Slow systems
Clunky data retrieval processes slow down referrals, billing, and appointments.
Compliance hurdles
Building FHIR, HIPAA, and GDPR-compliant products can be tricky and you can’t afford any gaps in compliance.
Slow scaling
Hospitals find it hard to expand services or adapt to new healthcare demands.
Low patient engagement
Outdated portals make it hard for patients to access their healthcare information and actively participate in their care.
Poor patient experience
Patients have to deal with appointment delays, lack of communication between departments, and difficulties processing insurance claims.
Lower standard of care
Slow data exchange between different healthcare providers and institutes make it harder to reach accurate diagnoses and deliver care.
Personal health records
Aggregate and give patients access to their health data from multiple sources for better coordination and decision-making.
Public health surveillance
Standardise public health data exchange and make it easier to report relevant data to public health authorities. Allow quick interventions and better population health management.
Clinical decision support
Structure patient data by integrating clinical decision support systems with EHRs. Enhance patient safety and help healthcare providers make better decisions.
Patient engagement
Promote patient engagement with apps and portals that provide access to personalised health information.
Clinical research
Facilitate data sharing between research institutions, EHRs, and other systems. Give researchers access to structured data from diverse sources to accelerate research.
Healthcare payments
Automate insurance claims, patient payments, and financial reconciliations for stress-free patient finances.
Seamless healthcare payments
Automate insurance claims, patient payments, and financial reconciliations.
AI-powered diagnostics
Get APIs for AI-assisted medical image analysis, symptom checkers, and risk assessments.
IoT and wearables
Securely collect real-time vitals from medical devices and wearables and integrate the data with patient records.
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