QClinics is conducting a national provider insight study on AI, access to care, and the future of the healthcare workforce.

Contribute Your Perspective

We are actively gathering perspectives from healthcare professionals to help define what should be built next.

Rebuilding Access to Care in the Age of AI

An MPH-led initiative exploring how AI can reduce provider burnout, improve patient access, and reshape care delivery systems.

Built alongside real-world providers and underserved populations.

Core Philosophy

The Relationship at the Center of Care

At its core, healthcare has always been simple:

A provider and a patient, working together toward better health.

But over time, layers have been built around that relationship:

  • Administrative systems
  • Insurance complexity
  • Documentation burden
  • Fragmented workflows

Many of these were created with good intentions.

Today, they often stand between providers and the people they are trying to care for.

“The provider-patient relationship is sacred. Everything else in healthcare should exist to support it — or be removed.”

The Problem

The System Isn't Broken — It's Fragmented

Patients struggle to find the right provider

Providers are overwhelmed by administrative burden

Access to care is inconsistent and inequitable

Technology has added complexity instead of clarity

AI has the potential to change this — but only if it is built with providers, not just for them.

Research Initiative

This Starts With Listening

Before building solutions, this initiative is focused on understanding:

Where providers are experiencing the most friction

Where access to care is breaking down

How AI is already changing workflows

Where human-centered care is becoming more important

This is not a finished product.

This is a collaborative effort to define what should be built next.

Our Approach

Most People Are Building. We're Asking First.

Healthcare does not need more disconnected solutions. It needs clarity.

Before introducing new tools, we believe it is critical to:

Listen to providers

Understand real-world constraints

Identify where systems are breaking down

Define where technology can actually help

Future of the Workforce

Where Human Care Becomes More Valuable

Healthcare is entering a period of rapid transformation.

AI is already beginning to reduce the need for certain administrative and repetitive tasks: documentation, scheduling, basic triage.

But this does not eliminate the need for healthcare workers. It reshapes where they are needed most.

As technology removes friction, the value of human-centered care increases.

Emerging Areas

In-Home & Longitudinal Care

Extended care relationships that technology cannot replicate

Behavioral & Mental Health

Human connection at the core of treatment

Patient Navigation

Guiding patients through complex care journeys

Community-Based Care

Serving underserved and vulnerable populations

Hands-On Clinical Roles

Physical care that requires human presence

Responsibility

There is a responsibility for those building in this space to help healthcare workers adapt, create new pathways into emerging roles, and ensure technology supports providers rather than displacing them.

Research Output

From Insight to Research

All contributions will be aggregated, anonymized, and analyzed through a public health framework.

These insights will be developed into:

Comprehensive Research Report

Detailed analysis of provider perspectives and access challenges

Provider-Informed Perspective

Real-world insights on AI adoption in healthcare settings

Roadmap for Improving Access

Actionable framework for addressing care delivery gaps

Participants will receive access to the final findings.

Participate

Help Shape the Future of Care

Your insights will be aggregated, anonymized, and analyzed through a public health framework to inform how technology can better serve healthcare.

Your responses will be anonymized and aggregated. You will receive access to the final research findings.

Vision

What This Could Become

Potential future directions include:

AI-powered provider-patient matching

Decentralized care models

Off-site or hybrid clinics

Workflow automation tools

These are exploratory and will be shaped by real-world input.

Looking Ahead

QClinics may evolve into a platform, a network, or a care infrastructure layer.

But today, the focus is: Listening first. Building second.

Trust & Ethics

Built with Integrity

No Data Sold

Your information is never sold or shared with third parties

Anonymized Responses

All contributions are aggregated and anonymized

Public Health Driven

This is a research initiative, not a commercial product

Collaborators, Not Users

Contributors are partners in shaping healthcare's future