Systems | Development | Analytics | API | Testing

Fast food and healthcare, strange bedfellows you say, perhaps? That said, there are lessons that the fast food industry can teach us that apply to low-code automation in healthcare.

How we eat, exercise, work, and rest play an important role in influencing our health outcomes. It’s been established that healthcare and life sciences (HCLS) organizations can improve health outcomes when they have access to this type of data on patients to inform real-world evidence.

Supply chain shocks have wracked organizations across the globe, and healthcare and life sciences companies aren’t immune. News headlines were focused on personal protective equipment (PPE) shortages early in the pandemic, and more recently hospitals have faced shortages of much-needed medical supplies like crutches, gauze, and medications.

Whether you work in a hospital, long-term care facility, clinical lab, or a HealthTech company, all workers in the healthcare sector today are focused on value-based care and cost efficiencies. For organizations intent on streamlining processes, an analytics tool is the logical next step. Undoubtedly, embedded analytics solutions deliver the best outcomes.

The end goal of clinical technology organizations in the US and abroad is to use modern technology to bring life-saving new treatments to fruition. Leaders in this sphere help generate the evidence and insights to help biotech, pharmaceutical, medical device, and diagnostic companies accelerate value, minimize risk, and optimize outcomes. Life sciences clients recognize that technology is the answer to inefficiencies and delays in delivering new treatments to the public.

Image credits: Julia Sowells With the onset of the COVID pandemic in 2020, the use of telemedicine and telehealth services has soared. An article by McKinsey estimated that in 2021, the use of telehealth was 38 times higher than pre-COVID years.

The pandemic changed our healthcare behaviors. Planned hospital and doctor visits were reduced while telemedicine, for physical and mental health, increased. As healthcare providers and insurers/payers worked through mass amounts of new data, our health insurance practice was there to help.

Vaccine development became the top priority for the life sciences industry – delivering new vaccines at unprecedented speed and maneuvering large-scale production processes. Numerous factors helped accelerate the vaccine roll-out including prior research, genome sequencing, jumping the FDA approval queue and a plethora of testing volunteers. So now that we’ve experienced these advancements, how can the industry keep momentum to speed-up innovative solutions across healthcare?