Portal Exam Kits for home and clinics
With the state-of-art portable exam kits available, remote healthcare or remote patient monitoring can be finally achieved with great outcome.
Powerful Exam Capabilities
The portable hardware and AI-driven software for examining the heart, lungs, throat, skin, ears, and body temperature, and can be used for diagnosing acute conditions such as cold, flu, ear infections, bronchitis, and sore throats, and for monitoring and managing patients with chronic conditions such as high blood pressure, asthma, COPD, congestive heart failure (CHF), and diabetes.
Through the telehealth platform, the portable exam kit will enable the most common primary care & chronic conditions:
- Upper respiratory infection
- Whooping Cough
- Eczema & rashes
- Sinus infections
- Sore throat
See Your Doctor at Home
The exam The full-stack telehealth system also enables real time video communication between the patient and the doctor/clinician.
During a video visit, the portable exam kit connects to patient’s provider allowing him/her to capture high-quality sounds from patient’s heart and lungs and share readings of patient’s heart rate and body temperature or create images and videos that show patient’s inner ears, throat and skin. The medical provider then uses this information to make a diagnosis and offer a treatment plan and prescription, if needed.
Point of Care
One of the professional solutions is “The Mobile Platform for Clinical-quality Exams at Point-of-Care.” As healthcare providers look to extend their reach beyond the clinic, they need to provide their mobile nurses, home-care specialists or clients in the corporate or educational sectors with onlocation services – for both taking vital measurements, as well as transmitting them to a consultant or specialist, when needed. These capabilities leads to cost-saving, time-saving, point-of-care medical exams, at a level of quality that often exceeds standard diagnostic equipment.
Personal Health Analytics
Based on clinical exam & baseline data, by identifying deviations from normal exams, alerts will be triggered. This is called Evidence-based decision support.
Community Health Analytics
Big data is classified according to gender, age, location, etc. Through deep learning algorithms, trends & abnormalities is identified.
Automated Diagnosis based on AI/ML
Deep learning algorithms for self-screening is based on long-term matching of clinical findings with predicted diagnosis.