James Bates, CEO
It’s no secret that the cost of healthcare remains stubbornly high. Governments around the world have made every effort to hold down costs with varying, but limited success. Technology is leading the way in stretching the limited resources available to meet expanding healthcare needs of patients.
Now, artificial intelligence and augmented reality are set to improve outcomes and satisfaction for patients who are increasingly pressed for time and have become accustomed to on-demand instant access to everything from so many other areas of their life. The fact that AI will do this while also increasing the financial health of healthcare organizations and reducing the workload on caregivers makes the whole healthcare experience automatically more Intelligent.
The AdviNow Experience
The team at AdviNow Medical are completely rethinking the patient-provider experience. James Bates, The CEO at AdviNow explains: “We stepped outside the box and founded the company with three goals. The first goal is to minimize the patient and doctor time for diagnosis and treatment. Maximizing automation is the way to reach that goal. The second goal is make a system intuitive enough for a patient with only a primary education. By injecting artificial intelligence into the patient-caregiver encounter we can help guide a patient with limited formal education to collect all information needed by the provider. The third goal is to improve patient outcomes and satisfaction. The AI following collecting the patient information and vitals and suggesting the most effective treatment creates a consistency of care that has never been achieved. These goals are achieved with a reduction in patient wait times and improved outcomes while at the same time helping the caregiver make an informed, evidence-based diagnosis in a way that has previously been impossible.”
Imagine this scenario, which is already a current reality for those utilizing AdviNow’s patent pending AI product On-Call:
The patient enters the healthcare establishment and instead of waiting in line at a counter, walks directly to a tablet where they scan their driver’s license and insurance card. Using this data, the patient’s health record is accessed and using a simple interface, they enter their chief complaint. Based on this complaint, the AI will ask intelligent, customized and informed questions and initiate measurements from the six FDA approved devices attached to the kiosk: blood-pressure, thermometer, weigh scale, otoscope, stethoscope and oximeter (blood oxygen level). This data will allow the AI engine to collect data to guide the healthcare provider in making an informed diagnosis.
The experience is a bit sci-fi. For medical self-measurement, the patient looks at the computer screen that appears as a mirror of the patient. The mirror image of the patient is overlaid with augmented reality guides to intuitively show the patient how to place the device to get a quick, accurate measurement. The AI tracks the patient-medical equipment interaction combined with the results coming from the equipment to assure that the measurement was done accurately.
The AI now intelligently presents to the care provider the accumulated data, and gives a ranked list of what is potentially the diagnosis and the associated treatment options. “All this is in just ten minutes for the patient,” mentions Bates.
At AdviNow, we have made it our mission to automate the medical visit in its truest sense
The care provider now enters the scene and, after confirming the data acquired from the AI with the patient, confirms a diagnosis and treatment plan.
This intelligent, automated workflow, makes the best use of patient time, data, and of the limited physician resources.
Artificially Intelligent Differential Diagnosis
“We used natural language processing to enable a computer to read and learn from medical textbooks. We then had it read and learn from a large number of electronic health records. In laymen terms, we took the computer and put it through medical school and then gave it about 20 years of experience,” says Bates. The On-Call application guides a patient through a self-medical examination by asking detailed questions based on well proven medical differential diagnosis. Enabling sophisticated medical equipment self-measurement with augmented reality and machine vision is a completely unique approach. Machine vision is defined by the system automatically interpreting data from a camera feed and using it in the interaction with the patient. The medical device measurements provide the medical objective information that the provider needs for an accurate diagnosis.
This intelligence makes the On-Call system the ideal data collector and assistant for the provider allowing their time to be optimized as all data needed to make a differential diagnosis decision is presented in one easy to read overview page. Using the provider’s diagnosis, the On-Call system then sends suggested treatments and discharge instructions for the care provider’s review. The On-Call then scribes all information perfectly in the EHR to provide justification for the payer and reduces the need for data entry or notes to by typed by the provider. An accurate and low-cost treatment regimen cannow be delivered by the provider in a quick, efficient, and automated manner.
The Intelligent Business Case
The medical provider is the most expensive component of the health clinic, and thus minimizing the provider’s time and patient’s examination time is a key to profitability. In addition, a prevalent shortage of primary care physicians has made the process of securing appointments more challenging with the traditional model. Because of this, Urgent care is becoming one of the most crucial patient point of care locations as it is increasingly taking the place of the primary care physician as patients try to access on-demand care through convenient retail locations. Urgent Care or convenient care centers based inside retail and convenience store establishments have expanded exponentially over the past few years now totaling over 3,000 locations. The challenges with this wide retail expansion is low patient flow and patient surge leads to either limited profitability or a poor patient experience as it is overstaffed during slow times or understaffed during surge times. The retail location helps ensure proximity and availability to a wider population, but has not met the need of a lesser wait time. The patient door to door time (walking in the door, to departing out the door) should be reduced to below 30 minutes for patient satisfaction, and at the same time, the profitability of the care center needs to be assured. “In a stand-alone provider managed clinic, there is a ‘24 patients a day’ general rule to break even; our solution reduces that to 18 patients a day, allowing clinics to observe better returns while managing surge efficiently. In a telemedicine retail clinic, that number is below 5 patients a day,” adds Bates. “At the same time, the patient door to door time cycle time is reduced from one hour to fifteen minutes.”
Another challenge that Urgent Care facilities are experiencing is consistency of care. Due to the physician shortage, most clinics are staffed with lower level providers or less experienced physician assistants that can end up giving a wide variety of quality of care. This unfortunately can lead to missed or delayed diagnosis and patient dissatisfaction. The AdviNow solution standardizes quality of care according to the clinic expectations, providing thorough documentation of the encounter that can lead to higher reimbursements by the payers and more consistent diagnosis.
Patients are often faced with a handful of papers to be filled out and submitted to the desk attendant who then manually feeds in all the details into the EHR system. The insurance carrier is then contacted for confirming the insurance benefits. While the whole process takes a huge amount of time, it also increases the chances of wrong data entry, in turn causing error-prone reimbursement results from the insurance company.
"The goal is to give providers the most accurate information to diagnose and treat patients in any environment—be it telemedicine or walk-in clinics—while enhancing patient satisfaction and enabling cost-effectiveness"
The AdviNow system automates the complete patient experience, removes many of the possibilities for human error, while assisting the provider to efficiently and accurately treat the patient.
An Intelligent Partnership
AdviNow Medical’s lead investor and source for the medical grade equipment powering their AI infused consults is another big player in the healthcare technology sector: GlobalMed. GlobalMed’s equipment and software powers the largest deployments of telemedicine in the world, including being used in the White House. Joel Bartholemy, CEO of GlobalMed states, “The opportunity for two innovators to come together and collaborate on a project of this sort just made sense and it is an exciting time to continue to change the way healthcare is delivered globally.” GlobalMed’s products will be infused with the AI engine created by Advinow and Advinow’s offering will leverage GlobalMed clinical grade and home-based evidence gathering devices.
“The goal is to give providers the most accurate information to diagnose and treat patients in any environment— be it telemedicine or walk-in clinics— while enhancing patient satisfaction and enabling cost-effectiveness. Creating an intuitive automated end to end system is key to that goal,” explains Bates.
With immense power to unleash improvements in the cost, quality, and access to healthcare, AI is exploding in popularity at the same time telemedicine laws and patient acceptance is on the rise. Recognizing the demand created by this evolving marketplace, AdviNow is committed to rolling out many installations for their clients in the near future that will redefine healthcare as we know it. While AI and machine learning in healthcare continue to get better, AdviNow aims to tap into this market and lead it.
AdviNow Medical will be assisting thousands of clinics in reinventing and automating the healthcare continuum through their AI-based application, OnCall. AdviNow aims at supporting their teams and focusing major investments to loopin specialties programmed into the platform that can be leveraged by medical facilities. “AI is not an innovation coming down the pike; it’s already here. AdviNow has seized the AI opportunity and embraced these applications to deliver high-quality, and cost-effective care, and will be the one to leapfrog other competitors,” concludes Bates.