Old systems correction is pain, but health care leaders and workers do so every day. Is the full update of health away?
Artificial intelligence explodes in health care. There were a lot of administrative uses for that; Many clinical publishing operations so far. What can happen to push the routine use of the spontaneous organization by hospitals and health systems to the main current?
Every person in the field of health care is definitely known as value -based care in this industry. But what can make the standard of industry? maybe?
Robert Conley has answers to all these three questions – and says that the change for the three will happen this year.
Connely is the leading company in the global industry market for health care in PEGA, and is a specialist in the institution Decision of artificial intelligence And automating the workflow. It has more than three decades of experience in the field of entrepreneurship, innovation and strategic leadership in global organizations such as MCKESSON, AETNA and emerging companies in the field of successful information technology such as Medicity.
Reymagine and replacement “
Healthcare organizations this year will abandon the “wrapping and renewal” approach to the old systems in favor of the targeted strategies “strategies and replacement”.
“The shift in 2025 from the correction of old systems to a complete modernization requires a good balance,” he said. “The goal is to enable institutions to address complex processes using techniques such as artificial intelligence, which leads to future value while reducing technical debts associated with preserving old systems.
“This transformation is likely to affect two basic areas: the development of the modernization strategies themselves and the rise of artificial intelligence platforms.” “These elements are revealed simultaneously, but the distinctive style appears.”
The update has turned away from the traditional “Rip and Rappion” approach, which exchanges the old systems of the latest systems-while this method is very complex, expensive and takes a long time, and often takes months in the discovery phase alone.
“He often fails to address the complex operations that companies face now, such as caring for comprehensive patients and managing the provider’s life cycle,” he said. “Old systems are not designed to deal with these interconnected work skills.
He added: “A later approach has sought,” wrapping and renewing, to extend the life of old regimes by integrating them with modern technologies, which allows them to participate in the complex workflow. ” To solve it later. “
He said that the emerging trend includes the division of old systems into normative components and their distribution through various layers of technology, which allows more flexibility and expansion.
He said: “This is an approach that we call” rethinking and replacing “, and is used as an artificial intelligence to align the business quickly and effectively in terms of cost and information technology to design and automate new workflow improvements.” “This capacity extends a low symbol technology, allowing institutions to accelerate time to evaluate while reducing the development efforts they need traditionally to program artificial intelligence to the complex performance
He pointed out that “the acting coordination platforms on behalf are a major empowerment factor for this new approach.” “These platforms link the old systems with the progress of modern action, as they deal with contemporary, organizational and security requirements without the need for expensive and exhausting updating amendment. By creating a bridge between the old and the new, these platforms provide gradual modernization.”
Organizations can publish modern workflow tasks Today while drawing a clear road to stop the old systems, he advised. Then the central question becomes: When does the technical religion exceed the value of preserving the old system?
He said, “By applying these concepts of modernization and platforms, institutions will create road maps for training that ultimately leads to the retirement of old systems as their jobs continue to live and develop in the latest platform environments to meet the constantly changing needs,” he said.
The future of artificial intelligence depends on security
Konley said the future of artificial intelligence in health care depends on overcoming security concerns, especially about managing private patent data, and 2025 will be the turning point.
“I see a security penetration of two angles: technology and technology,” predicted. “At the present time, most of the artificial intelligence depends on automation and decisions to make statistical intelligence to predict, define and automate work. Security concerns focus on using models and reviewing outputs to track behavior, promote performance, define biases, and ensure responsible use.
On the technological side, the barriers that prevent artificial intelligence from adopting data insurance for Symbolic artificial intelligence models, such as AI ToulidiAnd the effective management and review of AI Statistical, “Continue.” For obstetric artificial intelligence, the generation work frameworks for retrieval are enhanced by merging private data from information systems. “
This explained that the data is divided into parts, allocated and included in the claim sent to the Great Language Model. While LLMS can be directed not to use data for training, there is a mathematical possibility to decode the claim.
“The promising solution lies in homogeneous encryption, and it is a technique that allows data to stay encrypted while processing it with the artificial intelligence model.” “Through this technology, LLMS can produce reinforced responses using encrypted data, which is then decoded when returning to the source. However, this method is still a few years away from practical implementation. Meanwhile, the latest methods are developed To advance the use of artificial intelligence.
“One of the emerging technologies includes the adoption of private LLMS,” he added. “Institutions are building their vectors’ databases increasingly, and includes ownership data that can reach artificial intelligence without exposing them beyond the security limits of the institution. This method allows institutions to harness the benefits of obstetric intelligence without the risks associated with public tools, such as ChatGPT. ”
In addition, developers and integrated artificial intelligence apply narrow from specific workflow tasks.
“This concentrated use displays the boundaries, reduces the risk of safety and makes it easy to measure the value,” Konley said. “By combining these special strategies – private LLMS, vector databases and artificial intelligence applications – executive managers find ways to adopt artificial intelligence safely while opening its potential value.”
AI enhances value -based care
In 2025, artificial intelligence that converts value -based care will be from an experimental initiative to standard health care model, as Connely predicted.
“Lack of satisfaction with the US health care motivation is at the highest level ever,” he said. “The United States is unique in owning the most technically advanced medical system-and at the level of the world, however it is often a transition from the fee forms for service to value-based care contracts.
“VBC is mainly the traditional health care modelHe continued this model, demanding motivated to adopt a more focused approach on the patient and organs.
Care management programs have already proven that repeated participation and pre -emptive interventions can reduce costs by reducing emergency room visits, hospital entry and other high -cost services. However, there are not enough care managers to expand these efforts through the entire population.
“This is the place where artificial intelligence enters,” Konley said. “Amnesty International can increase care management by engaging with members and broader support networks, including care, family, social services and service providers. Through synchronization of artificial intelligence, education and pre -emptive intervention, health systems can address segmented operations. This goes beyond Simple Beyond Ai Chatbots to AICENCE AI platforms – more advanced systems capable Complex health care challenges and workflow.
“Since VBC reshapes the role of the motivation, which requires them to bear more responsibility for the results and trips of the patient, technology becomes a decisive empowerment factor,” continued. “For healthcare executives, this is from the top of mind. The AI’s systems allow for better participation and coordination between service providers, members and others in the ecosystem for health care.”
He added that these developments speed up the shift to VC by enabling creditors to work as real collaborators to improve results while controlling costs.
“Agenicic AI also has the ability to treat one of the most stable political divisions in American health care: tension between individual and group solutions,” said Conleyic AI. “Traditionally, the inability to make decisions on the individual level has allocated the dollar of health care to the wide population groups – an ineffective approach and exhibition of fraud and waste.
Amnesty International changes this dynamic by empowerment He added: “It allows motivated to analyze individual positions in the context and apply the rules and interventions determined by the individual needs at that moment. This approach combines the efficiency of targeted care that depends on data and the fairness of the policies designed for everyone.”
He said that by enabling accurate and personal decisions, artificial intelligence corresponds to the wider social justice goals, and to ensure the use of resources more effectively.
Konley concluded that “artificial intelligence technology is developing rapidly, as the motives provide new ways to interact with service providers, members and social systems.” “These developments lay the foundation to become value -based care to become the standard of US health care, provide their promise to improve results, reduce costs and transfer system for the better.”
Follow Bill Hit coverage on LinkedIn: Bill Seuiki
Email him: bsiwicki@himss.org
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