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Healthcare Algorithms | News, Analysis, Insights - HIT Consultant

AI Algorithm Alerts Therapists to Suicide Risk in Patients

by Syed Hamza Sohail 09/13/2023 Leave a Comment

What You Should Know: - In light of Suicide Prevention Awareness Month, Talkspace announced the results of its unique AI algorithm over the last three years of identifying individuals at risk of self-harm or suicide. Using machine learning capabilities, the Talkspace platform can detect language patterns consistent with high-risk behaviors that place individuals at risk for self-harm. - The analysis runs real-time on messages sent by patients in their secure and encrypted virtual therapy room and triggers an urgent alert to the therapist. While Talkspace is not a crisis response service, an alert that an individual is displaying signs of suicidal ideation allows the provider to respond with appropriate care. A subset of anonymized, consenting clients flagged for risk suggests the model is 83% accurate. Machine Learning Driven Language Patterns Analyzed for High-Risk Behaviors “Technology will never replace that uniquely human interaction that occurs between provider and patient. However, we will prioritize machine learning capabilities that offer clinical assistance to improve the ability of our therapists to deliver the highest quality of care,” said Jon Cohen, MD, CEO of Talkspace. “In light of escalating suicide rates in the midst of a growing mental health crisis, developing and scaling technological aids for early intervention is mission critical for Talkspace.” The natural language processing (NLP) model was developed by Talkspace in partnership with researchers at NYU Grossman School of Medicine and trained on anonymized, client-consented therapy transcripts to distinguish messages displaying suicidal risk from those without. Research published in Psychotherapy Research, titled “Just in time crisis response: Suicide alert system for telemedicine psychotherapy settings” (NYU Grossman School of Medicine; Bantilan, N., Malgaroli, M., Ray, B., & Hull, T.D. (2020)), presents evidence that the suicide and risk detection algorithm identified risk from non-risk content with 83% accuracy when compared to a human expert evaluating that same material. Since 2019, when it was introduced onto the platform, Talkspace’s proprietary NLP model has flagged approximately 32,000 Talkspace members whose written messages to their therapists have shown signs of suicidality or risk of self-harm. Of those flagged individuals who continued to receive care through Talkspace, more than 50% demonstrated improved outcomes. According to an internal provider feedback survey, 83% of Talkspace mental health providers find the feature to be useful in providing clinical care and mitigating clinical risk. Talkspace will continue to develop AI technology with the goal of supporting mental health providers, enhancing quality of care, and improving outcomes for patients.

What You Should Know: In light of Suicide Prevention Awareness Month, Talkspace announced the results of its unique AI algorithm over the last three years of identifying individuals at risk of self-harm or suicide. Using machine learning capabilities, the Talkspace platform can detect language patterns consistent with high-risk behaviors that place individuals at risk for self-harm.The analysis runs real-time on messages sent by patients in their secure and encrypted virtual therapy
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Viz.ai, UCSF to Commercialize 3 Cardiac AI Algorithms

by Jasmine Pennic 09/01/2023 Leave a Comment

Viz.ai Raises $100M for Care Coordination Platform at $1.2B Valuation

What You Should Know: - Viz.ai, an AI-powered disease detection and intelligent care coordination has signed an exclusive licensing agreement with University of California, San Francisco (UCSF) to commercialize three AI algorithms for the automated detection of cardiovascular diseases. - Developed at UCSF by leading researchers, these AI algorithms to detect cardiac amyloidosis, pulmonary hypertension, and supraventricular tachycardia are based on analysis of electrocardiograms (ECGs), the
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New AI ECG Algorithm Beats Standard Approaches for Detecting Heart Attacks

by Syed Hamza Sohail 06/29/2023 Leave a Comment

New AI ECG Algorithm Beats Standard Approaches for Detecting Heart Attacks

What You Should Know: A new machine learning model uses electrocardiogram (ECG) readings to diagnose and classify heart attacks faster and more accurately than current approaches, according to a study led by University of Pittsburgh researchers that published today in Nature Medicine.The model was developed by co-author Ervin Sejdić, Ph.D., associate professor at The Edward S. Rogers Department of Electrical and Computer Engineering at the University of Toronto and the Research
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FWA Is Increasing. Healthcare Costs Are Spiraling. Now There’s A New Generation Of AI Technology To Take Back Control

by Theja Birur, Chief Technology Officer & Founder, 4L Data Intelligence 05/12/2023 Leave a Comment

FWA Is Increasing. Healthcare Costs Are Spiraling. Now There’s A New Generation Of AI Technology To Take Back Control

In 2020, the Department of Justice estimated that fraudulent, wasteful, and abusive (FWA) billing practices account for more than $100 billion of the nation’s healthcare expenditures.1 Today, the National Healthcare Anti-Fraud Association (NHCAA) conservatively estimates that healthcare FWA costs the nation about $68 billion annually, representing 3% of the nation's $2.26 trillion in healthcare spending.2  FWA estimates from commercial health plans range as high as $230 billion annually, or
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M&A: MultiPlan Acquires Benefits Science LLC for $160M

by Fred Pennic 05/09/2023 Leave a Comment

M&A: MultiPlan Acquires Benefits Science LLC for $160M

What You Should Know: MultiPlan, a provider of data-enabled cost management, payment, and revenue integrity solutions for 700+ healthcare payors announced the acquisition of Benefits Science LLC (BST) for $160M in cash and stock.BST was founded in 2012 by a group of MIT-trained experts in data science, including Dimitris Bertsimas, Ph.D., who is recognized as an early pioneer in healthcare analytics and who serves as the company’s chief data scientist. Dr. Bertsimas will continue with BST
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How AI Can Deliver Benefits in Healthcare Manufacturing and Patient Device Usage

by Michael Tay, Platform Lead, Rockwell Automation 05/01/2023 Leave a Comment

How AI Can Deliver Benefits in Healthcare Manufacturing and Patient Device Usage

According to Grand View Research, the global artificial intelligence (AI) in the healthcare market size was valued at USD 15.4 billion in 2022 and is expected to grow at a compound annual growth rate (CAGR) of 37.5% from 2023 to 2030, to reach an estimated USD 208.2 billion. That’s an impressive growth rate, indicating the expected value delivery to a mostly early-phase adoption of AI in the healthcare marketplace. With such aggressive predicted growth, many health industry professionals
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Consumer Trust: How Healthcare Organizations Can Build Confidence with AI

by Sanjeev Sawai, Chief Product and Technology Officer, mPulse Mobile 04/27/2023 Leave a Comment

Consumer Trust: How Healthcare Organizations Can Build Confidence with AI

Trust is a vital component of healthcare. It impacts whether someone shows up for a doctor’s appointment, follows their treatment plan, or plays an active role in their health. But building trust doesn’t just happen at the front counter, inside the doctor's office, or in face-to-face interactions. Increasingly, consumers are interacting with their health plans through online and mobile touchpoints — and these virtual experiences are no less crucial to building trust than in-person
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Children’s Mercy Kansas City Launches Patient Progression Hub

by Jasmine Pennic 04/24/2023 Leave a Comment

Children's Mercy Kansas City Launches Patient Progression Hub

What You Should Know: - Children's Mercy Kansas City launches its Patient Progression Hub – a hospital operations center that uses artificial intelligence (AI), predictive analytics and real-time information to optimize care progression and coordination from the time a patient's admission is requested until discharged. - The Patient Progression Hub is part of a strategic collaboration with GE Healthcare to improve access, streamline the flow of patients, enhance discharge planning,
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Bringing The Customer Voice to Life in Healthcare

by Leslie Pagel, Chief Evangelist at Authenticx 04/14/2023 Leave a Comment

Bringing The Customer Voice to Life in Healthcare

Voice is a powerful tool. The average person speaks about 7,000 words daily (although anyone who’s spent time around young children knows that estimate is probably low). Yet amid healthcare organizations building a more customer-centric approach to customer experience (CX), many have not included a key piece of the CX puzzle: analyzing the voice of the customer. The value of unstructured data Healthcare organizations use a variety of existing touchpoints to connect with their customers.
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What Role Can Consumer Health Technology Play in Diagnoses?

by David Smith, President at ilumivu 04/12/2023 Leave a Comment

What Role Can Consumer Health Technology Play in Diagnoses?

There’s an ongoing debate regarding the role that consumer health technology, like wearable health devices (i.e., smartwatches), can play in diagnostics, now and in the future. Because this is a relatively new technology, the scope of its potential impact is, at present, only scraping the surface. Even so, smartwatches and their connected health apps are reshaping the healthcare industry. This technology has the ability to not only make personalized healthcare more widely accessible, but its
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