Hospital ERs & EMS Under Mounting Pressure

A primary driver of emergency room delays is "boarding," a situation where patients admitted to the hospital have no place to go. Because inpatient beds are full — often with patients awaiting transfer to long-term care facilities — ERs become holding areas, preventing new patients from being seen. Many hospitals now operate at or above 100% capacity, leaving no slack in the system. This gridlock is a symptom of a much larger, global issue: a critical shortage of healthcare workers. The World Health Organization projects a shortfall of 10 million health workers by 2030, a crisis intensified by the COVID-19 pandemic. This deficit of trained professionals impacts every facet of care, from understaffed nursing homes unable to accept new patients to overwhelmed hospitals. On the front lines, Emergency Medical Services are also buckling. In some U.S. cities, EMS call volumes have nearly doubled over the past few decades, with a third of calls often occurring simultaneously, leaving no ambulances available. This surge in demand is met with significant staffing vacancies—as high as 39% for EMS positions and 55% for paramedics in some areas—creating a perfect storm of more calls and fewer people to answer them. To combat these pressures, healthcare is turning to technology, creating new career paths at the intersection of biology and data. Artificial intelligence is being developed to help with triage, predict patient needs, and analyze diagnostic images faster than the human eye. Telemedicine platforms are also expanding to allow for remote consultations, reducing the number of non-critical patients heading to the ER. This opens a career choice: tackle these problems in a patient-facing role, or from a tech-focused one. The traditional path of medicine involves years of med school and residency to become a physician. Alternatively, a graduate degree (M.S. or Ph.D.) in fields like biomedical engineering or computational biology can lead to developing the next generation of medical devices and analytical tools. A day in the life of a computational biologist might involve writing code to analyze genomic data from a hospital's cancer patients to identify treatment patterns. In contrast, a biomedical engineer could be in a lab designing and testing new wearable sensors that allow for remote monitoring of vital signs, a technology that helps keep at-risk patients out of the ER. Beyond the lab, there are other non-patient-facing careers that are crucial. Life science consultants, often with a Ph.D. or M.S., advise biotech and pharmaceutical companies on which new technologies to invest in. Product managers with a science background guide the development of new health tech, working across engineering, marketing, and regulatory teams to bring a product from an idea to the hands of doctors and patients.