Modern data integration strategies, technologies, and analytics have metamorphized a medley of free-floating data points into a coherent, integrated message. The colossal impact that such inventions make have transformed all industries, including healthcare and pharma.
Healthcare has utilized data integration to drive value-based healthcare models through data-driven insights. The pharmaceutical industry has leveraged data integration across the value chain ecosystem, from discovery to commercialization, to provide an aid to medicine research and clinical trials.
Data integration technologies have helped both healthcare and pharma industries to dive deep into the real world and produce meaningful insights, create a better understanding of myriad therapeutics, and directly improve patient outcomes.
Healthcare has undergone a major evolution, from a fee-for-service (FFS) model to a patient-centric, value-based model. This transition has brought the need for organizations to adopt an effective, integrated approach to evaluate patient outcomes, gauge performance & improvements, and correlate cost control measure. Modern data integration models allow non-technical members integrate data and facilitate accelerated data exchanges without external support. By allowing faster exchange of data across various departments, these integration solutions improve interoperability within a highly fragmented healthcare ecosystem.
Data integration unifies data to improve a healthcare unit’s view of patient data to drive meaningful data usage. This will break down barriers to the electronic exchange of information and enable operators to establish effective interfaces between multiple systems from multiple vendors. Plus, it abides by laws regarding data privacy and confidentiality to save healthcare data from illegal access and tampering.
Data integration has triggered a huge change in the pharmaceutical industry. The ability to derive meaningful insights from a pool of data sources helps users provide the right medicine to the right person at the right time. It leverages social media to drive patient recruitment, especially those with rare diseases and drives the ability to tap genomic data to identify biomarkers for oncology studies. Further, a feasible integration practice enables pharmaceutical companies use real-world data to generate crucial intelligence on the actual safety and efficacy of investigational drugs in the real-world environment. In short, data integration can power precision medicine and renovate clinical trials with improved insights.
Many units have leveraged data integration to improve their outcomes. For example, project data sphere, an open-access, data sharing research platform launched in April 2014, integrates patient data from a hundred thousand patients involved in cancer clinical trials to kickstart the development of critical new therapies for cancer patients.
Adeptia’s self-service based data integration approach allow users in healthcare and pharma units integrate highly sensitive patient data with confidence. By enabling non-technical users execute data integration activities (with features such as pre-built application connectors, shared templates, and monitoring dashboard), companies can drive interoperability and secure data exchanges without technical help. The integrated data environment enables researchers, developers, and providers to mine that data and generate actionable insights to support medicine research and clinical trials.
Simply put, healthcare and pharma centers can rely on Adeptia to effectively use patient-level data for generating better patient outcomes and drive research.