An Operational Framework for the Adoption and Integration of New Diagnostic Tests

• DOI: 10.1111/poms.13263
• Publication Date: 2020-09-01T14:10:53Z
• Authors: Pengyi Shi; Jonathan E. Helm; H. Sebastian Heese; Alice M. Mitchell
• Keywords: Bridge (graph theory)

The gap between medical research on diagnostic testing and clinical workflow can lead to rejection of valuable in a busy environment due increased workloads, or the laboratory that may be practice misunderstanding system‐level benefits new test. This has implications for organizations, test manufacturers, hospital managers among others. To bridge this gap, we develop Markov decision process (MDP) from which create “adoption regions” specify combination characteristics must achieve feasible adoption practice. address curse dimensionality patient risk stratification, decomposition algorithm along with structural properties shed light patients when should used. In case study partner Emergency Department, show conventional myopic criterion poor making both development particular, find specificity—long secondary consideration often overlooked process—is, fact, key effective implementation tests into environments. approach overvaluing undervaluing research. mismatch is accentuated simple (current) policy used integrate compared our MDP’s policy—poor also unnecessary rejection. Our framework provides easily interpretable guidelines decisions guide as focus improve chances adoption.