Advanced Accountable Care Organizations Solutions
Accountable Care Organization (ACO) analytics refers to the use of data and analytical tools to measure, evaluate, and improve the performance of an ACO in delivering high-quality, cost-effective care. Owing to the models that ACOs operate with, they need to identify the right sources for useful data, aggregate it, and find meaningful insights across different areas. These areas span across care provisioning, cost management, contracting, utilization, performance, and quality. As the objective is to ensure savings through effective preventive care, they need to gain access to data through ACO analytics that resides within their network and outside. Below are a few areas of relevance for the management team of an ACO enterprise.
Contract Management
It is imperative to know per patient per month performance, utilization metrics and their performance on all 33 measures for ACOs to gain visibility into their performance. This visibility into the data will help them negotiate their contracts with the payer better.
Network Management
ACOs need to optimize their composition and ensure that patients do not venture out of their network. Here, they should understand the referral patterns, sources of out-of-network payments, patterns in the health of populations, predict demand for services and optimize their physician networks accordingly.
Care Management
They must follow the care transitions, re-admissions, comprehensive discharge planning, and notify and educate patients in a timely manner.
Quality
The financial success of an ACO is tied to its performance on the quality indicators prescribed by the CMS. Unlike other programs where a dip in the performance gets penalized in the form of penalties at the end of the year, ACOs are at a greater risk as their business model ties their ineffectiveness to their finances more closely. Hence, it becomes imperative for the ACO leadership at all levels to monitor their performance on all 33 measures and ensure that they address areas impacting their performance.
Data challenges faced
Given the breadth of responsibility that ACOs bear, the amount of data they need to analyze is huge. As the focus is on the whole continuum of care for each patient, they need the complete picture in order to be effective. This means that they need data from Primary care settings, specialty care, Labs, Pharmacies, Payers, Long term care facilities, behavioral health, home health, hospices, patient surveys among other similar sources. To add to the challenge it isn’t unusual to find an array of systems within the ACOs. Given the number of hospitals, practices and other facilities that form an ACO enterprise, it is difficult to have one single system. As a result, ACOs find themselves dealing with many different EHRs within their network and end up exchanging data with those outside.
As the number of systems exchanging information increases, seamless data flow within the enterprise is a dream at best. The IT teams of ACOs struggle to make sure that nothing breaks in the system. As not all these systems were designed to facilitate exchange of data, the mechanisms employed to get access to the data from this array of systems differ. In some cases this data is made available through APIs, CDA documents or the more traditional HL7 interfaces.
More often than not, this data is aggregated in data warehouses periodically and then made usable through data marts. Maintenance of infrastructure to ensure extraction of this data is a task that requires constant monitoring as the data quality may not be consistent across the source systems.There are numerous occasions when these HL7 interfaces break and the data flow stops.
While the ACOs face all these challenges on a daily basis, there are also added pressures of cost and time. There is a need to achieve these objectives faster, better and cheaper while ensuring that the quality isn’t compromised.
As the view of the data in each of these systems is different, one needs to put an effective data governance framework in place to ensure that this data is usable. The motivations and perspectives of end users differ based on their role. The same data may have different meaning for a case manager and a CFO in an ACO. While the data in question may be clinical, financial, operational or quality related, the way it is interpreted and the actionable derived from it may be different for each end-user. Hence there is a need to analyze the same data differently depending on the objective of the end-user. This requires an understanding of the persona and perspective. Analytics teams in ACOs are constantly chasing these objectives to satisfy this myriad of end-user needs.
While the ACOs face all these challenges on a daily basis, there are also added pressures of cost and time. There is a need to achieve these objectives faster, better and cheaper while ensuring that the quality isn’t compromised.
While the IT teams grapple with the challenge of making data available from all these systems available to the users at the right time, there are perpetual and frequent requests from the management to make sense of this data. Even though most solutions aim to fulfil the need for a variety of reports, there are frequent occasions when end-users need adhoc reports. The number of people in an ACO requiring these ad-hoc reports keeps the analytics teams busy. The choice of tool for visualization can be instrumental in addressing such needs. However, not all ACO enterprises are lucky when it comes to powerful visualizations. As a result, the IT teams are stretched and the end-users spend too much time making sense of the data.
While the ACOs face all these challenges on a daily basis, there are also added pressures of cost and time. There is a need to achieve these objectives faster, better and cheaper while ensuring that the quality isn’t compromised.
How can We Help through Accountable Care Solutions?
At Nalashaa, we understand that while data governance is a mundane task within the IT department of ACO enterprises, it is without doubt one of the most important ones. Without visibility into the data, ACOs would be flying blind, and their existence would be in question. ACO data analytics and statistics can help organizations gain insights that drive informed decision-making. While most ACOs either have a COTS solution or have built one of their own, these solutions demand significant manpower to keep them running. Maintenance and enhancement of these can prove to be an overwhelming task given the scarcity of qualified resources who understand the data and the ecosystem.
We have been working with EHR vendors and helping them integrate with surrounding systems. We understand the nature of the data, the meaning of the data, the standards employed in the exchange of it, and the motivations of the end users when they work with this data. ACO data analytics also allows us to interpret trends and patterns to optimize care delivery. We realize that cost and responsiveness are two major considerations for an ACO enterprise. Through our global teams, we can help you achieve your business objectives faster by acting as an extension of your own team. We can empower your enterprise by:
- Building bridges across systems to facilitate data exchange
- Maintaining the interfaces across these systems to ensure smooth data flow across the enterprise
- Putting a data governance framework in place that harness the true value of the data
- Leverage powerful tools to help you analyze this data
- Employ pattern analysis and predictive modelling techniques for trend analysis and forecasting
- Use enterprise class tools to deliver intuitive and insightful visualizations for end-users