Escalating costs, closed facilities, capacity problems, understaffing, understaffing, a lot of chaos — it sounds like a struggling industry — and that industry is health care. Can AI help fix some of the problems facing hospitals and healthcare providers? There has been progress on that front — not fast enough, but progress nonetheless.
While interest in AI for healthcare is high, “the level of acculturation of C-level executives is lagging behind, especially for organizations that need it most — pharma, medicine and hospitals,” she says. Report Regard. The problem, the study authors say, is in the data. “Enhancing the patient care pathway and improving care delivery remains high on organizations’ agendas,” according to a team of report co-authors, led by Charlotte Byron Perlis. However, about a third of healthcare organizations surveyed by Capgemini prioritize the availability of patient information. We don’t see much progress from 2021 [the year of the previous study]. “
The good news is that many healthcare providers are ramping up their work on AI. “The healthcare industry is now starting to implement AI and machine learning solutions at an increasing scale and sophistication,” he says. Tony AmbroseCIO in Baptist Health South Florida. “Artificial intelligence and machine learning will increase their ability to make sense of the vast amounts of data available.”
Where opportunities abound “are in using AI and machine learning to improve the patient experience around accessing healthcare — that is, improved access to care and meaningful, actionable health data,” Ambroszi continues. “Intelligent situational routing based on consumer history and consumer analysis of medical record data — helping consumers and patients better manage their health — are the obvious next steps in the journey simply because of the vast experience from other industries.”
Of course, healthcare is a huge conglomeration of moving parts, which makes things complicated. It’s a time for disruption, especially as AI and automation can fill in the gaps in routine and repeatable tasks. “Healthcare is a very complex sector and is probably the most regulated business in the country,” he says. Muddy GarageCEO of Qventus. “The sheer volume of menial and repetitive tasks that are part of patient care does not allow providers to perform at their highest license and focus on the work most important to patients. AI can streamline many of these processes.”
How does artificial intelligence continue to evolve to meet the needs of patients? “A true understanding of a patient’s long-term health needs—not just transactional care needs—requires analyzing an unimaginably large volume of data—genome, demographic data, medical history, environmental factors, symptoms, and much more,” says Ambrosi. “It is realistically impossible for providers to manually perform this analysis. Artificial intelligence and machine learning are evolving to produce unique solutions that can automatically perform the processing and analysis of massive data with the ultimate goal of helping clinicians identify safe, patient-specific treatment pathways.”
The challenges and changes needed to advance AI go beyond technical considerations. “With the entry of data and artificial intelligence into healthcare, we are dealing with a profound cultural change, which will not happen overnight,” said co-author Byron Perlis. “Many organizations are developing their own acculturation initiatives to develop data and AI literacy for their resources in attractive formats. AI goes beyond technical considerations.”
There has been a huge concern about a lot of healthcare being dehumanized by artificial intelligence. But once carefully thought and planned, it may prove to increase human welfare. “People, including providers, imagine that AI will be cold and calculate without regard for patients,” Garg says. “In effect, AI-powered automation of healthcare processes frees physicians and others from menial manual tasks that prevent them from focusing all their attention on patient care. While other AI-based products can predict events, the most impactful ones are being integrated into workflows.” In order to solve problems and guide actions by front-line users.”
New dynamics emerging in the healthcare system thanks to AI include:
- Greater patient centrality: “It’s not just that stakeholders now have a better understanding of what patients are doing truly want, but they also feel better equipped to meet their needs,” stated Byron Perlis of Capgemini and her co-authors.
- Increased intelligent capacity utilization. “Provider and hospital capacity is limited and will come under increasing pressure as the population seeking care ages,” says Ambrosi. “It is therefore imperative that capacity – be it a provider or facilities such as operating theaters – be optimized. Using AI and machine learning to better forecast demand and optimize resource utilization is gaining traction across the board. More care, sooner, better care saves spirits.”
- Opportunities to increase revenue. “AI-assisted care automation helps healthcare systems increase surgical revenues by maximizing operating room utilization through scheduling optimization,” Garg suggests. “By automating elements of the discharge process, it is also allowing hospitals to shorten the average patient stay. At the same time, hospitals are experiencing staffing shortages exacerbated by the COVID-19 pandemic. They no longer have the necessary bodies to carry out procedural tasks and need to free up their providers to do With the most important work. AI-powered care automation makes this possible.”
- More fruitful research: The Capgemini team notes that “start-ups, large corporations and research institutions are reshaping the R&D panorama.” We see more approaches to narrow down the selection of promising drug candidates, sometimes with a quantum benefit. The race to develop more efficient medicine generates excitement around reconsidered processes, new data sources and value-added use cases that address pain points for patients and practitioners.”