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Description
IVFTech.in is a cloud-driven software solution specifically designed for fertility clinics, whether they function independently or as part of a larger network. This platform boasts an extensive array of operational and clinical features aimed at improving both efficiency and the quality of patient care. Among the operational functionalities are patient registration, appointment scheduling, treatment planning, activity coordination, referral management, feedback collection, financial accounting with treatment cost projections, document management, management dashboards, and administrative resources. Clinically, IVFTech.in includes modules for initial consultations and medical histories, follow-up appointments, semen analysis, intrauterine insemination processes, cycle management and stimulation, as well as andrology and embryology oversight, live birth tracking, clinical analytics, and discharge summaries. Moreover, the platform provides optional modules like an RFID electronic witnessing system, which further enhances traceability and reduces the likelihood of errors. By integrating these features, IVFTech.in aims to streamline operations and elevate the standard of care provided to patients.
Description
Seamless integration into the current architecture ensures that image data and documents are readily accessible for all colleagues involved in patient care, regardless of the applications in use. Patients can easily digitize their documents via their smartphones, which are then promptly saved in their electronic medical records. User login is simplified through the use of barcode or RFID technology on shared devices, while direct patient identification is facilitated by barcode scanning. The system incorporates automatic document recognition and perspective correction, along with an intuitive interface for any necessary manual adjustments. Optical Character Recognition (OCR) technology enables the automatic detection of text, making it easier to locate specific passages. Documents can be swiftly classified with the aid of a dynamic hit list, and they are automatically uploaded to the patient record through HL7-MDM messaging. To maximize the versatility of mobile photo documentation, the results are transmitted in mere seconds to the associated image archives and information systems connected to imito, ensuring a streamlined workflow that enhances efficiency in patient care. Additionally, this integration supports a more collaborative environment among healthcare professionals, ultimately leading to improved patient outcomes.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IVFTech.in
Country
United States
Website
ivftech.in/
Vendor Details
Company Name
Imito
Founded
2016
Country
Germany
Website
imito.io/de/imitoscan
Product Features
Medical Practice Management
Claims Management
E-Prescribing
EMR / EHR
HIPAA Compliant
Insurance Eligibility Verification
Inventory Management
Multi-Office
Multi-Physician
Patient Billing
Patient Portal
Patient Records
Patient Registration
Patient Scheduling
Physician Scheduling
Product Features
Document Management
Access Controls
Archiving & Retention
Collaboration Tools
Compliance Tracking
Document Archiving
Document Assembly
Document Capture
Document Conversion
Document Delivery
Document Indexing
Document Retention
Electronic Signature
Email Management
File Recovery
File Type Conversion
Forms Management
Full Text Search
Offline Access
Optical Character Recognition
Print Management
Version Control