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Use Case Healthcare

Patient Admission
& Admissions Management

Insurance data automatically captured, previous conditions extracted from referral letters, consent obtained digitally, bed assigned. From first contact to the ward, without paperwork.

Why Patient Admission Is a Lever

45 minutes of administration before treatment even begins

Every inpatient admission starts with an administrative marathon. Read insurance card, verify demographics, take medical history, record medication list, obtain consent signatures, private patient agreement, assign a bed, enter the admission form into the HIS. 

Per patient: 30-45 minutes of pure administration before a clinician sees the patient.

For a hospital with 300 beds and 15,000 inpatient admissions per year, that is 7,500-11,250 hours of administrative effort on admissions alone. That equates to 4-6 full-time staff. Nurses who are missing from the bedside. Clinicians filling in forms instead of examining patients.

And the errors: wrong NHS number, missing consent, unrecorded allergies, duplicate patient record. Every error creates rework, or worse, a clinical risk. The problem is not a lack of care, but a paper-based process that does not scale for today’s patient volumes.

How the Process Changes

Before / After

⏱ Before — 45 Min per Patient
Patient arrives
Reception, admissions desk
Read insurance/ID card
Manual, card reader
⏱ 5 min
Check & supplement demographics
Address, next of kin, GP
⏱ 5–10 min
Take medical history
Verbally, onto admission form
❌ Incomplete, time-consuming
Paper consent forms
5–8 forms to sign
⏱ 10–15 min
Bed assignment
By phone with the ward
⏱ 5–10 min
Enter everything into HIS
Manually typed
⏱ 10–15 min
⚡ After — 15 Min per Patient
Digital pre-registration
Patient completes online (before admission)
⚡ Demographics already there
ID card auto-processed
Data straight into HIS
✅ No manual typing
Previous findings auto-extracted
AI reads referral letters, diagnoses, medication
✅ More complete than verbal history
Digital consent
Tablet, electronic signature
⚡ 3 min instead of 15 min
Automatic bed assignment
Based on specialty, availability
✅ In seconds
HIS fully populated
Automatically, no rework
📊 15 min total
45 minutes 15 minutes

Administrative effort per inpatient admission

15 min (after) 45 min (before)
The Solution in Detail

How We Automate Patient Admission

01

Digital Pre-Registration & ID Card Integration

Patients complete demographics, medical history and medication list digitally before admission, via a link on their smartphone. On arrival, the ID/insurance card is read and data flows automatically into the HIS. No manual typing.

Power App for patient portal. Insurance/ID card integration. Automatic matching with existing records in the HIS (SAP IS-H, Orbis, iMedOne, Dedalus). Duplicate checking. Insurance validation.

02

Automatic Previous Findings Extraction

AI extracts from referral letters, previous discharge summaries and results brought by the patient: diagnoses, medication, allergies, relevant medical history. Structured into the HIS, more complete than any verbal history.

🟢 Extracted – Diagnoses, medication, allergies identified
🟠 Uncertain – Clinician checks flagged items
🔴 Critical – Allergy/interaction detected, alert raised

03

Digital Consent & Private Patient Agreements

Consent forms, data protection, private patient agreements – digital on a tablet with electronic signature. Automatically filed in the patient record. No missing signatures, no paper backlog.

Tablet-based forms, configurable per department and procedure. Automatic filing in the digital record. Audit trail for consent documentation. Multilingual.

04

Bed Management & Admissions Dashboard

Automatic bed assignment based on specialty, isolation requirement, gender, private patient status. Dashboard: occupancy, planned admissions, expected discharges, bottlenecks.

Power BI dashboard. Real-time occupancy overview. KPIs: admission time, occupancy rate, waiting time, missing consents. Forecast: occupancy next 48h.

UiPath
KIS (SAP IS-H, Orbis, iMedOne)
eGK/VSDM
ABBYY (Arztbrief-OCR)
Azure AI (NLP)
Power BI
Results

What Admission Automation Typically Delivers

−65%

Less admission
time

0

Missing
consent forms

+40%

More complete
medical history

−80%

Manual data
entry

The greatest lever is not the time saved, but data quality. An automatically extracted medication list from a referral letter is more complete than any verbal history taken from a stressed patient.

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Ready?

How long does a patient admission take at your hospital today?

Let us look in 30 minutes at how digital pre-registration and automatic data extraction can speed up your admissions and improve data quality.

No sales pitch. Just an honest assessment.

120+ Clients.   100% Satisfaction.   7 months to Profitability.

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