With the substantial improvements of automation technology and all the increasing ways it is being used to help businesses, we are now seeing it shift to the healthcare industry. It’s no surprise that the healthcare industry is always in need of the newest and most advanced technology, and automation could be just the thing to ameliorate this need. With the incorporation of artificial intelligence, automation technologies will be able to perform tasks that once required human labor. Applying these advances within the healthcare industry, healthcare facilities and professionals can expect to see filled staff vacancies, reduced money expenditures, improved facility efficiency, and predicted patient admissions.
Filling Staff Vacancies
The healthcare industry is in high demand of competent, qualified individuals who have obtained all of their certifications, including having received a BLS renewal online. Over the years to come it is expected to see an increase in job availability for several healthcare professionals in the healthcare industry. Registered nurses can expect a 16% job growth rate between now and 2024, nursing assistants and orderlies can expect to see a 17% job growth rate, while physicians and surgeons can anticipate a 14% job growth rate within that same time period. This constant need of trained healthcare professionals can often leave healthcare facilities short staffed. However, with the help of artificial intelligence and automation technologies, the healthcare industry can anticipate needing less staff. As automation technology steps in to perform simple tasks, it will fill the void of vacant positions and allow those individuals currently working at healthcare facilities to dedicate their time on more important responsibilities.
Saving Facility Costs
The use of automation can also help reduce costs spent within the healthcare industry. It is reported that 50-60% of healthcare facility expenses originate from the cost of paying the salaries and benefits of facility employees. Automation technology can be used to perform simple tasks normally required of staff members. With the implementation of automation technology, healthcare facilities can consolidate their staff and reduce their expenses.This new technology will be able to save current staff members time as well as save healthcare facilities the expense of hiring additional health care professions.
Improve Facility Efficiency
In addition to filling staff vacancies and eliminating facility expenses, automation technology can be used to improve the overall efficiency levels of healthcare facilities. By filling staff vacancies, automation technology can help current staff members avoid being overworked and making mistakes while tired. Void of human error, automation technology can create accurate reports and perform other tasks without making mistakes. Automation technology can be used to improve both the quality and consistency of basic work orders and tasks. The use of automation technologies can also have the potential to cut down on paper waste.
Predict Patient Admission Rates
Another exciting area that the healthcare industry can apply artificial intelligence and automation technology is within the ability to forecast patient admission rates. With the help of machine learning and big data, automation technologies will be able to predict the number of admissions a healthcare facility will have at any given time. This predicted number will allow for these facilities to better prepare for their anticipated number of patients, either by having enough staff ready to work, surgeries scheduled at the most opportune times, and the right type and amount of supplies stocked.
While this application of big data analysis to predict patient numbers is currently in an experimental stage, it still has a very promising outlook. This new application of big data analysis, artificial intelligence, and automation to predict admission rates is based on both internal and external data. In addition to a wide variety of resources, one form of internal data that this technology study includes ten years of past admission records. With these records and other data, machine learning programs try to detect possible patterns and trends. This combined analysis of resources that allows for predicted admission rates is built on the open source Trusted Analytics Platform (TAP). TAP was specifically chosen for this technology because of its capacity to handle and interpret large amounts of data. The healthcare industry can take advantage of this data and use automation technologies to predict patient admission rates and improve their facilities.
Automation technology is a fast improving and exciting area of work. Along with other forward thinking businesses, the healthcare industry can anticipate using automation technologies in order to fill staff vacancies, save money on expenses, improve facility efficiency and consistency, and forecast future patient admission rates.
