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As healthcare moves toward value-based care, population health management is emerging as the delivery model needed for success.
FREMONT, CA: Population health conventionally has focused on things like hospitalization rates, epidemiological surveillance, and aggregate trends across groups of people and regions, rather than merely focusing on a person. As modern health systems recognize that non-health services are also critical to whole person population health, the communities need a more complete, accurate, and a clear view of population health services. To implement population health management successfully, healthcare firms need to rely on technology. Here is how technology can improve population health management.
• Improving Chronic Disease Management
Electronic Health Records enable healthcare professionals to handle chronic patients effectively. According to the report, only 6 percent of clinicians had access to the EHR data. This makes it difficult for clinicians to take a population health management approach to treat patients with chronic illnesses. EHR data is mostly unstructured, making it complex for stakeholders to analyze. An optimized EHR with all patients' data with chronic symptoms will help care providers identify high-risk patients and offer them more personalized care.
• Offering Preventive Care
Healthcare providers can use big data analytics and predictive modeling to ensure that the patient does not fall into the high-risk category. Solutions that provide hospitals with analytics can identify high-risk patients who need immediate medical care. It provides clinical decision support tools and predictive models to support the care managers and the ICU staff to prioritize care and offer timely treatment to critical patients. It also helps hospitals with outpatient analytics, so care providers can determine the patient's level of care. This reduces the burden of care providers and also saves the patient’s cost.
• Engaging with Patients
Once care providers identify the high-risk and low-risk patients, they can design the engagement accordingly. Sometimes chronically ill patients may need more complex and integrated care from different specialists. Healthcare professionals will have to proactively find such patients and develop an ecosystem to offer more personalized care. Data analytics plays a key role in creating meaningful engagement with patients. Analyzing patient data will help in creating tailor-made engagement with patients and offer integrated care.