Healthcare
Occupancy, claim denials, clinical outcome and cost per procedure. Clinical and financial data need to meet and almost never do.
Talk to a specialistA denied claim is the bill that arrives later, when it is too late to argue.
In healthcare, two worlds coexist without speaking. The clinical side records the encounter, the procedure and the outcome; the financial side records billing, reimbursement and denials. When a denial arrives, it is almost always too late to gather the evidence that would contest it.
The same applies to cost. Without crossing procedure with materials, theatre time and length of stay, cost per procedure becomes a crude allocation and contract decisions get made on top of it.
The questions we answer
- Which procedure, which payer and which denial reason concentrate the greatest loss?
- What is the real cost per procedure, including materials, theatre time and length of stay?
- Is occupancy being measured with the same rule across all units?
- Which payer contract is profitable after historical denials?
- How much billing is lost to incomplete and avoidable documentation?
The indicators of this industry
The ones that show up in most projects in this industry. The final set is always agreed with you an indicator nobody uses is dead weight on a dashboard.
- Billing and denials. Denial rate by payer and by procedure, denials recovered, average denial value, billing close time, revenue per bed and per theatre.
- Occupancy. Occupancy rate by unit, average length of stay, bed turnover, operating theatre utilisation, appointment no-show rate.
- Cost. Cost per procedure including materials and theatre time, cost per patient-day, material consumption against protocol, cost of implants and devices.
- Clinical. Readmission rate, time to treatment, outcome indicators by care line, infection rate. Always aggregated and de-identified.
The solutions we use most here
- Data Governance. First of all: patient data requires least access and an audit trail.
- Business Intelligence. Clinical and financial in the same dashboard, broken down by unit and payer.
- Integration & AI Automation. Automatic checking of what usually triggers a denial, before the claim goes out.
How we run it
We start with the governance layer, and not out of methodological preference: patient data requires access control and an audit trail from day one. Then we integrate the clinical and financial sources, which is where the value appears. Automatic denial checking is usually the first deliverable to pay for itself, because it acts before the claim goes out.
How we measure results
The most frequent indicators are reduction in denials, cost per procedure, occupancy measured with a single rule and billing close time.
We now have a far more robust, fast and visual view of each management area’s results.
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About this industry
How is patient data protection handled?
It is a requirement from the design stage, not a final step. Least access by role, audit trail and mapping of where personal data sits and for what purpose. For aggregate analysis we work with de-identified data whenever the question allows and it almost always does.
Our hospital management system is closed. Can data be extracted?
In most cases, yes. Where an API or accessible database exists, we use it; where it does not, there are other extraction routes. A closed system feeds into the timeline, it does not rule the project out.
Can denials be predicted before billing?
They can, and it is where the return appears fastest: denials repeat in known patterns, and automatic checking rules block a good share before submission. A predictive model comes later, on top of the organised history.
Does this work for clinics, or only hospitals?
It works for both; the scope changes. In a clinic the focus is usually scheduling, occupancy and denials; in a hospital, length of stay, theatre cost and outcome come in.
How much do denied claims cost you per year?
Thirty minutes of conversation is usually enough to size it.
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