Top Data Trends & Developments within Healthcare Landscape
Written By: Olivia Klayman

The healthcare industry is one of the most financially lucrative and important delineations of business, to date. While technological advancements within the landscape continue to evolve, their data architectures seldom do. It is essential that healthcare organizations are able to adapt with the rapidly evolving market dynamics, regulatory forces, and consumer demands. This next wave of data complexity within this digital era calls for the same innovation and modernization to revitalize the offerings they produce.

 These are the top data trends and developments to lookout for in the Healthcare space…

 Cloud Services & Migration. Healthcare enterprises must adopt an agile infrastructure if they wish to revamp their organization’s status. It not only innovates their business, but also enables users to connect patient data networks with partners, as well as improve population health analytics. Cloud-based Technologies offer organizations a flexible, low-cost infrastructure to efficiently handle and scale business operations of any volume and complexity. In turn, this functionality generates operational efficiency, business productivity, and growth opportunities.

 Application & Platform Modernization. Organizations that modernize their legacy applications and systems are at a superior advantage, relative to their competitors. It entails updating some or all of an enterprise’s technology stack (i.e., data warehouses, platforms, and applications), to better support their goals and initiatives. Institutions that are able to migrate with less downtime and optimized costs often experience greater success. Healthcare professions need fast applications and systems that support connectivity. Legacy system modernization is also crucial in securing compliance. When utilizing a modernized data framework, applications remain up-to-date and integrated for even the most sophisticated analytic workloads. What’s more, it also helps businesses overcome the scale, cost and performance challenges posed by traditional data warehouses.

 Machine Learning & AI. Being better than your competitor is no longer significant enough to sustain an edge in the market. The power of Machine Learning and Artificial Intelligence can be highly valuable in anticipating customer behavior, predicting potential company revenue impact, accelerating forecasting, and outperforming competitors with modernized data solutions. This gives way to the solidification of predictive and prescriptive analytic models across various business segments. This aligns healthcare organizations with their business operations, goals, and retained long-term customer relationships. It also creates a foundation that enables business users to automate manual and time-intensive processes. This not only has cost and time saving implications, but also delivers invaluable insights in near real-time.

 Big Data. Big Data revolutionizes the potential of healthcare analytics. Championing architectures optimized for big data (i.e., data lakes, cloud-based solutions, etc.) can assist healthcare provider organizations with the integration of internal & external clinical, patient, and research evidence data across the entire organization. Coined “Evidence-Based Care,” patient data is cleaned, indexed, and stored. It is the compilation of patient data, external personal health data, and even geographic data. For example, this access to a more holistic level of granularity supports more accurate cost predictions relative to population density. Big Data and Analytic solutions play a huge role in helping healthcare providers manage the volume and complexity of their data. In turn, HCPs (HealthCare Providers) are able to deliver improved patient care, reduced risks, and strengthened bottom lines.

 Systech Solutions previously collaborated with a nursing-facility group to establish a comprehensive Information Management Framework. This framework would ultimately facilitate the exchange of data and information for internal and external use across the organization. Through the power of Big Data and Analytic solutions, Systech would ultimately deliver the data framework for business users to practice evidenced-based, cost-effective patient care by expanding its health information exchange (HIE) infrastructure and capabilities.

 The Future of Healthcare Analytics… The potential of data advancements within the healthcare landscape are limitless. Whether a client is interested in shifting or upgrading their EMR systems – or integrating their health record networks – there is absolutely no reason to delay a data transformation journey.

 Healthcare analytics have proven to be invaluable with Patient Data Management, Sales, Marketing, and Population Health Management. This industry-wide propensity toward a customizable, personalized offering delivers an enhanced patient experience with increased customer engagement. This not only generates tangible revenue, but also establishes a polished reputation and legacy for the years to come.

 Explore Systech’s blog series to stay informed and up to date on the latest innovations within the data and analytics space, click here.


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