The human excellence is reflected in gazillion different things, but none put it on the display more prominently than our ability to improve at a consistent pace. We say this because the stated ability has already got the world to hit upon some huge milestones, with technology appearing as a major member of the group. The reason why technology enjoys such an esteemed stature among people is, by and large, predicated upon its skill-set, which guided us towards a reality that nobody could have ever imagined otherwise. Nevertheless, if we look up close for a second, it will become clear how the whole runner was also very much inspired from the way we applied those skills across a real world environment. The latter component was, in fact, what gave the creation a spectrum-wide presence, and consequentially, kickstarted a tech revolution. Of course, this revolution then went on to scale up the human experience through some outright unique avenues, but even after achieving such a monumental feat, technology will somehow continue to produce the right goods. The same has grown increasingly evident in recent times, and assuming one new healthcare-themed development shakes out just like we envision, it will only make that trend bigger and better moving forward.
Data Kinetic, a technology company focusing on Applied AI for industry, has officially released its first suite of industry-focused applications that are all designed to enhance existing healthcare workflows and solutions. Enabling you to run things from your preferred platform, the stated applications notably come with air-gapped security, which goes a long way to ensure that your models are isolated for adequate protection, should there any data leakage. Furthermore, it delivers at your disposal a cold start element, meaning no data is ever required to leave customer’s original environment. Hence, customers can build their own AI assets, and at the same time, support existing workflows and practice requirements. Talk about the suite of applications on a slightly deeper level, it is able to generate greater efficiency across healthcare institutions’ workflow by providing engineering teams with the model blueprints and pre-packaged models, models that reduce cost and increase speed to market in an outright secure manner. This the company does through solution like Social Detriments of Health (SDH) Basically, SDH bears the responsibility to identify and focus on the impact of non-medical factors like lifestyle and socioeconomic status. These non-medical factors are such an important focal point because, as per the data we have available at present, they account for nearly 30-55% of health outcomes. To accommodate that, Data Kinetic’s SDH trains machine learning models on data sets concerned with income, healthcare, education, and other factors. The centerpiece idea here is having a more informed basis to predict vaccination rates, and other community health indicators that offer meaningful insights in the context of things impacting these rates. We referred to the prospect of predicting, Data Kinetic’s latest brainchild brings that facility even when the agenda is to forecast hospital patient volume. Leveraging historical patient records, admission and discharge data, and real-time data streams, the application conceives for you a well-educated forecast of patient volume at a given time. Like you can guess, the forecast in question tends to become absolutely crucial, if you acknowledge its usefulness in optimizing resource allocation, facilitate care plan adjustments, and improve emergency preparedness.
Beyond helping you have a better idea about initial traffic, though, the new applications suite also makes it possible for users to predict the length of stay in every single patient’s case. The reliability attached with such predictions can also be understood once you take into account how they are only formed after combining a total of 17 regime factors, including correlated conditions, historical data, and CMS insights. Interestingly enough, in a bid to keep up with the times, Data Kinetic’s suite even factors in a unique way of detecting medicinal drugs’ potential impact. You see, treating social media conversations as the channel for doing so, it is able to better understand that impact. This is because side effects of medicines and vaccines can emerge in larger and more diverse patient populations. So, by analyzing the picture at scale, we can essentially gain near real-time insights into a drug’s safety.
“Data Kinetic is driven to make a difference in the healthcare industry by empowering specialists with Applied AI. We collaborate with healthcare teams to improve patient outcomes and drive positive changes. By addressing specific healthcare challenges with AI models, we enhance patient care, drive cost efficiency, and deliver measurable improvements to healthcare operations,” said Nick King, CEO and founder of Data Kinetic.
Hold on, we still have a few bits left to unpack, as we are yet to discuss how the new suite of applications will also solve healthcare industry’s longstanding supply chain woes. Again fetching you information way ahead of time, it banks upon hierarchical clustering on time series correlations, while simultaneously employing diverse models like XGBoost and Neural Networks for varied conditions and programs, to help you have a better idea on the demand. Rounding things up is the suite’s pledge to security, a pledge where we have one specialized CMS fraud detection solution. Now, this solution has been developed using over 480 models and 9 graph variations, all of that totaling up to a comprehensive statistical model with over 4,000 parameters. Another encouraging detail regarding this application is that, when deployed within the healthcare provider’s infrastructure for an initial test, it successfully displayed a 94% accuracy rate in detecting fraudulent behaviors.
Founded in 2023, Data Kinetic is steadily making a name for itself, something which can be credited to its platform agnostic nature, along with a deep R&D and applied AI knowhow. By agnostic platform, we touch on the company’s work on top of your data infrastructure and its commitment towards building solution outcomes that align with business on an individual level. As for its expertise in R&D and applied AI, it is rooted in the company’s novel data management and augmentation, LLM/generative use cases for enterprises, and emerging Al techniques such as declarative Al, model performance enhancement, and fit-for-purpose Al agents. Furthermore, Data Kinetic’s credentials show up big time if you consider its track record in guiding customers and partners through Al adoption, outcome-specific solutions, and training. The company is also known for developing effective strategies that help you stay ahead of regulations, and choose projects with direct outcomes.
