The future of RPA in Healthcare
Artificial intelligence is gaining significant momentum in healthcare and is forecast to have the potential to transform the industry, as well as the way practitioners interact with their patients. And as machine learning becomes increasingly sophisticated in analysing big data points, AI has the potential to not only transform healthcare, improve efficiency and accuracy, but set new benchmarks in enabling better patient outcomes.
What Artificial Intelligence can do?
1. Big data and machine learning in healthcare
There is an irrational fear that by embracing AI in healthcare our health ecosystem will be ‘run by robots,’ making humans redundant. This is not the truth. We are simply trying to increase the efficiency when humans are no longer be able to work on certain tasks with multitasking and then one tasks getting some errors. Is that what you want? Nope, nobody wants that. This will simply help the healthcare system to eliminate repetitive tasks and certain tasks that doesn’t need human intervention and make sure the humans to focus on doing things that need a lot of cognitive thinking which increases the efficiency by creating stress relief environment. Because when you are doing the same old tasks everyday anyone tend to get bored.
2. Automation and streamlining processes
Embracing the power of big data and machine learning can free up healthcare professionals’ time to do less mundane tasks and focus on more personalized patient care. More health businesses around the world are also now leveraging the power of AI to automate decision-making, create financial and administrative efficiencies, automate parts of their supply chains, or streamline regulatory compliance functions.
A PWC report released in 2019 revealed how AI is already being leveraged by back offices and supply chains to generate quiet efficiencies. The report highlighted how repetitive tasks may benefit from the introduction of AI and machine learning to replace or supplement human interaction. This is because unlike human interaction AI does not forget, tire, get bored with tasks, or develop repetitive strain injury.
3. Driving efficiency and better diagnostic outcomes
One of the ways AI is streamlining medical processes is by helping primary doctors fund and refer patients to specialists faster, and offer faster, more accurate and actionable insights for doctors and their patients. According to the PWC report, healthcare providers can also leverage AI tools to help their staff analyze routine pathology or radiology results more quickly and accurately, allowing them to see more patients and realize greater revenues.
Meanwhile AI and deep learning is already being used to increase efficiency with healthcare image classification. This process enables extracting information from multiple images to help healthcare providers like radiologist’s mark and file X-rays, making the process quicker, easier, and more accurate. In the UK researchers at Oxford Hospital are already using AI technology to help improve diagnosis for heart disease and lung cancer.
4. Wellness wearables and machine learning
Leveraging data and insights from ‘wellness wearables’ can also aid diagnosis and treatment in healthcare. A recent study revealed wearable devices like Apple Watch and FitBit are already able to gather sophisticated data to enable detection of health conditions such as hypertension and sleep apnea. Machine learning can sift the reams of biometric information and maximize the insights.
According to Medical Director’s CEO Matt Bardsley, technology is now not only giving people incentive to become more deeply involved and interested in their own health, but they can easily share these data sets with their health practitioners in a far more accurate and structured way.
“In the short to mid-term, patients that can easily share this wellness data with their practitioners can help save a lot of time in diagnosis and monitoring their health,” he said. “This can leave open more time for medical professionals to spend on more complex medical issues, while opening up more resources to be spent on chronic health, which is currently a significant cost burden on the healthcare sector.”
In the long-term, Bardsley said increased education in the healthcare sector about how patients and practitioners can better leverage technology to optimize and share wellness data can open up a fresh wave of opportunities to enable more ideal healthcare and a more patient-centric approach.
“The future looks promising,” he said. “The digitally enabled practitioner will be able to see their next patient well-equipped with the same wealth of data that the patient has on their own wellness apps and devices, and more. The clinical visit will be more open, accurate and efficient, while the patient and practitioner relationship will become more trusting, personalized and transparent.”
How RPA can help the healthcare sector
1. More effective Patients scheduling
MEDO can streamline online scheduling. Factors received via the appointment request, like diagnosis, location, insurance carrier, personal preferences, etc., can be gathered in a report, and forwarded to a referral management representative who makes the appointment.
Who will benefit? Simply put, everybody: an easier job for the call Centre personnel, less mistakes, more satisfied customers, and more evenly distributed appointments across doctors’ working time.
2. Continuous Improvement of the care cycle
MEDO boosts data analytics and thus it makes continuous record monitoring possible. Analysing comprehensive amounts of data increases the likelihood of more accurate diagnosis, which leads to better-tailored treatment strategies.
In fact, research is showing that automation in medical records leads to a reduction in deaths, as well as complications. Therefore, a better care cycle is one of the many positive upshots of improved analytics.
Additionally, doctors who do not have to manually track potentially exceptionally large amounts of data because MEDO can do it, can invest more time in attending to, and providing human assistance to their patients. This is yet another illustration of a paradoxically humanist outcome of RPA deployment – the fact that technology makes people matter.
3. Continuous Improvement of the revenue cycle functions (new patient appointment requests, patient pre-arrival and arrival, claim denials, billing, etc.)
Revenue cycles often involve many code changes which can be burdensome for the system. Robotic process automation is the right measure to ensure seamless adaptation to these modifications, and therefore an overall coherence.
These administrative processes get a boost from data digitization and from the automation of repetitive tasks like accounts payable.
4. Streamlined management of healthcare workflows
Read, population wellness, case and utilization management, healthcare management and coordination, or remote monitoring. Following things can be done by MEDO to streamline the management of healthcare workflows.
Transferring data from one system to another
Call centre automation
Claims processing
Banks Reconciliation
Patient on boarding
System access and monitoring
Data cleansing
Report downloading
Excel automations
Excel automations
Database updates
CCTV monitoring ETC
Published On: June 23, 2020
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