4,561
COPD
patients
PALLUX
Diagnostic Codes
Diagnostic Codes
959
COPD
patients
WHAT IS THE CHALLENGE?
Despite available intelligence in existing patient records, an alarming number of patients remain untreated
WHAT IS PANGAEA DATA’S SOLUTION?
50%
Cancer cachexia symptoms can be missed
90%
CKD patients are undiagnosed
50%
COPD patients are undiagnosed
38%
Lung cancer patients are undiagnosed
50%
Marfan syndrome patients are undiagnosed
57%
ATTR amyloidosis patients are undiagnosed
85%
Hypertrophic cardiomyopathy patients are undiagnosed
66%
Patients with major depressive disorder are misdiagnosed
73%
Asthma patients are undiagnosed
70%
Ovarian cancer patients experience diagnostic delays
50%
Primary biliary cholangitis patients may be undiagnosed
70%
Lupus patients could be first misdiagnosed
what is pangaea data’s solution?
PALLUX – Finding untreated patients to improve outcomes and clinical care
5x
more
COPD
patients
2x
more
CKD
patients
6x
more
Cancer cachexia
patients
1.3x
more
Lung cancer
patients
1.4x
more
Ovarian cancer
patients
1.7x
more
Crohn’s disease
patients
1.4x
more
PBC
patients
∞x
more
Lupus nephritis
patients
COPD
in the US alone
50%
12.5M
“Looking back, I was probably struggling with my breathing for at least three years before I was finally diagnosed with COPD. And even then, it seemed to take ages to get a straight answer. Finally, after pushing and pushing, in February 2021, a respiratory nurse gave me a very offhand diagnosis over the phone.”
CKD
in the US alone
90%
32M
“I went back and asked the GP why this wasn’t picked up before, as I had been presenting with high blood pressure. Ten years prior my kidney function was at 97% and then it dropped to 60 then it dropped again. It had just been overlooked.”
Cancer Cachexia
“Finally, I came across the concept of cachexia. Sadly, this was only after he died. No one in the medical world had mentioned it, and it suddenly made sense to all of us who had cared for my husband as to why we had faced this struggle. Knowing about this created a huge relief for our kids, who had been so worried that we had failed my husband by not feeding him enough.”
Lung Cancer
38%
“A CT was never considered and because I had no prior knowledge of lung cancer, I never knew to ask… in total it took five months to confirm my lung cancer diagnosis in which time it had developed from stage 1 to stage 3.”
Ovarian Cancer
70%
“I’d also been to the doctor’s a couple of times with stomach pain in the year or so before the diagnosis, but this was put down to fibromyalgia… I was referred for an ultrasound, and it took weeks because I hadn’t been referred along the cancer pathway”
Crohn’s Disease
58%
“It took more than a year before I was diagnosed with Crohn’s disease, and another 10 before I received the medical treatment I needed in order to live a full life. I am still coming to terms with the fact that I suffered unnecessarily for years.”
Primary biliary cholangitis (PBC)
50%
“My PBC journey was more like a scavenger hunt… Even though my primary care physician found elevated liver enzymes in my blood work, they didn’t connect that to my fatigue…”
Lupus Nephritis
50%
“My brother was undiagnosed with lupus for 3 years despite showing signs. Ultimately when he was diagnosed, we were told his outlook was not good.”
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Hear first hand the challenges clinicians face working in primary care and the pivotal role that AI can have to…
This paper, published in the Journal of Medical Informatics Association, explores the application of ChatGPT and GPT-4 in the context…
In the era of precision medicine, genetic information plays a foundational role in tailoring healthcare to individuals. However, significant gaps…
Hear first hand the challenges clinicians face working in primary care and the pivotal role that AI can have to…
This paper, published in the Journal of Medical Informatics Association, explores the application of ChatGPT and GPT-4 in the context…
Learn more about how Pangaea’s AI configured on clinical guidelines has demonstrated to find more untreated patients
Learn more about how Pangaea’s AI configured on clinical guidelines has demonstrated to find more untreated and under-treated patients for COPD & CKD
Learn more about how Pangaea’s AI configured on clinical guidelines has demonstrated to find more untreated and under-treated patients for COPD & CKD
Learn more about how Pangaea’s AI configured on clinical guidelines has demonstrated to find more untreated and under-treated patients for Cancer Cachexia
Learn how Pangaea’s platform applied AI configured on clinical guidelines to find more untreated and under-treated lung and ovarian cancer patients
Learn how Pangaea’s platform applied AI configured on clinical guidelines to find more untreated and under-treated lung and ovarian cancer patients
Find out more about how data vendors use Pangaea.
Connect with our team of clinicians, scientists and engineers to learn more. Please use the form or email us at info@pangaeadata.ai
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