AI Patient Prioritization

AI Patient Prioritization helps identify patients that may benefit from short-term follow up and intervention.

Artificial Intelligence (AI) powered Patient Prioritization is an advanced feature that assists care teams in identifying adult (greater than or equal to 18 years of age) patients that could benefit most from immediate intervention, potentially improving outcomes and preventing unplanned emergency department visits.

The feature is powered by a predictive model that analyzes demographics, medical conditions, symptoms, lab results, vital signs, procedures, and medications to determine whether a patient would benefit from immediate intervention. Patients are ranked as High, Medium, Low, or No Data, and rankings are displayed in the Opportunity column on the Patients view. The top 10 percent of patients are labeled as High; the central 80 percent as Medium; the bottom 10 percent as Low. Patients ranked as No Data do not have a score available in the system.

Hover over the ranking to view recommended actions for the patient and key factors that contributed to the ranking.

The AI Patient Prioritization rankings are intended for teams who are focused on reducing acute care utilization. Quality managers can use these rankings to make decisions about scheduling outpatient visits to reduce the risk and associated cost of acute care utilization. The model is intended to be a decision-support tool and is not a substitute for the clinical expertise or judgement of healthcare professionals.

If these rankings do not apply to your role, you can hide the Opportunity column from view. See View the Patient List View the Patient List for information on customizing the Patient List view. The prioritization model is not currently available for international customers.

The AI Patient Prioritization model is powered by a predictive algorithm that uses the data elements listed below. This data is refreshed and patient prioritization is updated every 24 hours.

Data Element	Description
Condition	Presence of clinical condition, problem, diagnosis that is discretely captured within the last 180 days.
Medications	Identification and definition of a medication, including its ingredients, that was prescribed, dispensed, or administered (individually or in combination) to the patient within the past 100 days.
Patient Demographics	Gender, race, ethnicity.
Procedures	Discrete procedure documented within last 60 days.
Results	Discrete lab results recorded within last 14 days.
Vital Signs	Discrete vital signs within last 14 days.
Patient Population	Patient age is greater than or equal to 18 years of age as of today’s date.  Patients must meet one of the following criteria: Fewer than three outpatient, extended care, or telehealth evaluation and management visits within the past 24 months. Two or more ED, inpatient, or urgent care visits within the past 24 months.
Patient Exclusion	Patients who are deceased any time before the end of the current measurement period. Patients in hospice care within last 30 days. Patient with problem = Pregnancy without Pregnancy Completion.  Patients who have not had an encounter in 365 days.