Axeor Solutions helps hospitals establish the capabilities outlined in the services section. In so doing, we address issues that are specific to the healthcare sector, including:

  • Revenue, reimbursement and deduction planning
  • Volume and driver-based expense planning
  • Payer and service mix planning

For smaller and less complex hospitals, such capabilities are typically more than adequate. However, in larger and more complex hospitals, this isn’t always the case. Health care reform, declining reimbursements and greater focus on cost reduction, has exposed gaps in traditional planning and performance management processes. These processes must be able to collaboratively engage physicians, clinicians, finance and operations staff (from different disciplines, departments and entities) to uncover and prioritize significant, and often less obvious opportunities, to simultaneously improve quality, service and cost.

Axeor Solutions understands how to help hospitals achieve this and to extract value from widely acknowledged sources:

  • Treatment Plans: Reduce variability by quantifying the cost and profitability of individual plans and comparing between physicians.
  • Implants and Devices: Reduce costs by quantifying how implants and devices affect the total cost of a treatment plan, together with their impact on hospital economics.
  • Supply Chain: Reduce total supply costs, by quantifying how devices provided by vendors impact the economics individual hospitals and hospital networks.
  • Physician and Service Line Profitability: Align physician compensation with the revenue they generate, by considering treatment plans costs, as well as referrals and ancillaries.
  • Asset Optimization: Optimize how hospital facilities, operating rooms and equipment are used to minimize process costs and maximize throughput, quality, profits and cash flow.
  • Revenue Management: Prevent billing errors, omissions and denials before they occur, rather than just identifying and correcting them after they happen.

Genome Processing & DNA SequencingDNA

Sequence one genome using standard technology generates about 100GB of compressed data. Hadoop eco-system  can make it affordable for scientists to process and store this data, helping to reduce the cost of sequencing a genome.

Big Data solutions make it possible for life sciences organizations to process DNA information cost-effectively and at scale by simplifying Hadoop deployment and management.

Quality & Cost Analysis

If healthcare and life sciences companies can integrate patient data, drug effects data, clinical data, R&D data and financial records, they’re more likely to identify patterns that drive better, more proactive healthcare. Furthermore, if healthcare companies can share blinded patient data and integrate social media content into their data management systems, they’ll have an even deeper pool of information from which correlations can be made.

We offer a solution that makes it easier for these organizations to bring together large volumes of detailed data from numerous sources, in a variety of formats, into a single, flexible and scalable system for long-term storage and analysis.