In today’s world, it is rare to find an industry that Artificial Intelligence (AI) has yet to impact. Healthcare is unquestionably one such example.
According to surveys, doctors, nurses, and other healthcare officials believe that AI has the potential to contribute to patient care positively. As such, AI can lead to better health outcomes and more lives saved. Furthermore, AI can allow you to redeploy staff and create new roles. You may no longer need staff to manage basic administrative tasks. Instead, you need data analysts to help you best deploy AI.
Administration
The possibilities for how AI can positively impact a hospital’s administration are nearly endless. Here are some examples.
Scheduling
Scheduling is rarely done by pen and paper. However, most scheduling programs require a human to make significant amendments based on the insight of a shift manager. AI can schedule hospital staff to manage a near-countless array of variables. For example, AI can account for meeting governmental staffing requirements, patient ratios, skill sets, peak times, and more. The human mind cannot match the data that AI can comb through. As such, AI can create a better-staffed hospital.
Hiring
Hiring is also an area where hospitals are using AI more frequently. Hiring managers can instruct an AI program to scan for certain experiences or educational backgrounds. These programs can allow humans to perform deeper insight into resumes and reference checking. By relying on AI, hospitals can enlist human effort in the most efficient way possible. At the same time, recruitment specialists can ensure healthcare networks hire the highest-qualified and best-fitting individuals. These tools can be of massive assistance to talent acquisition professionals.
You may need talent acquisition specialists who know how to integrate AI into their practices. This may mean creating new roles or altering existing ones to ensure you get the most valuable assistance.
Recruitment
AI can also have a very positive impact on recruitment. It can find sources of talent and help human resources professionals determine where to go to find the staff they need. Recruitment professionals can use AI to determine better where they are most likely to find the best-qualified staff. This can allow staff to better attune their efforts towards the most impactful recruitment sources.
Medical
The most patient-centered possibilities when it comes to AI are medically based. Simply put, AI can save lives. The following examples showcase the ways AI is changing medical care.
Remote Patient Monitoring
First, AI can deploy machine learning to monitor each patient’s health. This strategy can be further enhanced using remote equipment, like Apple Watches. If a patient begins to show disease symptoms, the watch can alert medical teams, allowing the patient to obtain additional testing. This testing may allow for early disease detection and enable medical teams to deploy life-saving treatments.
AI may require you to shift roles and hire more individuals to monitor these devices and interpret data.
Customized Treatment Plans
Next, AI can help doctors develop treatment plans and ensure patients can easily understand what they need to do. Generally speaking, patients prefer treatment plans that human medical professionals create. With that in mind, medical staff can deploy AI to develop a plan that fits a patient’s needs and then alter that plan accordingly. Such a plan can analyze data and perform predictive analysis. Medical staff can thus identify potential risks to a patient’s health and address those challenges.
Social Determinants of Health
AI’s complex ability to sift through data can help root out even more significant contributors to health. For example, AI can help identify potential negative social determinants of health that may challenge a patient’s health. Thus, AI can help medical staff develop comprehensive plans to mitigate these challenges. AI can also connect patients with invaluable community resources, helping to remediate problems.
This increased availability of data may mean additional shifts in hiring practices. You may need to hire more individuals to help better connect patients with resources flagged by AI.
Outpatient Care
AI is also significantly impacting outpatient care — here’s how.
Remote Patient Monitoring
One example is remote patient monitoring. Thanks to devices supervised by an AI program, at-risk patients can receive alerts if they are beginning to show signs of health problems. Remote patient monitoring can be useful for patients at risk of developing complications or chronic diseases.
Medication Management
Medication management and adherence are perpetual challenges in the medical world. AI programs can work with medical staff and patients to ensure the use of prescribed medication. These programs can also monitor for side effects and warn medical staff of potential drug interactions.
Patient Education
AI can be critical in deploying patient education tools. Depending on various factors—including a patient’s diagnosis, personal medical history, and other demographic information—medical staff can use AI programs to educate patients about what they are suffering from and how they can remedy their condition. AI can prevent health conditions from deteriorating, thus reducing the need for expensive medical interventions.
Let MRINetwork Support Your Hospital
Healthcare is changing, and AI is already here. The only question is how your hospital can reap the benefits. Fortunately, there are answers. Do you need help figuring out how to incorporate the latest technology into your hiring practices? Are you looking for a comprehensive plan to build (or rebuild) your hospital?
If so, MRINetwork is here. Contact us today to learn more.