ArticleJournal of medical systems2013
Closing the feedback loop: an interactive voice response system to provide follow-up and feedback in primary care settings.
Article in Journal of medical systems, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 3 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
14 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Health system responsiveness: a systematic evidence mapping review of the global literature.International journal for equity in health · 2021Pooled it
- Resurgence of Measles in Europe: A Systematic Review on Parental Attitudes and Beliefs of Measles Vaccine.Journal of epidemiology and global health · 2020Pooled it
- Telephone follow-up in primary care: can interactive voice response calls work?Studies in health technology and informatics · 2013Pooled it
- Screening for Adverse Drug Events: a Randomized Trial of Automated Calls Coupled with Phone-Based Pharmacist Counseling.Journal of general internal medicine · 2019Trial
- Automated symptom and treatment side effect monitoring for improved quality of life among adults with diabetic peripheral neuropathy in primary care: a pragmatic, cluster, randomized, controlled trial.Diabetic medicine : a journal of the British Diabetic Association · 2019Trial
- Smartphone Application WeChat for Clinical Follow-up of Discharged Patients with Head and Neck Tumors: A Randomized Controlled Trial.Chinese medical journal · 2016Trial
- The E-Coach technology-assisted care transition system: a pragmatic randomized trial.Translational behavioral medicine · 2016Trial
- Nurse-led mobile health symptom management in patients with head and neck cancer undergoing concurrent chemoradiotherapy: a randomized controlled trial.BMC nursing · 2026Article
- Leveraging Clinical Informatics in the Conduct of Clinical Trials.Journal of medical systems · 2015Article
- An anesthesia medication cost scorecard--concepts for individualized feedback.Journal of medical systems · 2015Article
- Operating room metrics score card-creating a prototype for individualized feedback.Journal of medical systems · 2014Article
- Anesthesia report card - a customizable tool for performance improvement.Journal of medical systems · 2014Article
- Exploration of an automated approach for receiving patient feedback after outpatient acute care visits.Journal of general internal medicine · 2014Article
- Use of health information technology to reduce diagnostic errors.BMJ quality & safety · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
In primary care settings, follow-up regarding the outcome of acute outpatient visits is largely absent. We sought to develop an automated interactive voice response system (IVRS) for patient follow-up with feedback to providers capable of interfacing with multiple pre-existing electronic medical records (EMRs). A system was designed to extract data from EMRs, integrate with the IVRS, call patients for follow-up, and provide a feedback report to providers. Challenges during the development process were analyzed and summarized. The components of the technological solution and details of its implementation are reported. Lessons learned include: (1) Modular utilization of system components is often needed to adapt to specific clinic workflow and patient population needs (2) Understanding the local telephony environment greatly impacts development and is critical to success, and (3) Ample time for development of the IVRS questionnaire (mapping all branching paths) and speech recognition tuning (sensitivity, use of barge-in tuning, use of "known voice") is needed. With proper attention to design and development, modular follow-up and feedback systems can be integrated into existing EMR systems providing the benefits of IVRS follow-up to patients and providers across diverse practice settings.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.