Nlekọta Akụ Healthcare
Ụlọ Ọgwụ Nwere Ọgụgụ Isi

Nye ndị nọọsụ oge ha azụ. Ebe dị adị n'oge maka ihe ọ bụla, ọgwụ ọ bụla, oge ọ bụla.

$1.2M
Mgbochi Ọnụahịa Isi Obodo (azụghị mgbapụta ọhụrụ)
6,000 hrs
Oge Ncheta Nọọsụ Laghachiri N'ọrụ Nlekọta (Kwa Afọ)
100%
Crash Cart Nyocha Nkwado
Nsogbu

Nsogbu nke Care Logistics

Hospitals are complex, chaotic environments where life-and-death decisions depend on logistics. Yet, the average nurse spends 1 hour per shift - 12% of their time - hunting for equipment. They look for IV pumps, wheelchairs, telemetry packs, and wound vacs. This is 'Hunt and Gather' medicine.

Beyond assets, the management of pharmaceuticals is fraught with risk. Manual tracking of crash carts and medication trays leads to expired drugs remaining in circulation. A single oversight can lead to a Sentinel Event.

Furthermore, patient flow is opaque. Bottlenecks in the ER or OR reduce throughput and patient satisfaction. Without data, administrators cannot optimize staffing or bed turnover.

Isi Ihe Na-ewute

Nchekwa Akụrụngwa & Mmefu

N'ihi na ndị ọrụ enweghị ike ịchọta akụrụngwa, ha na-akpakọba ya n'ime kaboodu na taịlị ụlọ. Ụlọ ọgwụ na-azụta 130% nke ụgbọ mmiri ha dị mkpa, mana ojiji ya na-anọgide na-erughị 40%. Ọtụtụ nde dollar na-anọdụ ala.

Nchekwa Ọgwụ

Ịkwanye ụgbọala mberede aka bụ njehie. A tụfuru vial epinephrine kwụrụ ụgwọ bụ ụgwọ. Izu ohi ọgwụ (izu ohi) bụkwa ihe na-akawanye njọ nke akwụkwọ ntuziaka enweghị ike igbochi.

Njikwa Ọrịa

Ịmara akụrụngwa nke na-emekọrịta ihe na onye ọrịa na-efe efe dị oke mkpa. Na-enweghị nchọpụta kọntaktị dijitalụ, ụlọ ọgwụ ga-ekpuchi akụ, na-akpaghasị ọrụ.

Usoro Anyị

Akụrụngwa Na-arụ ọrụ & Na-adịghị arụ ọrụ RTLS

Akụrụngwa Na-arụ ọrụ & Na-adịghị arụ ọrụ RTLS

Nextwaves implements a hybrid Real-Time Location System (RTLS). We use Passive UHF RFID for high-volume consumables and low-cost assets (linen, files, meds), and Active (BLE/Wi-Fi) tracking for high-value mobile equipment.

Our 'Smart Cabinets' automatically track every vial of medication taken, updating the patient record and inventory instantly. Our ceiling-mounted arrays track the movement of beds and pumps throughout the facility, visualizing them on a digital map.

This system creates a 'Chain of Custody'. We know exactly who took the drug, for which patient, and when. We know exactly where the infusion pump is, and if it has been cleaned since its last use.

Ihe Ị Nweta

Nlekọta Ahụike & Ego ROI

01

Nchekwa Ndị Ọrịa

Gbochie 'Ihe omume mgbe ọ bụla'. Nlele akpaaka na-ahụ na ọgwụ kwesịrị ekwesị, dose kwesịrị ekwesị, onye ọrịa kwesịrị ekwesị.

02

Ojiji Akụ

Belata nha ụgbọ mmiri site na 20% mgbe ị na-abawanye nnweta. Kwụsị ịzụta mgbapụta ị chọghị.

03

Afọ ojuju nke ndị ọrụ

Nye ndị nọọsụ oge ha azụ. Hapụ ha ka ha lekwasị anya na nlekọta, ọ bụghị logistics.

04

Nrubeisi Iwu

Akụkọ ndekọ akpaaka maka The Joint Commission (TJC). Gosi ịdị ọcha na nrubeisi mmezi ozugbo.

Case Study
Nnyocha: Regional Medical Center

Ụlọ ọgwụ nwere akwa 500 na-agbasi mbọ ike na ER throughput na enweghị mgbapụta IV na-adịghị ala ala. Ndị nọọsụ na-akọ akụkọ banyere igbu oge na nlekọta n'ihi enweghị akụrụngwa.

Talk to an engineer
$1.2M
Mgbochi Ọnụahịa Isi Obodo (azụghị mgbapụta ọhụrụ)
6,000 hrs
Oge Ncheta Nọọsụ Laghachiri N'ọrụ Nlekọta (Kwa Afọ)
100%
Crash Cart Nyocha Nkwado
How It Works

Emebere maka Nzuzo Ndị Ọrịa

01

Healthcare RFID has a higher bar than retail. No patient name, diagnosis, or personally identifiable information (PII) is ever written to a tag. Tags carry only an anonymous token. a number that means nothing without access to the secure backend that links it to a patient record.

02

That database layer is encrypted, access-controlled, and audited. Clinicians see only the data their role permits. Administrators see utilization reports. No one sees patient data through the RFID layer itself. We are fully HIPAA-compliant by design, not by policy workaround.

What's Next

Site na Nchọpụta gaa na Amụma

Location data is just the start. When you have a continuous stream of where every asset and patient is, patterns emerge. We are working on models that can predict equipment bottlenecks 4–6 hours before they happen, giving charge nurses time to reassign before care is impacted.

On the horizon: beds that automatically report patient weight and pressure changes, smart cabinets that reorder medications before they run out, and OR scheduling that adjusts in real time based on actual equipment location, not assumptions.

Gwọọ nke ọma.

Kwe ka teknụzụ na-elekọta nchọ. Ị na-elekọta ịchekwa.