By using data to understand the nonhealthcare, unmet needs of consumers, providers can do more to influence the health of people and communities. Data is being used to determine the relative risk of patients across SDOH domains and to prioritize health outcomes disparities to be addressed by programs for asthma, anxiety, or diabetes.
Outcomes:
Mission fulfillment, healthier communities,
and effective public-private relationships
Advance health
equity agendas
Click through the graphic to learn more.
Engaging patients
across the continuum
Network adequacy
and resource allocation
Advance
health equity agendas
Patient-centered, whole-person care
Enhanced quality
and safety
5 Consumer
Data Use Cases
Leading intelligence platforms are providing organizations with longitudinal records of care that
help provide an understanding of where patients
are going for primary care, urgent or emergency
care, specialty clinics, and other services.
Outcomes:
Care optimization, patient retention,
and improved clinical outcomes
Engaging patients across the continuum
Data helps organizations manage their operations and coordination between acute and ambulatory settings to fully understand their patient utilization and capacity. Network analytics are used to determine the next sites of care and apply it to workflow and deployment.
Outcomes:
Cost savings through efficiency, more seamless
patient experiences, consumer loyalty, and data
to drive new care models
Network adequacy
and resource allocation
The COVID-19 pandemic, including workforce exhaustion and shortages, is driving notable drops
in quality and safety scores across the industry.
As organizations rebound from this, data will help assess clinical variation and identify the patients
most at risk when there is a lack of safety. Safety is
an organizational assessment as much as it is an individual patient assessment. Having safety data democratized across the organization is the
foundation of building a culture of safety.
Outcomes:
Decreased unwarranted variation lowers mortality
rates and readmissions and improves patient safety
Enhanced quality
and safety
Leading organizations are aggregating electronic health records (EHR), biometric, claims, and other data to predict the likelihood of disease, not just in populations, but in individuals. This information combined with social data and consumer preferences revolutionizes how providers engage with patients and their ability to tailor care to address their unique needs.
Outcomes:
Improved patient experience, consumer loyalty, and clinical outcomes; Consumer Assessment of Healthcare Providers and Systems (CAHPS) improvements
Patient-centered, whole-person care
By using data to understand the nonhealthcare, unmet needs of consumers, providers can do more to influence the health of people and communities. Data is being used to determine the relative risk of patients across SDOH domains and to prioritize health outcomes disparities to be addressed by programs for asthma, anxiety, or diabetes.
Outcomes:
Mission fulfillment, healthier communities,
and effective public-private relationships
Advance health
equity agendas
Leading intelligence platforms are providing organizations with longitudinal records of care that
help provide an understanding of where patients
are going for primary care, urgent or emergency
care, specialty clinics, and other services.
Outcomes:
Care optimization, patient retention,
and improved clinical outcomes
Engaging patients across the continuum
Data helps organizations manage their operations and coordination between acute and ambulatory settings to fully understand their patient utilization and capacity. Network analytics are used to determine the next sites of care and apply it to workflow and deployment.
Outcomes:
Cost savings through efficiency, more seamless
patient experiences, consumer loyalty, and data
to drive new care models
Network adequacy
and resource allocation
The COVID-19 pandemic, including workforce exhaustion and shortages, is driving notable drops
in quality and safety scores across the industry.
As organizations rebound from this, data will help assess clinical variation and identify the patients
most at risk when there is a lack of safety. Safety is
an organizational assessment as much as it is an individual patient assessment. Having safety data democratized across the organization is the
foundation of building a culture of safety.
Outcomes:
Decreased unwarranted variation lowers mortality
rates and readmissions and improves patient safety
Enhanced quality
and safety
Leading organizations are aggregating electronic health records (EHR), biometric, claims, and other data to predict the likelihood of disease, not just in populations, but in individuals. This information combined with social data and consumer preferences revolutionizes how providers engage with patients and their ability to tailor care to address their unique needs.
Outcomes:
Improved patient experience, consumer loyalty, and clinical outcomes; Consumer Assessment of Healthcare Providers and Systems (CAHPS) improvements
Patient-centered, whole-person care
Advance
health equity agendas
Engaging patients
across the continuum
Network adequacy
and resource allocation
Enhanced quality
and safety
Patient-centered, whole-person care