EHR Software - Electronic Health Record
BariAnalytics Electronic Health Record or the EHR application is capable of storing patient heath records with special feature for bariatrics patient. BariAnalytics EMR is a SaaS-based solution, providing access anywhere, at any time. It not only stores patient data electronically but also facilitates improving the provider/patient relationship.
It store following patient data:
Patient Demographics:
EHR system stores Patient address, city, contact details, emergency contact details, employer information, spouse information and dependents information.
Patient Insurance:
EHR software stores patient insurance details, guarantor details, payment information and precertification & authorization information. It also allows storing scanned copy of insurance card.
Patient Allergies:
EHR stores patient medical history as well as allergies with any other food.
Patient History:
EHR system stores medical, surgical, hospitalization, social, weight, diet, sleep, family and medical history for better treatment.
Patient Lab & Test:
EHR allows uploading of scanned lab & test result as well as user can feed in data for better analysis. It also provides integration with leading Lab.
Patient Performance Chart:
EHR stores patient vital physical examination, provider assessment notes.
Performance Reports Handouts:
EHR provides a capability of populating the patient performance handout by a single click.
Why BariAnalytics?
Reduction in duplication of services
Duplication of lab tests, diagnostic imaging, work-ups, and other services can be prevented by superior record-keeping of any type. However, because electronic records can be available at many locations at once, integration of services and awareness of duplication is facilitated.
Improves Patient Care
BariAnalytics is web-based interface, allowing connecting with patient details anytime, anywhere and helping you to improve patient care.
Facilitation of clinical trials
Clinicians and researchers suggest benefits to integrating electronic health records with data collection and analysis in clinical trials. Potential clinical trial participants may be more easily identified, administrative overhead costs may be lessened, data errors may be reduced, and adverse outcomes may more rapidly identified.
|
