The Cambridge Cognitive and Psychiatric Assessment Kit (CamCops)

CamCOPS is a free, open-source client-server system for secure data capture in the domain of psychiatry, psychology, and the clinical neurosciences. The client is a cross-platform C++ application, suitable for mobile and offline (disconnected) use. It allows touchscreen data entry by subjects/patients, researchers/clinicians, or both together. It implements a large and extensible range of tasks, from simple questionnaires to complex animated tasks. The client uses encrypted data storage and sends data via an encrypted network connection to a CamCOPS server. Individual institutional users set up and run their own CamCOPS server, so no data is transferred outside the hosting institution's control. The server, written in Python, provides clinically oriented and research-oriented views of tasks, including the tracking of changes over time. It provides an audit trail, export facilities (such as to an institution's primary electronic health record system), and full structured data access subject to authorization. A single CamCOPS server can support multiple research/clinical groups, each having its own identity policy (e.g., fully identifiable for clinical use; de-identified/pseudonymised for research use). Intellectual property rules regarding third-party tasks vary and CamCOPS has several mechanisms to support compliance, including for tasks that may be permitted to some institutions but not others. CamCOPS supports task scheduling and home testing via a simplified user interface. We describe the software, report local information governance approvals within part of the UK National Health Service, and describe illustrative clinical and research uses

Cognition · Cognitive Assessment System · Cognitive impairment · Open source · Operating system · Psychiatry · World Wide Web · Computer Science · Digital Mental Health Interventions · Maternal Mental Health During Pregnancy and Postpartum · Medicine · Mental Health Research Topics · Psychology

• Measuring psychiatric disorder in the community

  Open Access•Glyn Lewis, Anthony Pelosi et al.•Psychological Medicine•1992

  Incluir item

• A relational model of data for large shared data banks

  Open Access•E F Codd•Communications of the ACM•1970

  Incluir item

• Detection of Postnatal Depression

  Open Access•J L Cox, J M Holden et al.•The British Journal of Psychiatry•1987

  Incluir item

• Research electronic data capture (Redcap)—A metadata-driven methodology and workflow process for providing translational research informatics support

  Open Access•Paul A Harris, Robert Taylor et al.•Journal of Biomedical Informatics•2009

  Incluir item

• Validation and Utility of a Self-report Version of PRIME-MD The PHQ Primary Care Study

  Robert L Spitzer•JAMA•1999

  Incluir item

• Assessing psychiatric disorder with a human interviewer or a computer

  Glyn Lewis•Journal of Epidemiology and…•1994

  Incluir item