The Digital Intern®’s algorithms provide a consistent approach to treating patients, while simultaneously learning the needs of the individual so that each patient gets what they need. The result is reproducible decision making based on the individual patient’s physiology backed by medical literature.
The Digital Intern® suggests the appropriate dose and frequency (or infusion rate) from a list of medications on formulary to treat the patient’s individual needs. In doing so, the nurse isn’t choosing from a palette of possible medication options but rather is using what is recommended or rejecting the recommendation and contacting the provider for further assistance. In this manner, concerns over therapeutic duplication are eliminated.
Watch Digital Intern® founder Dr. Medow describe how the Digital Intern® helps solve therapeutic duplication issues:
The Digital Intern® is:
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