Such an understanding derived from advanced data analytics can aid physicians in making timely and informed decisions and improving patient outcomes.
Ultimately, an integrated critical care informatics architecture will be required that includes acquisition, synchronization, integration, and storage of all relevant patient data into a single, searchable database (numeric and waveforms) and data processing to extract clinically relevant features from raw data and translate them into actionable information .
Understanding the dynamics of critical illness requires precisely time-stamped physiologic data (sampled frequently enough to accurately recreate the detail of physiologic waveforms) integrated with clinical context and processed with a wide array of linear and nonlinear analytical tools.
This is well beyond the capability of typical commercial monitoring systems.
Data retrieval and storage were also mentioned as positive results of the new HIS system.
While there have been major improvements in intensive care monitoring, the medical industry, for the most part, has not incorporated many of the advances in computer science, biomedical engineering, signal processing, and mathematics that many other industries have embraced.
Hospital Information Systems (HIS) can improve healthcare outcome quality, increase efficiency, and reduce errors.
The government of Malaysia implemented HIS across the country to maximize the use of technology to improve healthcare delivery, however, little is known about the benefits and challenges of HIS adoption in each institution.
There is limited medical device interoperability and integration with the electronic medical record (EMR) remains incomplete at best and cumbersome.
In addition (and partly as a result of these limitations), standard analytical approaches provide little insight into a patient’s actual pathophysiologic state.