Vocantas - Gold Sponsor
Presentation:
Did you miss Gary Hannah's presentation on Wednesday at 11:15? Email Keri Fraser for a copy of the presentation. Click here for Keri's email
Vocantas made three announcements at the event:
Jan 25 2012 PatientWay and Vocantas Partner to Bring Hospitals Ultimate Patient Connection Solution
Follow Up:
We are looking forward to following up with many attendees from this event. Let us know if you'd like to book a meeting with Gary Hannah or Keri Fraser at info@vocantas.com
Article:
Chronic pain is a medical condition that severely decreases the quality of life for those who struggle to cope with it. Interactive voice response (IVR) technology has the ability to track symptoms and disease progression, to investigate the relationships between symptom patterns and clinical outcomes, to assess the efficacy of ongoing treatments, and to directly serve as an
adjunct to therapeutic treatment for chronic pain. While many approaches exist toward the management of chronic pain, all have their pitfalls and none work universally. Cognitive behavioral therapy (CBT) is one approach that has been shown to be fairly effective, and therapeutic interactive voice response technology provides a convenient and easy-to-use means of extending
the therapeutic gains of CBT long after patients have discontinued clinical visitations. This review summarizes the advantages and disadvantages of IVR technology, provides evidence for the efficacy of the method in monitoring and managing chronic pain, and addresses potential future directions that the technology may take as a therapeutic intervention in its own right.
- Authors
- Gregory Lieberman, Department of Psychiatry, Clinical Neuroscience Research Unit, University of Vermont College of Medicine, 1 South Prospect Street, UHC, Burlington, VT 05401, USA
- Magdalena R Naylor, Department of Psychiatry, Clinical Neuroscience Research Unit, University of Vermont College of Medicine, 1 South Prospect Street, UHC, Burlington, VT 05401, USA
- Journal Translational Behavioral Medicine
- Online ISSN 1613-9860
- Print ISSN 1869-6716


