Roswell Park Cancer Institute uses LexisNexis® MarketView™ for Precision Physician Outreach
Company Size
1,000+
Region
- America
Country
- United States
Product
- LexisNexis MarketView
Tech Stack
- Claims-Based Market Intelligence
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Customer Satisfaction
- Productivity Improvements
Technology Category
- Analytics & Modeling - Data Mining
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Healthcare & Hospitals
Applicable Functions
- Business Operation
- Sales & Marketing
Services
- Data Science Services
- System Integration
About The Customer
Roswell Park Cancer Institute (RPCI) is the nation’s first cancer center, established in 1898. Located in New York, RPCI is renowned for its multi-disciplinary approach to cancer care, which necessitates frequent interactions with providers across the state. The institute has a robust physician outreach program aimed at driving referrals to their cancer program and strengthening relationships with other medical practices and practitioners. As a model for cancer research institutions and treatment facilities, RPCI continues to demonstrate resilience and sustainability by recognizing the importance of data-driven decision-making. The institute's commitment to leveraging advanced data analytics to improve operational efficiency and patient care makes it a leader in the healthcare industry.
The Challenge
With ever-tightening reimbursements, providers around the country are competing for patient volume to sustain their organizations. Through physician outreach programs, one health care provider attempts to attract referrals from other providers in the same service area. Physician outreach programs can be inefficient and wasteful if they aren’t targeting the right kind of practitioners. This can waste time for the physician liaison, prospective referring physician and lead to wasteful spending for ineffective outreach. Without data to support and focus outreach efforts, Roswell Park had an insufficient view of the practitioners who were seeing and treating patients they wanted to attract. This lack of insight created operational waste and inefficiency. Physician liaisons couldn’t differentiate between an ideal practitioner relationship and a less essential one. When all practitioners looked the same from an outreach standpoint, it was difficult to prioritize time and outreach expenditures. Roswell Park recognized a need for data to help them prioritize their physician outreach efforts and ensure they were targeting the most appropriate practitioners.
The Solution
Roswell Park Cancer Institute turned to LexisNexis MarketView, a claims-based market intelligence product, to address their physician outreach challenges. MarketView provided Roswell Park with access to a vast repository of deidentified medical claims, which included diagnosis and treatment data from various practitioners. This allowed Roswell Park to gain insights into the networks of surgeons and understand the origins of specific types of referrals. By evaluating the breadth, depth, and flexibility of the medical claims dataset, Roswell Park determined that MarketView was the best fit for their needs. The Business Development team at Roswell Park used MarketView data to uncover blind spots, improve precision in targeting, and refine their outreach messaging. MarketView identified which practitioners outside of Roswell Park were treating the types of patients targeted by the institute, allowing them to focus their outreach efforts on high-value providers. Additionally, the flexibility of the data enabled Roswell Park to conduct more granular targeting and tailor their messaging based on physician loyalty metrics. This comprehensive approach helped Roswell Park improve the efficiency and effectiveness of their physician outreach program.
Operational Impact
Case Study missing?
Start adding your own!
Register with your work email and create a new case study profile for your business.
Related Case Studies.
Case Study
Hospital Inventory Management
The hospital supply chain team is responsible for ensuring that the right medical supplies are readily available to clinicians when and where needed, and to do so in the most efficient manner possible. However, many of the systems and processes in use at the cancer center for supply chain management were not best suited to support these goals. Barcoding technology, a commonly used method for inventory management of medical supplies, is labor intensive, time consuming, does not provide real-time visibility into inventory levels and can be prone to error. Consequently, the lack of accurate and real-time visibility into inventory levels across multiple supply rooms in multiple hospital facilities creates additional inefficiency in the system causing over-ordering, hoarding, and wasted supplies. Other sources of waste and cost were also identified as candidates for improvement. Existing systems and processes did not provide adequate security for high-cost inventory within the hospital, which was another driver of cost. A lack of visibility into expiration dates for supplies resulted in supplies being wasted due to past expiry dates. Storage of supplies was also a key consideration given the location of the cancer center’s facilities in a dense urban setting, where space is always at a premium. In order to address the challenges outlined above, the hospital sought a solution that would provide real-time inventory information with high levels of accuracy, reduce the level of manual effort required and enable data driven decision making to ensure that the right supplies were readily available to clinicians in the right location at the right time.
Case Study
Gas Pipeline Monitoring System for Hospitals
This system integrator focuses on providing centralized gas pipeline monitoring systems for hospitals. The service they provide makes it possible for hospitals to reduce both maintenance and labor costs. Since hospitals may not have an existing network suitable for this type of system, GPRS communication provides an easy and ready-to-use solution for remote, distributed monitoring systems System Requirements - GPRS communication - Seamless connection with SCADA software - Simple, front-end control capability - Expandable I/O channels - Combine AI, DI, and DO channels
Case Study
Driving Digital Transformations for Vitro Diagnostic Medical Devices
Diagnostic devices play a vital role in helping to improve healthcare delivery. In fact, an estimated 60 percent of the world’s medical decisions are made with support from in vitrodiagnostics (IVD) solutions, such as those provided by Roche Diagnostics, an industry leader. As the demand for medical diagnostic services grows rapidly in hospitals and clinics across China, so does the market for IVD solutions. In addition, the typically high cost of these diagnostic devices means that comprehensive post-sales services are needed. Wanteed to improve three portions of thr IVD:1. Remotely monitor and manage IVD devices as fixed assets.2. Optimizing device availability with predictive maintenance.3. Recommending the best IVD solution for a customer’s needs.
Case Study
HaemoCloud Global Blood Management System
1) Deliver a connected digital product system to protect and increase the differentiated value of Haemonetics blood and plasma solutions. 2) Improve patient outcomes by increasing the efficiency of blood supply flows. 3) Navigate and satisfy a complex web of global regulatory compliance requirements. 4) Reduce costly and labor-intensive maintenance procedures.
Case Study
Harnessing real-time data to give a holistic picture of patient health
Every day, vast quantities of data are collected about patients as they pass through health service organizations—from operational data such as treatment history and medications to physiological data captured by medical devices. The insights hidden within this treasure trove of data can be used to support more personalized treatments, more accurate diagnosis and more advanced preparative care. But since the information is generated faster than most organizations can consume it, unlocking the power of this big data can be a struggle. This type of predictive approach not only improves patient care—it also helps to reduce costs, because in the healthcare industry, prevention is almost always more cost-effective than treatment. However, collecting, analyzing and presenting these data-streams in a way that clinicians can easily understand can pose a significant technical challenge.