Systems and Methods for Diagnosis and Treatment of Psychiatric Disorders

A device for diagnosing and treating psychiatric disorders is described. The device may be configured to provide a graphical user interface that enables a user to select at least one of: entering information related to a diagnosis of the psychiatric disorder and alleviating symptoms caused by the psychiatric disorder. Upon a user selecting entering information related to the diagnosis of a psychiatric disorder, the device may receive information related to the diagnosis of the psychiatric disorder. The device may determine the severity of a user\u27s condition based at least in part on the received information. The device may provide a treatment based on the determined severity of the user\u27s condition. A treatment may include providing feedback to a user

Cannabinoids in the management of frontotemporal dementia: a case series

Background: Frontotemporal dementia (FTD) is characterized by progressive deterioration in behaviors, executive function and/or language. The behavioral variant (Bv) is characterized by disinhibition and obsessive/compulsive behaviors. These symptoms are sometimes resistant to medications. This series examines patients suffering with treatment-resistant Bv-FTD who were prescribed cannabinoid and related compounds for other indications. Case presentation: Three FTD cases from a dementia clinic were identified. These patients had disability due to behavior despite typical pharmacologic management. These patients were prescribed marijuana for comorbidities (anxiety, insomnia and pain). In all cases, use of cannabinoid products showed significant improvements in behavior and in the primary indication for prescription. Conclusion: Review of these cases demonstrates potential for the use of cannabinoids in the management of treatment-resistant Bv-FTD. </jats:p

Depression? : There is an app for that

"MoodTrek is designed to minimize the impact of the recency effect on the diagnosis and treatment of depression. Composed of two parts, MoodTrek is a patient-facing app and a provider-facing view within the Electronic Medical Record (EMR.) The app allows patients to track their moods, activity, and sleep, as well as journal about their experience. This information is automatically transferred to the EMR. This provides the care team with all of the benefits of a traditional mood chart plus a richer data set powered by the patient's actual activity. The hypothesized result being a more accurate diagnosis and a richer collaboration between patient and provider thanks to data provided in real time rather than anecdotal information provided after the fact. Available on both iOS (May) and Android, the tool requires no special training, and is available to nearly anyone with a smartphone. When using a Fitbit with the app the patient's activity and sleep information is captured accurately and completely. The average time needed to use the app is less than 6 seconds per day.