A
system and related techniques automatically generate optimized, best-match or sufficient assignments of care providers, such as physicians, nurses or technicians, to a patient based on
clinical evidence,
documentation,
workload, infectious status and other factors. In embodiments, the patient's chart or other
clinical record may be accessed by a rules-based engine configured with rules which relate a patient's clinical status and needs to the qualifications, certifications, capabilities and skills of care providers and select the care provider best qualified to service that patient's clinical requirements. The
pool of available care providers may for example be ascertained from personnel systems recording staff schedules and estimated
workload, while the qualifications of each provider indicating the categories of
patient care and support that provider is qualified to provide may be accessed from a provider
data store. For instance, nurses or technicians trained or certified in acute, emergency or
surgical care may be identified for assignment to high acuity patients, or those presenting special or advanced care demands. According to the invention in a further regard, the provider's potential infectious
exposure to other patients or from other sources may be screened to prevent that provider from being assigned to immune-compromised or other patients. Embodiments of the invention may present floor managers with a
graphical display of available providers and generated assignments, which in embodiments the manager may override at their clinical discretion. Because patient needs are automatically aligned with provider capabilities, availability and other factors, the errors, oversights and inefficiencies of manual or informal assignment systems are avoided and better health care delivery can be realized.