Clinical decision support (CDS) helps clinicians select appropriate medications, arrive at a correct diagnosis, and improve intraoperative decision making. Through interviews with health system executives, clinicians, and artificial intelligence (AI) experts, this study presents multiple perspectives on selection and adoption of AI-CDS in healthcare. Four emerging trends are presented: (1) AI must solve a priority problem; (2) the tool must be tested with the health system’s patient population; (3) it should generate a positive return on investment; and (4) it should be implemented efficiently and effectively.
KnowFalls Platform Application: Patient Fall Prevention
Patient & Family Impact
Total US Cost > $50 Billion
Although the above videos were published in 2012, patient falls remain a major problem. Patient falls occur at a rate of 3-5 per 1000 bed-days, and within nursing homes half of the 1.6 million patients fall each year - Patient Safety Network, Agency for Healthcare Quality and Reseach. HHS.
AI-based Patient Observation Reduces Patient Falls
The KnowFalls Platform identifies a patient bed exit attempt and alerts caregivers to intervene and reduce falls. The Platform via a camera, half the size of an iPhone, captures all room activity. Simultaneously, the Platform's artificial intelligence engine locates the patient's bed, analyzes all patient movements, recognizes room/bed conditions, and determines if a bed exit attempt is in progress. Immediately, an alert and real-time patient video is transmitted to a predesignated caregiver's smart phone and/or a nursing station display.
Expanded Features, FDA Registration & HIPAA Compliance
KnowFalls was launched by experienced healthcare professionals partnering with the support of leading video and articifial intelligence processing partners.