Curating the best of Awell

AI that adapts, coordinates, and knows when to escalate.

Where deterministic reliability meets AI-powered healthcare adaptability

Healthcare AI needs workflow-first evaluation metrics

Shift from automating workflows to orchestrating care: embracing AI's transformative potential.

From vendor lock-in to total control—Suvida builds, tests, and refines care flows on their terms

Spreadsheets don’t scale, but automation does—turning complexity into seamless care orchestration.

From tangled pathways to a clear road ahead—mental health care without the wait.

Removing care from code, enabling fast workflow updates, reducing engineering reliance, and improving cancer care with real-time adjustments.

Scaling virtual addiction care with automation, improving compliance, reducing admin burden, streamlining workflows, and adapting to regulatory challenges.

Wellpath Partners with Awell to Improve Quality of Care through Data-Driven Improvements

Paloma partners with Awell to help tackle long NHS wait lists

Learn how Awell transformed AZ Jan Palfijn Hospital's patient survey process, boosting survey completion rates by 218%, and slashing manual work from 130 to under 2 hours annually.

Certific scaled up to 35 care flows in 3 different languages while saving nurses up to 12 minutes per patient and freeing developers to focus on strategic growth projects.

Hippocratic AI's new AI agents are transforming tasks like pre-op prep and post-discharge care, addressing clinician burnout and inefficiencies. While adoption faces hurdles, platforms like Awell are strategically integrating AI to support—not replace—care teams, enhancing patient outcomes.

Discover why experienced care teams choose Awell's scalable CareOps platform over hardcoding care flows.

SOL Mental Health partners with Awell to automate manual processes and streamline patient access. Discover how Awell's CareOps platform is transforming behavioral health care.

Streamlined care flow design, orchestration, and adoption with Awell, cutting engineering efforts by 66% and freeing 250 hours annually for improved patient care.

80% reduction in time spent on patient care coordination, streamlined onboarding, and enhanced adaptability to NHS contracts

The future of health care is composable, event-driven, and focused on delivering a fabulous care team experience.

There are 4 major roadblocks that make most change efforts run into a brick wall. Demolish them right, and change happens fast.

Most teams often massively underestimate implementing "simple" processes. ee how one healthcare org avoided an 8-month delay by embracing iteration.

In the field of healthcare, patient-reported outcome measures (PROMs) play a vital role in assessing the impact of medical interventions on patients' daily lives.

The CAHPS survey is a valuable tool used in the healthcare industry to assess and improve patient satisfaction and healthcare quality.

This forward-thinking hospital shaved off up to 15 minutes per consultation.

“IBD care is a small world – we’ve all run into each other over the years. Thanks to the standardised process of the ICHOM standard set and the Awell care pathways, we have been able to build the trust in our collaboration that is required to be transparent about outcomes.”

In 2017 Professor Demedts and his team had a vision for more multidisciplinary lung cancer care focused on outcomes while keeping an eye on efficiency and the cost to realize those outcomes. They chose to implement this vision with Awell in the form of an integrated digital lung cancer pathway

“With Awell, we were able to get rid of our paper processes and Excel databases, moving our entire care team into a digital solution that allows us to work in a coordinated way."

Overcoming widespread doubts to introduce digital care pathways

The creast aancer clinic at Jessa Hospital is made up of 19 specialists who treat 340 new breast cancer cases each year.

The development and improvement of end-to-end care flows in care organizations have traditionally been really slow and cumbersome.

Whether or not you're on top of the wave of technological innovation that has been washing over healthcare in recent years, a second wave is coming and will hit sooner than expected.

Despite the prevailing dominance of the fee for service model, the shift to Value-Based Healthcare is well underway in the minds of many healthcare providers.

Amid our efforts to improve health care quality, a primary factor that can significantly influence the patient outcome is neglected. That factor is teamwork.

A modeling language that uses rules to describe variation and does not need to map every eventuality with arrows in flowcharts provides this desired flexibility.