Medical Laboratories

Situación:

Laboratory processing 800 samples/day with frequent SLA non-compliance (>24h for urgent). No visibility of where bottlenecks are: reception, processing, validation. Clients (hospitals) complain about delays, but the lab has no objective data to identify root cause. SLA compliance KPI is at 75% when client contracts require >90%—risking financial penalties and contract loss.

Solución:

Layer 1 (Digitalization): Read-only connection to the existing LIS (Laboratory Information System) to extract timestamps from each sample phase in real time, without modifying your current system. Layer 2 (Monitoring): TAT dashboard showing elapsed time broken down by phase (pre-analytical, analytical, post-analytical) with automatic alerts when a sample exceeds 80% of the SLA.

Impacto:

20% reduction in average TAT (from 28h to 22h for routine tests). SLA compliance increased from 75% to 95%. Identified that the bottleneck was in validation (lack of pathologists on late shift), enabling shift adjustments.

Situación:

Sample backlog accumulation without visibility. Senior team discovers problems only when clients call asking about pending results. Lack of tool to proactively identify which equipment or phases are generating delays. Two major hospital clients have threatened to switch providers if delivery time predictability doesn't improve.

Solución:

Layer 1 (Digitalization): We centralize sample flow from multiple existing analyzers and reception points, integrating them non-invasively. Layer 2 (Monitoring): Backlog dashboard that visually identifies bottlenecks by process phase and test type, projecting resolution time based on current pace.

Impacto:

Bottleneck detection 24-48h in advance vs. retrospective. Proactive reassignment of samples to teams with lower load. 40% reduction in client complaints about delayed results. Better staff shift planning based on load prediction.

Situación:

Laboratory with 3 high-cost clinical chemistry analyzers without knowing which is underutilized. Suspicion that some equipment is idle >40% of the time, but no data to make decisions about maintenance, renewal, or load redistribution. Management pressures to optimize ROI on equipment costing 200K€ each, but without objective utilization metrics it's impossible to justify investment decisions.

Solución:

Layer 1 (Digitalization): We integrate activity logs from your existing high-cost analyzers (chemistry, hematology) via non-invasive connection. Layer 2 (Monitoring): Utilization dashboard analyzing % active vs. idle time, real throughput per equipment and efficiency comparison to optimize investments.

Impacto:

Identified 1 analyzer with only 25% utilization, decision not to renew maintenance contract (saving 18K/year) and redistribute load to other equipment. 35% increase in average utilization of high-cost equipment. Better future investment planning based on real data.

Situación:

Laboratory serving 8 hospital clients. Each client requires monthly performance reports: average TAT, % SLA compliance, sample rejections. Team invests 6-8h/month manually consolidating data in Excel and generating customized PDFs per client. Clients demand real-time transparency and are evaluating competitor labs offering self-service portals—risking annual contract renewals.

Solución:

Layer 1 (Digitalization): AI parsers consolidate data from multiple output formats of the existing laboratory without modifying your systems. Layer 2 (Monitoring): Client portal with 24/7 metrics and customized PDF export per client. Layer 3 (Response): Automatic alert system that closes the loop, proactively notifying clients about critical results or severe SLA deviations.

Impacto:

Savings of 300h/year in manual report generation (from 8h to 30min monthly). Improved client satisfaction (self-service access vs. waiting for monthly report). 60% reduction in client emails/calls asking about sample status.