SAP HANA

How SAP HANA Leverages Data for Better Healthcare Delivery

The healthcare industry is rapidly evolving with the adoption of new technologies and collaborative strategies, focusing on the goal of providing more-personalized care services to everyone.

 

At the same time, modern healthcare tools and technologies are helping healthcare leaders to reduce costs, integrate new evidence-based and outcome-driven models, as well as make the most of data and analytics to drive improved performance and quality.

 

The healthcare sector is especially deriving superior benefits from its interaction with patient data. Yet this creates a big challenge for healthcare leaders as well. Healthcare data is piling up at a staggering rate—it is estimated that patient information and datasets are doubling in size every couple of years. This has made it critical for players in the healthcare industry to adopt proactive measures to keep up with the pace of data generation and leverage it for ensuring the best patient outcomes.

 

The Main Challenge in the Healthcare Industry

Digital transformation and the digitizing of patient records has led to a surge in data and information collection and transmission in the healthcare industry. Alongside keeping up with the multiple sources of data and information, such as electronic health records, research and trials, medical exams, implanted devices, wearables, and personal fitness apps (more on storing IoT data with SAP HANA here), healthcare companies also need to manage different forms of data to accelerate their workflows and ensure improved care.

 

As health data is highly fragmented and segregated into diverse systems, it is crucial for healthcare businesses to integrate biological and clinical, as well as lifestyle datasets, to deliver exceptional individualized care services. At the same time, healthcare organizations need to incorporate predictive analytics to recommend care to patients and manage their challenges effectively. This is where SAP HANA emerges as a potential solution for healthcare leaders.

 

How SAP HANA Helps to Ensure Improved Healthcare Services

SAP HANA is an in-memory database which performs high-speed transactions and advanced analytics from a single dashboard. It helps users to process huge amounts of data in real-time, which is helpful for healthcare organizations looking to speed up decisions and actions based on the available patient data and records. SAP HANA stores all information in column-based tables while integrating online transactional processing and online analytical processing technologies to process the data faster.

 

SAP HANA can help healthcare companies perform predictive analysis, spatial data analysis, graph data analysis, and other advanced analytic operations to ensure the delivery of personalized care for all patients based on their biological, clinical, and lifestyle information. Moreover, it allows healthcare leaders to make informed treatment decisions based on the insights gained from all datasets, as well as evaluate patient behavioral patterns and trends across the industry.

 

Scientists and researchers can also benefit from SAP HANA as it processes massive amounts of unstructured healthcare data faster and without any discrepancies. SAP HANA can even integrate unstructured datasets with structured data in the in-memory platform to help users perform required analysis in real-time. Likewise, predictive analytics by SAP HANA can help clinicians figure out the right targeted therapy to address the specific healthcare needs of patients.

 

For instance, if the genetic markers of a patient, which relate to a specific inherited condition, are recorded in the medical record, the clinician can understand the predispositions and ensure that the patient undergoes regular screening. Similarly, performing predictive analyses with SAP HANA can help the clinician to recommend healthier lifestyle habits that may delay or change the course of the particular inherited disease.

 

As more and more studies on genome-wide association with disease are being carried out these days to find the link between specific genetic variants and certain conditions, SAP HANA can be a great solution to perform timely diagnosis and deliver the right treatment. Besides, as SAP HANA combines native predictive algorithms with in-memory analytics within the platform, it can also simplify the comparison of specific genetic variants based on how a certain disease affects individuals.

 

Aside from that, SAP HANA can also predict patient volume in a healthcare unit at any given time. This can help healthcare organizations to analyze facilities and arrangements against the expected number of patients to make informed decisions, such as maintaining supplies, adjusting bed capacity, ensuring proper stocking of critical devices, and more. Meanwhile, doctors can also explore all the possible treatments and therapies for incoming patients quickly to ensure faster, high-end care.

 

Employing SAP HANA in the Healthcare Sector

An SAP HANA implementation allows healthcare organizations to innovate above the limits of a database management system and find the best solutions for real-time, effective decision making. Coupling that with advanced analytics and predictive analysis gives healthcare companies the right tools to deliver tailored, next-generation care services. And since SAP HANA also integrates with many other SAP solutions, clinicians can unlock the maximum potential of data and analytics to drive exceptional outcomes.

 

As the healthcare industry is working to personalize treatment and preventive care today, SAP HANA can be the perfect platform to address the challenges and push the move toward practical clinical decisions, faster diagnosis, better care, and improved cost savings. With on-site, multi-cloud, and hybrid deployments, SAP HANA is not bound by any restraints of growing data challenges either.

Sreejith Omanakuttan
by Sreejith Omanakuttan

Sreejith has been into programming since 2000, and professionally since 2007. He works on different technology stacks, ranging from the "boring" (read: tried and trusted) to the bleeding edge. He likes building, tinkering with, and breaking things, not necessarily in that order.

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