Data pervades everything from diagnosis to treatment. Data aggregation and standardization enable deep clinical insights that support prompt, personalized decisions for patients.
Data pervades everything from diagnosis to treatment. Data aggregation and standardization enable deep clinical insights that support prompt, personalized decisions for patients.
Integrating data drives efficiency in clinical decision-making and fuels analytics that can present new insights to the best possible patient treatments. Access to aggregated data from disparate sources drives the efficiency of a multidisciplinary team and its tumor board meetings. It is this efficiency that can improve clinician experience while reducing healthcare resource utilization.
Clinical decision support (CDS) tools using integrated data platforms can transform healthcare with:
Aggregated, structured data allows clinicians to shift their focus to the patient.
Systems interoperability and integrated data can translate into more detailed discussions, more collaborative decisions and more patients reviewed.
For patients, this means timely determinations about their care, more targeted therapy and hope during one of the most crucial moments in their lives.
While the promise of CDS is great, it is dependent on the technology solution, the data powering it and effective implementation in the clinical workflow.
say unstructured data is a key obstacle to improved systems interoperability2
of unstructured data is not accessible for patient care decisions2
Several sources of clinical and non-clinical data may be leveraged to inform CDS output. These include:
With the capture and integration of today’s data, we can personalize care in new ways. The convergence of medicine and technology enables a deeper understanding of how to treat individual patients.
links lab results and all other relevant patient information for review, discussion and treatment decision-making in multidisciplinary team meetings. The outcome is what patients need: the right treatment at the right time.
To make the best treatment decision, we have to apply the latest medical knowledge to a patient’s medical history, personal preferences and circumstances, test results, images, reports and other information. [Decision Support portfolio] elevates our efficiency and confidence by aggregating these resources.
Richard Hammer, MD
Vice-Chair of Pathology, University of Missouri
References & notes
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