When you as the patient visits a hospital, your major concern is always all about getting quality healthcare service on time without facing zero difficulties in terms of convenience.
Same as you, hospital authorities such as doctors and nurses have a similar concern – giving you quality care while providing you with remarkable hospital experience.
But unlike your concerns, their concerns require efforts of all staff members, coordination between all departments, availability of healthcare facilities, proper usage of healthcare software and easy access to medical data of patients to not bring concerns into life to create havoc!
This many practices on a large scale by default seem impossible, leaving a large window open for human errors and service delay which definitely affect patient experience and health.
Here is where AI and RPA technologies come to rescue. It handles labor-intensive parts of healthcare professionals’ jobs and only leaves crucial and light-weight parts of the jobs for them. This results in less-burdened staff who can easily provide remarkable patient experience and enhance patient outcomes.
But how do hospitals use AI and RPA to improve patient experience and health? Let’s find it out.
Before that, we need to understand AI and RPA technologies which are two different technologies but they can be combined to multiply benefits.
AI and RPA – A Lethal Combination
Let’s first start with AI.
AI is the technology or group of algorithms that gives intelligence to a software program to make decisions by itself.
Whereas, RPA is the technology that builds software bots that automate a process.
At first glance, it is hard to find a link between AI and RPA. But there is one very significant one!
A software bot developed using RPA technology can only automate a basic process with fixed input and output. But if we develop RPA bot using cognitive RPA – which leverages AI and machine learning technologies – the software bot can automate a more complex process with its ability to make decisions by itself.
Same way, an intelligent program developed using AI technologies can only find patterns or insights out of big data. To automate a task based on these patterns and insights, RPA should be linked to AI software.
So, now when you know about RPA and AI, let’s come to the point.
5 ways hospitals enhance patients experience and health using AI and RPA
Appointment Booking & Management
Here is where the patient journey starts. And here is where hospitals should be more attentive to treat patients exceptionally well.
Generally, hospitals book appointments on phones. Calling hospitals, discussing requirements, inquiring doctor availability, and booking the appointment are time-consuming and tedious tasks for patients.
Things get worse when the hospital cancels the appointment and forgets to inform the patient due to human error or negligence. This severely affects patient experience and delays the care.
The appointment booking system working on AI and RPA executes several tasks automatically and facilitates patients to quickly book the appointment.
- It allows patients to book appointments using the web or mobile interface.
- It allows patients to know the time slot availability with a single click.
- It answers the questions asked by patients in seconds.
- It automatically books the appointment and sends the confirmation to the doctors and patients.
- It automatically reminds the doctor and patient for the upcoming appointment.
- In the event of appointment cancellation, it alerts the patient.
- It allows hospital management staff to know how busier the hospital will get on a certain day and what number of staff hospitals will require to manage patients effectively.
This way, the AI and RPA-enabled appointment management system in the hospital helps patients to easily book appointments and helps hospitals to prepare for the upcoming appointments with sufficient staff.
Once you book the appointment and present yourself at the doctor on the day of the appointment, the doctor asks you general questions regarding your health and utilizes his knowledge and experience to know the health problem you are facing.
Based on this conclusion he just reached using a shallow approach, he prescribes you and you get the medications.
This is undoubtedly the best way to treat patients having a cough. But when there are complex health issues, doctors don’t play the guessing game. They rely on AI-enabled diagnosis software.
In AI-enabled diagnosis software, the doctor feeds the patient’s current biometrics data. The software has already millions of biometrics data and health problems related to those biometrics conditions.
The intelligent software then compares the patient data added by doctors with the rules the software has made based on the historic data it has. With this comparison, the software identifies the health problem the patient has and also suggests treatment.
Imagine, how accurately a doctor can treat patients with such useful and intelligent diagnosis software!
Doctors need real-time patients’ biometric data to evaluate their health conditions and treat them according to it. Biometric data include oxygen level, glucose level, heart rate etc.
To record such biometric data, hospitals use patient monitoring devices. But the major disadvantage of these patient monitoring devices is that doctors or nurses manually use it to check the biometric value of patients.
Patient monitoring devices working on RPA technology automatically collect patients’ biometric data after certain time intervals and save that data on a database that can easily be accessed through mobile and web interface.
Here, AI plays a vital role in data analysis to let doctors know whether the health condition of the patients is improving or not.
In essence, RPA and AI together reduce many tasks for hospital staff and give important health data to doctors to make effective treatment decisions.
The quick and precise collaboration between hospitals and pharmacy stores is needed to deliver the right medications to patients at the right time.
Nowadays, doctors in all major hospitals prefer to prescribe electronically using e-prescribing software. Such software works on RPA which automatically sends prescriptions to the pharmacy stores.
It also stores written prescriptions to the separate folder under patients’ medical history to easily access prescriptions in the future.
Not only this, but it automatically sends reminders to the patients to take medications at the right time.
If you aren’t covered under the government health plan, you receive the invoice. Though invoicing seems an easy task, it is the most time-consuming task for hospitals and in case of an error in an invoice, it eats up time of both patients and hospital staff which downgrades patient experience.
RPA can completely automate the invoicing process. Most importantly, it eliminates possibilities of errors and frees up engaged staff from repetitive invoicing tasks.
The RPA bots activate itself or by human command or at the fixed time, prepare the master invoice file, add new invoices in the master invoice file, extract each invoice from the master invoice file and send each invoice to related patients. Since RPA bot works accurately, there isn’t a possibility for error in the invoice.
Hospitals and healthcare professionals are under overwhelming pressure to handle the intake of patients without affecting their patient journey. Such pressure many times leads to errors. And errors in the healthcare industry have never been accepted.
The fusion of RPA and AI technologies can eliminate the scope of errors by taking control of time-consuming and repetitive tasks. It frees up the staff for important tasks and ultimately enriches the patient experience and health.
In this blog, I have discussed 5 ways hospitals are using AI and RPA to improve your health. These 5 ways must be unknown to you till now. So next time, when a doctor diagnoses and prescribes you and you start feeling better instantly, remember to say thank you to the RPA and AI engineers as well!