Gain Preventive Insights with Population Health Management Data Analytics

Population health analytics is one of the highly important software solutions for healthcare providers. Population health analytics helps to identify the patient populations and their needs for care. The solution helps to measure the care provided to these patient populations and to help deliver the best care to them as earliest.

Effective data integration and data acquisition play a vital role in population health data analytics by enabling high value, strategic and data-driven decision-making, while speeding up the process. OSP’ population health analytics solutions use the late-binding data model for faster and efficient data acquisition of multiple data sets. Our custom-made population health data analytics acquires claims data, EHR data, social and community determinants of health, patient-generated health data, and medication data.

As value-based care has become the primary goal of healthcare providers, the population health analytics companies are gaining massive traction. For effective population health management data analytics, the risk stratification helps to segment the patient population into high, moderate and low health risk tiers.

As per the need, OSP can customize the population health analytics solutions with smarter risk stratification models including Hierarchical Condition Categories (HCC), Adjusted Clinical Groups (ACG), Elder Risk Assessment (ERA), and Chronic Comorbidity Count (CCC). Our tailored population health analytics software solutions can target patients at various levels of risk to keep them aligned with their specific care plans. The population health analytics can help you predict risk scores, creating patient-specific care plans, and understanding population health trends.

Patient cohort identification is finding the risk of developing any specific disease or health results by a group of people that share common characteristics or specific experience. For the better efficiency of population management, identifying the patient cohorts is highly crucial. OSP’ population health management data analytics has the potential to quickly identify and manage such cohorts out of the given set of the population to determine the best clinical processes to focus on improvement efforts.

To simplify analytics in population health management, we leverage ‘Pareto Analysis Technique’ to the acquired population health data to identify the care processes that are highly effective, affordable and quick. Population health analytics solutions offered by us can help you asses the entire risk-based population to identify the specific cohorts such as high-risk patients, patients with chronic disease, and patients in need of proper screenings and primary prevention interventions.

Population health management (PHM) means offering data-driven care are population level. Most population health analytics companies find PHM a problematic process as insufficient data integration and encounter-based medicine. OSP can customize population health analytics software that can meet the needs of ACOs, FQHCs, PCMHs, and other collaborative care settings.

PHM can deliver optimized care models, recognize higher-risk patients, and constituents which define patient’s health based on intelligent aggregated data analytics. We can offer population health analytics software solutions that can improve population treatment, enhance care workflows, and engage patients to deliver value-based care. We also ensure the integration of legacy EHR with PHM for accurate patient health update from admissions to post-acute care.

Highly-advanced and provider-friendly patient synopsis report help to assess the medical summary of any specific patient through the population data.  OSP’ custom population health management analytics can help to search both structured as well as unstructured patient EHR data rapidly. The clinically relevant data is presented in a single-view summery for the providers for better understanding.

Our population health management analytics ensures custom patient data templates that offer providers an opportunity to manage, store and use the patient data efficiently. The consolidated report of a patient’s medical history including previous medical diagnoses, emergency room visits & hospital stays, chronic care management, and medication can be achievable through our population health management data analytics.

Visualizing the right data in the right time can enhance the outcomes of analytics in population health management. The gathered and analyzed data is presented through visualizations, dashboards, and graphs that accurately and consistently to help end-users correctly represent the patient history behind the data.

Being one of the leading population health analytics companies, OSP provides custom-made dashboards, interactive visualizations, charts, and graphs to drill down into the data sources contributing to data analytics in population health management. Our population health analytics solutions can offer you the ability to take the right action on information through smartly presented reports that are visually pleasing and easy to understand.