An operating system (commonly referred to as OS) is system software that manages both a computer hardware and software resources and provides common services for computer programs. There are different types of operating systems built for different tasks and used in different industries. For example, the time-sharing operating systems schedule tasks for efficient use of the system and may also include accounting software for cost allocation of processor time, mass storage, printing, and other resources. There is also a Data Operating system which is usually used in the healthcare industry. The Healthcare data operating system has several attributes. There are seven major attributes of a data operating system and they are:

  • Reusable clinical and business logic:
    Registries, value sets, and other data logic lies on top of the raw data and can be accessed, reused, and updated through open APIs, enabling third-party application development.
  • Streaming data:
    Near or real-time data streaming from the source all the way to the expression of that data through the data operating system, supporting both transaction-level exchange of data and analytic processing.
  • Integrates structured and unstructured data:
    Integrates text and structured data in the same environment. Eventually, incorporates images, too.
  • EHR Integration The methods for expressing the knowledge in the data operating system include the ability to deliver that knowledge at the point of decision-making, including back into the workflow of source systems, such as an EHR.
  • Microservices architecture:
    In addition to abstracted data logic, open microservices APIs exist for data operating system operations such as authorization, identity management, data pipeline management, and software application telemetry. These microservices are built specifically to enable third-party applications to be built on the data operating system.
  • Machine Learning:
    The data operating system natively runs machine learning models and enables rapid development and utilization of these models, embedded in all applications.
  • Agnostic data lake: Some or all of the data operating system can be deployed over the top of any healthcare data lake. The reusable forms of logic must support different computation engines.

Other Types of Operating Systems

  • Real-time operating system
  • Single- and multi-user Operating System

Real-time operating system

A real-time operating system is an operating system that guarantees to process events or data by a specific moment in time. A real-time operating system may be single- or multi-tasking, but when multitasking, it uses specialized scheduling algorithms so that a deterministic nature of behavior is achieved. An event-driven system switches between tasks based on their priorities or external events while time-sharing operating systems switch tasks based on clock interrupts data operating system has the power to solve extremely common problems for healthcare organizations, with a solution that:

  • Enables and simplifies the upcoming tsunami of data requirements for population health and risk-based payment models. Only 8 percent of the data required for precision medicine and population health resides in today’s EHRs.
  • Improves physician and care provider satisfaction by providing the right data, at the right time, in the right modality.
  • Leverages legacy data warehouses without the need to replace them.
  • Accelerates the benefits of mergers, acquisitions, and partnerships through rapid and granular data integration of the new organization.
  • Enables Personal Health Records (PHR) for patients in an unprecedented way, including portability of the data from one care delivery system to another.
  • Provides an orders-of-magnitude less expensive strategic option to “rip and replace” for integrating disparate EHRs with a single vendor solution.

Single- and multi-user operating system

Single-user operating systems have no facilities to distinguish users, but may allow multiple programs to run in tandem. A multi-user operating system extends the basic concept of multi-tasking with facilities that identify processes and resources, such as disk space, belonging to multiple users, and the system permits multiple users to interact with the system at the same time. Time-sharing operating systems schedule tasks for efficient use of the system and may also include accounting software for cost allocation of processor time, mass storage, printing, and other resources to multiple users.