This paper is in the following e-collection/theme issue:

Tools, Programs and Algorithms (275) New Methods (964) Visualization in eHealth (61) Methods and New Tools in Mental Health Research (464) Diagnostic Tools in Mental Health (249) Special Issue Computing and Mental Health 2016/17 (Guest Editors: Calvo, Dinakar, Torous, Picard, Christensen) (22)

Published on in Vol 5, No 3 (2017): Jul-Sept

DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy

DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy

DynAMo: A Modular Platform for Monitoring Process, Outcome, and Algorithm-Based Treatment Planning in Psychotherapy

Authors of this article:

Tim Kaiser1 Author Orcid Image ;   Anton Rupert Laireiter1 Author Orcid Image
Article Authors Cited by (15) Tweetations (1) Metrics

Journals

  1. Kaiser T, Schmutzhart L, Laireiter A. Attitudes of Austrian Psychotherapists Towards Process and Outcome Monitoring. Administration and Policy in Mental Health and Mental Health Services Research 2018;45(5):765 View
  2. Kaiser T, Laireiter A. Daily dynamic assessment and modelling of intersession processes in ambulatory psychotherapy: A proof of concept study. Psychotherapy Research 2019;29(8):1062 View
  3. Schuster R, Fichtenbauer I, Sparr V, Berger T, Laireiter A. Feasibility of a blended group treatment (bGT) for major depression: uncontrolled interventional study in a university setting. BMJ Open 2018;8(3):e018412 View
  4. Schuster R, Topooco N, Keller A, Radvogin E, Laireiter A. Advantages and disadvantages of online and blended therapy: Replication and extension of findings on psychotherapists' appraisals. Internet Interventions 2020;21:100326 View
  5. Frumkin M, Piccirillo M, Beck E, Grossman J, Rodebaugh T. Feasibility and utility of idiographic models in the clinic: A pilot study. Psychotherapy Research 2021;31(4):520 View
  6. Calvo R, Dinakar K, Picard R, Christensen H, Torous J. Toward Impactful Collaborations on Computing and Mental Health. Journal of Medical Internet Research 2018;20(2):e49 View
  7. Kaiser T, Laireiter A. Process-symptom-bridges in psychotherapy: an idiographic network approach. Journal for Person-Oriented Research 2018:49 View
  8. Gual-Montolio P, Martínez-Borba V, Bretón-López J, Osma J, Suso-Ribera C. How Are Information and Communication Technologies Supporting Routine Outcome Monitoring and Measurement-Based Care in Psychotherapy? A Systematic Review. International Journal of Environmental Research and Public Health 2020;17(9):3170 View
  9. Stach M, Vogel C, Gablonski T, Andreas S, Probst T, Reichert M, Schickler M, Pryss R. Technical Challenges of a Mobile Application Supporting Intersession Processes in Psychotherapy. Procedia Computer Science 2020;175:261 View
  10. Wolfe C, Pestian T, Gecili E, Su W, Keogh R, Pestian J, Seid M, Diggle P, Ziady A, Clancy J, Grossoehme D, Szczesniak R, Brokamp C. Cystic Fibrosis Point of Personalized Detection (CFPOPD): An Interactive Web Application. JMIR Medical Informatics 2020;8(12):e23530 View
  11. Scholten S, Lischetzke T, Glombiewski J. Integrating theory-based and data-driven methods to case conceptualization: A functional analysis approach with ecological momentary assessment. Psychotherapy Research 2022;32(1):52 View
  12. Kaiser T, Roth M. Using smartphone surveys to personalize interventions: development and piloting of the Bayesian Statistical Individualization Algorithm (BaSICA). F1000Research 2022;11:1030 View
  13. Hofmann V, Glombiewski J, Kininger F, Scholten S. How to personalise cognitive–behavioural therapy for chronic primary pain using network analysis: study protocol for a single-case experimental design with multiple baselines. BMJ Open 2024;14(12):e089319 View

Books/Policy Documents

  1. Golbourn-King L, Kotera Y. Current and Future Trends in Health and Medical Informatics. View