Best Prevention and Early Detection Products

Enhance patient safety with hellocare’s AI-Assisted Virtual Sitting Module. This service provides continuous, resource-efficient monitoring, supporting a high patient-to-sitter ratio. Utilizing AI technology, we detect and prevent adverse events such as falls and pressure injuries, ensuring vigilant care and immediate response when needed. Sitters can document interventions and alerts directly into the EMR via voice dictation, streamlining record-keeping without disrupting monitoring. Additionally, sitters can use verbal redirections to communicate with patients in their native language, ensuring clear and effective interaction. 

OpiSafe is an award-winning solution provider of platforms designed to manage the opioid response for prescribers, dispensers, public health agencies, and patients and their families. Their approach helps close the gap between the epidemic and the solutions that stakeholders need to respond.

Ceresti's digital caregiver empowerment platform is purpose-built to increase the knowledge, skills and confidence of family caregivers (e.g., spouses and adult children) who are managing changes in condition for a frail elderly loved one.  

Caregivers enroll and engage in a digital program that increases their self-efficacy via personalized education, proactive remote coaching and remote monitoring. Our progams are delivered via an app deployed on a dedicated tablet computer that is shipped to the home of the caregiver. A typical caregiver engages with their program for 40 minutes per week and reports consistently high satisfaction (NPS > 75).

We have demonstrated, with statistical significance, that upskilling family caregivers of frail elderly dementia patients reduces patient hospitalizations by 80% and medical costs by 53%. These results have been validated by an independent third party.

Research findings: In conjunction with researchers at Roche and the National Taiwan University Hospital and College of Medicine in Taipei, the conclusions of the study demonstrated that LungFlag™ was able to work on Taiwanese EMR data and presented superiority over criteria based selection of individuals (USPSTF) and performed better than gold standard benchmark risk model PLCOm2012 that was adapted to be used on EMR data. The results were comparable to the previous validation studies and indicates that LungFlag™ can immediately support Taiwan screening program in identifying elevated risk populations among ever-smokers and potentially also on never-smokers populations.

Predicta Med’s data-driven insights platform, PredictAITM, aims to improve the quality of care for patients with immune-related conditions and reduce healthcare costs by assisting health professionals to identify these diseases in advance of current standards. The EMR-integrated solution can assist providers in identifying individuals with undiagnosed immune-related conditions and enabling targeted interventions earlier in the course of the disease to help mitigate disease-related deterioration and complications.

To date, the models have been trained and validated on more than 7M electronic medical

patient records and 1.7M claims records

Replace existing hospital manual monitoring with Respiree™'s automated solutions to track vital signs, including heart rate, temperature, respiration, ventilation, and oxygenation, across all wards with interoperable AI (EHR or device)