Hospital Information System · Built in Nigeria

Run your whole hospital on one system, from the front desk to the ward.

Registration, records, the laboratory, pharmacy, billing, and every other clinical service operate from the same patient record. It reveals likely resistance before empiric antibiotics are prescribed.

Sample Alert · Resistance Intelligence

Escherichia coli

Urine culture · clean-catch
CiprofloxacinR
Amoxicillin-clavulanateI
NitrofurantoinS
MeropenemS
Suggested: Nitrofurantoin · in stock
The Problem

Your hospital already produces the information it needs. It just doesn't move.

A patient registers at reception, their file is shelved, lab results are printed on paper, the pharmacy dispenses medication without seeing them, billing captures only part of the patient's journey, and critical information is lost along the way. When the patient returns, it's as if they're visiting for the first time.

Nowhere are the consequences more serious than in antibiotic prescribing.

Clinicians frequently have to prescribe empiric antibiotics days before culture results are available. Yet every antimicrobial susceptibility result generated by the laboratory remains locked away in individual patient records, with no facility-wide view of resistance trends by ward, department, or time period. The same resistance patterns are encountered repeatedly, forcing each clinician to make decisions with incomplete information.

263,400

Nigerian deaths a year where bacterial resistance played a part. Of those, 64,500 are attributable to resistance directly, around 175 a day. Antimicrobial resistance is what happens when the drugs we rely on stop working against common infections.

263,400 associated / 64,500 attributable, 2019. Source: Nigeria AMR National Action Plan 2.0 (2024–2028).

Young children carry the heaviest of it. Across low- and middle-income countries most AMR deaths are in children under five, and Nigeria sits in the worst-affected region in the world.

What We Do

Other systems manage records. Health Scope tells the clinician what to do with them.

The hospital information system is what your facility runs on every morning. The resistance layer is why those results stop dying in the file.

The hospital system
01

One record per patient

Registration, outpatient clinics, admissions, ward and bed management. One record follows the patient through every visit, instead of starting over at each desk.

02

The full laboratory

A laboratory information system across every unit, with each susceptibility result stored as structured data rather than a line of text on a slip.

03

Pharmacy, stock and billing

Dispensing with live stock levels, and every test, drug and consult charged at the point of care, so revenue stops leaking through paper.

Our core differentiators
04

Resistance at the prescribing screen

The moment a clinician prescribes, the evidence is already there.

The patient's resistance profile. The laboratory's accumulated knowledge of that organism. All brought together at the point of care, before the prescription is written.

05

Your own live antibiogram

Built from your own cultures, showing how resistance shifts quarter to quarter. Nothing exported to a separate system, nothing re-entered by hand.

06

What the patient actually received

We record the drug dispensed, not just the drug prescribed. When the first-line agent isn't in stock and the pharmacy substitutes, we capture it. Very few systems in the country record that, and it is the difference between knowing what clinicians intended and knowing what patients took.

07

Resistance prediction

The model is trained on a 30,000-isolate synthetic dataset calibrated to NCDC's published AMR reports, and it forecasts likely resistance ahead of a culture returning. Your facility's own cultures sharpen it once you're live: the national picture becomes your picture.

Analytics · Facility antibiogram Demo · synthetic data
Drug susceptibility
S I R
Amikacin (AMK)n=871
78% S4% I18% R
Ampicillin (AMP)n=896
5% S3% I92% R
Amoxicillin-clavulanate (AMC)n=884
35% S4% I61% R
Ceftriaxone (CRO)n=890
27% S2% I71% R
Ciprofloxacin (CIP)n=893
40% S4% I56% R
Meropenem (MEM)n=812
94% S2% I4% R
Nitrofurantoin (NIT)n=704
88% S5% I7% R
Prevalence ranking
Isolate counts are first-isolate per patient per quarter, following CLSI deduplication. Select a row to load its susceptibility panel.

The facility antibiogram, built from your own cultures. Start where the clinician starts, with the presenting indication, and the panel ranks the organisms actually recovered from that syndrome at this facility before showing what still works against them. Or filter by organism or agent directly. Every organism is ranked by prevalence, with first-isolate deduplication applied per CLSI. Demo environment, synthetic dataset calibrated to NCDC's published AMR reports. Try the filters.

Capabilities

One patient. One record. Every department connected.

Everything below ships in the platform. Not a roadmap, and not a module you pay extra for later.

Clinical & Laboratory

  • Patient registrationand one record per patient, across every visit
  • Outpatient clinicsqueues and appointment scheduling
  • Inpatient admissionsward and bed management
  • Clinical notesdiagnoses, vitals and patient history
  • Laboratory information systemacross all departments
  • Nursing observationsand charting at the bedside
  • Result-ready alertsto the clinician, and patient updates by email, WhatsApp or SMS

Operations & Revenue

  • Order entryfor laboratory, pharmacy, imaging and every clinical service, from one screen
  • Pharmacy dispensingwith live stock levels and reorder points
  • Billing and invoicingat the point of care, so charges are captured while the patient is still in front of you
  • Cashier and payment recordingwith order gating where needed
  • Staff accountswith role-based access
  • Drug and consumable inventorywith reorder alerts

Compliance & Reporting

  • NHIA and HMO claimsprepared from records already in the system
  • DHIS2 and national returnsgenerated instead of retyped by hand
  • Notifiable disease reportingready for IDSR submission
  • Infection prevention & controlreports for your IPC committee

Security & Data Protection

  • FHIR-aligned recordsso your data stays yours and stays portable
  • Role-based accessso staff see only what their job needs
  • A full audit trailof who saw and changed each record
  • Encrypted in transit and at restwith daily backups, aligned with the Nigeria Data Protection Act

One patient record, read by every department at once.

This is a single admitted patient. The front desk, the pharmacy, the lab, the ward and billing are all writing to the same record, in real time. Scroll the record below, or jump to what each role sees.

Pharmacywhat was dispensed, not just prescribed Laboratoryresults, with resistance flagged Wardclinical notes and vitals Billingrole-locked, amounts hidden here
Patients · Amaka Nwosu · Unified record Interface preview · synthetic data
AN
Amaka Nwosu
HN 2026/00871 · Female, 34 · Ward 3B, Bed 12 · Demo Teaching Hospital (South West)
Allergy: Penicillin Blood group O+ Admitted 4 Jul · Post-op day 5
Medications
Prescribed and dispensed →
PrescribedOrdered byDispensedStatus
Metformin 1 g BD
Regular, continued on admission
Dr E. Adeniyi
Metformin 1 g BD
Pharm. T. Ojo, 4 Jul 19:40
Dispensed as prescribed
Metronidazole 400 mg TDS
4 Jul 19:10
Dr E. Adeniyi
Tinidazole 500 mg BD
Pharm. T. Ojo, 4 Jul 19:44
Substituted · out of stock
Enoxaparin 40 mg OD SC
VTE prophylaxis, 4 Jul 20:00
Dr E. Adeniyi
Enoxaparin 40 mg OD SC
Pharm. T. Ojo, 4 Jul 20:15
Dispensed as prescribed
Nitrofurantoin 100 mg QDS
Culture-directed, 6 Jul 14:05
Dr E. Adeniyi
Nitrofurantoin 100 mg QDS
Pharm. T. Ojo, 6 Jul 15:20
Dispensed as prescribed
Paracetamol 1 g TDS PRN
4 Jul 19:10
Dr E. Adeniyi
Paracetamol 1 g TDS PRN
Pharm. T. Ojo, 4 Jul 19:40
Dispensed as prescribed
Health Scope records what the patient actually received, not only what was written. Substitutions, holds and stock-outs are captured against the same record.
Investigations
All results →
Full blood count8 Jul
WBC 9.4 ×10⁹/L, falling · Hb 10.8 g/dL · Plt 361
Fasting blood glucose9 Jul
6.8 mmol/L · HbA1c 7.2% (Jun)
Urea & electrolytes8 Jul
Within reference range
Urine culture & sensitivity6 Jul
Escherichia coli · >10⁵ cfu/mL Resistance flagged
RCiprofloxacin SNitrofurantoin
Chest radiograph4 Jul
Pre-operative · no acute cardiopulmonary abnormality
Vitals
9 Jul, 06:00
Temp
37.1°C
BP
118/76
Pulse
96bpm
Clinical note
9 Jul, 08:22

Day 5 post-laparotomy. Comfortable overnight, pain controlled on oral analgesia. Mobilising to the corridor with one nurse, tolerating a soft diet. Wound clean and dry, staples intact. Glycaemic control steady on her usual metformin. Nitrofurantoin continues for the urinary isolate. For discharge planning review on Friday.

Dr E. Adeniyi · Registrar, General Surgery · signed 08:31
Diagnoses & alerts
Type 2 diabetes mellitus
Diagnosed 2021 · metformin 1 g BD
Post-operative recovery
Day 5 · wound healing by primary intention
Penicillin allergy
Urticarial rash, documented 2019
Procedures
Full history →
Exploratory laparotomy
4 Jul 2026 · Theatre 2 · Mr O. Balogun
Wound review, staples checked
7 Jul 2026 · bedside · Nurse F. Adeyemi
Caesarean section
2019 · uncomplicated
Payments
Role: Clinician
ConsultationPaid
Laboratory, 6 investigationsPaid
Pharmacy, dispensed to datePaid
Theatre & proceduresPaid
Repeat full blood count, requested 9 JulNot paid
Amounts, invoices and claims are visible to billing and administration roles only.
Interface preview · synthetic data
AN
Amaka Nwosu
HN 2026/00871 · Female, 34 · Ward 3B, Bed 12 · Demo Teaching Hospital (South West)
Allergy: Penicillin Blood group O+ Admitted 4 Jul · Post-op day 5
Diagnoses & alerts
Type 2 diabetes mellitus
Diagnosed 2021 · metformin 1 g BD
Post-operative recovery
Day 5 · wound healing by primary intention
Penicillin allergy
Urticarial rash, documented 2019
Clinical note
9 Jul, 08:22

Day 5 post-laparotomy. Comfortable overnight, pain controlled on oral analgesia. Mobilising to the corridor with one nurse, tolerating a soft diet. Wound clean and dry, staples intact. Glycaemic control steady on her usual metformin. Nitrofurantoin continues for the urinary isolate. For discharge planning review on Friday.

Dr E. Adeniyi · Registrar, General Surgery · signed 08:31
PrescribedOrdered byDispensedStatus
Metformin 1 g BD
Regular, continued on admission
Dr E. Adeniyi
Metformin 1 g BD
Pharm. T. Ojo, 4 Jul 19:40
Dispensed as prescribed
Metronidazole 400 mg TDS
4 Jul 19:10
Dr E. Adeniyi
Tinidazole 500 mg BD
Pharm. T. Ojo, 4 Jul 19:44
Substituted · out of stock
Enoxaparin 40 mg OD SC
VTE prophylaxis, 4 Jul 20:00
Dr E. Adeniyi
Enoxaparin 40 mg OD SC
Pharm. T. Ojo, 4 Jul 20:15
Dispensed as prescribed
Nitrofurantoin 100 mg QDS
Culture-directed, 6 Jul 14:05
Dr E. Adeniyi
Nitrofurantoin 100 mg QDS
Pharm. T. Ojo, 6 Jul 15:20
Dispensed as prescribed
Paracetamol 1 g TDS PRN
4 Jul 19:10
Dr E. Adeniyi
Paracetamol 1 g TDS PRN
Pharm. T. Ojo, 4 Jul 19:40
Dispensed as prescribed
Health Scope records what the patient actually received, not only what was written. Substitutions, holds and stock-outs are captured against the same record.
Full blood count8 Jul
WBC 9.4 ×10⁹/L, falling · Hb 10.8 g/dL · Plt 361
Fasting blood glucose9 Jul
6.8 mmol/L · HbA1c 7.2% (Jun)
Urea & electrolytes8 Jul
Within reference range
Urine culture & sensitivity6 Jul
Escherichia coli · >10⁵ cfu/mL Resistance flagged
RCiprofloxacin SNitrofurantoin
Chest radiograph4 Jul
Pre-operative · no acute cardiopulmonary abnormality
Temp
37.1°C
BP
118/76
Pulse
96bpm
Exploratory laparotomy
4 Jul 2026 · Theatre 2 · Mr O. Balogun
Wound review, staples checked
7 Jul 2026 · bedside · Nurse F. Adeyemi
Caesarean section
2019 · uncomplicated
ConsultationPaid
Laboratory, 6 investigationsPaid
Pharmacy, dispensed to datePaid
Theatre & proceduresPaid
Repeat full blood count, requested 9 JulNot paid
Amounts, invoices and claims are visible to billing and administration roles only.

One record, one screen. Diagnoses, procedures, prescriptions, clinical notes, prior tests and results, and payment status, all against the same patient. The medications table shows the drug prescribed beside the drug actually dispensed, so a stock-out is captured rather than lost. Interface preview, in build. Demo environment with synthetic data.

Where this goes

One facility sees itself. A network sees the country.

Every susceptibility result Health Scope captures is structured at the moment it is created, inside the hospital's own workflow. That is the part the country is missing, and it is why we built the hospital system first instead of the dashboard. Nigeria's national action plan on AMR calls the country's death toll likely underestimated, and points at the gaps in surveillance to explain why. Those gaps start at the bench.

In the system today

Resistance intelligence, per patient and per facility

  • Likely resistance surfaced at the prescribing screen, before the culture comes back
  • A live antibiogram built from your own cultures, shifting quarter to quarter
  • Facility resistance trends over time, by ward, unit and period
Next, as facilities join

A resistance picture wider than any one hospital

  • Cross-facility resistance patterns, anonymised and aggregated
  • Antimicrobial stewardship surveillance across a network
  • Benchmarking, so a facility can see how its resistance compares with its peers
Where this goes

A live disease surveillance feed

  • Which disease is moving, where in the country, and how fast
  • Built from real facility data, updating as results come off the bench
  • Earlier warning than reporting on paper, months after the fact, has ever been able to give

The first stage is built, and you can use it in the antibiogram above. The second and third depend on facilities joining the network, which is exactly what our first pilots are for. We would rather show you the ladder than pretend we are standing at the top of it.

Where We Are

What we've already built.

Registered company

AMR Scope Nigeria Limited, CAC registered.

AMR intelligence layer

Built and deployed, calibrated to NCDC AMR reports.

Clinical validation

30 health workers surveyed across tertiary, general and private facilities.

First pilots being secured

Pilot facilities being lined up in Abuja, with a letter of intent in progress through our clinical lead.

NDPA-ready by design

Built to the Nigeria Data Protection Act: DPIA, a named DPO, encryption and role-based access. NDPC registration to follow at the deployment stage.

Team

Built by Nigerian healthcare practitioners.

We've worked in these hospitals and laboratories ourselves. We understand the daily challenges clinicians, laboratory scientists, pharmacists and administrators face, because we've faced them. Health Scope was built around those realities, not adapted from a foreign template.

AO

Abimbola Nurudeen Oba

Founder

Medical Laboratory Scientist and data engineer, four years clinical. Published AMR researcher. Built the prototype and the machine learning layer.

KJ

Kehinde Jejelaye

Engineering

Backend engineer. Responsible for the production build, the clinical data layer and system security.

MS

Dr. Mardiyyah Salah

Clinical Validation & Research

Clinician. Validated the clinical workflows the platform is built on and advised on the research behind the resistance layer, from the first sketch onwards.

AA

Ajumobi Abdulbasit

Pharma & Clinical Strategy

Pharmacist and human-centred design researcher with a drug-research background. Shaped the platform around the people who use it, and opened the first clinician conversations. Leads pharma engagement and clinical adoption.

BA

Bello Abdulazeez

Hospital Implementation

Leads the conversations with our first pilot hospital, working towards a letter of intent, and stress-tests every assumption we make about how a facility actually runs.

Our Aim

A Nigeria where no patient dies from an infection we could have treated.

Because their clinician had the right information at the right time. Health Scope exists to bring down the antimicrobial resistance mortality rate in Nigeria.

Built For

Where you come in.

You run a facility

Cloud where connectivity allows it, on-premise or hybrid where it does not. Most facilities go live in four to eight weeks. Billing, stock and claims stop leaking on day one; the resistance layer starts paying off the moment your own cultures accumulate.

Scope a pilot

You fund health innovation

A CAC-registered company, built to the Nigeria Data Protection Act, with peer-reviewed AMR research behind it, a built MVP, and active NCDC engagement. Roughly 2,500 private secondary and tertiary hospitals in Nigeria run laboratories. The overwhelming majority of them prescribe antibiotics blind.

Request the deck

You work in national surveillance

Anonymised, aggregated resistance data can feed national surveillance with NCDC. A live facility-level signal, updating as cultures come off the bench, which paper reporting has never been able to produce.

Talk data sharing

Frequently Asked Questions

What is Health Scope trying to achieve?
Three things, in order, because each one depends on the one before it. First, bring down the deaths attributable to antimicrobial resistance in Nigeria, which stand at 64,500 a year. Second, improve diagnostics and antimicrobial stewardship, so fewer antibiotics are prescribed blind and the right agent is reached for first. Third, and this is where it goes: a live disease surveillance feed built from real facility data, showing which disease is moving, where in the country, and how fast. None of it works without structured data coming off the bench in the first place, which is why we started with the hospital system rather than the dashboard.
Is Health Scope live in a hospital yet?
Not yet. The system is built and working, and we are lining up our first pilot facilities in Abuja, with a letter of intent in progress. We would rather tell you that plainly than claim deployments we do not have. If you run a facility and want to be one of the first, that is exactly the conversation we are looking for.
Where does the antibiogram data on this page come from?
The interactive antibiogram here runs on a synthetic dataset calibrated to NCDC's published AMR reports, so we can show you how it behaves without exposing any real patient data. In a live facility it is built from your own cultures, updating as results come off the bench. The demo shows the shape of the tool; your deployment shows your hospital.
Do we need reliable internet to run it?
No. Health Scope runs in the cloud where connectivity allows it, and on-premise or hybrid where it does not. The clinical workflow does not stop when the line drops. Most facilities go live within four to eight weeks depending on the deployment model.
How does this handle patient data protection?
The system is built to the Nigeria Data Protection Act from the ground up: a data protection impact assessment, a named data protection officer, encryption in transit and at rest, role-based access, and a full audit trail of who saw and changed each record. NDPC registration follows at the deployment stage, when a live facility and its data are actually in scope.
Is this another electronic medical record, or something more?
It is a full hospital information system, registration through pharmacy, laboratory and billing, so nothing has to be retyped between desks. What sets it apart is the resistance intelligence built into prescribing: the clinician sees likely resistance before empiric antibiotics go out, drawn from the patient's history and the facility's own accumulated cultures. Records are FHIR-aligned, so your data stays yours and stays portable.
Can the resistance data feed national surveillance?
Yes, in anonymised, aggregated form. A live facility-level signal, updating as cultures are resulted, is something paper reporting has never been able to produce. We are in active conversation with NCDC on positioning Health Scope as a complementary layer to national surveillance, and a Technical Working Group invitation has been extended.
Who is behind Health Scope?
AMR Scope Nigeria Limited, a CAC-registered company built by Nigerian healthcare practitioners, with peer-reviewed AMR research behind it. The team spans medical laboratory science, clinical medicine, pharmacy, engineering and hospital implementation. You can see who does what in the team section above.
Get in touch

Let's scope a pilot at your facility.

Whether you run a hospital, fund health innovation, or work in national surveillance, we'd like to talk.

hello@abimbolaoba.com · +234 812 311 7213