An engaged patient plays a more empowered role in deciding on a plan for their care, which can lead to better overall outcomes. Better patient engagement also can lead to the optimal allocation of resources needed to achieve those outcomes. Integrating data insights into existing clinical workflows enhances and drives that engagement.
With these insights, healthcare providers, payers, pharmacies and life sciences organizations can support individual well-being, effective treatments and an improved patient experience.
When a patient is willing to fully engage in their treatment, both they and the provider can enjoy a number of benefits. Outcomes can be dramatically improved when a patient is invested and aware of the impact of medications, follow-up appointments and preventative steps.
When a person is involved in the decision-making, management of medical conditions and medication adherence, there is potential to lower costs for both parties. Patient engagement can create:
LexisNexis Risk Solutions provides data and advanced analytics to empower your organization to facilitate and strengthen meaningful patient engagement. Our data insights can be integrated into existing systems or workflows to enhance patient engagement strategies.
Through this data integration, your organization can see a broader view of a person - beyond that one encounter - leading to a more holistic approach to care management. Here are some key considerations for achieving optimal patient engagement from a data perspective:
Ensure a Single Source of Truth
for Each Patient
Maintain Current and Accurate
LexID for Healthcare
Our LexID® for Healthcare solution appends a set of unique, non-SSN based identifiers to each patient record, matching and merging duplicate medical records into one golden record per person.
Having an individual’s information in one record ensures proper patient care, prescription management and treatment programs. This can improve patient safety and simplify administrative processes, which in turn can lower costs.
Utilize Social Determinants of Health Data
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