Biometric Precision for Hospital Safety

HFSecurity’s hospital biometric solution integrates fingerprint, facial, and iris recognition to ensure patient identity security and provide secure access. The end-of-line consumer terminal utilizes contactless palm vein recognition to prevent bacterial transmission and enhance safety.

Core-technology-solution-medical-grade-biometric-central-platform

Do you encounter the following problems?

What can HFSecurity provide you?

1.Core Technology Selection and Integration:

Integrating fingerprint, facial, iris, and palmprint technologies, using different technologies based on different attributes.

2.Key Application Scenarios

  1. Registration/File Creation: Biometrics are collected for the first time and linked to the electronic health card/medical record number.
  2. Triage/Waiting: Quickly check in with facial or fingerprint recognition, with information automatically pushed to the doctor’s workstation.
  3. Doctor’s Consultation: Rapidly confirm the patient’s identity in the clinic and retrieve accurate medical records.
  4. Testing: Blood sampling, X-rays, and ultrasounds confirm that the patient’s identity matches the test items.
  5. Medication Collection: The pharmacy accurately verifies the recipient’s identity and prescription.
  6. Admission/Ward Rounds: Rapidly confirm the patient’s identity and nurses verify the patient’s identity during rounds.
  7. Surgery/Anesthesia: Multiple biometrics ensure the accuracy of the patient, surgical site, and procedure.

Payment for registration fees, medications, and examinations is completed with facial or fingerprint recognition, reducing waiting times.

  1. Access Control: Biometric access control is implemented in key areas (pharmacy, ICU, laboratory, and information center) to record entry and exit information.
  2. Special Population Management: Newborn anklets/tags combined with maternal biometrics to prevent wrongful birth; psychiatric/geriatric departments to prevent lost children.
  3. Employee Attendance and Management: Accurate attendance and permission management for medical staff.

Log in to the self-service terminal using face/fingerprint recognition to handle transactions, query reports, and obtain navigation instructions.

  1. Data Storage: Biometric templates are encrypted and stored locally.
  2. Data Transmission: Secure encryption is used for transmission using algorithms such as the Homepage algorithm.
  3. Compliance: Strictly adhere to the Personal Information Protection Law, the Data Security Law, medical industry data security regulations, and information security standards. A clear notification and consent mechanism is implemented.
  4. Access Management: Strict control over access rights to biometric data.
  5. Technical Methods: Liveness detection (to protect against photo/video/mask attacks) and multimodal fusion enhance security.
  1. Provide a standard API interface;
  2. Easy integration and compatibility

Six application scenarios reshape the medical process

Scenarios

Traditional pain points

Các giải pháp

Value realization

Outpatient record creation

Flooding of false information

ID verification + fingerprint binding

100% elimination of fraudulent medical treatment

Triage and waiting

Queue-jumping disputes

Automatic check-in with facial recognition + smart queuing

Waiting order improved by 65%

Doctor consultation

Mistakes in medical record retrieval

In-office facial recognition for instant access to electronic medical records

40% improvement in consultation efficiency

Testing and examination

Sample identification errors

Biometric linking of sample tubes

Testing error rate reduced to zero

Inpatient management

Unauthorized patient discharge

Facial recognition gates in ward entrances

90% reduction in accidents

Medication dispensing

Mismatched identity of recipient

Two-factor authentication (face + prescription code)

Improvements in fraudulent claim incidents

Leveraging 20 years of experience in biometrics, HFSecurity builds a precise, secure, and efficient identity governance hub for medical institutions. By integrating medical-grade facial recognition (>99.3% accuracy in mask mode), palm vein liveness detection (FAR 0.0001%), and iris critical care adaptation technology, HFSecurity addresses key pain points in outpatient clinics, ICU patient identity verification, and newborn security authentication.

 

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