Every healthcare initiative underpins primarily on the organizational ability to access and analyze trusted, secure data. The way healthcare data is handled apparently determines the quality of patient care.
In doing so, they must be aware of the key strategic initiatives that share the potential of delivering remarkable outcomes; improve patient care and experiences, reduce enterprise risk, and promise high operational efficiency.
Here are the three ways healthcare can maximize their data usage to deliver top-notch patient care.
Enabling Data Access and Healthcare Integration
The first step of most health data management initiatives is to furnish maximum data access coupled with an ability to integrate it without difficulty. Having standards speed this step allows uses to access and streamline the process of integration.
Healthcare integration solutions can help organizations savor that and handle disparate data (even the siloed ones) as well as use the insightful information to deliver value.
With the proliferation of medical data including electronic health records (EHR), healthcare units now have increased access to more valuable data than ever before. Thanks to the initiatives driven by HL7, the door to accessing healthcare’s data silos has finally opened.
Organizations today can easily leverage a modern data integration tool to harness the true potential of healthcare data. The merger of transformative technologies such as AI and ML have increased the precision and speed of outcomes further. Not only are they helping medical units analyze data faster but also using the information to deliver delightful patient experiences.
Most of these solutions offer self-serve capabilities that enable even non-technical users to dig out useful information from patient data. People in the value-chain (with albeit limited technical competency) can look directly at data streams through intuitive screens and dashboards and make data onboarding connections by only pointing and clicking through easy screens. Data engineers and analysts, at the same time, are freed up from day-to-day implementation but continues to serve in a high-level governance role, managing the integration environment while being freed from tedious and thankless API coding and EDI mapping.
Further, the introduction of AI in mapping healthcare data has changed the game. Users can leverage machine learning algorithms to predict and map myriad data faster – without waiting for the IT resources to intervene. Meanwhile, IT can focus on more high-value tasks which, in turn, helps organizations ride the innovation wave.
Suffice to say, it is important for units to have a resilient healthcare data integration system in place in order to deliver the best quality patient care. Self-service-powered data integration solutions empower users to integrate patient data in minutes - securely and accurately.
Improving Quality of Healthcare Data
After integrating data, it’s important to ensure its accuracy or integrity. Maintaining data quality has been a challenge for quite a long time. However, this is of utmost importance as trustworthy data is integral to delivering safe, high-quality and cost-effective care.
A lot of healthcare integration tools help organizations maintain data quality by providing an end-to-end encrypted environment. In this environment, only authenticated users are allowed to access data, and so the risk of breaches are reduced to a minimum. These mature solutions are capable of serving real-time, proactive data quality requirements to boot. And with the cloud, AI and ML gaining surge, the authenticity and scalability of data have reached new heights.
Delivering a Single Source of Truth
Not quite so long ago, healthcare units struggled with ensuring a single source of data (e.g., patient, member, location). It was fraught with risks and too and often delivered less value than anticipated.
With disruption in technology, it’s easier for companies to provide a single source of truth and extract value out of it – at speed and scale.
People associated with healthcare can easily use AI and ML-powered technologies to consolidate all the interaction data that exists across social, Internet of Things (IoT) devices, and multiple other external sources with the internal, reference, and master data. And this is how organizations can fetch an elusive 360-degree view of their data.
With improved integration competencies, better healthcare data standards as well as technological innovations such as AI and ML, healthcare giants can embrace a path to data freedom to delight more patients than ever!
About the Author,
Chandra Shekhar is a technology enthusiast at Adeptia Inc. As an active participant in the IT industry, he talks about data integration, and how technology is helping businesses realize their potential.
