Creators of the Digital Intern, an AI software product that is able to distill clinical information in the in-patient setting into clear decisions on the medical management of patients. Out platform is backed by literature and a knowledge base that relates to class of evidence and relates directly to our massive AI decision forests so the the recommendations providers read are indexed to a library that backs the recommendations being made. The Digital Intern will give medication and dose recommendations, make recommendations on fluid type and amount, correct electrolytes, recommend adjustments to every mode and setting of ventilation, suggest adjunctive pulmonary interventions, recommend labs and write approx 80% of provider notes. Furthermore, the Digital Intern filters quality data from data that is poor to better individualize decisions to patients needs. It does so in a predictable manner helping with standardization in approach while tackling physiological problems in a cost e...
Creators of the Digital Intern, an AI software product that is able to distill clinical information in the in-patient setting into clear decisions on the medical management of patients. Out platform is backed by literature and a knowledge base that relates to class of evidence and relates directly to our massive AI decision forests so the the recommendations providers read are indexed to a library that backs the recommendations being made. The Digital Intern will give medication and dose recommendations, make recommendations on fluid type and amount, correct electrolytes, recommend adjustments to every mode and setting of ventilation, suggest adjunctive pulmonary interventions, recommend labs and write approx 80% of provider notes. Furthermore, the Digital Intern filters quality data from data that is poor to better individualize decisions to patients needs. It does so in a predictable manner helping with standardization in approach while tackling physiological problems in a cost effective, value driven manner. Finally the quality data produced by the Digital Intern can then be concatenated over millions of patients and used for additional study with machine learning algorithms to produce practical decisions that can be more easily be understood by clinicians and that are more likely to be pertinent in real-world applications.
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Employees

Joshua Medow MD, MSc, PhD, FAANS, FACS, FNCS, FAHA, FCCM
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Joshua Medow MD, MSc, PhD, FAANS, FACS, FNCS, FAHA, FCCM CTO Founder, designer of the algorithms that interact to form the foundation of the Digital Intern.