Accountable Care Organization Solutions

Accountable Care Organizations (ACOs) face significant challenges when transitioning from the fee-based healthcare models to value-based healthcare models while at the same time trying to attain significant financial performance improvements and quality care for patients. It is always difficult to balance all those aspects and have everything rolling in the desired direction.

For one, Accountable Care Organization Solutions success and sustainability strongly depend on factors such as;

  • Effective data management,
  • Precise documentation,
  • Measure attainment,
  • Quality performance,
  • Risk score accuracy, and
  • Submission capabilities.

It also depends on how good they are at proactive population management as well as the integration of unique strategies that help improve financial and clinical results in this fast changing healthcare industry.

Accountable Care Organizations and Data Analytics

Data analytics offer a compact solution to most of the challenges faced by ACOs in the achievement of their goals. Advanced data analytics help ACOs achieve meaningful impact in clinical and quality outcomes by enabling them to assess and analyze care management as well as financial performance in healthcare organizations. This, in turn, enables them to conclusively deduce tactics that help in improving standards of care while simultaneously maintaining cost efficiencies.

Here are the key aspects of data analytics in ACOs that you should be keen to note about;

Data Analysis and Reporting

This is one of the key aspects to consider when looking at ACO solutions. An ACO’s ability to manage, integrate and analyze data from the various sources in a healthcare organization such as claims, benefits, lab results, patient reports,  and hospital ADT data (Admit discharge and transfer data) among others, is essential to attaining significant progress in quality improvement, quality measurement, analysis and reporting, risk score accuracy and care harmonization.

When looking for a tech company to help you with data analytics, this is a crucial aspect to consider. Ensure that you understand in detail how their systems will help your organization in delivering and executing interventions that drive high impact and value.

Quality Analytics and Improvement

Quality management through strategic and improved analytics as well as targeted interventions help in delivering improved quality scores. With the right partner, ACOs can even be able to get patient and provider predictive analytics. Predictive modeling of provider, patient, and organization level data with other variables such as patient behavior, provider effectiveness, and region benchmark helps identify gaps in care delivery.

Plus, with continuous analysis which is data-driven, it is easy to carry out precise targeting and therefore rest assured that the right interventions will be made for the right patient, in the right place, and at the right time.

Shared Savings Accuracy

With the right partner providing you with data analytics services, you can be able to maximize the shared savings by just accurately assessing and recording the health status of your patient population. And by proactively assessing data-driven patient risk profiles, analytics help ensure there is accuracy in the capturing of patient risk scores within the adjusted calculations and therefore expand the pool of shared savings.

Quality reporting and submission

Quality reporting and submission of clinical outcomes to the Medicare Shared Savings program helps other ACOs participating in the program to access the information and use it in aiding their course. With a good data analytics company, your ACO will be linked up to plenty of electronic medical records as well as traditional paper-based records, all of which are reviewed and prepared to make the going easy for you.

These are just but a few of the many aspects of accountable care organization solutions. It is therefore apparent that for an ACO to achieve its goals while also observing all the state and federal requirements, data analytics are crucial.