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10 ways to use AI-powered automation in healthcare

Here are the top areas where AI-powered automation is helping healthcare professionals use resources more efficiently

Innovations in healthcare automation solutions and cloud computing are moving healthcare and life sciences organizations toward a future shaped by integrated digital ecosystems, with profound implications for both research and development and the entire continuum of patient care. From the development of new medications to front-office scheduling, AI-powered automation is helping providers and professionals across the spectrum of healthcare services use resources more efficiently, cut costs and most importantly—improve care.

Digital technologies are revolutionizing the healthcare industry. Driven by advances in artificial intelligence and machine learning, digital transformation is offering tools to bridge the gap between people, existing technologies and the ever-increasing body of data. By automating both routine office tasks and data management in research and development, healthcare entities operating in all arenas can offer safer, more patient-centered care and more effectively meet the challenges of a rapidly evolving global marketplace.

Although automation solutions have been widely embraced by several other industries, the healthcare and life sciences industries have been slower to adopt new technologies. However, many of the challenges facing healthcare and life sciences professionals can be overcome with highly configurable, automated solutions that make it easier to manage data, mitigate risk in patient care and track patient progress and outcomes.

Here are 10 healthcare areas where you should apply process automation for service excellence:

  1. Research and development
  2. Patient data management
  3. Compliance
  4. Patient experience and participation
  5. Patient care
  6. Medical records
  7. Healthcare administration
  8. Patient capacity
  9. Insurance 
  10. Billing


Automation accelerates research and development

According to a recent report from BioSpace, it can take a decade or more for a new drug manufactured in the U.S. to receive FDA approval—and only 14% of drugs tested in clinical trials make it to that point. Clinical trials can become bogged down by the difficulties inherent in managing large sets of patient data from multiple sources and by regulatory issues that may only be identified late in the process. The use of automation solutions can help streamline the process of research and development of new drugs and therapies.


Automating patient data makes management more efficient

Clinical trials depend on patient data from a variety of sources, and millions of patient records may be involved in a particular trial. With automated processes that curate and standardize data collected from diverse databases, researchers can mine the data for specific insights and share collected data in real time to enhance scientific collaboration on a global scale. Automating data management can also help to ensure compliance with HIPAA and other data protection laws.


Automation can improve regulatory compliance

Automated data management allows regulators to access millions of medical records from clinical trials and other sources to track patient outcomes and assess a drug’s track record for safety and effectiveness. Reducing regulatory noncompliance incidents can speed up the development process and reduce monetary loss due to trial delays or legal issues.


Cloud-based tools and automation improve patient experience and participation

Many clinical trials fail due to drop-off in patient participation, which can decline by as much as 30% in later stages, according to a report from Public Health Genomics. An automation platform that supports a virtual clinical trial model can improve participation rates and keep patients actively engaged in the trial. Tools that allow patients to self-report from home, thereby avoiding the need to commute to study sites, as well as the availability of tools for researchers that enhance the ability to collect and curate large volumes of study data can improve patient monitoring and optimize study outcomes.


Automation improves patient care across the continuum

A recent study reported by the National Institutes of Health revealed that approximately 7 million people are affected annually by medication errors in the U.S. alone, and a survey by Johns Hopkins revealed that medical errors may be the third most life-threatening risk in the U.S. The use of AI-driven automated platforms to improve record-keeping, medicine management and clinical procedures can improve patient care and reduce human error in clinical procedures and in prescribing and administering medications.


Automating patient data allows constant access to records

Automated, cloud-based systems for managing patient records make relevant information instantly available to authorized personnel at critical points in patients’ interactions with the healthcare system. In that way, emergency responders, surgeons, nurses and other practitioners all have access to essential information affecting patient care.


Automation solutions boost efficiency in healthcare administration

UK-based Fingent reports that healthcare providers lose millions in revenue each year due to scheduling problems, missed appointments, failed follow-ups and errors in billing. Automated scheduling and billing can free up staff time for other tasks, increase patient interactions and recoup revenue.


Automated scheduling can increase patient capacity

Using automation that allows patients to set their own appointments online saves staff time and gives patients more control over their medical care experience. Adding functions such as automated reminders and follow-ups via text or phone call can improve patient capacity and reduce no-shows.


Automated data management provides insights for insurers

Automation can help insurers manage large sets of patient data and process claims more efficiently. AI-powered data mining can deliver key insights and identify trends that shape company policy and relationships with other entities within the healthcare system.


Automated systems make billing more efficient

Automated billing can manage large sets of patient data and ensure that billing codes are consistent and correct. Automating functions such as routine billing and follow-up notices saves staff time and resources and makes it easier to collect outstanding payments.

Powered by innovative, AI-driven technologies, automated systems play a pivotal role in the digital transformation of the healthcare industry. From speeding the delivery of new drugs and therapies to ensuring safer and better patient care and more efficient administration, cloud-based automated systems can help healthcare professionals meet their goals in a rapidly growing global marketplace.





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Written by Catalytic