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10 Applications of Intelligent Automation in Healthcare
Fadi Haddad
April 15, 2022
New technologies are reshaping health-care in the modern world. Consumers, providers, and the government all play a role in delivering health-care, from how it is accessed to how it is paid for and the health outcomes it produces.
Healthcare Payers and Providers are increasingly using advanced technologies like cloud, analytics, Automation technology/ML, and Automation to improve various functions, such as patient engagement, claims adjudication, inventory management, risk adjustments, and billing management, to a greater extent than ever before. In the healthcare industry, Automation technology has been employed to improve operational efficiency.
Automating non-standard processes is now possible using a combination of automation technologies, such as Robotic Process Automation, Natural Language Processing (NLP), digital twins, and Artificial Intelligence (AI). As a result, healthcare organizations can streamline processes, strengthen business resilience, decrease risk, and produce essential business insights thanks to Intelligent Automation technology.
It is the combination of RPA with AI and ML known as Intelligent Automation (IA). AI and machine learning (ML) automate decision-making, whereas robotic process automation (RPA) automates the process' manual next steps.
RPA and OCR, for example, can be used to automate repetitive and time-consuming administrative operations, such as logging test results and processing health claims, in healthcare businesses. In exchange, human workers can focus on higher-value tasks while digital workers (a.k.a. intelligent Automation) operate at machine speed, reducing errors and improving patient care.
Computer vision, machine learning, and robotic process automation can all be used to automate eligibility checks and prior authorizations in healthcare, which are currently time-consuming and error-prone.
For example, an Automation workforce may securely access EMRs, check insurance information, and validate benefits quickly and accurately. You can also determine prior authorizations, automated submissions made, statuses checked, and approvals and reimbursements sped up using healthcare Intelligence.
In healthcare, claims administration is becoming increasingly difficult. Claims are completed and submitted faster and more precisely by a digital workforce that logs in to different systems, and completes processes, seven times faster than a human. Once a claim is made, its status is monitored and updated daily, alerting the staff to claims requiring attention and human involvement.
You can accomplish Pre-populating ICD codes by using AI systems that use RPA, computer vision, and natural language processing (NLP) to recognize and extract data from medical documents and patient records. Automation technology can help speed up invoicing and enhance documentation while reducing costly rework caused by billing errors.
Medical appointment scheduling is now much more efficient thanks to Automation technology, which considers factors such as the number and kind of individuals seeking medical attention and the availability of physicians.
Automated appointment scheduling makes it easier for patients to book, confirm and cancel their appointments. Create waitlists that automatically fill vacancies and cancellations. Automatic reminders also aid in minimizing something and maximizing the time available to the therapist.
It is also possible to populate the EHR with patients' information from their mobile intake and registration forms. Providers would access up-to-date patient records and save up staff time on data entry when this is implemented. Patient treatment will benefit from the extra time. Creating a modern user experience for patients and providers that is consistent with the rest of their lives is made possible thanks to this.
Like appointment scheduling, you can use intelligent automation to improve patients' overall satisfaction with their care. An “automated” appointment reminder sent at the right time can help prevent no-show appointments.
As a precaution to ensure patients arrive on time for their appointments, this software can send as many or as few appointment reminders as a practice deems appropriate. The importance of reminders cannot be overstated, as patients often forget about appointments they set months ago due to their hectic schedules—both patients and healthcare professionals benefit from automated reminders.
Healthcare can avoid data-entry related difficulties with the help of Intelligent Automation. For example, to design a mobile check-in and visit experience, providers can utilize intelligent Automation to collect patient data from past visits and automatically fill up fields in the digital intake form. So that patients only need to update only the information that has changed since their last visit.
Automation in healthcare can optimize clinical outcomes by collecting the data, decisions, changes, and opinions of their patients in an accurate and fast manner. That means doctors will be able to utilize their time in other important tasks like surgeries and all the data of the patient will be collected through intelligent automation programs.
Referral management
There will be more recurring contracts to manage as the health system grows. Healthcare artificial intelligence solutions can quickly scan contracts and extract the required information when comparing contracts. Health systems can better analyze risk, save money, maintain good relationships with suppliers, and boost compliance with regulations with the help of an Automation technology workforce.
Legacy systems, specialized apps, and data scattered across numerous programs are becoming a bigger and more pressing problem today for many healthcare organizations. Healthcare Automation technologies, such as RPA, are the most efficient and accurate means of consolidating and moving this data. Using automatic data migration can save time and improve accuracy, since there are no human errors, no records are ignored, and no typographical errors are made.
You can use OCR to turn scanned images into readable text files, extract data from those images and transfer it to EHR file systems, or rapidly transport data from one system to another without human errors. Using RPA, not only can patient data be sent more quickly, but it can also be optimized for analysis, resulting in better health results for the patient.
There is no doubt that a combination of human and machine intelligence can improve healthcare. They're becoming more affordable and easier to use. You will better understand your healthcare solution system's operations and identify the processes that can be automated for an efficient and improved healthcare experience..
