Increasing Efficiency and Reimbursements with Clearinghouses
Clearinghouses are just one great example of how the enhanced exchange of healthcare data can increase efficiency for healthcare providers and the greater healthcare community.
Clearinghouses are just one great example of how the enhanced exchange of healthcare data can increase efficiency for healthcare providers and the greater healthcare community.
The scaling power of AI can simultaneously remove barriers to access, drive costs down system-wide and elevate the role of the human clinician so they can focus on human touch that their patients need.
Autonomous coding startup Nym raised $47 million. The New York City-based company has 21 provider customers, including Geisinger and Ochsner Health.
Plenful has completed a $17 million Series A funding round, bringing its total fundraising amount to date to more than $25 million. The startup offers a software platform that automates the manual and administrative tasks that burden pharmacists and pharmacy technicians.
Banner Health is deploying Qventus’ perioperative technology across the entire organization following the success of an initial pilot. The software integrates with EHRs and uses machine learning to automate operating room scheduling processes and maximize surgical caseloads.
As healthcare IT undergoes continual evolution, the integration of automation and human connection is poised to define the trajectory of IT support. This synergy promises a smooth experience for users and ultimately contributes to enhanced patient care.
As technology advances, AI-powered tools will increasingly reduce the administrative burdens on healthcare providers.
Embracing the possibilities that AI unlocks, our commitment to seamlessly integrating AI into healthcare workflows reflects our belief that technology should melt into the background, empowering human caregivers to focus on delivering compassionate patient care.
By streamlining front-end processes, reducing errors, and ensuring prompt service delivery, AI and automation not only boost the patient experience but also optimize revenue streams.
The revenue cycle management business is using AI tools to automate cumbersome tasks to help hospitals operate more efficiently. It's beginning to attract the attention of major healthcare organizations.
It is no longer a question of whether we should use automation for care orchestration. The technology for intelligent automation of care coordination is available now and can help providers reduce costs, generate revenue, and overcome understaffing.
Executives from Imagine360, Verily, BrightInsight, Lantern, and Rhapsody shared their approaches to reducing healthcare costs and facilitating digital transformation.
The healthcare AI space will be an exciting one to watch over the next couple years, as investment dollars flow to startups and providers launch more AI pilots. Two of the most interesting trends to watch will be the use cases that healthcare organizations prioritize when deploying generative AI models, as well as M&A activity within the healthcare AI field, a CB Insights analyst declared during a recent webinar.
By properly selecting and implementing the right technologies for your practice you can reduce burnout and increase earnings. Follow these steps to double your reward.
CodaMetrix, an AI platform for hospital revenue cycle management, recently closed a $55 million Series A funding round. The company, which was launched out of Mass General Brigham in 2019, is focused on simplifying the complicated process of translating patient records into codes for billing and clinical research.
Panelists at a recent healthcare conference expressed optimism about the automation technology that health plans, pharmacy benefit managers and providers can adopt to facilitate real-time data sharing. They said that such technology has potential to improve medication adherence, reduce costs and save time for both providers and payers.