Digital Quality Dispatch: August
Astrata, Inc
We make purpose-built, industry-leading, HEDIS?-focused software for health plan quality teams.
Resources for health care leaders on their digital quality journey
August Blog: The Clock is Ticking: Priority Measures for MA and Medicaid Prospective HEDIS review
If you’re developing a Prospective HEDIS program, you’ll want to be aware of the measure changes happening now, and those coming in the future. Which ones are “must-do” today on an NLP platform, and what measures may be coming soon to challenge your existing infrastructure. In this blog, we break it down into now, next year, and the future to give you a quick check list for your prospective HEDIS planning.??
New Case Study Released
This study was performed with CDPHP to measure the impact of using an AI-driven prospective HEDIS solution on clinical quality rates, labor costs, and operations. The results are impressive!
You can also visit our website to review or download all of our case studies and explore how leading regional health plans are realizing ROI from our products; saving millions in costs, drastically improving efficiencies and supporting higher quality ratings via NLP-assisted Prospective HEDIS?.
Astrata featured on NCQA's Quality Matters Podcast
Listen as Rebecca Jacobson, MD, MS, FACMI, CEO of Astrata, Inc joins Andy Reynolds on NCQA 's Quality Matters podcast to discuss the move to Digital Quality Measurement. Learn about the significance of an early start for lasting success and the sociotechnical roadblocks to anticipate.
A conversation with Melissa Newton Smith – watch the webinar?
We were delighted to have Melissa Newton Smith from the Newton Smith Group in conversation with our CEO Rebecca Jacobson. It was an open and honest discussion about some of the challenges facing HEDIS and Stars teams, as well as how to tackle them. Topics included:?
We got great feedback from attendees who felt it gave them what they needed to talk to their senior leadership teams.?
Get access on demand to this webinar:?Moving the needle with Digital Quality: Practical Advice from Industry Insiders
And if you’ve missed any of our previous webinars, you can always access them on demand here:??Library of On Demand Webinars
Astrata Achieves HITRUST r2 Certification Demonstrating the Highest Level of Information Protection Assurance
HITRUST r2 Certification validates Astrata is committed to strong cybersecurity and protecting sensitive data.
We’re thrilled to share that our Chart Review, Constellation, Quality Navigator, and eMeasure solutions have successfully achieved HITRUST r2 Certification!
Congratulations to our CTO, Girish Chavan and the entire Astrata, Inc tech team for this major accomplishment. We put protecting patient privacy at the forefront of any task that we do. We never compromise when it comes to safeguarding our customer’s data, constantly upgrading our systems and processes to stay in step with the best practices. Getting this certification was much easier because of our security first approach. The entire platform is now HITRUST certified!?
领英推荐
Astrata Home Week 2024
We were delighted that so many of our team members and their families were able to come together in Pittsburgh for an inspiring week!
Upcoming In Person Events
Next Stop-The HEDIS??& Quality Improvement Summit
We hope to you September 29-October 1 in Las Vegas. We look forward to connecting with customers, friends and fellow sponsors for an engaging few days focused on Quality Improvement and all things HEDIS. We will be unveiling a new booth design and are stocked up with fresh materials to share and some great giveaways. Come see us!
Attest HEDIS? Client Conference
Then it is off to San Antonio on October 7-8 for the annual Attest HEDIS Client Conference. This will be our first year attending this conference and we have heard such great things. We are excited to join everyone at the Westin Riverwalk.
Meet us at NCQA’s Health Innovation Summit?
To wrap up the month, the Astrata team will be at the NCQA Health Innovation Summit from? October 31-November 2, at the Gaylord Opryland Resort & Convention Center in Nashville, TN. It’s the highlight of our year and we are excited to be there with a strong contingent of Astratians. We are thrilled to announce that our CEO Rebecca Jacobson will be a Keynote Speaker and is on the main stage on Day 1 to discuss digital quality with other industry leaders. And as usual, we’ve got exciting product news, as well as great giveaways. So please register and stop by to say hello at Booth #517.?
Good reads?
This month we are looking at a variety of interesting applications of large language models in quality and safety, starting with one review article to help beginners get up to speed (by M Howell). That’s followed by two interesting articles which highlight very different use cases – frailty scoring and complaint management. Both of these studies are early, but we think you can see the potential for reducing administrative burden that could result.??
Generative artificial intelligence, patient safety and healthcare quality: a review.??
This review paper by Michael Howell is an excellent starting place if you are trying to understand what these new foundational models (AKA large language models) are and how they could impact patient safety and quality measurement. The article is written for a non-technical audience and provides a really good intuitive understanding about what’s going on without any math to fuss over. I found myself wishing that it went a little farther into the potential applications in quality measurement and improvement. It does offer some views of the future, but understandably it’s a fuzzy future. I think we are already seeing some pretty interesting examples of usage such as the article below!?
Use of a large language model with instruction-tuning for reliable clinical frailty scoring?
As the US population continues to age, we are increasingly caring for elderly and frail patients. We know that frailty is an important predictor of health outcomes, and that frailty should be a factor in decision-making, including surgical decision-making. But frailty scoring is yet another task required of clinicians who are increasingly overburdened. This paper by Kee et al, looks at how large language models could be used to automate efficient and reliable frailty scoring. The number of items used was low (N=7) and the data used was not a complete medical record, so this study should be considered as an initial evaluation. Nevertheless, the results were promising. The automated method produced similar results to the humans scoring, but was more consistent than human scores.??
Performance of Large Language Models in Patient Complaint Resolution: Web-based cross-sectional survey?
Successful management and resolution of complaints is an important part of STAR rating success. It’s also incredibly challenging, especially as regulators are rapidly changing programs and health plans are evolving to address these changes. Previous work has shown that Chat-GPT generated answers to patient portal questions that are well-received by patients and deemed to be more “empathetic”. Could a similar approach be used with patient (and member) complaints? In a head-to-head comparison, 188 health care workers were asked to judge the Chat-GPT generated response against a human generated response, for four characteristics: appropriateness, completeness, empathy and satisfaction. In this small study, the Chat-GPT generated responses were rated higher in every category. It’s not hard to envision the potential for this technology to significantly impact member satisfaction and engagement, which is so essential for CAPHS success. I predict we will see a lot more of this kind of application in the future!?
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