In the ever-changing race of life in NICU, medical staff are like conductors in crisis, capturing key melodies in massive amounts of data. The Critical Care Unit (NICU) CDSS of Likang Group is a "NICU quartet" consisting of four intelligent modules: blood oxygen, heart rate, nutrition, and infection control. It provides a "super external brain" for AI intelligent decision-making, making every life care more relaxed.

Blood oxygen module

Balanced string sound

The use of oxygen in newborns, especially premature infants, is like walking on a tightrope, and the dual risks of high and low oxygen make the target range of 90-95% seem like walking on thin ice. As the "first violin" of the quartet, the blood oxygen module is not only an alarm, but also an "oxygen therapy strategist". It uses intelligent partitioning and continuous analysis of the proportion and oxygen usage patterns of children in different risk zones, transforming vague "sensations" into quantitative oxygen usage baselines and risk estimates. Enable medical staff to have a clear understanding of risk patterns, thereby assisting in making more forward-looking oxygen therapy decisions and improving the quality of clinical management.

Heart rate module

Deep warning

The heart rate module is the steady "cello" in a quartet, which not only plays the "main melody" of heartbeat, but also deeply listens to and analyzes the slightest "harmony" changes in heart rate variability (HRV). It can detect organ function damage in advance, predict the risk of neonatal sepsis, transform intangible risks into tangible and early intervention warnings, and win crucial time for treatment.

Nutrition module

Harmonious fugue

Nutrient intake is closely related to the physiological trends of newborns, but these data are often isolated and difficult to form a dynamic overall judgment. The heart rate module is the "viola" that connects the past and the future in the quartet, and is the "intelligent nutrition consultant". It integrates basic data such as weight, blood sodium, and urine output changes of pediatric patients, as well as multidimensional data such as calories, macronutrients, and intravenous nutrition components required for nutritional management. Through intelligent dynamic trend analysis, it provides a benchmark for nutritional and fluid intake management of critically ill newborns in clinical practice, reducing the risk of edema and ectopic growth restriction.

Infection control

Defensive chord

Infection control and infection risk stem from the superposition of multidimensional factors, and human integration is prone to negligence. As the finishing touch of the quartet, the infection control module constructs a powerful "defense chord", integrating autonomic nervous system function indicators, inflammation data, and clinical risk factors. Through intelligent analysis, it detects the risk of sepsis in advance and reminds medical staff to intervene in a timely manner. At the same time, the system conducts comprehensive analysis and evaluation of pathogens, antibiotics, and invasive operations, upgrading "single point monitoring" to active "three-dimensional defense", assisting intelligent decision-making, and reducing the risk of infection in newborns.

Make the cold data

Play beautiful harmonies that protect life

Supported by the core module of the "NICU Quartet", the critical care child life indicator monitoring and decision-making assistance system seamlessly integrates NICU predictive insights into clinical workflows through powerful computational intelligence (CI) and machine learning (ML) dual engine driving. This is a leap from the "data chain" to the "decision chain", making hidden risks explicit, installing a "super external brain" for intelligent decision-making, and helping experiential decision-making move towards data-driven.

HealForce Biomedical is committed to building an AI digital system from data collection and intelligent analysis to assisting in diagnosis and treatment decision-making, establishing a new ecosystem of digital twin intelligent NICU centered on pediatric patients, data-driven, and human-machine collaboration, and setting a new benchmark for pediatric medicine.