interventions: are our theories up to the task?

Authors:  William T Riley; Daniel E Rivera; Audie A Atienza; Wendy Nilsen; Susannah M Allison; Robin Mermelstein
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

4.  Lessons from a community-based mHealth diabetes self-management program: "it's not just about the cell phone".

Authors:  Richard Katz; Tsega Mesfin; Karen Barr
Journal:  J Health Commun       Date:  2012

5.  WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction.

Authors:  Charlene C Quinn; Suzanne Sysko Clough; James M Minor; Dan Lender; Maria C Okafor; Ann Gruber-Baldini
Journal:  Diabetes Technol Ther       Date:  2008-06       Impact factor: 6.118

6.  Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini
Journal:  Diabetes Care       Date:  2011-07-25       Impact factor: 19.112

  6 in total
  10 in total

1.  Clinical research informatics and electronic health record data.

Authors:  R L Richesson; M M Horvath; S A Rusincovitch
Journal:  Yearb Med Inform       Date:  2014-08-15

Review 2.  A review of physiological and behavioral monitoring with digital sensors for neuropsychiatric illnesses.

Authors:  Erik Reinertsen; Gari D Clifford
Journal:  Physiol Meas       Date:  2018-05-15       Impact factor: 2.833

3.  Patient generated health data use in clinical practice: A systematic review.

Authors:  George Demiris; Sarah J Iribarren; Katherine Sward; Solim Lee; Rumei Yang
Journal:  Nurs Outlook       Date:  2019-04-26       Impact factor: 3.250

4.  Device connectivity: the next big wave in diabetes.

Authors:  John Walsh; Ruth Roberts; Richard Morris; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2015-01-21

5.  Feasibility and usability of a mobile health tool on anticoagulation management for patients with atrial fibrillation: a pilot study.

Authors:  Chi Zhang; Mang-Mang Pan; Na Wang; Wei-Wei Wang; Zheng Li; Zhi-Chun Gu; Hou-Wen Lin
Journal:  Eur J Clin Pharmacol       Date:  2021-10-20       Impact factor: 2.953

6.  Why primary care practices should become digital health information hubs for their patients.

Authors:  Aaron Baird; Samantha Nowak
Journal:  BMC Fam Pract       Date:  2014-11-25       Impact factor: 2.497

7.  Integrating Patient-Generated Health Data Into Clinical Care Settings or Clinical Decision-Making: Lessons Learned From Project HealthDesign.

Authors:  Deborah J Cohen; Sara R Keller; Gillian R Hayes; David A Dorr; Joan S Ash; Dean F Sittig
Journal:  JMIR Hum Factors       Date:  2016-10-19

8.  Clinical and Neurobiological Perspectives of Empowering Pediatric Cancer Patients Using Videogames.

Authors:  Meveshni Govender; Randy C Bowen; Massiell L German; Grzegorz Bulaj; Carol S Bruggers
Journal:  Games Health J       Date:  2015-06-26

Review 9.  What incentives increase data sharing in health and medical research? A systematic review.

Authors:  Anisa Rowhani-Farid; Michelle Allen; Adrian G Barnett
Journal:  Res Integr Peer Rev       Date:  2017-05-05

10.  Understanding the Feasibility, Acceptability, and Efficacy of a Clinical Pharmacist-led Mobile Approach (BPTrack) to Hypertension Management: Mixed Methods Pilot Study.

Authors:  Lorraine R Buis; Dana N Roberson; Reema Kadri; Nicole G Rockey; Melissa A Plegue; Shivang U Danak; Timothy C Guetterman; Melanie G Johnson; Hae Mi Choe; Caroline R Richardson
Journal:  J Med Internet Res       Date:  2020-08-11       Impact factor: 5.428

  10 in total

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