Traditional healthcare often treats each patient visit as separate, especially when patients come in for quick, specific problems. This way doesn’t work well for people with long-term illnesses who need ongoing help and different doctors working together. Longitudinal care means managing a patient’s health continuously over time, which helps control chronic diseases better.
MediOrbis shows this change by offering a telehealth platform that handles both quick visits and ongoing care in one place. Their system helps manage illnesses like heart disease, lung disease, diabetes, and kidney disease. Patients get complete care that changes with their health needs without many separate visits.
For people running healthcare centers in the U.S., this combined model improves patient involvement and keeps care connected. Patients can get easier access to specialists and programs for long-term disease management, which are hard to find in rural or poor areas. It also lowers hospital visits by focusing on prevention and teamwork.
A key part of these new telemedicine systems is using AI-powered digital intake and triage. Digital intake means patients enter their health information online before seeing the doctor. This helps both patients and doctors be ready, making visits quicker and more focused.
MediOrbis teamed up with Kahun to add an AI-based digital intake to their platform. Kahun’s system uses explainable AI based on over 30 million pieces of medical evidence. The AI works like a doctor by assessing patients and creating clinical notes before the doctor talks with them.
For hospital leaders and IT staff, this AI intake saves time and makes work smoother. Instead of collecting data during the visit, doctors get detailed patient information ahead of time. This helps doctors spend more time on treatments and less on paperwork.
Dr. Jonathan Wiesen, co-founder and chief medical officer at MediOrbis, says this is a new type of telemedicine. It offers whole-person care and speeds up intake. Patients get help filling out forms with clear questions that improve communication and preparation for visits.
One big problem in healthcare is doctor burnout, caused by too much paperwork and slow clinical processes. AI tools like Kahun’s help reduce this by handling much of the pre-visit work.
Kahun’s AI gives doctors useful patient data and clinical support before visits. This means doctors spend less time reviewing information and more time caring for patients.
Healthcare leaders who use AI and automation often see better staff happiness and lower turnover. Hospitals and clinics that use these tools may reduce doctor tiredness and improve care quality.
Eitan Ron, CEO of Kahun, says their system makes intake faster and cuts burnout by giving doctors good information ahead of time. This helps healthcare groups work more efficiently.
Many people in rural parts of the U.S. still find it hard to get good healthcare. It’s tough because of distance, few specialists nearby, and problems with transportation. This makes it hard to manage ongoing illnesses.
Systems like those by MediOrbis and Kahun help by giving digital access to complete healthcare. Their telehealth platform lets patients fill out forms and get triaged remotely. Doctors can then offer specialty and regular care programs without patients needing to travel far.
MediOrbis does thousands of telemedicine visits each month. Patients with heart disease, diabetes, lung disease, and kidney disease in rural areas get better care through teleconsultations using AI tools. This lowers bad outcomes and stops many hospital visits and readmissions.
Health insurance plans also benefit because they save money by avoiding costly hospital stays and manage complex diseases better. Digital intake and triage help self-insured payers improve care and save costs.
AI automation is changing how healthcare providers handle clinical workflows, especially in telemedicine. Adding AI to tasks like patient intake, triage, clinical support, and follow-up scheduling helps in many ways.
Hospital leaders and practice managers who adopt AI tools see better control over operations, lower costs, and faster patient flow. IT teams can also support telehealth systems that grow with patient demand without losing quality.
The future of telemedicine in the U.S. depends on using combined solutions that offer continuous care and technology innovation. Practice owners and administrators should think about these points when looking at new telehealth models:
With these in mind, healthcare leaders in the U.S. will find that investing in AI-powered digital intake and complete telehealth platforms sets their organizations up for steady growth in a changing healthcare world.
By combining clinical knowledge with AI technologies, companies like MediOrbis and Kahun show how telemedicine can offer more connected, cost-saving, and easy-to-access care. This new model guides patients through continuous care with digital tools that improve work for doctors and administrators. As healthcare moves forward, joining long-term clinical services with digital intake is set to change outpatient care and lower health system costs in important ways.
MediOrbis partners with Kahun to integrate Kahun’s AI-driven digital intake and triage tool into MediOrbis’ telehealth platform, enhancing patient intake, streamlining telehealth visits, and supporting clinical decision-making before consultations.
Kahun’s tool uses explainable AI (XAI) clinical reasoning based on over 30 million evidence-based medical insights. It mimics clinical thinking to generate professional clinical assessments and insights prior to patient-provider interactions.
It expedites the clinical intake process, reduces physician burnout by supplying valuable clinical information before visits, and helps optimize telemedicine consultations for better efficiency and patient care.
MediOrbis refers to it as ‘new telemedicine,’ delivering comprehensive, whole-person digital care by combining longitudinal clinical services with digital intake to improve patient engagement and streamline care across episodes.
MediOrbis offers multi-specialty telemedicine and chronic disease management programs for conditions like heart disease, chronic lung disease, diabetes, and chronic kidney disease, providing episodic and longitudinal care.
It offers patients guided access to provide detailed medical information before their consultation, improving communication, ensuring better preparedness, and facilitating appropriate care direction.
MediOrbis anticipates payers will use the system to better manage complex diseases, improve patient outcomes, reduce hospital admissions, and lower healthcare costs, particularly benefiting underserved rural populations.
A unified platform allows patients to access a wide spectrum of medical services and chronic care management through a single contact point, simplifying healthcare navigation and coordination for members.
Kahun is led by tech veterans and a pediatric specialist with software engineering experience, focusing on mapping vast textual, evidence-based medical knowledge to build tools for enhanced medical practice.
By providing clinicians with pre-visit clinical insights and streamlined patient data collection, the AI tool reduces administrative burden, enabling physicians to focus more effectively on patient care during telehealth consultations.
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