Literature DB >> 26911810

Integrating patient voices into health information for self-care and patient-clinician partnerships: Veterans Affairs design recommendations for patient-generated data applications.

Susan S Woods1, Neil C Evans2, Kathleen L Frisbee2.   

Abstract

Electronic health record content is created by clinicians and is driven largely by intermittent and brief encounters with patients. Collecting data directly from patients in the form of patient-generated data (PGD) provides an unprecedented opportunity to capture personal, contextual patient information that can supplement clinical data and enhance patients' self-care. The US Department of Veterans Affairs (VA) is striving to implement the enterprise-wide capability to collect and use PGD in order to partner with patients in their care, improve the patient healthcare experience, and promote shared decision making. Through knowledge gained from Veterans' and healthcare teams' perspectives, VA created a taxonomy and an evolving framework on which to design and develop applications that capture and help physicians utilize PGD. Ten recommendations for effectively collecting and integrating PGD into patient care are discussed, addressing health system culture, data value, architecture, policy, data standards, clinical workflow, data visualization, and analytics and population reach. Published by Oxford University Press on behalf of the American Medical Informatics Association 2016. This work is written by US Government employees and is in the public domain in the US.

Entities:  

Keywords:  Patient-generated data; activities of daily living; consumer participation; electronic data capture; mobile phone app; patient-relevant outcome; patient-reported outcome; personal health record; physician-patient relationship; self-care

Mesh:

Year:  2016        PMID: 26911810     DOI: 10.1093/jamia/ocv199

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  33 in total

Review 1.  Physician preparedness for big genomic data: a review of genomic medicine education initiatives in the United States.

Authors:  Caryn Kseniya Rubanovich; Cynthia Cheung; Jess Mandel; Cinnamon S Bloss
Journal:  Hum Mol Genet       Date:  2018-08-01       Impact factor: 6.150

2.  Visualization of Cardiac Implantable Electronic Device Data for Older Adults Using Participatory Design.

Authors:  Ryan Ahmed; Tammy Toscos; Romisa Rohani Ghahari; Richard J Holden; Elizabeth Martin; Shauna Wagner; Carly Daley; Amanda Coupe; Michael Mirro
Journal:  Appl Clin Inform       Date:  2019-09-18       Impact factor: 2.342

3.  Implementation of Symptom Questionnaires Into Oncology Workflow.

Authors:  Angela M Stover; Ethan M Basch
Journal:  J Oncol Pract       Date:  2016-10       Impact factor: 3.840

4.  Clinical Informatics Researcher's Desiderata for the Data Content of the Next Generation Electronic Health Record.

Authors:  Timothy I Kennell; James H Willig; James J Cimino
Journal:  Appl Clin Inform       Date:  2017-12-21       Impact factor: 2.342

5.  A Systematic Review of Patient-Facing Visualizations of Personal Health Data.

Authors:  Meghan Reading Turchioe; Annie Myers; Samuel Isaac; Dawon Baik; Lisa V Grossman; Jessica S Ancker; Ruth Masterson Creber
Journal:  Appl Clin Inform       Date:  2019-10-09       Impact factor: 2.342

6.  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

7.  Designing for engagement with self-monitoring: A user-centered approach with low-income, Latino adults with Type 2 Diabetes.

Authors:  Meghan Reading Turchioe; Elizabeth M Heitkemper; Maichou Lor; Marissa Burgermaster; Lena Mamykina
Journal:  Int J Med Inform       Date:  2019-08-02       Impact factor: 4.046

8.  Patient-centered care and the electronic health record: exploring functionality and gaps.

Authors:  Jorie M Butler; Bryan Gibson; Lacey Lewis; Gayle Reiber; Heidi Kramer; Rand Rupper; Jennifer Herout; Brenna Long; David Massaro; Jonathan Nebeker
Journal:  JAMIA Open       Date:  2020-10-29

9.  Systematic review of smartphone-based passive sensing for health and wellbeing.

Authors:  Victor P Cornet; Richard J Holden
Journal:  J Biomed Inform       Date:  2017-12-14       Impact factor: 6.317

10.  Factors Influencing Sustained Engagement with ECG Self-Monitoring: Perspectives from Patients and Health Care Providers.

Authors:  Meghan Reading; Dawon Baik; Melissa Beauchemin; Kathleen T Hickey; Jacqueline A Merrill
Journal:  Appl Clin Inform       Date:  2018-10-10       Impact factor: 2.342

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.