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Mount Sinai Platform Curates Digital Health Apps

November 2, 2016
by David Raths
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RxUniverse offers digital app prescription delivery system
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Providers interested in prescribing digital apps to help patients monitor and communicate about their health are sometimes overwhelmed by the sheer volume of mobile apps on the market. There are more than 245,000 medical apps available.

To address this issue, researchers in the Sinai App Lab at the Icahn School of Medicine at Mount Sinai Health System have developed RxUniverse, an enterprise-wide tool that curates apps and enables physicians to digitally prescribe evidence-based apps to patients at the point of care.

RxUniverse features a curated list of apps that have been evaluated for efficacy based on published evidence and incorporated into a digital prescription delivery system.

“As clinicians, we want to prescribe apps because some of them really add value, but we don’t know how to distinguish the ones that are proven from the ones that aren’t,” explained Ashish Atreja, M.D., M.P.H., chief technology innovation and engagement officer and director of the Sinai AppLab. “It is like trying to find a needle in a haystack. Even if we know an app’s name and we tell a patient to download a particular app, the patient may go to the app store and find there are 10 apps with similar names, so they get confused about which to download,” he added. “We have an innovation lab and we build apps as well. We have faced these challenges firsthand over the last four years. We realized there had to be a better solution regarding how to get the right apps into the hands of the right patients at the right time.”

The RxUniverse system, linked to Mount Sinai’s EHR, gives apps evidence scores based on a review of the medical literature. “There are some apps that do not have an evidence base yet but that we wanted to test and build evidence for, so we have added a few of those apps as well,” Atreja added. Because the universe of medical apps is continually changing, the AppLab has a team of interns and researchers reviewing new apps. But Atreja said the AppLab also knows what Mount Sinai’s priorities and unmet needs are and they focus their reviews on those areas.

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RxUniverse is part of a larger ecosystem called the Network of Digital Evidence (NODE Health), which provides a community forum and structure for health system technology experts, digital medicine tech companies, clinicians and patients to come together around digital medicine and the state of scientific evidence surrounding its design, efficacy, and implementation.

RxUniverse was piloted at five Mount Sinai sites over six weeks this summer, and Atreja said hoping they would get 100 apps prescribed during that time. “We ended up prescribing to more than 2,000 people within six weeks,” he said. “We were blown away. There is so much hunger among patients and providers. They never had these tools before. We are now expanding beyond those five sites.” One primary care site was recognized as the most engaged site.

In response to the enthusiastic reception internally, the Sinai AppLab has partnered with Mount Sinai Innovation Partners to launch a new startup company, Responsive Health, which will license RxUniverse for use by other health systems.

 

 

 

 

 


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LabCorp Joins Apple Health Records Project

November 5, 2018
by Rajiv Leventhal, Managing Editor
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LabCorp, a provider of clinical laboratory and end-to-end drug development services, has announced that it has enabled Apple’s Health Records feature for its patients.

This iPhone feature aims to make it easier for LabCorp patients to access their LabCorp laboratory test results, along with other available medical data from multiple providers, whenever they choose, according to officials.

In January, Apple announced that it would be testing the Health Records feature out with 12 hospitals, inclusive of some of the most prominent healthcare institutions in the U.S. Since that time, more than 100 new organizations have joined the project,  according to Apple.

LabCorp test results are viewable in the Apple Health app for LabCorp patients who have an account with the company, and enable integration with the Health Records app. In addition to their LabCorp test results, patients will have information from participating healthcare institutions organized into one view, covering allergies, medical conditions, immunizations, lab results, medications, procedures and vitals.

Patients will receive notifications when their data is updated, and the Health Records data is encrypted and protected with the user’s iPhone passcode, Touch ID or Face ID, according to officials.

“LabCorp on Health Records will help provide healthcare consumers with a more holistic view of their health. Laboratory test results are central to medical decision making, and broadening access to this information will help patients take charge of their health and wellness, and lead to more informed dialogues between patients and their healthcare providers,” David P. King, chairman and CEO of LabCorp, said in a statement.

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HIMSS Analytics Introduces Infrastructure Adoption Model for Health Systems

October 25, 2018
by Rajiv Leventhal, Managing Editor
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HIMSS Analytics, the research arm of the Healthcare Information and Management Systems Society, announced the introduction of the Infrastructure Adoption Model, or INFRAM, which is designed to measure the technical infrastructure used within a health system.

The INFRAM focuses on five technical subdomains, allowing organizations to benchmark how their infrastructure operates within the following areas: mobility; security; collaboration; transport; and data center.

Similar to HIMSS Analytics’ well-known Electronic Medical Record Adoption Model, or, EMRAM, the INFRAM is an eight-stage model (0 – 7) that allows healthcare IT leaders to map the technology infrastructure capabilities required to reach their facility’s clinical and operational goals, while meeting industry benchmarks and standards.  The final stage, Stage 7, guides organizations towards optimized information integration, contextualization and orchestration essential for the delivery of higher order local and virtualized care processes.

For reference purposes, Stage 0 on the model represents that an organization does not have a VPN, intrusion detection/prevention, security policy, data center or compute architecture. Stage 3 signifies that an organization has an advanced intrusion prevention system, while Stage 5 represents having video on mobile devices, location-based messaging, firewall with advanced malware protection, and real-time scanning of email hyperlinks.

HIMSS officials note that by identifying specific benchmarks for organizations to reach before they go live with EMR, systems, the INFRAM aims to ensure that a health system’s infrastructure is stable, manageable and extensible. Through this, organizations can ideally improve care delivery and create a pathway for infrastructure development tied to business and clinical outcomes.

 “The INFRAM is a welcome addition to our maturity model suite and addresses a longstanding need – guiding healthcare organizations in securely implementing the infrastructure with which their EMRs are built upon,” Blain Newton, executive vice president, HIMSS Analytics, said in a statement. “We have seen health systems engage with advanced clinical applications, only for them to ‘glitch’ under infrastructure that isn't powerful enough to support their tools. With the INFRAM, healthcare providers can develop a detailed, strategic technology plan that defines their organization's current state, desired future state, and each stage in between to achieve their clinical and operational goals.”

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Eisenhower Health, a west coast-based Magnet Hospital, implemented an enterprise-wide solution enabling mobile communications and collaboration across all care teams, linking the entire enterprise, advancing its communications capabilities, creating access to an enterprise directory, and improving care team response and turnaround times.

Additionally, the system provided extensive and comprehensive reporting with data analytics showing where and to what extent response improvements were made, but also providing the information the hospital needed to better utilize the system and make adjustments to improve results.

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