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Keep up with the latest digital transformation trends and learn how automation and AI are revolutionizing the future of work across industries.

Transforming the patient experience with automation in healthcare

From clinical trials to routine doctor visits, automated digital systems engage patients across the entire continuum of care.

The world of healthcare and life sciences is undergoing a transformation, driven by innovative digital technologies and cloud-based data management. This digital transformation provides tools for streamlining all aspects of medical research, development and clinical management. And now, AI-powered healthcare automation solutions are revolutionizing the patient experience.

With cloud-based tools, intelligent automation can provide new ways to engage patients who expect to be active participants and decision-makers across the continuum of their care.


Automation for digital transformation in healthcare

Digital transformation in the life sciences focuses on integrating digital tools into legacy platforms for purposes such as speeding up research and development and providing ways to manage record keeping, scheduling, and payments.

With a comprehensive digital ecosystem in place, clinical research, drug trials, and the daily management of healthcare facilities have become more efficient and more economical. Those tools create the framework for the Internet of Medical Things, a world of interconnected devices capable of sharing data and making decisions with the help of cloud-based platforms and sophisticated machine learning.

Now, according to a report from HealthITWeek, a second wave of digital transformation takes those innovations directly toward improving functionality and improving the way patients receive services across the continuum of care, with a range of sophisticated technologies designed to streamline functions in an institution’s “back office”—the administrative side of managing patient-facing services. 

In the traditional model of healthcare, manual systems directed by an institution’s back-office staff handled all aspects of managing a patient’s interactions with the clinic or hospital. Even with the aid of digital tools such as patient databases and billing and scheduling software, this paradigm remained limited in scope and scalability, and it required the input and management of trained staff members to handle issues related to payment, billing, and patient scheduling.      

But the digital age has irrevocably changed that paradigm. Intelligent automated systems for managing patient data, finances, and scheduling can reduce errors in all aspects of a patient’s interactions with an institution.  With automated systems supported by cloud-based data management tools, patient records become consistent, accurate, and easily available at need. That streamlines service and reduces the risk of human errors such as accessing the wrong information or prescribing medications incorrectly.  

Similarly, automated billing and payment systems can reduce the possibility of billing errors and third-party payment problems by ensuring that charges are processed promptly and consistently. These systems free staff for other duties, including direct interactions with patients, and reduce costs associated with managing legacy systems.


Automation enhances the patient experience

Advanced healthcare automation solutions are reshaping the patient experience across the spectrum of all interactions with healthcare providers and institutions. Patients accustomed to an on-demand digital lifestyle expect convenience, consistency, and personalized services.  Digital innovations that support an institution’s management of data and operations such as scheduling can lead to a better customer experience, with fewer frustrations over billing and scheduling issues.

Automated scheduling can allow patients to self-schedule appointments, and provide automatic reminders via a variety of digital devices.  AI-powered patient portals provide tools for patients to manage accounts and set up payment options at their convenience, with staff input needed only for support and troubleshooting. These tools can save time, help providers use staff resources more efficiently, and give patients more control over their healthcare needs.  That provides a better experience that encourages patient satisfaction and willingness to remain engaged with providers.


Automation streamlines data management

Cloud-based, AI-powered data management now allows healthcare providers to collect and analyze vast amounts of patient data from a multitude of sources. That helps professionals across the spectrum of healthcare services to spot developing trends, identify health conditions more quickly, and develop more comprehensive treatment plans.

With the support of automated systems for collecting and sorting patient data from various different providers and databases, providers are able to maintain complete and consistent electronic health records that can be mined at need for various types of deeper information. Access to this kind of data, made available in a variety of formats suitable for different consumers, allows providers to develop timely and accurate interventions and screenings, and to respond quickly when a patient’s situation changes. 

Automated data management tools that integrate with an institution’s overall digital ecosystem can also provide a virtually error-free flow of information about all aspects of a patient’s care. That makes it possible to access needed data at any point in a patient’s journey through the healthcare system.

Because an automated data management ecosystem streamlines the process of accessing and managing key patient information for all purposes, from treatment planning to managing routine interactions such as arranging appointments, providers are able to use their organization’s resources more economically and efficiently, while offering patients a more responsive and comfortable experience.


Automation ensures precision and accuracy

Sophisticated AI can ensure that healthcare systems forecast efficiencies, which benefits regulatory compliance, resolving billing issues, and managing patient care, among other issues.

By automating data management with advanced machine learning, healthcare professionals can ensure that they remain compliant with all regulatory bodies that govern their operation, which reduces the risk of damage to an institution’s standing and penalties for noncompliance.  With AI-powered tools for managing large sets of patient data, clinics, hospitals, and other providers can monitor and reconcile record keeping to remain compliant with provisions such as HIPAA, the GDPR, and other regulations that govern the services they provide. 

Automated record keeping can also reduce billing and payment errors that can be costly, both in revenue and in patient trust. These systems reduce the potential for human errors and ensure that necessary transactions take place regularly.  With an automated system for managing patient interactions in place, staff can become available for more complex administrative tasks as well as in-person patient contact, which also contributes to the quality of care and better patient experience.

Automated healthcare solutions powered by artificial intelligence and supported by cloud-based data management are changing the way healthcare services are designed, delivered, and utilized—not only by healthcare professionals, but also by the patients they serve. From clinical trials to routine doctor visits, automated digital systems engage patients across the entire continuum of care.





Mayo Clinic saved 40,000 hours of manual work, reduced risk and increased data integrity with Catalytic.

Read how they did it

Written by Catalytic