Private cloud frees P3 Health Partners to focus on managing patient data, not Information Technology
Customer Company Size
Mid-size Company
Region
- America
Country
- United States
Product
- 11:11 Cloud Services
- 11:11 Managed Backup Services
- 11:11 Storage Replication
Tech Stack
- Windows-based servers
- VMware environment
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Cost Savings
- Productivity Improvements
Technology Category
- Infrastructure as a Service (IaaS) - Private Cloud
- Infrastructure as a Service (IaaS) - Cloud Storage Services
Applicable Industries
- Healthcare & Hospitals
Services
- Cloud Planning, Design & Implementation Services
- Data Science Services
About The Customer
P3 Health Partners is a health population management group founded and led by physicians who want to shift the focus from managing illness to cultivating wellness. Founded in 2015, P3 has operations in Nevada, Oregon, Arizona and Florida, where teams of people— from doctors and clinicians to support service professionals—share a passion and purpose to improve patient care. Today, P3 extends its realm of care to more than 100,000 total patients, 65,000 of whom are in a Medicare Advantage (MA) plan. P3's mission is to help the three Ps — providers, physicians, and practices — move from traditional, volume-based models to value-based systems of care and wellness. As a population health management company, P3 contracts with health plans and other organizations to gather and analyze mountains of clinical and administrative data. Armed with that information, they can identify at-risk members of the population, so patients and providers can work together to improve overall health.
The Challenge
P3 Health Partners, a health population management group, was facing several challenges. They needed a multi-layer security system to protect their health information and systems. They also had massive volumes of data to store and back up. With a small workforce, they needed supplemental support. The data-intensive processes involved in population health management also called for a high level of IT performance, as well as a solution with the capacity to back up nearly eight terabytes of data, representing 11 years of health records. With employees and customers relying on P3 data, having a highly available, fully recoverable environment was an imperative. And, for a company only two years old with a small IT staff, keeping costs down was important.
The Solution
A hosted private cloud in a [11:11] data center provides the dedicated performance, high availability, and tight security P3 needs. Cloud pricing keeps costs in line as the company grows and adds more services. Nearly 400 employees spread across four states connect to applications and data in the cloud, comprising hundreds of Windows-based servers running in a VMware environment. The physical and virtual security features of a [11:11] data center elevate P3’s security posture. Multiple layers of firewalls within the private cloud infrastructure further fortify protection, readying P3 for safeguarding patient data, even amidst increasing threats. Each year, P3’s environment receives certification from the Health Information Trust Alliance (HITRUST). To let P3 staff attend to other priorities, [11:11] manages the hardware infrastructure, up to and including the operating system, as well as patches and updates. For uninterrupted access, [11:11] backs up critical systems hourly, while others are backed up nightly. The full environment, including the eight terabytes of medical records, is backed up weekly.
Operational Impact
Quantitative Benefit
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.