Epidemiology framework used in DesignerData 1.0 helps to understand the impact of demographics, behavioral and metabolic risk factors on cardiovascular outcomes. The data is visualized, stratified as distinct age/race/ethnicity/sex/smoking categories. Extent of disease in each strata is quantified as number, percentage of people, and prevalence estimates.

 

Improve Cardiovascular Health: It helps to prioritize a group of people with multiple related chronic conditions Vs. people with emerging disease conditions such as pre-diabetics and pre-hypertensives, who hold promise for persuasion so that their condition can be reversed in three months. People with existing chronic conditions like (uncontrolled hypertension, diabetes) who require clinical interventions, long term management, and lifestyle changes. These are high touch individuals who need more interaction with clinicians, behavioral therapists for self-management of their multiple chronic conditions.  High risk people with multiple conditions (Hypertensives, Diabetics, and with one or more cardiovascular event such as stroke, heart attack) who needs to be monitored closely to prevent complications, hospitalizations, re-admissions and mortality due to cardiovascular outcomes.

Population Health Management:  Intuitive easy to use interface, allows one to of groups document the outcomes as immediate (emergency hospitalizations) ii) intermediate (BP control) iii) long term ( chronic disease control) to empanel patients to practice site.

Target Disease Prevention activities:  Measuring how often the disease occurs, allows clinician to understand the characteristics of a population- who is getting the disease, where is it occurring, and how is it changing over time. This further helps to target primary and secondary prevention strategies, understand the effectiveness of prevention and treatment activities.

Disease determinants and identify adverse outcomes: Designer data provides information on the factors that bring about change in person’s health, that could be social, community needs both causal or preventative thus giving a holistic view.

Informing and Engaging: Encourage patients to engage in their own health helps to identify risk factors for poor health outcomes and also the factors that facilitate positive outcomes. Programs can be developed to prevent/promote these risk factors and evaluate impact of a specific intervention.

Internet of things, Health Trackers, Monitors and Sensors: Designer Data when integrated into personal health trackers, monitors and sensors can be an up-close and personal tool to the people in need, such as diabetics to monitor their insulin levels, connect to many devices to monitor changes in real-time.

Accountable Care Quality measures: It enables a one to measure success, quality of heath care, results of treatment. The all-inclusive view/information can be assessed by care teams, executives, managers, and business analysts for self-service and interactive data visualizations. In fact, the measures used in DesignerData cover several domains of ACO such as Care coordination, Patient Safety, and preventive health.

Details on demand: Enriched and aggregated information about population, that can hone into discrete patient level, can be leveraged by the payer and providers to track patients and develop patient relationships. Examples of such relations that can be customized include: send emails/text messages, ensure regular engagement with care teams/follow-ups/maintain healthy habits with predefined rules-based alerts, automated alerts, outreach, interactive patient portal. Total view across various reporting needs: Supported by one database the customizable user-interface can be tweaked to provide total view across payers, federal agencies, public health, clinicians and patients.

Patient Engagement: Visualization of data helps patients to understand disparities and variations and begun acting on data for personal improvement. It empowers patients to take responsibility for health, manage health through life style changes, obtain care and testing. It encourages people to understand on the relevance of screening, behavioral change and the ramifications of cardiovascular disease burden.

Recovery and Rehab: Implement life style changes, monitor the rehab and support the entire Care Delivery Value Chain.