The Guiding Stars of Algorithms
In the world of healthcare, algorithms serve as our guiding stars, emerging from the statistical analyses of vast pools of data. These rules, much like the lines on a graph, distinguish the normal from the abnormal, grounded in the intricate dance of Gaussian distribution.
The bedrock of evidence, Randomized Controlled Trials, illuminates the efficacy of molecules and tests, among other facets. Yet, between these algorithmic points lies a boundless landscape of possibilities - the true tapestry of the real world.
Meet Dr.Sivakumar
Dr. Sivakumar is a diabetic care practitioner based in a tier 2 city in India. His journey began in 2004 when he started capturing digital health records on behalf of his patients at his clinic. This approach significantly reduced the burden on patients who no longer needed to carry physical paper records. Moreover, it enabled Dr. Sivakumar to provide better care by facilitating easy retrieval of vital parameters such as blood sugar levels, pulse, BMI, and blood pressure. Additionally, the digitization of health records allowed him to provide printed prescriptions, which increased patient compliance compared to the traditional method of handwritten prescriptions.
In 2009, Dr. Sivakumar and his team built an electronic medical records (EMR) system for their clinic with the help of a software development company. This implementation resulted in a reduction in operational tasks, freeing up more time for providing enhanced care to patients. By using the EMR system, Dr. Sivakumar was able to identify prescription patterns and deliver faster and more effective medications to his patients. The system also provided the ability to visualize trends in vital parameters and review past performance, enabling him to make prompt and informed decisions in patient care.
Bridging the Gap with Real-World Evidence
To bridge this gap, we must gather real-world evidence, an endeavor that hinges on empowering individuals to share their health records judiciously.
It's this data that fuels the engine of research and development, steering us towards a future of ever-improving health. Enter diax.ai, with "Diary" for individuals, "Dialog" for healthcare providers, and "Diabrain" at its zenith, making decisions wiser and faster in the pursuit of optimal health and the prevention of complications.
Join the Transformative Journey
Join us in this transformative journey towards a healthier, more informed future. Together, we're rewriting the rules.
Stay tuned for the early version of Diabrain.
From Mathematics to Medicine: Where Rules Break and Possibilities Emerge
In the vast realm of mathematics, there are two defining aspects: the probabilistic and the deterministic. Consider Chandrayaan 3's triumphant landing on the moon - a feat achieved through precise, deterministic calculations and exact measurements.
Within the world of medicine, probability is a constant companion. From predictive scoring systems for cardiac diseases to diabetes, cancers, and more, the influence of mathematical probabilities is profound. A multitude of factors add layers of complexity, underlining the critical role of data in refining predictions.
Empowering Data Capture and Validation
At Diax.ai, we provide powerful tools for both healthcare providers and individuals to capture and validate health data. With "Dialog", providers seamlessly record and validate health records, while "Diary" puts the power in the hands of individuals to track their own health journey.
As this collective data converges, decisions become more comprehensive and holistic, supporting healthcare stakeholders at every turn. In the background, "Diabrain", our complementary brain, employs machine learning for predictive analysis.
Upcoming AI-Based Drug Treatment Model
Exciting news on the horizon: we're on the verge of releasing our AI-based drug treatment model for Diabetes. Stay tuned for this groundbreaking development!