the leader in technology-enabled behavioral health integration, is now
available to healthcare providers through Epic’s App
Orchard marketplace. NeuroFlow combines provider workflow augmentation
solutions, clinical care dashboards, and a patient-facing application to create
a clinical feedback loop centered around behavioral health.
– Patient generated data including validated assessment
scores, mood and sleep ratings, and journal responses are fed into NeuroFlow’s
provider-facing web platform, which leverages a combination of machine learning
and natural language processing (NLP) from patient journal entries to risk
stratify patients and enhance care coordination efforts.
– The NeuroFlow integration with Epic will
help organizations accelerate their efforts toward integrated care by
facilitating reimbursement for collaborative care codes and optimizing value-based contracts.
– The launch is an encouraging development for health
systems seeking to practice any of a range of collaborative care models, a
clinical approach integrating both the physical and mental health of
patients. Hospitals and health systems using Epic can deploy NeuroFlow to
streamline clinical workflows and scale existing initiatives for measuring and
treating patients’ mental health symptoms.
– Cleveland Clinic develops the COVID-19 risk prediction model through Epic MyChart that is now available to health systems around the world.
– Healthcare organizations can present the clinically
validated model to patients in MyChart to assess their risk of having COVID-19.
Cleveland Clinic researchers have developed a COVID-19 risk prediction model that uses information from the patient’s comprehensive health records combined with patient-centered information in Epic’s patient-facing app, MyChart, to show an individual’s likelihood of testing positive for COVID-19. The COVID-19 risk prediction model is now available to health systems around the world through Epic.
Predicting positive COVID-19 tests could help direct limited healthcare resources, encourage those who are likely to have the virus to get tested, and tailor decision-making about care. Cleveland Clinic’s model was developed and validated using retrospective patient data from more than 11k patients tested for COVID-19 at Cleveland Clinic locations in Northeast Ohio and Florida. Data scientists used statistical algorithms to transform data from patients’ electronic medical records into the first-of-its-kind risk-prediction model. All data collected was housed in a secure database.
How It Works
Patients complete a short self-assessment in MyChart,
documenting information like symptoms they are experiencing and potential
exposure to COVID-19. The model uses that information, as well as clinical and
demographic data already in their electronic chart, to calculate their score.
Patients with high risk for having COVID-19 are advised to receive a test, and
their care team members can be automatically notified of a high-risk score.
Other healthcare providers around the country also have
developed risk prediction models, which they can integrate with Epic. For
organizations that want to use an existing model rather than developing their
own, they can quickly turn on the model designed, developed, and tested–and now
being shared–by Cleveland Clinic researchers.
“We have developed the first validated prediction model that can forecast an individual’s risk for testing positive with COVID-19 and then simplified this tool while retaining exceptional accuracy for easy adoption,” said Lara Jehi, M.D., Chief Research Information Officer at Cleveland Clinic. “We are excited to make this tool available to the 250 million patients around the world who have a record in Epic. The ability to accurately predict which patients are likely to test positive will be paramount in effectively managing a patient’s care as well as allocating our resources.”
– Lyft is continuing to expand rideshare for
non-emergency medical transportation (NEMT) through a first of market direct
integration with Epic, the largest electronic health record (EHR) in the U.S.
– This will have an immediate impact on hospital operations and patients, with currently committed customers including Tampa General and Ochsner Health.
Today, ridesharing leader Lyft announced an integration with EHR provider Epic to enable
health system staff to schedule a Lyft ride for a patient directly from that
patient’s record. Lyft worked directly with Epic to create the Lyft for Epic integration
with Lyft Concierge directly into Epic that will make it
easier for healthcare staff to order a Lyft ride on behalf of a patient.
How Lyft for Epic Works
Staff can send reliable rides directly from a patient’s
profile in the EHR —
simplifying their day-to-day tasks, saving time, and allowing them to focus on
what matters most: the patients. And patients can easily get to their
appointments and back home after the visit without needing an app.
– Simplify sending rides: Nurses, case managers, and
other healthcare workers are already familiar with Epic — adding notes to
patient files, scheduling appointments, and discharging patients. By accessing
Lyft directly from the EHR, staff can schedule rides by directly accessing Lyft
from a patient’s record, rather than needing to sign into a separate tool.
Patient and appointment information will also pre-populate in the ride request
form, reducing friction in the booking process.
– Improve appointment adherence: Arranging a Lyft ride when booking appointment results in fewer missed appointments. Our data shows that Lyft can help providers reduce no-show rates by up to 27 percent.
– Increase operational efficiency: Arranging a Lyft
ride at the time of patient discharge can lead to shorter waiting times, less
crowded waiting rooms, and improved patient throughput.
– Measure patient outcomes: Most health systems have
not collected data on the impact of their transportation programs. With Lyft
for Epic, we’re also working towards giving health systems the ability to generate
reports that make it easier to measure the impact of rideshare on health system
spend and population health outcomes — potentially even tracking patient
segments to proactively identify patients that would benefit from a Lyft ride.
Lyft Continues Significant Investment in Healthcare
Today, Lyft partners with 9 out of the top 10 health systems
in the U.S, representing thousands of hospitals and clinics across the country.
The Lyft for Epic integration will give these organizations even more resources
to ensure transportation is never a barrier to care. Many health systems in the
U.S. use Epic, nearly 30 percent of which already partner with Lyft for their
non-emergency medical transportation (NEMT) programs. Several of our existing
health system partners — including Ochsner Health and Tampa General —
have already committed to using the integration.
“Access to reliable transportation is a common barrier to seeking healthcare, especially for our most vulnerable patients,” said David Carmouche, MD, Senior Vice President, Community Care at Ochsner Health. “By teaming up to integrate Lyft into Epic – our established health record system – Ochsner is providing a solution that makes it easier for patients to seek out high quality care when they need it and without unnecessary delays due to a lack of transportation.”