Unified Medical Data Platform for Highly Accurate Diagnosis, Predictions and Prescriptions

An AI-based Decision Platform built using unified data model, incorporating systems biology topics for unit analysis using semi-supervised learning models


Today’s healthcare decisions are not completely foolproof in that they can lead to fatal errors. Statistics show that an estimated 850,000 medical errors occur each year, costing over £2 billion. Each year in the U.S., approximately 12 million adults who seek outpatient medical care are misdiagnosed, according to a new study published.  The third most deadly killers of Americans are medical errors, accounting for more than 250,000 deaths each year, according to the analysis. These medical errors arising from incomplete or inaccurate analysis could have easily been prevented. Therefore, it is critical to understand why misdiagnoses occur; and the problem requires careful evaluation of diagnostic systems and processes. Uncovering and re-mediating flaws in existing techniques can greatly reduce the risks associated with misdiagnoses.

Erroneous healthcare decisions often result from the lack of data in relevant areas, due to compartmentalization stemming from patient data lying in silos and historical data not being available for analysis by qualified diagnosticians. In other words, the problem involves data compartmentalization and/or for the failure of data to be proactively shared with those in the best position to make the best use of it. This fosters a pattern of highly assumptive decisions and a high potential for erroneous heuristic analysis.

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How Quahog’s Unified Patient Stack works?

The graphic illustrates how Quahog Unified Stack collects historical data from individual patients, which is used for analyzing conditions. The platform analyzes data and outputs diagnostic probabilities and supplement it with predictive insights and prescribe most effective remedies. These outputs can be accessed by doctors on their desktops or a mobile app. On the other hand, patient apps are also updated with insights and allow the patient to collaborate with the doctor for frequent engagement.

It’s never critical, if monitored daily

Quahog’s Body Monitoring App helps people to stay aware of their health conditions and take preventive measures if they sight a slight signal of deviation. Users are notified whenever there is a variance in health patterns. Based on the analysis, users get instant recommendations to resolve basic scenarios through diet or an exercise routine. You can share data with your doctor for quicker and collaborative resolution. With easy up-to-date information, you are never ill-prepared to handle a health attack.Read More »

Can Cancer Be Solved By Overexpressing Tumor Suppressor Genes?

Would it be right to say that Cancer(tumor growth) can be controlled if we can detect the defective cell where the growth factor range of the cell is greater than growth inhibition range, and quickly address such cells by modifying their parameters to make sure that the growth-inhibiting factor is more than the growth factor?

Recent success with Gene editing techniques using nanoparticles can help us manage the cell accumulation phenomenon (tumor) and develop solutions for the second leading cause of death.Read More »

Bots as Diabetologists

The total number of people suffering from ‘Diabetes’ has risen from a 108 million in 1980 to 422 million in 2014, and research reports show that the global prevalence of diabetes* among adults over 18 years of age has risen from 4.7% in 1980 to 8.5% in 2014. Diabetes prevalence has risen more rapidly in developing middle and lower-income countries and it has proved to be a major cause of early blindness, kidney failure, early heart attacks, early stroke, as well lower limb amputation leading to decreased productivity.Read More »