Connect Patients, Providers and Services

Healthcare IT infrastructure must serve as a method of connecting patients, providers, and services to ensure seamless quality of care. Health Services organizations are re-architecting their IT systems to store new types of healthcare data and to save on the hours required by clinicians to keep connected with patients and pharmacies. This data must be accurate to ensure patient health. As Healthcare organizations re-architect, they are also looking to dramatically reduce costs of operations and infrastructure, all while increasing services like proactively responding to “outbreaks.”

Riak takes the complexity out of building and deploying infrastructure to store healthcare data while reducing operations and infrastructure costs.

Riak is built to handle the healthcare industry’s mission-critical data. It is designed for resiliency, scale, and ease-of-operations ensuring you can grow quickly and access critical data, no matter what happens behind the scenes. This makes it an ideal fit for the healthcare industry.

Basho Customers



National Hospital Organization (Japan)

Riak for Health Services

  • Life-saving, “Always-on” Data — Downtime can put patient health at risk. Riak is designed for resiliency, and ensures that patient and provider information is always accurate and available, which can be lifesaving in many cases. Even in the event of network partitions or hardware failures, Riak continues to serve data to your applications.
  • Connect Patient and Provider Information — Virtually every patient has multiple providers. When those providers can access the same information and collaborate on a case, it improves patient outcomes. But the system needs to be up and the data needs to be accessible. Riak KV can store any type of data as a key/value, and Riak TS is specifically optimized for fast reads and writes of IoT and time series data. By default, Riak stores three copies of your data, ensuring patient, provider, and pharmacy records are accurate and always available.
  • Scale for Billions of Records — Every blood pressure reading, lab test, and physician note is a data point. The data stream is constant and requires infrastructure that can scale easily. Riak KV gives you the ability to add capacity on demand without data sharding or manually restructuring your cluster, and you can easily add nodes to add near-linear capacity as your data grows.
  • Save Clinician and Patient Time — Centralized patient records save patients from filling out the same forms repeatedly, while clinical offices avoid having to process information for patients who are already in the database. For this system to work, records need to be available. Riak is a highly optimized distributed system designed for high availability and data accuracy.
  • Control IT Infrastructure Costs — Downtime not only risks lives, but it impacts the IT budget as well. Losing nodes can be costly. Riak clusters continue to operate even if nodes fail, allowing you to replace lost nodes during normal business hours and reduce operational expenditures. Riak automatically handles failures, never loses a write, and with rolling upgrades there are no maintenance windows.


Riak KV ist das Lebenselixier der neuen Datenbank des National Health Service.

Der britische staatliche Gesundheitsdienst NHS hat vor Kurzem seine zentralisierte Datenbank SPINE ersetzt, in der alle Patientengesundheits- und Verordnungsdaten gespeichert sind. Es handelt sich um ein riesiges System, dessen Informationen mehr als 2,6 Mio. mal im Jahr abgefragt und geändert werden. Riak KV wurde nicht nur aus Kostengründen ausgewählt, sondern auch, weil es die Leistung und Zuverlässigkeit des Systems verbessert.

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Dänische Gesundheits- und Arzneimittelbehörde verordnet Riak KV.

Das dänische Gesundheits- und Arzneimittelamt hat eine gemeinsame Gesundheitskarte eingeführt, mit der wichtige Gesundheits- und Verordnungsdaten für das Land zentral verwaltet werden. Sie hat Riak KV zur Unterstützung des zentralisierten Systems ausgewählt, weil seine hohe Verfügbarkeit und Größenkostenersparnisse dazu führen, dass Mittel gezielter in die Patientenversorgung statt in große IT-Infrastrukturen fließen können.