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Mount Sinai Asthma Study Demonstrates Potential of Smartphones for Clinical Observational Research

March 13, 2017
by David Raths
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Built using Apple’s ResearchKit, study captures research data from thousands of individuals to better characterize ‘real world’ patterns of disease, behavior

Researchers at the Icahn School of Medicine at Mount Sinai in New York today published results from a study of asthma patients conducted entirely via iPhone using the Apple ResearchKit framework and the Asthma Health app developed at Mount Sinai with collaborating organizations.

The researchers say the results, published in Nature Biotechnology, demonstrated that this approach was successful for large-scale participant enrollment across the country, secure bi-directional data exchange between study investigators and app users, and collection of other useful information such as geolocation, air quality, and device data.

The Asthma Mobile Health Study was launched in March 2015, and in the first six months, nearly 50,000 iPhone users downloaded the app. The study included regular surveys to understand how asthma patients were affected by and treating their condition over time.

 A total of 7,593 people completed the electronic informed consent process and enrolled in the study. Eighty-five percent of them completed at least one survey, with a core group of 2,317 robust users who filled out multiple surveys during the course of the six-month study. Results were compared to existing asthma patient studies and to external factors as a control for the reliability of patient-reported data. For example, scientists were able to correlate increased daily asthma symptoms among participants in Washington State with an outbreak of wildfires at the time. Similar factors that could be corroborated in the patient data included pollen levels and heat. Data for commonly used asthma metrics, such as peak flow, matched what has been observed in other studies.

 The researchers determined that smartphone-based studies are particularly suitable for studies of short duration that require rapid enrollment across diverse geographical locations, frequent data collection, and real-time feedback to participants.

Eric Schadt, Ph.D., senior author on the paper and the Jean C. and James W. Crystal Professor of Genomics at the Icahn School of Medicine at Mount Sinai, and founding director of the Icahn Institute for Genomics and Multiscale Biology, spoke about the significance of the study in a prepared statement. “The Asthma Mobile Health study represents the coming together of academia and industry to benefit from the ubiquity of smartphones and harness the power of citizen-science to modernize the clinical research process. We now have the ability to capture rich research data from thousands of individuals to better characterize ‘real world’ patterns of disease, wellness, and behavior. This approach provides a more comprehensive and accurate view of our patients that was not feasible in the past due to logistical limitations and prohibitive costs.”

In 2015, there were 3 billion smartphones in use globally, and that number is expected to double by 2020. Mobile health studies allow scientists to reach unprecedented numbers of participants around the world. Future directions for digital health at Mount Sinai include more work on enterprise-level electronic informed consent and expansion to other diseases and health conditions.

 

 

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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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Clinical Team Communication and Data Access in the Palm of Your Hand

Thursday, October 25, 2018 | 1:00 p.m. ET, 12:00 p.m. CT

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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