Overcoming information overload in the ICU

Topics

At a glance

Need

Extracting meaningful insights from the massive amount of data produced in the intensive care unit (ICU) may create a cognitive burden on clinicians, and contribute to medical errors.[1]

Solution

IntelliSpace Console is a patient-centered clinical decision support dashboard that aggregates and analyzes data from medical devices, hospital information systems, and the electronic medical record, to give a dynamic display of a patient’s condition.

Benefits

Studies in the Journal of Medical Systems and Applied Clinical Informatics showed that systems showing consolidated data into organ systems like IntelliSpace Console contributed to improvements such as[2][3]:

55% reduction in medical error
44% reduction in cognitive load
50% reduction in ICU length of stay
37% reduction in hospital stay

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Intelligent dashboard delivers organ-based insights to critical care clinicians to support informed and efficient decisions

Health systems are seeking to better address the vast amount of data available in the intensive care unit.

IntelliSpace Console Critical Care extracts high fidelity data from multiple systems, including the electronic medical record, pharmacy systems, and lab systems. It consolidates those data sources and analyzes them to present an organ-based summary of the clinically relevant information when and where it is needed. It is designed to be organized around the way clinicians think and collaborate, helping them to get relevant information from large amounts of data.

Patient care in the ICU has been estimated to generate more than 1200 data points per patient per day.⁵

Information overload could result in communication failures and errors of omission, which may affect patient outcomes. Systems like IntelliSpace Console that organize data into organ systems are designed to improve performance and efficiency in the ICU.^2,6

Compared to a traditional EMR, use of systems that create an organ-based dashboard - as IntelliSpace Console does - reduced time to task completion, provider cognitive load, and medical errors when viewing patient health data of critically ill patients.^2,6

Developed in collaboration with clinical and research partners

IntelliSpace Console is the result of a multi-year clinical study and research collaboration between Philips, US decision support software company Ambient Clinical Analytics, and the Mayo Clinic under the product name AWARE8 (Ambient Warning and Response Evaluation).

Together with the United States Critical Illness and Injury Trials Group, these organizations received support from the Center for Medicare and Medicaid Innovation (CMMI) to research the impact of using AWARE, the technology that was evaluated in the Journal of Medical Systems study.

Sources:

Saitwal, H., Feng, X., Walji, M., Patel, V., & Zhang, J. (2010). Assessing performance of an electronic health record (EHR) using cognitive task analysis. Int J Med Inform, 79, 501–506. And Zhang J., Patel V. L., Johnson K. A., & Smith, J.W. (2002). Designing human-centered distributed information systems. IEEE Intelligent Systems, 17, 42–47 Note: By reducing the time and burden to task completion and provider task associated with this task, it is anticipated that electronic environments designed in accordance with human-centered principles may increase their adoption and unlock their potential to have a positive impact on patient safety.
Pickering, B. W., Herasevich, V., Ahmed, A., & Gajic, O. (2010). Novel representation of clinical information in the ICU: developing user interfaces which reduce information overload. Appl Clin Inform, 1(2), 116-131.
Olchanski, N., Dziadzko M. A., Tiong, I.C., Daniels, C.E., Peters, S.G., O’Horo, J.C., & Gong, M.N. (2017) Can a Novel ICU Data Display Positively Affect Patient Outcomes and Save Lives? Journal of Medical Systems, 41, 171. https://link.springer.com/article/10.1007%2Fs10916-017-0810-8
Pickering, B.W., Dong, Y., Ahmed, A., Giri, J., Kilickaya, O., Gupta, A., Gajic, O., & Herasevich, V., 2015. The implementation of clinician designed, human-centered electronic medical record viewer in the intensive care unit: a pilot step-wedge cluster randomized trial. International Journal of Medical Informatics, 84(5), 299-307.
Manor-Shulman, O., Beyene, J., Frndova, H., & Parshuram, C. S. (2008). Quantifying the volume of documented clinical information in critical illness. Journal of Critical Care, 23(2), 245-250.
Ahmed, A., Chandra, S., Herasevich, V., Gajic, O., & Pickering B.W. (2011). The effect of two different electronic health record user interfaces on intensive care provider task load, errors of cognition, and performance. Critical Care Medicine, 39, 1626-34.
Makary, M. A., & Daniel, M. (2016). Medical error-the third leading cause of death in the US. British Medical Journal (Online), 353.
ProCCESs AWARE - Patient Centered Cloud-based Electronic System: Ambient Warning and Response Evaluation. https://clinicaltrials.gov/ct2/ show/NCT02039297.