Diagnostic Informatics-The Role of Digital Health in Diagnostic Stewardship and the Achievement of Excellence, Safety, and Value.

Diagnostic investigations (pathology laboratory and medical imaging) aim to: increase certainty of the presence or absence of disease by supporting the process of differential diagnosis; support clinical management; and monitor a patient's trajectory (e. g., disease progression or response to treatment). Digital health can be defined as the collection, storage, retrieval, transmission, and utilization of data, information, and knowledge to support healthcare. Digital health has become an essential component of the diagnostic process, helping to facilitate the accuracy and timeliness of information transfer and enhance the effectiveness of decision-making processes. Digital health is also important to diagnostic stewardship, which involves coordinated guidance and interventions to ensure the appropriate utilization of diagnostic tests for therapeutic decision-making. Diagnostic stewardship and informatics are thus important in efforts to establish shared decision-making. This is because they contribute to the establishment of shared information platforms (enabling patients to read, comment on, and share in decisions about their care) based on timely and meaningful communication. This paper will outline key diagnostic informatics and stewardship initiatives across three interrelated fields: (1) diagnostic error and the establishment of outcomes-based diagnostic research; (2) the safety and effectiveness of test result management and follow-up; and (3) digitally enhanced decision support systems.

Monitoring health IT integration--the effect of an EMR on laboratory service timeliness across six Australian hospitals.

The Electronic Medical Record (EMR) incorporates computerised provider order entry systems which allow clinicians to order diagnostic tests electronically, thus eliminating the need for cumbersome handwritten orders. In many situations the EMR relies on a manual transition of information across systems (e.g., integration with the Laboratory Information System). This study, based in a laboratory setting requiring such a transition across systems, aimed to compare the data entry time (from when a specimen arrives in the Central Specimen Reception [CSR] area of the laboratory, to when it is forwarded on for processing), along with a laboratory turnaround time (TAT) (from the time a specimen is received to the time a verified result is issued) for paper and EMR orders, for two high volume tests, across six hospitals. Results showed that the median data entry time for all hospitals combined, was three minutes shorter for EMR entered orders than paper orders. This difference was consistent and significant for Electrolytes, Urea, Creatinine (EUC) and Automated Differential (including full blood count) tests in 2010 and 2011. These decreases contributed to significantly lower median Laboratory TATs for EMR orders (for EUC tests the difference in medians was 12 minutes in 2010 and six minutes in 2011; for Automated Differential tests, the difference was four minutes in 2010 and two minutes in 2011).

Examination of changes in pathology tests ordered by Diagnosis-Related Group (DRGs) following CPOE introduction.

Electronic test ordering, via the Electronic Medical Record (EMR), which incorporates computerised provider order entry (CPOE), is widely considered as a useful tool to support appropriate pathology test ordering. Diagnosis-related groups (DRGs) are clinically meaningful categories that allow comparisons in pathology utilisation by patient groups by controlling for many potentially confounding variables. This study used DRG data linked to pathology test data to examine changes in rates of test ordering across four years coinciding with the introduction of an EMR in six hospitals in New South Wales, Australia. This method generated a list of high pathology utilisation DRGs. We investigated patients with a Chest pain DRG to examine whether tests rates changed for specific test groups by hospital emergency department (ED) pre- and post-EMR. There was little change in testing rates between EDs or between time periods pre- and post-EMR. This is a valuable method for monitoring the impact of EMR and clinical decision support on test order rates.