Among the Fortune 500 and Global 500, MongoDB customers include 6 of the top healthcare companies.

Companies in the healthcare industry are finding themselves hamstrung by rising costs, changing regulations and complex technological demands. Traditional systems are not only expensive but also poorly-equipped to handle the industry’s twenty-first century needs for scale, cost efficiency and flexibility. Companies in the healthcare industry – including insurers, hospitals and solutions providers – are building applications on MongoDB to reduce costs, meet compliance standards and improve healthcare outcomes.

Example Healthcare Solutions

360-Degree Patient View. Healthcare provider networks have massive amounts of patient data and metadata, which often comprise a patchwork of siloed systems and technologies. It is increasingly challenging to store the variety of structured and unstructured data required, from basic patient information and medical histories to lab results and MRI images. Further, the lack of centralization makes it challenging for healthcare professionals and patients to access the right information at the right time. Using MongoDB, healthcare providers can create a single application that provides a 360-degree view of the patient, aggregating patient, doctor, procedure and other types of information in a single data store. By liberating patient data from silos, healthcare provider networks can serve more patients in less time, reduce the potential for malpractice and improve healthcare outcomes.

Population Management for At-Risk Demographics. Certain populations are known to be prone to certain diseases. For instance, men over a certain age are more likely to have specific types of cancer. Insurers can reduce the incidence of preventable catastrophic health events among its patients using advanced population management applications. By distributing these apps to their customer bases, insurers help people take preventative measures – like reminding them to get regularly scheduled colonoscopies – to improve health outcomes and reduce healthcare costs. This not only helps insurers reduce costs and expand margins, but also provides a normative good to the general population.

Lab Data Management and Analytics. The rise in both the number of tests conducted and the variety of data collected puts a strain on traditional technological systems. The lack of flexibility in these systems is holding companies back from the realizing potential breadth and depth of analysis that they could achieve with this data, like real-time analytics and visualizations. With MongoDB’s flexible data model, providers of lab testing, genomics and clinical pathology can ingest, store and analyze a variety of data types from numerous sources all in a single data store. Doing so not only drives significant savings on infrastructure and licensing costs, but also enables these companies to generate new insights and revenue streams through the new applications they can build on top of MongoDB.

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Other use cases for MongoDB in healthcare include:

  • Fraud Detection
  • Health Applications, such as Remote Monitoring and Body Area Networks
  • Mobile Apps for Doctors and Nurses
  • Pandemic Detection with Real-Time Geospatial Analytics
  • Electronic Healthcare Records (EHR)
  • Advanced Auditing Systems for Compliance
  • Hospital Equipment Management and Optimization
  • Featured Presentations
Accelerating Pharmaceutical R&D with MongoDB
Jason Tetrault, AstraZeneca Deniz Kural, Seven Bridges Genomics