Reporting Dashboards
Overview
HealthInfoNet’s Health Analytics Reporting Platform (HARP) contains a suite of use case-driven analytics tailored over the years in collaboration with our HIE participants to yield actionable insights.
Common ways in which our analytics are leveraged include to:
Monitor patients with frequent readmissions or at greater risk of readmission to Inpatient and Emergency Department settings to inform proactive care management.
Better target care for patients with chronic conditions in order to help them prevent medical complications and increased hospitalizations.
Identify patients most at risk for future medical conditions, events, and utilization in order to help them avoid unnecessary encounters, tests, and procedures.
Identify gaps in quality measurement to help put performance improvement plans in place quicker.
Below is a brief overview of the reporting dashboards currently available to HARP participants.
Dashboard | Description |
|---|---|
Patient Profile | This reporting dashboard provides detailed demographic information about a user’s attributed patients through both population- and patient-level views. Using information collected from the many healthcare locations visited by patients, the dashboard creates a source-of-truth illustration of attributed patients' most recently reported personal characteristics. |
Risk Profile | This reporting dashboard provides predictive risk information about a user’s attributed patients through a population-level view. With several condition-, event-, and utilization-based predictive risk models available, users can be better prepared to address their patient populations' prospective health needs while driving quality improvements and informing operational decision-making. |
Patient Risk | This reporting dashboard provides predictive risk information about a user’s attributed patients through a patient-level view. With several condition-, event-, and utilization-based predictive risk models available, users can be better prepared to address individual patients' prospective health needs. |
Patient Risk Features | This reporting dashboard provides risk feature information for each of the available predictive risk models pertaining to a user’s attributed patients through a patient-level view. Whereas patients may be classified as having Low through Very High risk for any given risk model, risk features represent the very specific set of variables impacting their risk classification (e.g., demographics, diagnoses, laboratory test results, vital signs, etc.). |
Utilization Profile | This reporting dashboard provides utilization (i.e., encounter) information about a user’s attributed patients through a population-level view. The “snapshot” of historical trends and current usage allow patients' care teams to better monitor population health, improve continuity of care, and enhance care coordination activities. |
Patient Utilization | This reporting dashboard provides utilization (i.e., encounter) information about a user’s attributed patients through a patient-level view. The detailed encounter record information allows patients' care teams to better manage care transitions, track time-sensitive healthcare activities in near-real time, monitor conditions between scheduled visits, and generally reinforce tighter integration among disparate providers both within and across systems of care to enable more collaborative approaches to delivering services. |
Utilization Map | This reporting dashboard presents a geocoded map with a point-to-point analysis illustrating the approximated distances travelled (in miles) by a user’s attributed patients for their Inpatient and Emergency Department encounters based on their most recently reported ZIP code of residence. |
NDPP Measurement | This reporting dashboard provides measurement information in support of the National Diabetes Prevention Program (NDPP) about a user’s attributed patients through both population- and patient-level views. Available measurement was developed in collaboration with the Maine Centers for Disease Control and Prevention (Maine CDC) and the Office of MaineCare Services (OMS). |
Performance Measurement | This reporting dashboard provides electronic clinical quality measurement (eCQM) information about a user’s attributed patients through both population- and patient-level views. |
Address History | This reporting dashboard provides supplemental address information about a user’s attributed patients through a patient-level view. Whereas the Patient Profile reporting dashboard provides patients' most recently reported address information, the Address History reporting dashboard provides all reported address information from the many healthcare locations visited by patients over time. |
MaineCare Medications | This reporting dashboard provides supplemental medication information for a user’s attributed patients through a patient-level view. The view is limited to the previous 365 days of pharmacy claims information for MaineCare (Medicaid) members only and therefore may not be a comprehensive view of all medications prescribed to the selected patient. For a more comprehensive view into a selected patient’s medication history, users should refer to the Clinical Portal’s Medication Management component. |
User Organization | This reporting dashboard presents a hierarchy of organizations to which the user has role-based access for reporting purposes. |
Section Contents
What’s Next?
So what’s next? We’re always adapting and advancing our service as workflows and needs change across the care continuum and as additional data sets become available from participants. So it’s important to stay informed of new releases and system notices.