Ziphycare Inc

Rada Sumareva

Daniel Kogan

Sergei Kuznetsov

Gennady Ukrainsky

Gennady Ukrainksy

A multi-organ imaging system including a camera lens, a stationary, multi-examination illumination unit (SMEIU), and an attachment holder is provided. An industrial camera unit (ICU) for imaging multiple organs, for example, ear, nose, throat, and skin, is housed in a camera body. The camera lens has a fixed focal length and an iris for optimizing examination and imaging of the organs. The SMEIU is integrated to the camera body and includes illuminators arranged in a geometrical configuration. The attachment holder accommodates an organ examination attachment selected for examining an organ. The illuminators, in optical communication with one or more reflective surfaces in the organ examination attachment, produce shadowless illumination during examination and imaging of each organ, without requiring replacement of the SMEIU for examining each organ. A display unit, accommodated in a display holder detachably attached to the camera body, assists in aiming the camera lens and visualizing each organ.

Multi-organ imaging system with a single, integrated multi-examination illumination unit

A system and a computer-implemented method employ an appointment optimization and route planning system (AORPS) for optimizing home-visit appointments and related travel for delivering patient care. The AORPS receives registration and patient data from patients and client input including information about healthcare providers, onsite care coordinators, health plans, appointment types, and success rates from a client. The AORPS collates the patient data and generates an input matrix from the client input and the collated patient data. The AORPS generates a predictive model for appointments, capitation, and return on investment for delivering patient care based on appointment and patient history, feedback, and healthcare data. The AORPS generates an appointment schedule with travel routes dynamically based on optimization factors derived from the client input, the collated patient data, the input matrix, the healthcare data, and the predictive model, incorporating real-time changes in patient data, the client input, the optimization factors, and appointments.

Growing community of inventors

New York, NY, United States of America

Rada Sumareva