System and methods for neurologic monitoring and improving classification and treatment of neurologic states

#The present disclosure pertains to devices and methods for monitoring and evaluating patients, and more specifically, to monitoring and evaluating neurologic conditions.

#There are many medical and surgical situations that require prompt and accurate diagnosis or triage to ensure optimum outcomes. However, it is often difficult to get a patient to a hospital or other site that has the most up-to-date diagnostic resources, and/or has staff available for accurate and rapid patient assessment. Further, as new medical information is generated through the experience of health care professionals at different locations, there can be significant time lags before such information is disseminated to other professionals or incorporated into technology that helps implement diagnosis or therapy. In addition, improved systems for documenting the neurologic condition of a patient over time and using the documented information to guide patient evaluation and treatment are needed.

#It is accordingly an object of the systems and methods of the present disclosure to provide tools for assessing patients and updating databases using data collected at various locations to improve diagnostic accuracy and specificity.

#FIG. 1 illustrates a system for evaluating a neurologic state of a patient, according to certain embodiments of the present disclosure.

#FIG. 2 illustrates a method for evaluating a neurologic state of a patient and updating a database for neurologic assessment, according to certain embodiments of the present disclosure.

#FIG. 3 illustrates a method for evaluating a neurologic state of a patient and providing a treatment recommendation based on the evaluation, according to certain embodiments of the present disclosure.

#The present disclosure provides systems and methods for evaluating brain electrical activity and providing an assessment of a patient's neurological state based on the evaluation of the patient's brain electrical activity. In some embodiments, the assessment can be based on information contained in a database including numerous brain electrical activity data sets, including, for example, features related to normal brain state and/or a variety of different diseases, pathologies or injury states. In some embodiments, the systems and methods of the present disclosure provide tools for assessing a patient's neurological state based on a database containing brain electrical activity data for numerous patients, as well as methods and systems for verifying the assessment, updating the database to expand the data included therein, and/or improving the range of diseases or conditions that may be identified, and/or improving diagnostic sensitivity and/or specificity using the database.

#In some embodiments, the systems and methods provide a self-updating database to automatically correlate, over time, brain electrical activity recordings with other non-electrical diagnostic information to allow automatic development of diagnostic and treatment algorithms. As described further below, the systems and methods can include a sensor and processor at a first location to collect data related to a patient's brain electrical activity. The data can be transferred to a centralized database, which may be at a different location than the data collection site. The centralized database can be updated with data at multiple time points and/or from multiple patients to allow automatic generation of diagnostic and treatment algorithms. In addition, the data can be stored in a second database, which includes longitudinal data from a specific patient, thereby allowing continuous monitoring of that patient's neurological status and/or providing ongoing treatment guidance.

#The systems and methods can also facilitate treatment planning and decision-making. In some embodiments, the systems and methods provide a database of treatments administered to patients along with the effects of the treatments on electrical activity and/or other assessments of neurological status. Evaluation of the effects of treatments on patients with various brain electrical activity data classifications allows identification of improved or new treatment modalities. In some embodiments, the systems and methods provide a treatment suggestion system for patients whose symptoms, brain electrical activity, and/or other neurological assessments most closely approximate those of other patients previously stored in the database. The systems may further make a prediction for which treatment course would be best suited for a particular diagnostic assessment, including, for example, treatment types to avoid as prior database information shows lack of efficacy or deterioration in patient state due to the treatment.