To illustrate how a business use-case-driven investment in analytics can impact a healthcare organization, let’s consider the total cost of care (TCOC) and look at how it impacts various stakeholders in value-based programs.
As we discussed in the first blog in this series, total cost of care (TCOC) is a calculated metric that captures the overall cost of care for a specific population. It is a key metric that is tracked by healthcare organizations that are involved in any kind of value-based contracts with other parties.
For this example, let’s take a healthcare insurance company (or payor) that arranged value-based payments and incentives with a group of providers. Let’s also assume the payor runs a diabetes management program and partners with a pharmacy benefits administrator (PBA). The payor structures the diabetes management program as a set of benefits and proactive management of a panel of members diagnosed with various types of diabetes or prediabetes. The benefit structure consists of:- Guidance and support regarding nutrition, weight management and smoking cessation
- Glucose monitor at low or no additional cost
- Medication adherence management.
- Care coordination for routine and preventive health visits and screenings.
Measuring Total Cost of Care
Payors typically correlate TCOC against benchmarks. These may be the average TCOC for providers or groups that deliver similar services. These may also be benchmarks the Centers for Medicare and Medicaid Services (CMS) published for similar Medicare Shared Savings Programs (MSSP). In general, higher-than-expected TCOC may indicate utilization of services higher than necessary, poor provider performance or disease exacerbation due to various factors. Lower-than-expected TCOC is not automatically indicative of the high quality of care or a successful disease management program. That metric should correlate with Social Determinants of Health (SDOH) data to account for socioeconomic factors and potential barriers in accessing care. In other words, lower overall TCOC may simply mean people in need cannot access required care and are not using the services they need. TCOC that starts trending lower, along with the introduction of services and benefits for a specific member panel, can indicate the success of disease management programs. What would the payor in our diabetes management example need in place to accurately measure TCOC, and how would they define and plan a business use case to provide the right level of analysis for various stakeholders? The following are key attributes of data aggregation and analytics capabilities. These attributes are necessary for accurate cost tracking, actionable insights for care managers and gauging of the financial performance of the provider network.- Data platform: based on modern architecture principles that aggregate data from disparate sources, master data for key domains into a unified, high-quality dataset and generate advanced analytics in real-time.
- Master Data Management(MDM): a solution that matches, links and deduplicates membership, claims and clinical data into a unified record:
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- Member domain: enables measurement of the total cost associated with an individual, as well as sets and continuously refines a risk score that provides insights into future costs and care management approaches.
- Provider domain: tracks provider performance across all associated care settings, allows for optimal modeling of value-based contracts and incentives structures and provides insights into the quality of care.
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- Required data: includes membership (demographics), eligibility, benefit coverage, claims (CPT and ICD codes, claim amounts), clinical, provider (demographics, NPI, TIN, EIN) and financials (risk factor formulas, contract values, budget forecasts).
- Panel management: involves the process of monitoring the patient population for important preventive and chronic care milestones based on guidelines determined by the provider practice or care management program.
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- Payors may base panels on conditions, risk scores, care gaps, demographics, socioeconomic status, and so on. In the case of our example, the payor defines the panel based on diabetes diagnosis.
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TCOC Use-Case-Driven Solution Adoption Scenarios
For adoption scenarios in our example, let’s look at three roles within the organization that would be primary consumers of the TCOC analytics solution. The Chief Actuary finds value in reviewing a monthly TCOC report filtered by diabetes diagnosis to see if numbers are out of range against benchmarks and goals. Numbers out of range may require updates to financial projections, forecasts, incentive payments and reimbursement rates. The Care Coordination Manager benefits from an increased access rate to TCOC reports. This includes accessing a daily report filtered to a targeted list of members who require outreach. The report based on CMS measure defines a member panel of patients who are:- Missing HbA1c test in the past 3 months. This may require reaching out and setting up an appointment.
- HbA1c poor control (> 9.0%). This may require outreach and discussion with the patient about diet, exercise and medications.
- Missing a retinal eye exam. This may require reaching out to the patient and specialist and setting up an appointment.
- Medicare members missing nephropathy screening test. This may require reaching out to the patient and specialist and setting up an appointment.
Desired Analysis or Reporting
- TCOC metric for total member population expressed in per-member-per-month (PMPM) dollar amount
- Ability to drill down into the metric and filter it by:
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- Diabetes panel based on criteria in the HEDIS Measure for Comprehensive Diabetes Care (CDC)
- Geographical territory
- Age, sex, race and other demographic factors
- Each component of the measure
- By individual Provider or Group.
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- Sub-selection of members requiring outreach based on care gaps.