What reports are accessible within the Care Management Module of HealthAnalytIQ?

Gain an understanding of what you can review, analyze, and track with the reports in HealthAnalytIQ's Care Management Module.

Below is a list of the reports, analyses, and groups that can be tracked using the Care Management Module of HealthAnalytIQ. 

1. COVID-19 Surveillance – This dashboard was designed during the 2020 pandemic to enable organizations of all types and sizes such as employers, health plans, public school districts and consortiums, and other fiduciaries be able to quickly identify members who are most vulnerable to COVID-19. Following World Health Organization (WHO) guidelines on COVID-19 and its characteristics, this dashboard utilizes proprietary, sophisticated risk stratification algorithms. It works in conjunction with the Johns Hopkins ACG® clinical grouper to identify and stratify those within any given population who are at greatest risk of serious illness, complications, and death from COVID-19.
2. Case Management - A dashboard designed to identify members eligible for case management intervention across an entire population. Patients with multiple chronic conditions, high medical needs, emerging risk, home health needs, and others such as frail individuals, members with pressure ulcers, and those that have experienced falls or unexplained loss of weight are easily identified in a worklist and flagged for case management.
3. Disease Management - A dashboard designed to identify members eligible for various disease management programs across all chronic conditions. Program management flags are built into worklists to allow care coordinators to easily filter patients by the care management and disease management programs they are currently enrolled in, and quickly identify patients eligible for but not currently enrolled in appropriate care and disease management programs.
4. Management Programs - This dashboard automatically identifies members eligible for Medication Therapy Management (MTM), Utilization Management, Metabolic Syndrome and Pre-Diabetes Risk across an entire population. Patients with multiple chronic conditions, high utilization of medical resources, multiple inpatient, outpatient and ED visits, and others with conditions such as hypertension, dyslipidemia and obesity etc. are easily identified in a worklist and recommended for appropriate management programs.
5. Undiagnosed Hypertension Surveillance – This hypertension surveillance dashboard was developed to identify patients whose systolic and diastolic blood pressure readings place them in one of the categories for hypertension based on an automated review of the medical record, but whose disease is currently undiagnosed by a physician. The Hypertension Surveillance Dashboard uses generally accepted guidelines from the American Heart Association (AHA) to identify patients whose blood pressure measurements place them into one of the established hypertension categories. Identified patients are displayed on an action worklist for review by nurses, care providers, and care coordinators. Those patients can then be referred to a physician for follow up or outreach.
6. Undiagnosed Diabetes Surveillance – This diabetes surveillance dashboard was developed to identify patients whose blood glucose readings place them in one of the categories for diabetes based on an automated review of the medical record, but whose disease is currently undiagnosed by a physician. The Diabetes Surveillance Dashboard uses generally accepted guidelines by the American Diabetes Association (ADA) to identify patients whose blood glucose measurements place them into one of the two categories: prediabetic or established undiagnosed diabetes. Identified patients can be displayed on an action worklist for review by nurses, care providers, and care coordinators. Those patients can then be referred to a physician for follow up or outreach.
7. Social Determinants of Health (SDoH) – This dashboard visually displays the SDoH factors that influence health outcomes within a given population. These non-medical factors include conditions in which people are born, grow, live, work, and age. These conditions include factors such as socioeconomic status, education, neighborhood, employment, social support networks, access to health care (or lack thereof, and more. This fully interactive dashboard features a live map and enables drilldown to dimensions such as location (city, state, ZIP etc.), individual member, age, claims history and amounts, diagnoses and procedures, overall risk, group membership, and more.