Centralizing insights from multiple systems, The first step toward actively managing clinical quality
Data collection and analysis lies at the center of improving clinical quality and striving toward the triple aim of healthcare. That being, improving the patient experience of care (including quality and satisfaction), improving the health of populations; and reducing the per capita cost of health care.
Success in achieving these goals depends on an active participation in managing quality. Quality is quantified by complex “quality measures” that vary from contract to contract, payer to payer, and provider to provider.
Analyzing and comparing similar metrics across providers, groups or TINs provides opportunity to uncover areas of improvement. Medical leadership can more easily ensure that similar care is delivered in a similar manner across the organization.
In order to manage this, practices need specific tools. These tools, at their heart, should be based on solid technology and ease of use. From a practical standpoint, they need the ability to aggregate and validate clinical quality data with an analytics engine specifically tailored to clinical quality management.
Because no 2 practices interact with their EMR technology in the same way, aggregating the necessary data can be difficult. Critical details and data points can be in structured fields, notes, or PDFs attached to the patient record. Because of these individualities, aggregation requires experts in both the programmatic requirements and the data elements necessary to measure quality performance.
This process is made even more complex if there are multiple EMR systems in use. Managing a diverse patient panel across multiple systems can cause tremendous burden on already stretched resources.
ReportingMD has experience in merging data across multiple EMR systems in a way that allows seamless performance and less burden on administration and technology resources. We provide real-time actionable insights and enable communication across the network to coordinate care pathways.
With an easy-to-use interface and universal compatibility, ReportingMD has provided a single platform, from which multiple data sources can be merged into a rich data asset.
ReportingMD enables high quality, complete, and up-to-date population health data assets based on normalized clinical EMR data, adjudicated claims-based data, SDoH, and other sources.
The process starts with creating an enterprise healthcare data asset — one that your providers trust and can use daily to support important care decisions and address key challenges. Large, disparate datasets are processed in near real-time thanks to the ReportingMD Data Connector. Our 18-years of EHR and Claims data experience make this connection seamless and precise.
By effectively unifying claims and clinical data onto a single platform, ReportingMD helps simplify data collection, so that you can get on with the business of healthcare.
Our team, tools and technology help uncover and create actionable insights, and coordinate information throughout the organization. By identifying at-risk populations and costly gaps in care, our Total Outcomes Management (TOM™) platform powers quality management for thousands of providers.
TOM™ is cloud-based, ONC Certified, and HIPAA-compliant. This powerful analytic platform is specially built with best-in-class technology to support the needs of healthcare organizations with high availability data ingestion, computation, and storage.
Merging disparate data into a single platform, TOM™ is built on rock-solid technology. With the power to manage multiple TINs and drill-down to the individual patient encounter, TOM™ provides real-time actionable insight.
ReportingMD solutions provide a 360-degree view of your population. The flexible measure calculation-engine provides a clear view of provider performance against any payer measure, CQM, eCQM, Stars / HEDIS®, or custom measures and benchmarks.
Learn why thousands of providers rely on ReportingMD and our Total Outcomes Management (TOM™) platform.