The Electronic Patient Chart is designed to give doctors and other medical staff more reliable data regarding the patient’s history.
For a more detailed and organized content, we’ve added information such as allergies, past conditions/diagnosis, drug history, and others in a collapsible panel. It will be more convenient for the user to hide and show details. Moreover, we added counter badges that indicates how much information each panel have.
Our software provides a simpler way of storing and monitoring the most basic patient information that medical practitioners monitor: the vital signs. Each encoded vital sign has a corresponding color that signifies whether the result is normal or abnormal. The software also has a built-in measurement converter with a metric or standard measurement option. In addition, users can easily show and compare results of all taken vitals through a graph. These graphs provide a summary of all the stored and newly recorded data. The graph data features blood pressure, temperature, heart rate and many more.
The e-Prescription feature allows the users to provide prescription with simple steps to follow. First, input the medicine prescription. Then, generate, print, and hand it out to patients with reduced errors. This feature means less work. It is also an easier way to understand prescription.
The Document Management System (DMS), which complements an EHR, enables organizations to keep track of the different versions of each document. Users can easily insert, annotate, and manage documents and images, as well as add or remove tags that are generally used to describe more detailed and indexed search engines.
Securely enables seamless information exchange across medical community. Electronically receive and interchange notes, documents, referrals, and more.
A pediatric note includes a "growth chart" that tracks the developmental growth of children ages one to five years old. It displays the data point on any of the included World Health Organization (WHO) growth charts.
The user must input the child's age, gender, height and weight values, which will automatically be plotted and computed. Users can then view the recorded information on a graphical chart.
Hashtags are incredibly useful on EHR. Links with the ‘#’ symbol before the word helps the users to quickly determine the top trending medical cases and get detailed analytics, which provide additional information.