Sandlot Solution's quality reporting and measures application, SandlotMetrix, helps physicians integrate care delivery and “move the needle” on quality as they transform their clinical practice in the new era of accountable care.
With SandlotMetrix, physicians are now able to improve quality outcomes before, during, and after the patient’s visit. Physicians and other clinicians can now:
- Prospectively track patients falling outside care guidelines
- Deliver care recommendations based on the patient’s electronic, longitudinal health record at the point of care
- Retrospectively monitor performance through the lens of HEDIS, PQRI, EHR Meaningful Use, and other pay-for-performance measures
Sandlot’s innovative healthcare solutions are for physicians and healthcare organizations who are dissatisfied with manual methods of managing patient quality measures and medical adherence.
Integration with SandlotConnect HIE
SandlotMetrix is integrated with SandlotConnect®, a health information exchange (HIE) solution developed and supported by Sandlot, LLC. SandlotConnect is a unique point of care solution – a blending of HIE technology with quality management tools – enabling healthcare providers to integrate care delivery and achieve measurable improvement in quality outcomes. SandlotMetrix can integrate with any source of patient clinical information, including HIEs, claims systems, or electronic medical records.
How SandlotMetrix works
Until now, physicians and healthcare organizations relied on fragmented retrospective reviews of patient data to manage care. SandlotMetrix helps ensure that doctors exceed their quality objectives by presenting patient-measures that are important to their specialty. The web tool enables physicians to determine what patients are not meeting the measures of quality care and allows doctors to take immediate action, such as scheduling a diagnostic test, ordering a procedure, e-prescribing or ordering a laboratory test. SandlotMetrix enhances the physician’s ability to treat patients more successfully at the point of care and increase patient satisfaction rates.
An effective benchmarking tool
Sandlot’s quality module also serves as a vital benchmarking tool for physicians. Doctors can determine how successful they are in meeting their quality objectives compared to national targets and other physicians using Sandlot’s HIE application, SandlotConnect. The data can help doctors develop alternative protocols to provide better overall treatment plans and cost-effective care for their patients.
SandlotMetrix supports the current Centers for Medicare & Medicaid Services (CMS) incentive program, in which payments are awarded to those physicians who satisfactorily report their specified measures during a reporting period.
Supporting the accountable care organization model
The emerging era of accountable care induces hospitals and health systems to reduce costs and improve long-term financial objectives by participating in an accountable care organization (ACO). Based on the Patient Protection and Affordable Care Act (PPACA), an ACO is described as a collaboration that includes groups of healthcare providers, hospitals, and others.
SandlotMetrix can act as the cornerstone of an ACO because of the prospective, point-of-care, and retrospective quality measurement reporting that supports a profitable and sustainable patient care organization.
Supporting insurers' business plans
From a health plan perspective, SandlotMetrix will help insurers meet their business objectives. Insurers can meet their Med-Loss Ratio (MLR) requirements by utilizing its sophisticated data analysis and population-reporting capabilities so they can be defined as a medical cost. To assist health plans in reaching CMS Five-Star status, SandlotMetrix also provides analytical data on HEDIS measures. NCQA publishes the top 20 private health plans, with similar lists for the top 10 Medicaid and Medicare plans each year. HEDIS scores are a significant factor in ranking each plan.
Contact us to learn more about implementing SandlotMetrix in your organization.
