New peer-reviewed research with Health Quest reveals that the implementation of speech recognition technology within the electronic health record (EHR) significantly improves provider satisfaction and efficiency, as well as documentation quality, and costs.
Provider burnout is a major issue for the healthcare industry, as a whole – and it’s a human issue at its heart. The people caring for all of us are suffering day-to-day, and that’s a problem worth solving. But it’s more than that. Provider burnout has real and frankly frightening implications for patient safety and quality of care.
As technology leans toward serving protocols and regulations, caregivers are now serving the technology. As a result, caregivers are reliving their day – to finish documentation, resolve coding queries, and reorganize their personal lives to make it all happen. Incomplete documentation is causing queries, denials, rework, and costs. More importantly, though, in some cases, the right diagnosis may not be captured or followed up on.
To change this, the clinical documentation and decision support solutions relied upon must have a solid foundation, so physicians and care teams can trust them. They must be built by clinicians who understand care – not solely by people who understand codes. They must be complete and provide choice to match any use case while being deeply embedded into the EHR systems – and match the way caregivers think, talk, and work. They must drive mobile effectiveness letting physicians and care teams use their device of choice – and use it anywhere and at any time. They must be supported 24/7 because technology must always serve the caregiver and their patients – and not the other way around. They must be smart and surround caregivers with intelligence at every turn. Because technologies that provide real-time intelligence paired with decision support not only dramatically improve the patient story – but the caregiver story as well.
We recently had the opportunity to team with Health Quest to take a closer look at these challenges and realities by conducting a comprehensive, multi-year study about how speech recognition technology could have an impact on provider burnout, satisfaction, and other clinical documentation issues. The peer-reviewed study examined more than 1 million patient notes in the EHR, and here’s what we learned: As providers increasingly relied on speech recognition technology, satisfaction with documentation technology increased. Documentation quality and completeness improved. And providers spent less time documenting patient encounters—or, they spent the same amount of time capturing more robust patient stories that presumably had a real impact on the quality of patient care.
I encourage you to read the research in full on PubMed Central. Provider Adoption of Speech Recognition and its impact on Satisfaction, Documentation Quality, Efficiency, and Cost in an Inpatient EHR was initially presented at the AMIA 2018 Informatics Summit in March, and subsequently at the AMDIS symposium in June 2018.
We thank Health Quest for their time, efforts, and dedication to the health and care of their providers and patients. We are honored to have the opportunity to partner with Health Quest on these important initiatives.
In healthcare, it’s up to all of us to prioritize and care for the people who care for us. To do so, technology must be purpose-built for healthcare’s unique realities, and the caregivers that use them.