Quality of Life

the Best Measure for

Quality of Care

Welcome to Acclivity Health

Quality of Life Care for those with Advanced Illness

Built on a foundation of compassionate care, Acclivity Health delivers the technologies providers need to care for their patients with advanced illness. Our analytics, machine learning, workflows, and education tools help reduce healthcare costs, ease the family burden, and ensure an improved end-of-life experience for the patient.

We are on a mission to change the face of Healthcare… but why stop there? We have also been busy changing the look and feel of our company to better match our dynamic corporate culture. Stay tuned for a new website, and much more!

The Connected Care Community

The cloud-based Acclivity Connected Care Platform transforms what has historically been a fragmented, uncoordinated or inadequate approach to advanced illness care to a connected, collaborative, community-based care model based with complete transparency. 

Experience complete transparency regarding their health condition and treatment options 

Refer their costliest patients and better manage performance indicators 

Access to an extended care team to be properly cared for and supported 

Identify patients eligible for hospice or palliative care earlier in the journey

Ensure the most complex and costly care scenarios are in the hands of the right care tea

To me, it's this simple: Death is not optional, but living life fully, is.
Dianne Gray Acclivity Health
Dianne Gray
Chief Innovation & Patient Advocate Officer

meet our leadership team

Jeremy Powell Acclivity Health

Jeremy Powell

Founder &
Chief Executive Officer

Kenneth Weng Acclivity Health

Kenneth Weng

Founder &
Chief Technology Officer

Dianne Gray Acclivity Health

Dianne Gray

Chief Innovation &
Patient Advocate Officer

Craig Long Acclivity Health

Craig Long

Chief Growth

Arif Kamal, MD Acclivity Health

Arif Kamal, MD

Chief Medical

Jon Nicolla

Jon Nicolla​

Chief Product

our Prognostic Modeling process

Artificial intelligence and machine learning are used to analyze and segment patient populations based on health history, demographics, and behavioral key indicators to identify and predict (with 95% accuracy) patients with advanced illness and in need of a more appropriate plan of care. 

our valued partners