You know all too well the pressures caregivers face. In ten minutes or less per patient, they’re stretched thin consulting EHRs, entering data, diagnosing, ordering procedures, and coordinating treatment. The last thing they need is another time-consuming hoop to jump through.
“SAM improves care. SAM saves time and money. SAM saves lives.”
- Inveni-QA CEO Dave Marr
As CMIO or CIO, you’re in a position to drive technical solutions that ease caregiver burden and enhance patient care while avoiding regulatory risks. Inveni-QA (pronounced In-ven-i-ka) has developed a powerful AI technology to fit within key areas of the workflow to do just that, beginning with Appropriate Use Criteria (AUC).
Reducing caregiver burden with SAM-AUC.
New regulations introduced in January of this year have added another layer of compliance and have changed the way your organization justifies patient care. For the first time, caregivers cannot autonomously decide if an advanced imaging order is necessary. Instead, they must verify circumstances meet criteria via a qualified clinical decision support mechanism (qCDSM). The qCDSM generates a unique code to the furnisher, who must verify appropriate use criteria was followed before performing a test or procedure. Both caregivers and furnishers must communicate AUC compliance with each and every Medicare/ Medicaid imaging order.
With billions of dollars of advanced imaging orders per year, the stakes are high. Starting in 2020, CMS will begin penalizing noncompliance. Penalties could reach tens of thousands of dollars per incidence.
An elegant solution that saves caregivers time.
Inveni-QA’s artificial intelligence helps caregivers do a better job faster. The company’s Semantic Answers in Medicine-Appropriate Use Criteria (SAM-AUC) integrates directly into the EHR system, cultivating the context from patient data and order entry, thereby saving critical caregiver time. SAM-AUC automatically checks criteria and presents the caregiver with options.
The Inveni-QA system does the work, so doctors can spend more time with patients. Because Inveni-QA functions within the EHR system, it eliminates human error associated with reentering data. It speeds care by streamlining imaging procedure orders. The benefits of increased Medicare/Medicaid reimbursement, more efficient caregiver practices, streamlined internal processes, and penalty avoidance leave CMIOs intrigued by SAM-AUC’s value.
Although this article highlights the urgency surrounding the PAMA regulation, Inveni-QA’s AUC solution is part of an already powerful suite of AI tools for clinical decision support. The toolkit was developed over the last 10 years in the knowledge laboratory of Mayo Clinic and for practicing cardiologists through the American College of Cardiology.
Inveni-QA’s artificial intelligence engine, SAM, is a successor of AskMayoExpert which was honed over a decade by hundreds of thousands of provider questions and best-practice answers. AskMayoExpert is the foundation of Mayo Clinic’s knowledge repository and distribution system. Dale Zwart, Inveni-QA founder and CTO, was the system architect of AskMayoExpert.
Inveni-QA has been recognized as an industry disruptor by providing personalized care information determined by a patient’s unique situation and environment at the point of care
“Mayo Clinic’s culture is one of a learning organization. And the development of AskMayoExpert was the key to extending that culture of learning by markedly improving the quality and the dissemination of knowledge throughout our clinical practice.”
- Denis A. Cortese, MD, Emeritus President and CEO, Mayo Clinic
Helping medical entities adopt a proven system.
Co-founder Zwart comes to Inveni-QA with a deep background in developing computerized learning systems for Lockheed Martin, NASA, American College of Cardiology, and Mayo Clinic. Zwart teamed up with CEO David Marr, a founder of several start up financial services and technology firms, to introduce Inveni-QA and Semantic Answers in Medicine (SAM).
Inveni-QA has been recognized as an industry disruptor by providing personalized care information determined by a patient’s unique situation and environment at the point of care. Other solutions deliver only generic responses to provider queries – SAM includes the patient’s context and thereby provides an individualized consult. Performance testing shows SAM is a magnitude of improvement over its predecessors AskMayoExpert and CardioCompass.
In October 2018, Inveni-QA was a winning finalist in the Cerner CODE Innovation Challenge where hundreds of applicants across the globe submitted their SMART on FHIR applications to be judged by physicians and software programmers.
A practical, real-world AI application.
While other solutions depend on heuristic models alone, Inveni- QA utilizes both semantic and heuristic methods. Importantly, Inveni-QA’s artificial intelligence is not a mysterious black box, but a transparent tool allowing caregivers to see the logic supporting its recommendations.
SAM does exactly what a team of doctors and experts would do with unlimited time—analyze what works and what doesn’t, investigate the latest and most authoritative research data, and lean on best practices—but does it all in a matter of seconds. The system also streamlines order entry by automatically identifying billing and procedure codes, presenting approved procedures, and creating a verifiable trail of best-practice care.
Easing the burden on front-line caregivers with SAM-Attaché.
Administrative burden has the potential to add stress to caregivers since more than 20 hours of their workweek is already spent on documentation. Maintaining certification and continuing education requirements further impact caregiver work/life balance.
SAM understands Patient Health Information (PHI) derived from “wearables”.
SAM-HealthKit understands the PHI gathered from the anticipated explosion of patient-owned data. For example, smart watches produce ECG-type data that SAM can map to relevant patient education materials, and then present referral information. Activity levels, vital signs, dietary habits, exercise patterns, and sleep levels all generate patient data that provides concrete PHI for the caregiver to consider. SAM contextualizes this new generation of information and makes it readily available for review.
Assuring better care and a healthier bottom line.
Inveni-QA’s suite of solutions supplies understanding wherever understanding is necessary. The result reduces human error, supports caregiver decisions, reduces data entry requirements, and saves time. The outcome of these solutions is improved care from more effective caregivers, impacting the bottom line.
Inveni-QA’s AI :
• Generates AUC compliance from caregivers’ workflows, without incurring additional steps
• Reduces costs
• Reduces human error
• Improves caregiver work/life balance and reduces burnout
• Most importantly, improves clinical decisions and quality of care
It’s clear the team from Inveni-QA believes the best way to improve healthcare and reduce costs is not to replace care providers or their decisions with an AI solution, but rather to vastly improve provider resources to support them in making better decisions and reducing administrative burden. They call this ‘Augmented Intelligence’, a phrase they first read in an AMA article and have since incorporated into their vision. Their holistic philosophy supports providers throughout their day and improves work/life balance. What could be better?
The promise of EHR benefits fulfilled through Augmented Intelligence.
Healthcare organizations and, in particular, caregivers have suffered under the notion that all the extra burden carried by caregivers in EHR documentation would result in better care and easier processes. So far, EHR has only paved over cobblestone streets. In fact, as reported in HealthLeaders Media News, the implementation of EHR systems has increased caregiver burnout. Now, however, through the incorporation of AI into the workflow, caregivers can benefit directly from Augmented Intelligence that heightens their capabilities rather than degrades them. Inveni-QA’s SAM is such a solution.