Cloud clinics and AI doctors: how Rezilient is changing access to healthcare

Healthcare in the USA has reached a critical point. The average patient waits 26 days for a first appointment with a doctor, prices are rising exponentially, doctors are burning out, the system is cracking at the seams. Rezilient's CEO, Dr. Danish Nagda, came to a conclusion: the old model is dead. His solution is hybrid cloud clinics with AI support and a shift toward employers as the primary payer. In an interview with Bloomberg, he explained in detail how this will turn the healthcare system upside down.

Cloud Clinics Instead of Queues

Classical American medicine is breaking under its own weight. Waiting for a doctor takes months, a single visit costs between $200 and $500 depending on the specialist, switching doctors requires new registration and loss of all medical history. For a patient, this is a nightmare of coordination and uncertainty.

Rezilient offers a hybrid model: initial consultation is completely remote, fast (within 24 hours), almost free. The patient fills out a form on the platform, the doctor sees their full medical history and test results. If a physical exam is needed, the patient goes for an appointment, but already prepared, with a preliminary diagnosis and a clear treatment plan.

This is not just a video call. This is a structured interview, data collection, pre-diagnosis—all asynchronous, can be recorded at a convenient time.

Employer Pays, Patient Doesn't Pay

The most revolutionary part of the model is that the employer pays, the patient doesn't. This fundamentally flips the economics of healthcare. The employer is interested in employee health: fewer sick days, higher productivity, lower employee turnover. The patient doesn't pay out of pocket—access becomes fair, independent of income and social status.

Doctors work differently: they see more patients per shift, but spend less time on bureaucracy and phone calls. Records are kept automatically, prescriptions are sent to the pharmacy without intermediaries. The system closes more logically and cheaply.

AI in Medicine: Assistant, Not Replacement

Where exactly does AI work in Rezilient's model? Dr. Nagda highlighted several key use cases:

• Initial screening and history collection—AI handles routine questioning, fills out forms, identifies red flags
• Assisting doctors in diagnosing rare or complex diseases—AI compares patterns in a database of millions of medical histories
• Monitoring chronic patients between consultations—AI tracks blood pressure, blood sugar, weight indicators
• Supporting the writing of conclusions and prescriptions—corrects typos, improves clarity, checks drug interactions
• Planning therapy based on big data—suggests treatment options based on statistics by age and diagnosis

"This is the first step, not a final product,"

Nagda said in his Bloomberg interview. AI does not replace the doctor. AI replaces secretaries, medical assistants, part of diagnostics. The doctor remains at the center of decision-making, but now can focus on complex and intellectual issues instead of paperwork.

What This Means

If Rezilient and similar health-tech startups win, healthcare will be radically restructured. Instead of six-month waiting lists and overcrowded reception rooms—a supply-and-demand model. Instead of monolithic hospitals bound to a location—an ecosystem of cloud clinics and AI assistants. The doctor will no longer be the only bottleneck. The patient will get honest access to medicine, independent of insurance and insurance companies.

This is not a distant future—this is already the beginning.