Abstract
More than any other field of healthcare, mental health is in dire need of efficient models for integrating the people, paradigms, and technologies required to acquire and apply new knowledge. In this chapter, we introduce the need for precision mental healthcare. We address the critical role of health information technology (HIT) and the application of informatics technologies on the journey towards precision mental healthcare. We describe the Learning Health System (LHS)—a health system in which data generated during the routine delivery of care is used to generate the evidence upon which new knowledge can be built and fed seamlessly back into the system. We describe how the LHS model aligns with, and integrates, the core informatics cycle of knowledge acquisition within and among basic research, clinical research, and real-world clinical practice. Finally, we introduce the idea of a precision healthcare agenda for mental health—what it is, how it relates to the LHS, and how it is made possible by the science of informatics.
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Notes
- 1.
A few words on terminology: “Biomedical healthcare” is a mouthful, “general medicine” usually refers to general health problems, as opposed to those addressed by a specialist, and “physical medicine” is generally associated with rehabilitation and physiatry. For purposes of this textbook, we use the term “physical healthcare” to refer to care provided in the context of physical health and illness, in contrast with care provided in the mental health context.
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Ranallo, P.A., Tenenbaum, J.D. (2021). Precision Medicine and a Learning Health System for Mental Health. In: Tenenbaum, J.D., Ranallo, P.A. (eds) Mental Health Informatics. Health Informatics. Springer, Cham. https://doi.org/10.1007/978-3-030-70558-9_1
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