Clinical decision support system to improve treatment plans for patients with critical illness

Clinical decision support system to improve treatment plans for patients with critical illness

Clinical decision support system to improve treatment plans for patients with critical illness

Clinician Decision Support System by Tark

About Client

Leading hospitals specializing in emergency and intensive care, dedicated to saving lives and improving patient outcomes. Their expert clinicians work tirelessly to provide immediate, personalized treatment to critically ill patients. Seeking innovative solutions to streamline workflows and enhance real-time patient monitoring.

Business Challenges

Hospitals providing emergency and intensive care face a pressing challenge when admitting patients with critical illnesses to the intensive care unit. With limited time to prepare and execute treatment plans, it becomes crucial to closely monitor patients’ evolving conditions and assess the likelihood of multiple organ failure.

However, the process of predicting organ failure based on various health vitals and reports proves to be an arduous and time-consuming task. This challenge creates a bottleneck in delivering timely and effective care to critically ill patients, jeopardizing their chances of recovery.

They wanted to revolutionize the monitoring and prediction of organ failure for hospitals’ intensive care units which can help clinicians stay informed about patients’ progressing conditions and intervene promptly to mitigate the risk of multiple organ failure.


This solution efficiently gathers patient health data from various EHR systems and enables seamless integration. By analyzing the collected information, it provides physicians with valuable indicators to:

  • Identifying existing organ failure.
  • Assessing the likelihood of organ failure.
  • Recommending suitable treatments or diagnoses based on the patient’s health information. Furthermore, it tracks the temporal evolution of organ failure probability, aiding in trend detection over time.


The implemented solution empowers physicians by offering the following benefits, enabling them to effectively manage patient care, make informed decisions, and optimize treatment plans with ease.

  • Intuitive User Interface: The system utilizes human-centered design principles to create a user-friendly dashboard. Through effective information architecture and responsive layouts, physicians can easily navigate and access critical patient data, ensuring a seamless user experience.
  • Advanced Data Analysis Algorithms: By leveraging sophisticated data analysis techniques, the solution processes patient health data to detect patterns and trends. This includes employing machine learning algorithms, statistical models, and data mining techniques to provide valuable insights into the patient’s health progression.
  • Interoperability and Integration: The solution implements robust interoperability standards, such as HL7 and FHIR, to seamlessly integrate with diverse Electronic Health Record (EHR) systems. This allows for efficient and secure data exchange, ensuring compatibility and reducing integration complexities.
  • Extensible Architecture: The system adopts a modular and extensible architecture, adhering to software engineering principles like loose coupling and high cohesion. This enables the seamless integration of additional research and analysis algorithms, making it easier to enhance the system’s functionality and accommodate future advancements.

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