Telehealth services in the U.S. have grown quickly, especially since COVID-19 showed the need for remote patient care. But telehealth alone cannot provide the best care without easy access to patient records. This is why linking telehealth with EHR and EMR systems is important.
Electronic Health Records are digital versions of patients’ medical charts. They include data like medical history, medications, allergies, lab results, imaging scans, and treatment plans. Electronic Medical Records usually mean patient records within one practice. When telehealth platforms talk well with EHR and EMR systems, healthcare providers can see current patient info during remote visits. This helps doctors make better decisions and lowers mistakes.
Data from healthcare IT experts shows that combining telehealth with EHR can cut delays in lab and imaging results by up to 50% and reduce medication mistakes by 30%. These changes help provide faster and safer care to patients.
Even with benefits, linking telehealth and EHR systems has some problems. Many healthcare providers have data split up across labs, pharmacies, imaging centers, payers, and other apps. These separated systems make it hard to see data in real time and complicate work processes.
Other technical problems include different formats for data. For example, labs use LOINC codes, diagnoses use ICD or SNOMED CT, and medications use RxNorm. Older EHR systems may not have modern APIs, making it tough for systems to communicate smoothly.
There are also issues with the Master Patient Index (MPI). Matching patient identities across many systems can be wrong. Incomplete or duplicate records can happen, which hurts care quality.
Healthcare groups also deal with disruptions in work steps and some staff resisting changes when new systems come in. Careful planning, involving stakeholders, and good training are needed to fix these issues.
Standards like HL7 v2 and FHIR (Fast Healthcare Interoperability Resources) allow safe and quick data sharing between telehealth and EHR/EMR systems. FHIR APIs help give near-instant updates and access to clinical data like medications, lab results, imaging, and notes without waiting for batch processing.
These APIs also allow SMART-on-FHIR apps. These apps work inside EHR systems and add features like decision support or patient engagement tools.
Using HL7 and FHIR integrations, healthcare providers reduce manual data entry by about 70%. This automation speeds up work, lowers human errors, and lets staff focus more on patients.
One heart clinic that used this integration cut lab and imaging result times in half. This helped more patients get care faster and improved satisfaction.
With more digital data sharing, keeping patient privacy and security is very important. Integration solutions use many security layers like encrypted data transfer (TLS), encryption for stored data, limited user access following least privilege rules, and audit logs to track data access and changes.
Following the Health Insurance Portability and Accountability Act (HIPAA) means providers and tech vendors must do regular risk checks, manage Business Associate Agreements (BAAs), and have plans ready for data breaches.
Healthcare IT teams also keep test data separate from real patient records to avoid insider risks or accidental leaks.
A multi-specialty clinic shared that real-time checks for insurance eligibility and prior authorization in their EHR cut denials and saved staff many hours each week. This shows how integrated systems help beyond clinical care, also improving billing and revenue management.
Artificial Intelligence (AI) and automation are becoming useful tools in healthcare IT, especially with telehealth and EHR systems working together. AI looks at large sets of data from EHRs and telehealth visits to help with clinical decisions, patient engagement, and managing office work.
One example is AI virtual assistants added to telehealth platforms. These assistants answer common patient questions 24/7, help schedule appointments, and send urgent issues to healthcare workers if needed.
By automating routine phone tasks and appointment handling, AI front-office systems reduce calls to staff, saving time and resources. Many providers see about an 87% boost in staff efficiency after using AI patient interaction tools.
Clinically, AI helps predict which patients might need hospitalization or might not follow medication plans. Putting these insights into EHR workflows helps providers be proactive with patient care.
These smart systems also handle many types of communication, sending secure alerts and reminders through SMS, email, voice calls, and messaging. Automated messages help patients keep appointments, take medication, and do follow-ups. This lowers no-show rates and expensive gaps in treatment.
Automation also helps data management. EHRs update in real time during patient self-service and telehealth sessions. This keeps medical records current and supports smooth care.
Medical practices in the U.S. have strict rules, including HIPAA and interoperability set by federal agencies. Vendors must connect well with popular CRM systems like Salesforce and Microsoft Dynamics, and contact center platforms like Cisco UCCE and Amazon Connect.
Integration covers clinical data and also billing, scheduling, and patient engagement systems. This creates a full digital setup suitable for clinics and large hospitals.
Patients can make appointments for COVID-19 tests, vaccines, and regular check-ups on telehealth portals. This reduces work for front-office teams. Centralized patient data helps with quality reporting and following value-based care rules common in U.S. healthcare.
Using these integrated systems helps clinics use resources better and care for more patients without lowering quality.
Administrators and IT managers wanting telehealth-EHR integrations should carefully check vendors. They should pick solutions that have:
It is also important to have good staff training and plans for managing change to help with a smooth transition and lasting success.
Telehealth is growing in U.S. healthcare. Combining telehealth with real-time access to patient data through EHR and EMR links helps improve clinical work, patient engagement, and office tasks. Adding AI and automation makes these benefits stronger. This helps practices handle more patients while keeping care quality high. Healthcare leaders in charge of these systems should focus on integration to keep up with digital changes.
eGain Telehealth is a cloud-based digital engagement platform that supports healthcare providers by automating patient engagement, scheduling, and follow-up communications, especially useful during vaccine rollouts and remote consultations.
The Virtual Nurse is an AI-powered assistant available 24/7 that provides patients with continuous assistance, leveraging AI, knowledge bases, and machine learning to answer queries, guide scheduling, and escalate to healthcare professionals when necessary.
Patients can independently schedule COVID tests, vaccinations, and check-ups, and securely interact with doctors and nurses via messaging, thus reducing dependency on live agents and improving accessibility.
The platform offers integrated appointment scheduling across multiple preferred patient channels, ensuring easy, convenient bookings that reduce friction and improve engagement.
eGain Telehealth supports omnichannel engagement including SMS, MMS, social media, video chat, secure messaging, and phone, allowing seamless switching between chat, video, and voice for an enhanced patient experience.
It provides HIPAA-compliant proactive alerts, reminders, and updates via SMS, MMS, voicemail, email, push notifications, and secure messages to keep patients informed and engaged.
The platform integrates in real-time with EHR and EMR systems, updating patient data captured during both self-service and assisted interactions to maintain continuity and accuracy in healthcare records.
Reported outcomes include a 50% reduction in patient no-shows, an 87% increase in productivity, 6000 minutes saved in waiting rooms, cost savings of $86 per patient in overhead, and $6.4 million saved in patient travel expenses.
It provides device-agnostic virtual assistance, seamless appointment scheduling on preferred channels, and multiple communication touchpoints including alerts and reminders, ensuring convenient, consistent, and personalized patient interactions.
Healthcare providers benefit from reduced service costs through automation and self-service, improved Net Promoter Scores (NPS) with AI-driven conversations, and reduced training needs for staff, supporting operational efficiency and patient satisfaction.