Related Experiment Video
Updated: Nov 3, 2025

A Computer-Based Platform for Aiding Clinicians in Eating Disorder Analysis and Diagnosis
Published on: May 10, 2022
Development of a Patient-Centered Software System to Facilitate Effective Management of Bipolar Disorder
Charles L Bowden1, Richard Priesmeyer1, Mauricio Tohen1
1Bowden, M.D., Emeritus Professor, Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Priesmeyer, PhD., Jurica Professor of Management, Department of Management and Marketing, St Mary's University, San Antonio, Texas. Tohen, M.D., Dr.P.H., M.B.A, University Distinguished Professor and Chairman, Department of Psychiatry and Behavioral Sciences, University of New Mexico Health Sciences Center, Albuquerque, New Mexico. Singh, M.D., Deceased. Calabrese, M.D., Director, Mood Disorders Program, UH Cleveland Medical Center Case Western Reserve University School of Medicine, Cleveland, Ohio. Ketter, M.D, Emeritus Professor, Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, California. Nierenberg, M.D., Director, Dauten Family Center for Bipolar Treatment Innovation Massachusetts General Hospital, Harvard Medical School. Thase, M.D., Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania. Gregg Siegel, M.S, Biomedical Development Corporation, San Antonio, Texas. Leslie H. Siegel, M.F.A, Biomedical Development Corporation, San Antonio, Texas. Mintz, PhD., Department of Psychiatry, University of Texas Health Science Center at San Antonio, San Antonio, Texas. Mallakh, M.D., Mood Disorders Research Program, Depression Center, Department of Psychiatry and Behavioral Sciences, University of Louisville School of Medicine, Louisville, Kentucky. McElroy, M.D., Professor of Psychiatry and Behavioral Neuroscience, University of Cincinnati, Cincinnati, Ohio. Martinez, M.D., Professor and Mary Avis Weir Chair in Psychiatry, Director, Adult Mood Disorders Program, Co-Director, Mind, Brain, and Behavior, Department of Psychiatry and Behavioral Sciences University of Texas Health Science Center San Antonio, San Antonio, Texas.
Objective:
Self-management of bipolar disorder (BD) is an important component of treatment.
Methods:
We developed a patient-centered computational software system based on concepts from nonlinear systems (chaos) theory with mobile access to assist in managing BD known as KIOS. KIOS tracks interacting symptoms to determine theprecise state of a BD patient. Once the patient's state is identified and the trajectory of the patient established, specific advice is generated to help manage the course of the disease. KIOS also provides analytics that can be used by clinicians and researchers to track outcomes and the course of illness. A 12-week field test was completed.
Results:
In 20 BD subjects, use of KIOS was associated with improvements in primary symptom categories of BD. Usability and generated advice were rated as a median of 6 out of a maximum of 7.
Conclusions:
The KIOS focus on change illuminates problems in the same way that humans experience them, implying that the future state will be consequent to changes made to impact the current state. Randomized clinical trial is indicated.
Related Concept Videos
Bipolar Disorder
Mania and Antimanic Drugs: Overview
Psychosis: Goals of Pharmacotherapy
Methods of Documentation VI: Case Management Model
For example, a patient with a chronic...
Drug Therapy
Antianxiety Medications
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:

