Innovaccer Inc., a Silicon Valley- Headquartered Healthcare analytics company, will be at HIMSS 2017 in Orlando, Florida to accelerate improvements in the value-based ecosystem with its revamped proprietary product, Datashop – the operating system that powers healthcare.

Value-based reimbursement is probably the most talked-about notion in the healthcare industry. The announcement by the Department of Health and Human Services at the start of 2015 to link half of all traditional Medicare payments to a comprehensive value-based reimbursement model before 2018 concluded, followed quickly by the unveiling of MACRA accelerated the transition to quality care improvements and a value-based care world.

No value-based care model can be complete without efficient care management being the cornerstone. Developing a comprehensive strategy focusing on the patient whereabouts, health information, episode details, and accessing all the relevant information at the point of care can be a complex undertaking for any healthcare organization. There are multiple, sprawling sources of healthcare information which have produced widespread fragmentation of patient data and can lead to degraded health outcomes.

Healthcare industry, despite witnessing several health IT advancements, still has ongoing pain points that act as speed bumps along the road to value-based care. Interoperability, a much talked-about concept happens to be one of the major challenges the healthcare industry is facing. There have been many efforts and innovations over time to find better means of delivering care: enhance the data exchange between healthcare providers, improve workflow efficiencies, provide care that is truly coordinated, streamline processes, and ensure patient safety – to name a few.

As the payment landscape in the healthcare industry is shifting, aligning itself with the Triple Aim of healthcare and the financial aspect of successful outcomes shifting to value-based reimbursements, improving patients’ experience of care and getting them to make right choices about their health is the new focus in the healthcare industry. According to a paper, lack of adherence to medication, which seems like a small step accounts for 10% of total US healthcare costs. Moreover, ensuring adherence and patient engagement is a hard, aggravating task for providers.

Care management is often singled out as one of the missing pieces in the landscape of an affordable and equitable healthcare. Although care management solutions have been around for a while now, healthcare organizations in the pursuit of value-based care look for improving the patient’s overall experience of care. In worst cases, they lack information regarding a patient’s health status, their discharge information, or fail to retrieve that information on time. Often, health systems lack the proper analytics to monitor and measure the quality of care being provided to patients and plan timely interventions.

Healthcare has entered the digital age as it now focuses on gathering meaningful insights out of chunks of data and optimize their resources. About 66% of the respondents in a survey listed analytics as one of their top three priorities and 59% of them were driven by the rising costs and falling quality in healthcare. But this journey has major speed bumps along its way and finding the tool most suited to overcome rising number of silos, further establishing interoperability, and delivering better clinical outcomes in the ever-changing healthcare landscape was must.

The way we see healthcare today is very different from what it was a couple of decades ago. Back then, we did not have the technology to capture the best practices. But, today we have the capability to use medical data as a source of innovation and create impact at scale. But the question is are we capitalizing on it? Have we made the lives easier for both patients and care teams? Are we close to the goals we started chasing ten years ago?

Healthcare systems constantly find themselves looking for ways to measure and sustain their growth. Back in the day, with the traditional static reporting models, at least 80% of the entire time was spent looking for data, rather than deriving meaning out of it. Even then, the flat files that held the data required clinicians to sift through it and analyze it, and ultimately, rely on their perception over objective data points – a far cry from a value-based care world.

The shift from volume to value in the healthcare system is a crucial and requires changes in the traditional practice. Digitization in the healthcare system has oriented it to a data-driven standpoint; technology is supporting the backbone for this structure. Healthcare organizations are now looking to simplify the process and aiming to fulfill the needs and pooling in all the resources into a single interface.