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AI-Powered Claim Optimization

BPJScan — Surface the Optimization Potential in Every BPJS Claim

BPJScan reads the standard claim TXT file your hospital already submits and runs 78 analysis filters over every single claim. Trusted by 60+ hospitals across 10+ provinces.

INA-CBG & iDRG ready · results in 2–5 minutes · no change to your existing hospital information system

bpjscan.medminutes.io

Claim Analysis · 1,247 claims

Rp 4.2 B

Total BPJS tariff

Rp 847 M

Hospital vs BPJS gap

1.24

Casemix index

47 opportunities identified

Severity undercoding +Rp 28.8 M
Missed secondary diagnoses +Rp 41.4 M
Uncoded procedures +Rp 11.4 M
Optimization potential Rp 81.6 M

Illustrative figures. Results vary with each hospital's claim volume and case mix. “M” = million IDR, “B” = billion IDR.

60+

Hospitals

10+

Provinces

Rp 3 B+

Optimized at one hospital

~4 mo

Estimated payback

Actual result from one partner hospital. Payback estimates and results vary with claim volume and case mix.

A Challenge Shared Across the Sector

Under Indonesia's JKN scheme, hospitals are paid a fixed INA-CBG tariff per case. Without systematic analysis, part of the legitimate optimization potential in each month's claims is simply hard to see.

Pending claims

Claims are returned or held because the coding does not match the payer's rules. Appealing them costs the casemix team time and effort that could go elsewhere.

Undercoding

Diagnoses and procedures are not coded to the full complexity that was actually delivered and documented, so the resulting INA-CBG tariff sits below the care provided.

Review that cannot cover everything

Manual review realistically covers a sample or the highest-value claims. Everything else goes out unexamined, month after month.

How BPJScan Works

Three steps. Insight within minutes, from the same file you already send to the payer.

1

Upload the TXT file

The standard claim TXT export from E-Klaim or INA-CBG. No conversion, no reformatting — the exact file you submit to BPJS. A ZIP of several months can be uploaded at once for trend analysis.

2

AI analysis

78 filters run over every claim — financial metrics, length of stay, ICD-10 coding rules, and 33 condition-specific audits. Hundreds of claims complete in 2–5 minutes.

3

Insight & action

An interactive dashboard shows optimization potential, ICD-10 audit findings, and prioritised recommendations your casemix team can act on before submission.

78 Filters Across 11 Categories

From AI-driven insight to ICD-10 audit and 33 condition-specific checks — all derived from a single TXT file.

13

AI analysis modules

Highlight claims worth optimizing and cases at risk of being held, benchmark efficiency and length of stay across attending physicians and specialties, and attach a concrete recommendation to every finding.

3

ICD-10 coding audits

Coding is validated automatically against official ICD-10 rules. Each claim comes back either clean or flagged for coder review, so potential issues are corrected before the file leaves the hospital — fewer revisions, less risk of a hold, and more consistency between coders.

18

Visit & length-of-stay filters

Detect the visit anomalies and inpatient patterns verifiers tend to flag. The casemix team reviews the cases that genuinely carry risk instead of working through hundreds of files one by one.

7

Financial metrics

Revenue per attending physician, top-up potential, cost components (drugs, devices, consumables, professional fees), tariff gaps by diagnosis / INA-CBG / procedure, and extreme-cost outliers.

33

Condition-specific analyses

From surgical cases to internal medicine, obstetrics to critical care. Each condition carries its own audit logic matched to its claim rules, helping coders confirm the coding reflects the complexity actually delivered.

5

Trend & recap views

Upload several months at once and watch performance move over time: revenue and growth, case volume, emerging diagnoses and procedure adoption, length of stay and bed occupancy, plus recaps for devices, ambulance, blood, chronic medication and chemotherapy.

Results vary with each hospital's claim volume and case mix.

Manual vs BPJScan

Why Manual Review Alone Falls Short

Manual review depends on the care and the available hours of a small team. BPJScan applies the same checks to every claim, every time.

Comparison of reviewing BPJS claims manually versus with BPJScan.
Aspect Manual review With BPJScan
Speed Hours for a single batch of claims Hundreds of claims in 2–5 minutes
Coverage A sample, or only the high-value claims 78 filters over every claim
Consistency Varies with workload and reviewer Identical rules applied to all claims
Pattern detection Cross-month and per-physician trends are hard to see Multi-month analysis and per-physician contribution
Outcome Some optimization potential goes unseen Potential surfaced, claims more audit-ready
New: iDRG analysis

Ready for the INA-CBG → iDRG Transition

Indonesia's national tariff system is moving from INA-CBG to iDRG. BPJScan now ships with 8 iDRG analysis submenus so the casemix team can understand the tariff impact well before full implementation — no surprises on go-live day.

  • Tariff comparison — hospital vs INA-CBG vs iDRG, case by case
  • Cases up or down — identify which cases shift tariff and by how much
  • Casemix index — CMI by specialist and by MDC
  • Mapping & bridging — INA-CBG to iDRG, diagnoses and procedures
Schedule an iDRG demo

Estimated tariff impact (illustrative)

INA-CBG baseline
iDRG shifted

The iDRG menu activates automatically once iDRG data is present in the e-Klaim TXT file. Illustrative figures only.

Where BPJScan Sits in the Claim Flow

BPJScan is strongest alongside two companion products that guard the claim before and after submission.

Before the claim

AI CDSS

Strengthens coding at the source: supports pre-coding from the start of care, keeps documentation complete, and checks the diagnosis matches the reason for admission — while the patient is still on the ward.

At claim time — you are here

BPJScan

Audits and optimizes every claim before it is submitted: undercoding, top-up potential, and the patterns that commonly trigger a hold.

After the claim

Claim Manager AI

Reconciles the payer's verification results against the hospital information system automatically, tracks which claims have been paid, then distributes physician fees per attending doctor transparently.

Frequently Asked Questions

BPJScan is an AI platform that analyses the BPJS claim TXT file produced by Indonesia's E-Klaim and INA-CBG systems. It surfaces the optimization potential in each claim, audits ICD-10 coding, and reports on claim performance automatically.

The standard TXT file from E-Klaim and INA-CBG, plus ZIP archives containing several months of TXT data for trend analysis. The Professional tier also accepts PDF claim submission recaps (FPK). Upload the same file you send to the payer — no conversion needed.

Yes. Claim data is processed on a secure cloud server, is not stored permanently, and is never shared with third parties. BPJScan is registered with PSE Komdigi, the Indonesian electronic system operator registry. Only non-identifying metadata (claim counts, timestamps) is retained for analytics. An on-premise option is available for hospitals that require it.

Yes. BPJScan runs standalone — there is no need to replace the system you already run. Upload the claim TXT file and BPJScan handles the analysis. MedMinutes also provides a full EMR and hospital information system if you want the wider platform, but BPJScan does not require it.

No. BPJScan helps ensure the coding reflects the care that was actually delivered and documented, in line with ICD-10 rules and INA-CBG regulations — it does not inflate claims without basis. The goal is claims that are tidier and more audit-ready, so legitimate optimization potential is not missed and the risk of correction during verification goes down.

A BPJScan subscription starts at IDR 2 million per month and is scaled to the size and needs of the hospital. Schedule a demo for a quote that fits your case volume.

Yes — a 30-minute demo can be scheduled at any time. We run it on your hospital's own claim data, so what you see is your actual optimization potential rather than simulated numbers.

See What Your Own Claim Data Shows

A 30-minute demo on your hospital's real claim file. No simulated numbers, no obligation.

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