Healthcare enterprises are hard-pressed to transform their business digitally. However, orchestrating healthcare processes and renovating archaic technology models can be quite a challenge for them. Enterprises evaluate multiple vendors, choose a transitioning model and set up a cross-functional team for strategizing the transformation. However, their teams face same old problems and they revert to the old workflows. The change becomes daunting to initiate because of integration issues. Enterprises can strategically address these problems with the help of integration.
Reasons Why Healthcare Digital Transformation is a Grand Challenge?
The computational power in the healthcare industry has quadrupled over the years because of frequent innovations. Some of the new technologies to mention are genome sequencing, imaging sensors, internet technologies, etc. These systems are generating huge piles of data in functional silos. Their data remains in heterogeneous & semi-structured formats and models which is difficult to be comprehended. Visualizing this data can be a grand challenge for enterprises relying on conventional methods for storing and collecting data. This data can’t be fed into a CSV or Excel format.
In many cases, enterprises don’t have a single view of all technologies. They fail to get a runtime view of technologies on different paradigms. Connecting legacy and cloud-based technologies on the cloud becomes a grand challenge. Developers build integrations without knowing that what other team members are building. They build something and ultimately change something else. They spend several months of time in building integrations and unintentionally change the functioning of another code. Teams face outages and downtimes whenever there are updates in the underlying IT network.
Another relevant challenge is processing the data into a Big Data warehouse. Without data integration, teams don’t get the ability to study clinical research data at scale. On the contrast, precision with analytics comes from the scale of study. If the data is not big enough in size, doesn’t come from a wide variety of sources then teams can draw wrong conclusions. Therefore, enterprises should be able to bring data to the right place at the right time. Organizations have too much data that can be difficult to process.
An Enormous Advantage: Integration Can Bolster Uberization of Healthcare
Uber has redefined the way we book a travel and set up an entirely new industry. The organization has done this successfully without inventing a single piece of technology. Uber has layered different pieces of technologies into a unit. Similar layering has relevance for the healthcare industry as well.
Start-to-End integration can change a reactive sick care into a proactive sick care. Moreover, it can turn our smartphones into our new hospitals where evidence-based decision making will help physicians in delivering research-based care to the patients. Doctors can use digital diagnosis tools to check patients remotely and provide a prescription to them in less than 30 minutes. In this way, enterprises can cut down sick care drastically. An integration tool helps enterprises in building integrations thrice as strong as the manual integrations. Teams can engineer more value out of IT by integrating high-throughput healthcare systems.
Integration provides a drift-to-drive approach for digital transformation. It returns the right answer to IT complexity and establishes a smoother symbiosis between people, processes, and technologies. It and business teams can work in a more coordinated manner to improve business outcomes.
About the author: Chandra Shekhar is a technology enthusiast at Adeptia Inc. Adeptia Inc. is a Chicago-based B2B data integration company with more than 18 years of experience in delivering self-service business connectivity & data integration solutions. As an active participant in the IT industry, Shekhar often likes to talk about data, integration, and how technology is helping businesses realize their potential.
Edited by
Ken Briodagh
