Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-22T20:59:39.290Z Has data issue: false hasContentIssue false

100 Hybrid Neuropsychology in practice: Preliminary data and future directions

Published online by Cambridge University Press:  21 December 2023

Shifali Singh*
Affiliation:
McLean Hospital/Harvard Medical School, Boston, MA, USA
Laura Germine
Affiliation:
McLean Hospital/Harvard Medical School, Boston, MA, USA
*
Correspondence: Shifali Singh, PhD Neuropsychologist and Instructor at McLean Hospital/Harvard Medical School [email protected]
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Objective:

The dynamic transitions towards and away from digitizing mental health care services have put immense pressure on neuropsychology to develop a more technologically advanced approach to patient care. Consistent with this, neuropsychologists are faced with an increasing burden to rapidly learn novel techniques of administering digital and/or remote cognitive measures, which may not be sufficiently standardized and/or psychometrically validated.

Participants and Methods:

The Hybrid Neuropsychology model, which aims to provide a framework for the integration of digital tools in neuropsychological assessment, has been incorporated routinely in our clinical practice, and among diverse clinical populations in inpatient and outpatient settings.

Results:

This talk aims to 1) provide a brief background on Hybrid Neuropsychology; 2) discuss preliminary findings from our ongoing studies implementing this approach in clinical populations; and 3) offer key insights gleaned from methodological, analytical, and practical perspectives.

Conclusions:

Future work towards building a more integrative method of data collection and storage based on extant preliminary data will also be discussed.

Type
Poster Session 08: Assessment | Psychometrics | Noncredible Presentations | Forensic
Copyright
Copyright © INS. Published by Cambridge University Press, 2023