ECL on insurer and government receivables

Concentration risk with a small number of large insurer/government payors, combined with historically slow government settlement cycles, means a mechanical aging-based ECL provision can badly misstate expected losses in either direction; getting the provision matrix segmentation right is central to both accurate financial reporting and realistic working-capital planning for the provider.

Is the ECL provision matrix segmented by payor category (private insurer, government, self-pay) given their genuinely different risk profiles, or is a single blended aging schedule applied across all of them? Beyond simple aging, are payor-specific factors such as disputed claims, historical settlement delay and regulatory reimbursement changes built into the loss-rate model? Are government receivables assumed collectible with minimal loss purely because the payor is government, without evidence supporting that assumption?

1) Segment receivables and contract assets into payor categories with genuinely different risk profiles: self-pay/individual patients, private insurers, and government/public programs. 2) Build a provision matrix or loss-rate model for each segment using historical loss experience specific to that payor category, not a single blended aging schedule. 3) Incorporate reasonable and supportable forward-looking information (payor solvency changes, regulatory reimbursement policy shifts) into each segment's loss rate. 4) Apply the simplified approach (lifetime expected credit losses from initial recognition) to trade receivables and contract assets without a significant financing component, which is the normal case for patient and insurer receivables; where a balance does contain a significant financing component (for example, a long deferred settlement agreed with a payor), lifetime ECL from day one is a policy choice, otherwise the general model with staging applies. 5) Distinguish amounts still subject to genuine claim adjudication (an IFRS 15 variable-consideration/revenue measurement issue) from amounts already approved but slow to collect (a credit-risk/IFRS 9 issue), do not double-count the same risk under both. 6) Reassess the matrix and forward-looking overlays at least annually, or when payor behavior changes materially.

Segment receivables by payor category since loss patterns differ materially between individual patients, private insurers and government programs; base each segment's loss rate on that segment's own historical experience over a representative period; incorporate reasonable and supportable forward-looking information such as changes in payor solvency or regulatory reimbursement policy without undue cost or effort; for individually significant receivables from a single large payor, consider assessing that exposure specifically rather than relying solely on the collective matrix.

Disclose the provision matrix or methodology by payor segment; disclose credit risk concentration by major payor (naming categories, e.g. top 3 insurers/government programs, without necessarily naming counterparties); disclose a reconciliation of the loss allowance for the period (opening balance, charge, write-offs, reversals, closing balance); disclose forward-looking factors incorporated into the estimate.

• Applying a single blended aging-based rate across all payor types regardless of materially different risk profiles
• assuming government or large insurer receivables are effectively risk-free without evidence, understating the allowance
• not distinguishing amounts pending genuine claim adjudication (a revenue/variable consideration issue) from amounts approved but slow to collect (credit risk), leading to double provisioning or under-provisioning
• failing to update the loss-rate matrix for observed changes in payor payment behavior
• ignoring reasonable forward-looking information such as a payor'
• s publicly known financial distress.