Insights
Overview
The Insights reporting dashboard provides a snapshot of aggregate metrics with patient drill-down functionality corresponding to key service workflows. The dashboard offers a jumping-off point for users to target specific patients meeting use-case driven criteria to help improve their health-related risks, conditions, and outcomes. It also serves as a landing page for users to define the attributed patient populations that subsequent reporting dashboards leverage in their analyses.
Click the settings icon located in the upper-left corner of the dashboard to learn more about its available features and functionality.
Filters
Patient Attribution
Filter | Description |
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Attribution Type | The source/methodology used to define a user’s attributed patients, and those patients' relationships to individual providers and/or organizations (i.e., attributed entities). For more information, visit the Attribution Type methodology section. |
Attribution Level | The category used to group similar attribution entities to establish a hierarchical relationship among the individual providers and/or organizations identified in the selected Attribution Type. This filter is conditional based on a user’s Attribution Type selection. For more information, visit the Attribution Level methodology section. |
Attribution Entity | The name(s) of the individual provider(s) and/or organization(s) corresponding to the selected Attribution Level to which patients are attributed for reporting purposes. This filter is conditional based on a user’s Attribution Type and Attribution Level selections. For more information, visit the Attribution Entity methodology section. |
MaineCare Eligible Member | The indication of whether a user’s attributed patients are active, eligible MaineCare (Medicaid) members at the time of reporting per MaineCare’s daily member eligibility file. Valid values include Yes (i.e., patients who are active, eligible MaineCare members) and No (i.e., patients who are not active, eligible MaineCare members). For more information, visit the MaineCare Eligibility Criteria methodology section. |
Chronic Condition | The indication of whether a user’s attributed patients have a chronic condition (i.e., Risk Class = Present) for the selected condition-based risk model(s). For more information about the chronic conditions available for reporting purposes, visit the Predictive Risk Modeling methodology section. |
Patient Personal Characteristics
Filter | Description |
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Sex | The sex categories of user’s attributed patients based on their most recently reported legal/insurance sex values. Valid values include Male, Female, X, and Unknown. For more information, visit the Value-Add Field Logic methodology section. |
Age Group | The age group categories of a user’s attributed patients based on their reported date of birth values. Valid values include 0-4, 5-9, 10-14, 15-17, 18-24, 25-34, 35-44, 45-54, 55-64, 65-74, 75-84, 85+, Unknown. For more information, visit the Value-Add Field Logic methodology section. |
Race | The race categories of a user’s attributed patients based on their most recently reported race values. Valid values include AIAN (American Indian or Alaska Native), Asian, Black (Black or African American), Multi (two or more races), NHPI (Native Hawaiian or Pacific Islander), White, and Unknown. For more information, visit the Value-Add Field Logic methodology section. |
Ethnicity | The ethnicity categories of a user’s attributed patients based on their most recently reported ethnicity values. Valid values include Hispanic, Non-Hispanic and Unknown. For more information, visit the Value-Add Field Logic methodology section. |
City/Town | The primary cities/towns of residence of a user’s attributed patients based on their most recently reported city/town values. For more information, visit the Value-Add Field Logic methodology section. |
Insights
Click an Insight’s value to reveal more information about it within a tooltip, including the ability to drill into the corresponding patient-detail records.
Insight | Description |
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Patients Currently | The count of a user’s unique attributed patients who were admitted to the Inpatient setting in the last 30 days and who are currently hospitalized. |
Patients Recently | The count of a user’s unique attributed patients who have been discharged from the Inpatient setting in the last 30 days. |
Patients Recently | The count of a user’s unique attributed patients who have been readmitted to the Inpatient setting in the last 30 days for an unplanned event of care. |
Patents at Elevated Risk | The count of a user’s unique attributed patients who are at very high risk of having an admission to the Inpatient setting in the next 12 months. |
Patients Recently | The count of a user’s unique attributed patients who have been discharged from the Emergency Department setting in the last 30 days. |
Patients Recently | The count of a user’s unique attributed patients who have been readmitted to the Emergency Department setting in the last 30 days for an unplanned event of care. |
Patents at Elevated Risk | The count of a user’s unique attributed patients who are at very high risk of having an admission to the Emergency Department setting in the next 12 months. |
Patients Recently Admitted | The count of a user’s unique attributed patients who were admitted to the Long-term Care setting in the last 30 days. |
Patients with Potential | The count of a user’s unique attributed patients who are at high or very high risk of mortality and who may benefit from palliative care services. |
Patients with Chronic | The count of a user’s unique attributed patients who have at least one chronic condition and who may benefit from chronic condition management services. |
Patients Not In-Control | The count of a user’s unique attributed patients who are not in control of their high blood pressure. |
Patients Eligible for National Diabetes Prevention Program | The count of a user’s unique attributed patients who are eligible for participation in the National Diabetes Prevention Program. |
Support Options
For support questions, please contact HealthInfoNet’s Customer Care team (customercare@hinfonet.org).
For training needs, please contact HealthInfoNet’s Clinical Education team (clinicaleducation@hinfonet.org).