Healthcare IT Today Interviews

• RapidClaims’ LLM-Powered RCM Solution Seeks Truth in Billing & Fewer Denials

  Although providers and payers feel like they're engaged in an epic, ongoing battle over claims, Abhinay Vyas, Co-Founder and Chief Data Officer at RapidClaims, believes that approvals can increase when both realize that they are fundamentally interested in truth. RapidClaims' AI-driven revenue cycle tools help to uncover the complexities in care and provide the evidence to back up a claim.Vyas says that AI has to be both accurate and explainable to be adopted. RapidClaims' algorithms are self-hosted and self-trained. They are flexible enough to support every specialty and adapt to the needs of different institutions. To this end, they have more than 118 AI models, which they set against each other to eliminate errors and hallucinations.Lisa Rosenkoetter, Vice President of Sales at RapidClaims, says they address cost, revenue, and compliance. As the complexity and severity of health conditions increase, providers "need to recoup every dollar for the care you've provided."Learn more about RapidClaims: https://www.rapidclaims.ai/Healthcare IT Community: https://www.healthcareittoday.com/

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• Leveraging Unstructured Data to Improve Care and Reimbursement at PointClickCare

  PointClickCare is a major EHR service with a 25-year history, originally focused on post-acute care settings such as skilled nursing and assisted living but has expanded to provide health it services to the full spectrum of healthcare provider organizations.  As they've expanded their services, one of the areas they wanted to help was care transitions between acute care and post acute care and back. After a two-year investment in AI, they've enhanced the services they offer to make transitions go more smoothly and intelligently.Plus, they have recently unveiled a service named Chart Advisor within their skill nursing EHR. It looks through freeform documentation such as progress notes to find important information that isn't in the structured fields and could have an immediate impact on care. For instance, if the patient had a fall in the hospital, have the doctors performed the necessary assessments and accommodations to prevent more falls?According to Chief Revenue Officer Brian Drozdowicz, who we interviewed at the HLTH conference, searches through plain text documentation can help with both liability and reimbursement.  Leveraging technology to search and sort through all the unstructured data in documentation is really the key to improving care and revenue.Learn more about PointClickCare: https://pointclickcare.com/Healthcare IT Community: https://www.healthcareittoday.com/

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• Making Sure a Physician Advisory Program Improves Both Care and ROI

  Physician advisory programs, which educate clinicians in peer-to-peer fashion, are growing in several ways. This video at the AHIMA Annual Conference explores the many uses of these programs, as well as how to implement them and make sure they're effective. The speakers are Dr. Adriane Martin, Vice President of Physician Services at Enjoin, a CDI consulting firm, and Shameka Hooks, Executive Director, Midcycle Operations: Coding, CDI, Revenue Integrity and HIM at WakeMed, a teaching hospital with 970 beds and more than 1200 employees.Learn more about Enjoin: https://www.enjoincdi.com/Healthcare IT Community: https://www.healthcareittoday.com/

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• eClinicalWorks Analytics Dramatically Reduce FQHC No-Shows

  T.H.E. Clinic, a federally qualified health center serving a low-income communmity in Los Angeles, recently reduced missed patient visits ("no-shows") from 25-28% to 13-14%. To learn more about this exceptional improvement, we sat down with CIO Wilson Santos who describes how the healow AI-Powered No-Show Prediction Model helped their clinic achieve this goal.Many factors create what Santos called an "unacceptable" rate of missed visits. People are tied down taking care of family members, forget visits, get busy, or simply get well before the time of their visit and fail to cancel.T.H.E. Clinic was one of first adopters of healow AI-powered no-show prediction model, and after implementing it saw the great results.  The clinic now identifies the appointments most likely to be missed through predictive analytics on EHR data, and dedicates front desk staff to contacting them.Learn more about T.H.E. Clinic, Inc.: https://www.tohelpeveryone.org/Learn more about eClinicalWorks: https://www.eclinicalworks.com/Healthcare IT Community: https://www.healthcareittoday.com/

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• Tight Collaboration Between Vyne Medical and Client Drives Continuous Improvement

  AI has proven itself as a way to remove the burden of scanning, identifying, and uploading information. For Nemours Children's Health, AI solutions from Vyne Medical completely restructured and optimized their document handling practices.Cathy Murphy, HIM Operations Manager at Nemours Children’s Health, gives an account in this video of what data management consisted of before automation, and how Vyne's automated systems have transformed their practices. With the same staff, they can meet turnaroud times consistently and relieve clerical burdens on staff.Andrew Loeffler, Technical Project Manager at Vyne Medical, meets with Nemours every two weeks to check on the progress of current data collection projects and discover new ones. Most of the operations that used to be performed through a sequence of manual steps are now available through the Vyne API. They continuously look at processes that are still done manually to find automation possibilities.Learn more about Nemours Children’s Health: https://www.nemours.org/Learn more about Vyne Medical: https://vynemedical.com/Healthcare IT Today Community: https://healthcareittoday.com/

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