We believe that the analytical and reporting capabilities that we are building into Ultimate Data Watch will integrate successfully across the spectrum of medical applications being developed in this field. At the same time, our due diligence in the field shows us that our development paths do not replicate any other efforts and that the Ultimate Data Watch will be able to make a unique contribution to the field of remote addiction/alcoholism monitoring with the goal of improved outcomes, reduced costs, and more productive clinician/patient interaction.
Ultimate Data Watch is centered in the leading edge of the emerging field of remote mobile technologies for monitoring and intervening in acute events arising from alcoholism and/or legal medication/illegal drug addiction. As noted in a very recent review:
“These new tools have the potential to dramatically increase access while maintaining high levels of treatment fidelity. Technology-based methods also allow arranging group contingencies that harness online communities, and they permit targeting multiple health-risk behaviors with a combination of sensor-based technologies. Overall, there are unprecedented opportunities to link technology with contingency management to promote drug abstinence.”
Technologies for Opioid Use Disorder Management:
Mobile App Search and Scoping Review June 5, 2020
Drug & Alcohol Dependency, Apr 1, 2020
Wearable sensor-based detection of stress and craving in patients during treatment for substance use disorder: A mixed methods pilot study
https://pubmed.ncbi.nlm.nih.gov/32193048/
Journal of Mental Health June 2020
Technologies for Opioid Use Disorder Management: Mobile App Search and Scoping Review
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7305558/
Perspectives In Behavioral Science 2019 Sep; 42(3): 445–464.
Technology-Based Contingency Management in the Treatment of Substance-Use Disorders
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6768925/
Frontiers In Psychiatry, 2018
(from) e-Addictology: An Overview of New Technologies for Assessing and Intervening in Addictive Behaviors https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5837980/
Wearable Devices and Digital Phenotyping, Alcohol Research, 2014
Tracking the When, Where, and With Whom of Alcohol Use: Integrating Ecological Momentary Assessment and Geospatial Data to Examine Risk for Alcohol-Related Problems
https://pubmed.ncbi.nlm.nih.gov/26258998/
Journal of Medical Toxicology, 2016
Wearable Biosensors to Detect Physiologic Change During Opioid Use
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4996791/
Journal of Medical Toxicology, 2016
https://pubmed.ncbi.nlm.nih.gov/25330747/
Real-time mobile detection of drug use with wearable biosensors: a pilot study Encephale October 2017
Assessment of mood disorders by passive data gathering: The concept of digital phenotype versus psychiatrist’s professional culture