(GuestPost)—- No other industry needs a higher degree of efficiency more than healthcare. After all, it’s not just deadlines or quotas on the line – it’s the patients’ well-being. Inefficiency in any aspect of healthcare could not only cause dissatisfaction, but potential and unfortunate fatalities that could end up in a lot of grief as well as revenue losses.
Thankfully, efficiency-boosting measures do exist, and not all of them involve hiring more people. One in particular involves the use of computers and automated programming in order to streamline procedures, workloads, and more: artificial intelligence. To explain further, here are some examples on how AI solutions for the healthcare industry can boost efficiency.
AI Helps the Healthcare Industry Streamline Operations
Thanks to automated analysis solutions powered by artificial intelligence, many industries have begun to leverage big data to make better business decisions and fix any potential workflow bottlenecks. The healthcare industry is no exception to this.
They have to store and carefully manage vast amounts of data every day, in the form of patient records, medical histories, and prescription forms, among others. They also have to constantly improve their care-giving processes and workflow. If not, the very health and quality of life of their patients will suffer, affecting not just their bottom line but also their public reputation.
By utilizing AI-powered analytical solutions in their big data analysis efforts, hospitals and healthcare providers can check and address bottlenecks, deficiencies, and common complaints in the way they treat their patients.
For instance, problem physicians and surgeons with recurring bad patient outcomes can immediately be identified by the AI solution by sifting through complaints, repeat patient visits, and incident reports. These employees can then be given disciplinary actions or corrective training.
AI Helps Healthcare Providers and Hospitals Pick the Best and Most Cost-Effective Treatment Path
One of the biggest causes of revenue loss in the healthcare industry is wastage, which happens due to many reasons. These include, but are not limited to, excessive and/or unneeded testing for patients too sick or too healthy to benefit from them, unnecessary and expensive procedures that end up not treating the patient’s condition at all, and erroneous treatments that result in repeated patient visits or post-treatment complications.
With the use of AI solutions, the healthcare industry can easily eliminate wastage. As the industry itself is moving towards a standardized format for recording patient histories and outcomes, AI-powered automated analysis can be used to track patient treatment outcome patterns and from there identify the treatment path with the most successful turnout rate.
To put it simply, AI solutions will help eliminate guesswork when it comes to deciding the optimal treatment for a patient: which procedure is needed the most, which specialist should attend to the patient, what kind of medicine should be prescribed afterward for the fastest recovery/least complications, and others.
AI can do this by cross-checking all pertinent information such as procedure success rates, surgeon performance history, and the patient’s own medical records.
Using AI solutions can also help identify not just the most effective treatment path but also the most affordable one for both the patient and the healthcare organization. The result is a more efficient, personalized, and effective way of providing healthcare.
AI Helps Make Repetitive Diagnostic Tasks More Accurate
While no artificial intelligence-powered solution can truly replace a living, breathing health professional, some diagnostic tasks that are uncomplicated yet highly repetitive can be made more efficient by leaving it up to AI. Examples of such tasks include the visual analysis and interpretations of CT scans, mammograms, and biopsies.
By having programmed AI perform the visual inspections and interpretations of test results, not only is physician error reduced but early diagnosis and intervention is enabled, allowing for a greater survival rate and better overall prognosis for the patient. This is important especially when it comes to diseases that have a high misdiagnosis and fatality rate, such as coronary aneurysms, cancers, and brain bleeds.
An example of such accuracy is the case of the Houston Methodist Research Institute in Texas, where researchers developed a 99% accurate AI solution for detecting and diagnosing breast cancer. This rate is thirty times faster than manual interpretation of mammogram results.
With such accuracy and speed, hospitals will not only be able to more accurately and efficiently diagnose a bigger number of patients, but also save on labor costs as well as unfortunate lawsuits stemming from false positives or negatives.
Just like how various industries can leverage AI solutions to boost their efficiency, so too can the healthcare sector use artificial intelligence to provide better quality of care and attention to their patients. While there will obviously be an initial investment and a learning curve when integrating AI solutions into any professional setting, healthcare providers would do well to consider and apply them, as the benefits that will come in the long run will be more than worth the effort.