Delivering the next generation of healthcare services, and powering business resiliency with Big Data and AI/ML driven insights
Improving patient care outcomes and optimizing health care delivery are the primary goals of healthcare organizations. These two objectives also drive the greater goal of reducing return hospitalizations, and reducing costs in the current environment of extreme resource shortages and increasing regulatory oversight. The healthcare industry, unlike other industries, is beholden to two parties in the transaction – the individual patient, and the payer (usually the US government or a private insurance company). Both individuals and payer are now becoming more demanding about outcome focused care delivery.
Healthcare systems have to retool their IT and data systems extensively in order to adapt to the new demands on the business. Illustrative data infrastructure needs include systems that support a deep understanding of the patient, new communications models for tracking post- visit patient health, personalized medicine, and telehealth and home care models.
While data technology is expensive to create and maintain, modern AI/ML and Big Data technologies are making it easier to organize data, discover patterns, and derive intelligence that can revolutionize all aspects of a hospital’s business. However, these technologies are rapidly evolving and skills shortage can hamstring your organization’s ability to develop and maintain analytical and operational systems.
Enter Datamorph - Kwartile’s self-serve data transformation platform. Datamorph is a suite of tools that optimizes development of modern data architectures. It shields developers from the complexities of the implementation, reduces development time, and allows engineers to focus on uncovering intelligence within the data. The platform abstracts out the complexities of distributed computing and deployment environments – the two critical facets that represent the most complex and time-consuming tasks of systems development.
Datamorph makes it vastly more convenient to create and maintain powerful data and analytical applications such as Electronic Health Records, advanced Patient ProfileManagement systems, Patient Behavior Predictors and Outcome Analytics, and Home HealthDelivery Analytics. Additionally, the platform is customizable and extensible, allowing engineers to implement any kind of complex business logic required for building custom business applications.
With Datamorph, healthcare businesses can create streamlined applications to obtain deeper insights into patient health, create advanced operational systems, optimize billing management, and achieve high-ROI on all investments – all with significantly reduced spending on IT skills and infrastructure.
For much of the last decade the US and Global Healthcare Industries are facing a multitude of rapid and unpredictable changes ranging from tectonic regulatory shifts to technology disruption and crippling shortages in clinical staff. And then came the Covid-19 pandemic,stretching global health systems to the breaking point and rationing healthcare. Hospitals are essential infrastructure and have been propped up by governments and so the true economic fallout remains to be ascertained. Consider the following statistics:
In response to the disruptions, the U.S. Healthcare industry is changing on multiple fronts:
Predictably, leaders are pulling away from the pack with increasing revenues while laggards are going out of business. Further strengthening this trend is the rise of digital adoption. Since the Pandemic, digital sales have skyrocketed and retailers that doubled down on digital have done much better than their peers.
Successful healthcare organizations will have to make significant investments to improve care outcomes, embrace technological advances, and expand delivery models – all while controlling costs. None of this is going to be possible without a capable data infrastructure. Indeed, the role of data will only increase rapidly in healthcare. Consider the following:
The healthcare industry must catch up to its technology industry peers in understanding how to deal with massive amounts of data. The industry must embrace mature data integration and management practices supported by the latest data processing software and infrastructure. These include:
More specifically, healthcare needs to embrace the paradigm shifts happening in data processing technologies, as illustrated below in Figure 1:
The above defined technology stack has great data manipulation and processing capabilities, but requires a highly skilled data team to organize the data, create processing workflows, and build operational data systems.
Add to this, advances in AI/ML systems which require complex training systems and a multitude of data stores for scenarios, and IT development operations can become unwieldy.
It is well known that about 85% of a data scientist’s time is spent on just identifying data sources and pre-processing steps. Similarly, application developers spend much of their time in dealing with the complexities of distributed computing environments (i.e., the multi-cloud),and the complexities of deployment environments.
Kwartile’s DataMorph platform is a Low/No-Code Data transformation platform that reduces the hurdles to developing and maintaining modern data applications. The platform offers a powerful set of tools to create and maintain a modern data processing framework (see Figure 2):
While the Modern Data Architecture solves many problems of data organization, data processing, data accessibility, and data governance, it creates a new set of challenges for developing data applications, including the following:
Due to all these challenges, the data applications programmer is faced with a steep learning curve. The underlying technologies are also advancing rapidly, making it even more challenging for developers to keep up.
What is needed is a way of reducing the quantity of coding required for developing and maintaining data applications, and managing DevOps, cloud deployments, and security frameworks.
Datamorph is a low/no-code platform that is optimized for developing data applications. By using the platform, developers can improve their productivity by 50-90% while reducing operational costs between 20-60%. In the long term, Datamorph provides many other benefits for software maintenance including automated version control, dependency management, and application security management. This leads to high code maintainability and improves the long-term economics of application development even further for companies.
At a high-level, the specific features and benefits of the Datamorph platform include the following:
Also, the platform provides many productivity enhancing tools including the following:
While the Datamorph platform is appropriate for almost any possible data application development scenario, some more representative healthcare use cases include the following:
Below are three representative case studies that the Datamorph platform has been implemented at healthcare customer sites.
The rollout of the projects provided multiple benefits and capabilities to the care team, finance operations, and operational organizations including IT and Customer Service.
IT is now off-loaded and has successfully shifted focus to providing better data science capabilities and improving the systems needed for enabling a data driven culture.
In conclusion, data is increasingly proving to be key to a healthcare organization’s competitiveness. The next generation healthcare provider must make significant investments in modernizing their data infrastructure or risk survival. Kwartile’s Datamorph platform provides critical data application development capabilities and improves IT Team productivity.
Kwartile offers a robust set of solution and support services for the Datamorph platform. Our Product Support services offer multiple plans for Enterprises, Software Development professionals, and Partners. The support services include technical help during the warranty period, bug fixes, and regular version upgrades.
In addition, our professional services team offers data strategy, design, and application development services. Kwartile Consultants and Data Engineers possess a combination of deep and practical technology expertise, industry expertise, and strategic product management experience.
Framework to power customer loyalty with AI-driven Customer Profiles, Behavioral Analytics, and Predictive insights