Hospital Capacity Management

The pandemic showed us what hospital administration has been fearing all this while, a severe lack of capacity management. The current management system has been described as inefficient and consumer-unfriendly by all stakeholders involved. Capacity Management deals with the management of patient load and allocation of resources to the patients, it plays a vital role in patient experience and the patient survival rate in the larger picture.
There has been a lot of talk revolving around capacity management in the wake of overcrowded hospitals, lack of oxygen cylinders, and a burgeoning black market for drugs. The global medical community has faced an unprecedented strain on its facilities and its resources have been stretched to the brim. There has been a global call to action to better mitigate future possibilities of a similar scenario. Experts have increasingly pointed towards the betterment of technology and more specifically towards artificial intelligence to make the all-important capacity management decision more streamlined and less prone to inefficiency and human error.

Technology in healthcare is not new, there has been a growing integration of technology in healthcare, it is largely being referred to as ‘health- tech’ or ‘health technology’. Innovations around health-tech have quite evidently led to better patient experiences, shorter turnaround times, and a reduced costs incurred by the healthcare facilities. Patients now have access to products that can monitor their heartbeat and pulse, these services were earlier reserved only for routine health checks, in the presence of medical authority, but now it is out there to be monitored on a daily basis, in a domestic environment. This advancement has also helped doctors to consult patients across the globe, even those in places with blurred geographical lines.

Research has shown the power of AI for streamlining resource allocation in medical facilities. As with the case of other industries, Healthcare has also been nudged to leverage the power of computers to make processes more efficient. It is believed that the use of AI in critical fields like healthcare can significantly reduce human errors. The health-tech industry, therefore, is building on solutions to the most commonly found bottlenecks in the emergency department which arguably is the first point of entry for most patients and is, subsequently, the primary loophole in the overall problem. Several SAAS firms have already rolled out their innovations in the market and they have been put to good use right away.

AI is being used to streamline the insurance claim process which costs the hospitals a significant amount of labor hours. The technology assists the eligibility check process and the subsequent data migration, swiftly and effectively.

This particular solution has proven to be a success and has increased patient satisfaction levels, and is now widely used across facilities in the US.  Another software that aims to manage the patient load through AI and helps capacity management on the ground level, seeks to allocate emergency rooms based on the severity of the illness, this leads to a significant drop in the patient service turnaround time.  These are just some of the examples in the world of health technology that is changing by the minute. The dynamic nature of these industries can be intimidating. The Expert Insights hosts many Subject Matter Experts (SMEs) who bring with them years of experience and knowledge, in the implementation processes where varied new technology, as well as their application, is needed for the smooth management of the healthcare sector.

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