Patient Modeling with Multiple Conditions considerations (Co-morbidities)

The traditional decision support environment identifies patients based on the reason for admission. Patients are only identified as having a singular condition.

The graph below shows the traditional view of demands upon clinical services.

As everyone has known all along, this under represents the true scope of services being rendered.

In actuality, two-thirds of all patients have multiple conditions (co-morbidity),

which effect resource consumption, utilization and impact the length of stay (LOS). Costs associated with multiple conditions are not linear.

HCI, along with the physician perspective, defines the expected cost and LOS and specific resources used by patients with any combination of conditions with the associated fiscal implications.


Patient modeling is an integrated view that transcends the needs of executive, operational managers and clinical leaders providing a consistent view of patient care needs and resources.

HCI shows actual system volumes of demand for services.

  • There are twice as many Cardiac patients in a hospital being served for other conditions as recognized by the reimbursement system.
     
  • There are three times as many patients with Psychiatric conditions that significantly impact resource consumption.
     
  • 4 to 5 as many Endocrinology (Diabetes) patients as traditionally shown.
  • Oncology, Pulmonary, Gastrointestinal all have twice as many patients as traditionally seen.
     
  • The only services that are not significantly affected are Maternal care and Transplants.

HCI uses the physician's perspective of clinical pathways and defines 860 clinical management categories across 46 clinical modules. HCI's system defines practically all diagnostic conditions that physicians recognize, treat and utilize.

When applied to traditional administrative databases these methodologies identify a strong seasonal component for each clinical service and cost center utilized.

HCI's analytical patient modeling system, properly identifies your patients and the resources they use.