AI and virtual assistants are enabling healthcare organizations to improve their service quality while also keeping the patients better informed.
FREMONT, CA: Artificial intelligence (AI) is increasingly assisting the industries with their processes. In the case of the healthcare sector, it could prove to be a self-sufficient growth engine in the future. A report from Accenture analyzed the value of AI applications in healthcare to assess the potential impact of technology against the cost of implementing those technologies. The results from the study estimated that AI applications could save up to $150 billion annually for the U.S. healthcare economy by 2026.
The report also focused on 10 AI applications with the potential of impact in medicine and analyzed the individual application to derive an associated estimated value. Researchers observed the impact of each application, chances of adoption, and value to the health economy. Here are the top 3 AI applications with largest value potential in the healthcare industry:
1. Robot-Assisted Surgery
Robotic surgeries promise minimal invasion, which means that the practitioners can replace large incisions with a series of quarter-inch incisions with the help of miniaturized surgical instruments.
Cognitive surgical robotics utilizes information from actual surgical experiences to enhance surgical techniques. Using such procedures, medical teams combine the data from pre-op medical records with real-time metrics to improve surgical aftermaths. The technique enhances the physician’s instrument precision and can decrease a patient’s length of hospital stay by 21 percent.
The da Vinci technique enables surgeons to perform a wide array of complex procedures with higher flexibility and control that attained via conventional means. One of the worlds' most advanced surgical robots uses its robotic limbs with surgical instruments attached. It offers a magnified, high-definition, 3D view of the surgical strike. A surgeon is in control of the machine’s arm handling the computer console near the operating table. It allows the surgeon to successfully perform surgeries in limited spaces while also reducing the margin for error.
Another example can be that of a miniature mobile robot that can enter the chest through an incision below the sternum. It offsets the damage needed to access the heart and promotes the use of a single device for performing localized and stable mapping, sensing, and treatment across the entire surface of the heart.
2. Virtual Nursing Assistants
Virtual nursing assistants can offset the number of hospital visits and ease the burden on medical professionals. According to a study, 64 percent of patients reported that they would be fine with AI virtual nurse assistants, reckoning the benefits of access to answers and support, the ability to get quick answers to questions about medications, and round-the-clock monitoring.
The main goal of the technology is to maintain communication between care providers and patients between office visits and to avoid hospital readmission. The robots should also enable wellness checks via AI voice and AI to generate better medical outcomes at a lower price.
3. Administrative Workflow Assistance
Automation of administrative workflow enables the care providers to prioritize urgent matters. It also helps nurses, doctors, and assistants in saving time on routine tasks. Several applications of AI on the administrative aspect of health care include voice-to-text transcriptions that automate non-patient care activities such as prescribing medications, writing chart notes, and ordering tests.
For instance, some of the companies leverage AI-powered solutions that depend on ML to assist health care providers in improving reporting quality and cut down documentation time. Computer-assisted physician documentation (CAPD) offers real-time documentation guidance that allows clinical providers to ensure that their patients receive consistent and accurate clinical history.
Such advancements can offset human errors and enhance overall outcomes and consumer acceptance. However, many still doubt the practical applicability of AI in health care. Caregivers and patients alike are under the impression that human oversight and the chances of machine errors can result in mismanagement of care. Moreover, data privacy remains one of the major challenges for AI-dependent health care.