Artificial intelligence (AI) is becoming an indispensable tool to augment decision making in different health care settings and by various members of the patient pathway, including the patient. AI provides the ability to optimize data to bring clinical decision support for clinicians and laboratorians and/or empower patients to actively participate in their own health care. Though there are many examples of AI in health care, the exact role of AI and digital health solutions is still taking shape. Although AI will not replace the clinician, those who do not adopt AI may in time, be left behind.
Artificial intelligence (AI) is becoming an indispensable tool to augment decision making in different healthcare settings.
The role of the patient is evolving and digital health solutions and AI can help to empower the patient to take an active role in their healthcare decisions.
AI cannot replace the clinician in patient care, however, those who do not adopt AI may in time, be left behind.
There are many examples of digital health solutions that leverage AI today to enable more informed clinical decisions.
AI in healthcare is still evolving and will play an even more critical role in future.
Introduction to artificial intelligence for digital health solutions
As the digital health care transformation unfolds, artificial intelligence (AI), algorithms, and clinical decision support are becoming a more accepted and integrated part of the health care ecosystem. Laboratory results and the decisions that are based on them are taking place outside the walls of the laboratory, clinic, and hospital. Digital health care came to life globally through the COVID-19 pandemic, and a compound annual growth of 15.1% is projected each year from 2021 to 2028.
Another significant shift is in the role of patients in their own health care journeys and decisions.
In this article, we are going to focus on emerging digital health solutions that include those that use AI to provide clinical decision support. Using specific examples, we will cover how these technologies are changing how and where health care decisions are made today and how they will continue to disrupt health care in the future.
Digital health is a broad term with a vast scope. It can include categories such as mobile health, health information technology, wearable devices, telehealth, telemedicine, and personalized medicine. Digital health solutions are regulated based on the potential risk they pose to patients.
Traditionally in a health care system, when thinking about digital solutions, Health IT systems like Electronic Health Records (EHR) or Electronic Medical Record (EMR), Laboratory Information Systems (LIS), Hospital Information Systems (HIS), and middleware tend to come to mind. Although these systems are the digital backbone of information in US health care systems, they are not the focus of this article. Instead, we will focus on AI and how it can optimize data to provide clinical decision support for clinicians and laboratorians and/or empower patients to play an active role in their own health care journey.