Challenges
• Funding: Needed to secure funding to establish and maintain the infrastructure and solution platform.
• Talent: Had to ensure the right staff to support the command center. It is very important to identify key people who can ensure continuity to the change management across the project and facilitate continuous and efficient communication that allows adherence of the stakeholders throughout the life of the project.
• Executive and staff engagement, communication, and commitment to the process to make it successful.
• Organizational and cultural change management: The healthcare organization needed to embrace new processes to manage data and access to information, and knowledge for care delivery. Command Center means democratizing information providing all stakeholders with access to the same information, resulting in a cultural transformation.
• Adaptive and complex Health Systems: Ability to change and learn from experience but very complex at the same time due to the diverse number of social actors that converge. Hospitals are organizations where decision making is delegated to
Solution
• Dedalus Command Center uses new generation technologies to follow-up, control, and monitor organizational processes’ information, surgical operations, and emergencies and hospitalizations, in real time, for both resources and clinical information management.
• Detect risks that affect deviations in care activity, as well as offer decision-making recommendations for professionals to manage the necessary resources avoiding saturations and bottlenecks that accompany the clinical decision based on valuable algorithms and rules.
• Represent behavioral predictions, which offered the hospital projection models to improve decision making.
Results
• Increased Operating Room (OR) utilization through Command Center with improved first case on time starts, improved prime-time utilization, and reduced need for over-time.
• Reduced waiting list times for common surgeries in numerous specialties such as thoracic surgery, cardiology, urology, angiology and vascular surgery, orthopedics, and traumatology.
• Proof of Concept on AI/ML based Demand and Capacity planning showed that the hospital can increase OR utilization with more accurate case duration estimates based on procedure details and patient factors.
• Initial project outcomes from the Command Center Team identified gaps around planning, improving specific services planning by 10% to 40% depending on surgical specialty.
• Reduced same-day cancellations to rates aligned with national standard benchmarks through real-time alerts with action plans.
