Case Study
The Future of Medical AI is Here
EDDIE AI can find entities, textual elements referring to medical data such as Health Conditions, Medications, Behavioral/ Environmental/Social conditions, Tests, Treatments, Procedures and Protected Health Information (PHI).
Patient Case Management and Outcome
Doctors and healthcare providers can manage and readily access medical data that doesn’t conform to traditional forms.
Patients can elaborate on their health issues in a detailed narrative beyond standard formats.
Providers, by analyzing these case notes, can identify potential candidates for preemptive screening of health conditions before they get worse and costlier to treat.
Medical Billing and Healthcare Revenue Cycle Management
Payors can broaden their analytics to include unorganized documents like clinical notes.
Additional information about a diagnosis can be analyzed and used to aid in determining appropriate billing codes from unorganized documents. NLP is a crucial aspect of computer-assisted coding (CAC). EDDIE AI utilizes the latest developments in NLP to analyze clinical texts, aiming to reduce the revenue realization time and enhance reimbursement precision.
Clinical Research
Life science organizations and research institutes can enhance the patient recruitment process for clinical trials. By using EDDIE AI to unearth relevant data from clinical texts, researchers can bolster pharmacovigilance, conduct post-market monitoring for adverse drug events, and evaluate therapeutic effectiveness by swiftly finding crucial information in follow-up notes and other clinical documents.