WiGroup has been deeply involved in the healthcare digitalization field for many years, and has accumulated deep industry knowledge and rich experience in clinical information design, and is well versed in medical business logic and clinical practical pain points; the WiGroup team has professional medical communication skills and can accurately connect with medical and nursing demands and efficiently align demand boundaries. From customized solution design, scenario-based function polishing to project implementation, the entire process has mature professional-level delivery capabilities to ensure that the project can smoothly adapt to clinical business operations.
Moving the mouse to the right or up increases blood pressure; moving the mouse to the left or down decreases blood pressure. You can also use the direction keys to operate and press Home to return to normal.
Allow specialist capabilities to span physical wards, covering unified management and control within the hospital and extended services outside the hospital.
WiGroup Endocrinology Cloud Ward is a device-cloud integrated disease-specific care management platform for endocrinology specialists. Patients with abnormal blood sugar and endocrine and metabolic diseases scattered in various wards in the hospital will be included in the cloud disease-specific care management pool. The endocrinology specialist team will be on duty to remotely access medical records, conduct ward rounds and consultations, and adjust treatment plans.
Out-of-hospital services can be extended to post-day surgery and chronic disease patients recovering at home, supporting video rounds, online education, medication reminders, physical sign reporting and remote follow-up, helping hospitals relieve bed pressure and allowing patients to continue to see their recovery process after leaving the hospital.
Centralized presentation of ward, ward round status and patient information brings patients scattered in different departments into the management vision of the endocrine team. Key blood sugar and blood pressure abnormalities are clearly marked, allowing specialists to quickly screen, take over and continuously track ward round records.
Video communication is associated with medical record summaries, monitoring data, and prescription records on the same work interface. Doctors can complete information verification, remote consultation, plan adjustment and process traces without repeatedly switching between multiple systems, allowing virtual ward rounds to truly enter the daily diagnosis and treatment process.
The patient terminal brings together blood glucose reporting, online registration, virtual ward rounds records and health education in one portal; monitoring details present results by time period and identify target ranges, and support uploading of supplementary information to facilitate quick review by medical staff during follow-up visits.
Integrate standardized diagnosis and treatment paths and family-oriented service experience throughout prenatal, intrapartum and postpartum periods.
WiGroup helps obstetrics departments deeply integrate standardized care ward with full-cycle digital services: complete prenatal filing, prenatal check-up appointments, report viewing, pregnancy education and standardized care ward appointments, and inform standardized diagnosis and treatment paths in advance; the mid-partum period is equipped with family-based integrated wards and digital management to promote the homogeneous execution of delivery care paths.
The standardized rehabilitation program is continued after delivery, and out-of-hospital services are extended through pregnant women’s school, home rehabilitation guidance and maternal and child health monitoring, forming a closed-loop care from hospital preparation to discharge follow-up, helping the department continue to improve the delivery service experience.
The large screen in the delivery room aggregates gestational age, expected delivery time, nursing level and responsible personnel by room to support shift handover and bed scheduling; the delivery and anesthesia collaboration screen centrally displays process indicators such as fetal heart rate, blood pressure, cervix, and pain scores on a timeline, reducing information breakpoints in cross-post collaboration.
A well-defined data set is formed around obstetric quality control, delivery records and special indicators, retaining numerators, denominators, statistical months and abnormal prompts, providing a structured basis for quality improvement, scientific research statistics and standardized data export.
Pregnant and postpartum women can complete model ward reservations, registration, online consultation and check health indicators on the mobile terminal; postpartum scales, health education and follow-up tasks are provided according to stages, helping the medical team to understand the recovery situation in a timely manner and letting the mother know what to do next.
A mobile phone, a sit-up, let AI understand the health signals of every stand-up and walk.
In response to the requirement of "moving the gate forward" for elderly health, this software is oriented to hospitals and primary healthcare institutions, providing a convenient risk preliminary screening tool for functional decline in the elderly such as sarcopenia. Medical staff only need to use their mobile phones to film the elderly people completing a "Timed Up and Go (TUG)" test and upload it, and the system can generate a preliminary screening report for falls and sarcopenia risks.
Before recording, the App performs real-time quality control on the human body in the camera, full body visibility, light and camera position; the server runs a 33-point human skeleton posture analysis on the entire video to identify the complete action chain and accurately time it. Parameters adapt to body shape, clothing and venue lighting, and are truthfully marked when measurements cannot be reliably performed; doctors can calibrate key time points to form traceable gold standard data.
Use boundariesIt is used as an auxiliary for risk screening and follow-up, and does not replace a doctor's diagnosis.
The main and auxiliary mobile phones can quickly collect data collaboratively through QR codes or pairing codes. Before recording, on-device AI checks in real time whether the human body is completely in the frame, whether the light is sufficient, whether the camera position is stable, and whether the shooting distance is reasonable; if the conditions are not met, it will clearly prompt to readjust, reducing invalid videos from the source.
The server side displays the original video, human skeleton posture and stage parameters side by side, automatically recognizes key actions such as standing up, walking, turning and sitting down and accurately times them. Recognition parameters adapt to the scene, and items that cannot be measured reliably are clearly marked, without guessing values to fill in the results.
Doctors can review the original video and calibrate key time nodes and action clips such as standing up, turning around, and sitting down. The confirmed annotations form a versioned and traceable gold standard sample, which provides a basis for subsequent model evaluation and iteration, allowing AI results and clinical judgment to complement each other.
