For Individuals – Nubis Health

The Realities of Modern Healthcare

In today’s healthcare environment, many patients don’t have sufficient access to a provider. Some patients simply can’t afford health insurance. Others do have health coverage, but find themselves cut off from care by high deductibles, co-pays, and skyrocketing costs.

Even patients who do see a doctor normally don’t get much facetime. As costs continue rising, physicians face ever-decreasing reimbursements from Medicaid and Medicare, and from insurance companies, too. Additionally, the guidelines for what services are covered and which aren’t are constantly being tightened and revised.

The result? The practice of medicine has become like a long assembly line, with patients being ushered in and out as quickly as possible. Doctors spend, on average, 2-3 minutes with each patient before rushing off to the next 2-3-minute consultation. And on it goes.

A Smarter Healthcare System Based on Artificial Intelligence

Modern healthcare has been slow to adapt to the computer age. Healthcare databases across the country are fragmented and imbalanced. Data has become splintered and scattered from one healthcare entity to the next, and lack precision.

At Nubis Health, we’ve developed an intelligent, intuitive system based on machine learning. The Nubis Health Knowledgebase is designed to identify, quantify, and bridge the knowledge gap created by the realities of modern healthcare.

The Nubis Health team of medical experts spent over eight years developing the Knowledgebase, encompassing over 75,000 man-hours. The result is a system that’s extremely accurate in providing individualized healthcare solutions, while being nearly as fast as the human brain.

The Knowledge base is currently comprised of about 300,000 numerical codes, a number which continually increases. These codes behave as information packets and are classified into group types:

Symptoms
Diseases
Clinical findings
Medications
Procedures

Instructions
History
Events
Lab tests
Genomic data

Additional subgroups and classes are built into the system to provide a meaningful framework through which to process codes and make relevant linkages to other codes. The system is extremely sensitive. A single change in user input could result in an entire realignment of predicted data points and connections, resulting in entirely different insights and results. The Knowledge base derives meaningful, evidence-based information from factors that might not otherwise be perceived as related such as:

Age
Body type
Recent illnesses
Recent travels
Routinely taken over-the-counter medications

The Knowledge base is designed to record, map-out, and manage a patient’s entire clinical history or “chart.” By so doing, the system can better understand a patient’s current symptoms in light of past medical history, and make informed, highly-specific preventative, diagnostic and/or treatment recommendations:

Diagnostics
Treatment
Preventive models
Disease risk
Genomic probability of specific medical conditions
Prognostic implications

Healthcare in Numbers

The fact that our codes are represented as numerical data—as opposed to textual information—is an important distinction. Studies, as well as numerous practical applications, have shown that machine learning is significantly improved by the use of mathematical data.

Each code in the knowledgebase is interconnected, linking together in block-like clustersconstructed from evidence-based medicine. For example, suppose that, in Hypothetical Cancer Z, 20% of patients exhibit severe facial pain. Severe facial pain, which is represented by a distinct numerical code in the Knowledgebase, is one of many possible, separately coded symptoms linked to Hypothetical Cancer Z.

Of course, severe facial pain also shares linkages with many other separately coded diseases and conditions in the Knowledgebase (e.g., sinusitis, trigeminal neuralgia, etc.), but its presence suggests the possibility of Hypothetical Cancer Z. What other symptoms might be present in this kind of cancer? Each of these will be linked by distinct, block-like codes to Hypothetical Cancer Z.

How might one treat a severe facial pain caused from this type of cancer? Those treatments—be they drugs, supplements, a medical procedure, or a specific type of massage—will all be separately coded and share linkages to both Hypothetical Cancer Z and to severe facial pain.

Sophisticated Healthcare for a Complicated World

Knowledgebase interlinkages can be quite sophisticated and complex. However, this complexity can provide meticulous information about the causes of specific symptoms and the most effective treatments for both the symptoms and their underlying diseases and conditions.

To be clear, however, the Knowledgebase’s complexity doesn’t translate to the patient interface. The system has been designed to be intuitive and easy-to-use.

From Virtual Medicine to Real-World Healthcare

You might be wondering how all these interconnections translate into real-world use. Suppose you awake in the middle of the night with severe heartburn. You’ve previously treated occasional heartburn with ‘Indigestion Medicine Y.’ This time, however, the medicine doesn’t work, and your heartburn worsens after you lay back down.

Maybe you don’t have insurance and/or you’re not convinced your symptoms merit an ER visit. Fortunately, you’ve created a free Nubis Health profile. You get up, log on, and begin entering your symptoms, and the medications/supplements you’re taking. Within seconds, the Knowledge base provides several possible causes of your heartburn, along with appropriate treatments.

Suppose you have one or more of those treatments in your medicine cabinet, take one, lie back down, and sleep contentedly the rest of the night, relieved of your heartburn.

Or maybe your heartburn continues and requires a trip to the ER after all. In that case, you’ve got the information from Nubis Health to provide baseline and background information to the ER doctor.Likewise, even if the Nubis-prescribed treatment worked, you might schedule a visit with your PCP just to be on the safe side. Again, thanks to the Knowledge base, you go to your appointment armed with vital information that could potentially save both you and your doctor time, while decreasing the likelihood of misdiagnosis and medical error.

A Better Quality of Life from a Higher Quality of Healthcare

Thanks to Nubis Health, that 2-3 minutes of facetime with your doctor will be far more productive. And for any additional questions you might have,your conversation with the nurse (with whom most patients spend more time than with the doctor) will also be more beneficial. The knowledge gleaned from Nubis Health empowers you to ask questions neither the nurse nor the doctor might have considered, and to suggest treatments they might not have thought of.

Sign Up for a Free Nubis Health Account

Remember, your use of Nubis Health is 100% free, and always will be. You only need to create an account to access the Knowledgebase. Better yet, the more you use Nubis Health, the better the system gets at understanding your unique needs as a patient—the better it gets at analyzing and diagnosing you, and recommending individualized treatments.

Your use of Nubis Health benefits our larger user base, too. As more people like you participate in the system, it becomes “smarter.” The AI gets better at mixing and matching the various codes across the entire user base, providing sharper, more accurate diagnoses, and treatment recommendations for each individual user.

To be clear, all the information the system needs to develop into a diagnosis-and-treatment powerhouse is already there. All we need are users like you, using the Knowledge base, enabling the AI to analyze and find patterns in the connections you provide between the preexisting data. So what are you waiting for? Sign up for a free Nubis Health login today and let our smart technology guide you. And remember, once you build a Nubis™ Health profile, you can return to use it anytime, always free of charge.

Disclaimer

The Nubis Health Knowledge base is not intended as nor should it be used as a replacement for the analysis, treatment, and advice of a duly-licensed healthcare professional. Self-diagnosis should never replace a doctor’s diagnosis or care.