For physicians and their staff, the list of to-dos never seems to get any shorter and there is seemingly never enough of time. The old adage: work smarter, not harder ensures that future success boils down to effort. Such, is no longer the case.
With artificial intelligence (AI) and machine learning, working smarter and harder presents a viable possibility, albeit with some limitations and ethical concerns.
The advancements in AI is making headways for improving workflow and efficiency in the healthcare sector, as integration and adoption rates are increasing. These advancements decrease costs while improving productivity.
Already, basic AI assist staff by automating appointment reminders; sending out emails and text reminders to patients regarding date, time, location information and the purpose of their visit. Such automated practices are the least intrusive, providing a clear upgrade to an existing product, while augmenting human workers so that their hours may be allocated to higher level tasks.
Another feature, voice to text, helps nurses and physicians with note taking, admissions, patient histories, exam results, discharges and dictation.
Voice to text implementation in healthcare is becoming increasingly widespread and ubiquitous among medical professionals at all levels. Companies like Saykara and Nuance are actively developing tech in this niche department. The experience and efficacy is far improved from iterations a year ago.
In our current day and age, the availability of technology is available to most in the form of smart TV’s, laptops and computers, tablets and smartphones. Technology and device costs continue to decrease while metaphorical horsepower and cycle efficiency increases as per Moore’s law.
Patients may access optimized healthcare versions of AI-based assistants in the same vein as Siri, Cortana or Echo. These virtual nurse/doctors have the ability to take vitals, such as using the smartphones flash to measure heart rate via a finger pulse. It becomes simpler to schedule
appointments and check-ins using aggregate voice healthcare solutions like Orbita, and some AI assistants may answer care related questions that potentially direct patients to various levels of solutions.
From a medical ethics standpoint, it is important to consider patients without access to such technologies in order to address and prevent disparities from increasing.
However, in an ever increasing technological world, such AI and machine learning is inevitable. The ideal situation for physicians would be for AI to not only make a physician’s job easier, but allow physicians to focus only on what’s important: the patient.
DocCharge is developing an AI technology based platform to improve coding specificity within the mobile application and portal. The goal is to deliver medical necessity information and provide a utilization guideline to physicians and coders prior to submitting the claim. This ensures reduction of denials and improved revenue for the practice.