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Study: mHealth Intervention Program Helps Post-Discharge Schizophrenia Patients

August 5, 2016
by Rajiv Leventhal
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Engaging in a mobile health (mHealth) intervention program can help Individuals with schizophrenia-spectrum disorders during high-risk periods after hospital discharge, according to new research in the Journal of Medical Internet Research Mental Health.

According to the researchers, from various prominent medical institutions across the U.S., mHealth interventions that use mobile phones as instruments for illness management are gaining popularity. Research examining mobile phone‒based mHealth programs for people with psychosis has shown that these approaches are feasible, acceptable, and clinically promising. However, most mHealth initiatives involving people with schizophrenia have spanned periods ranging from a few days to several weeks and have typically involved participants who were clinically stable, they said.

As such, the aim of this study was to evaluate the viability of extended mHealth interventions for people with schizophrenia-spectrum disorders following hospital discharge. The researchers examined mHealth intervention use and demographic and clinical predictors of engagement in 342 individuals with schizophrenia-spectrum disorders who were given the FOCUS mobile phone intervention as part of a technology-assisted relapse prevention program during the six-month high-risk period following hospitalization.

Once individuals demonstrated their proficiency using the phone and understanding the program, the assigned case manager engaged them in a shared decision-making process to identify the three most relevant treatment targets from five possible FOCUS modules: medication adherence, mood regulation, sleep, social functioning, and coping with auditory hallucinations. Once treatment targets were selected, they were input into the mobile phone and patients could use FOCUS independently. The FOCUS system prompted patients to engage in a brief assessment/intervention up to three times daily, focusing on their assigned treatment targets. In addition to pre-scheduled prompts, participants could access the treatment content for all five modules without restriction as part of the FOCUS on-demand functions. The mobile phone transmitted participant use data to a remote server regularly, the researchers noted.

On average, participants engaged with FOCUS for 82 percent of the weeks they had the mobile phone. People who used FOCUS more often continued using it over longer periods: 44 percent used the intervention over five to six months, on average for 4.3 days a week. What’s more, the majority of participants were able to use the mobile phone and FOCUS program safely and without difficulty.

The researchers concluded, “Our findings suggest that most participants (74 percent) were willing and able to use the FOCUS program successfully during this high-risk period for three to six months, which refutes the oft-stated concern that people with schizophrenia who are not clinically stable cannot engage in mHealth interventions successfully. On average, participants engaged with the mHealth program every other day. On days they engaged, they used on-demand (self-initiated) tools more than once a day.”

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/news-item/mobile/labcorp-joins-apple-health-records-project

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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