In the news. Quantum computing has moved a step closer to managing large, complex genetic data. TechRadar reports that researchers encoded a full viral genome onto a quantum computer, showing that real biological data sets can be processed on quantum systems. Despite using a small genome and not yet outperforming current tools, the research marks an early step toward applying quantum computing to large-scale genomic analysis—with researchers targeting up to 100 times faster performance in future systems. [TechRadar]

Business leaders who wait for a “perfect” fault-tolerant quantum computer before they act may find themselves behind the curve once such a machine does emerge.

On McKinsey.com. Quantum computing is approaching an inflection point where early business value is becoming tangible, particularly in sectors such as pharmaceuticals, finance, and logistics that face complex optimization and simulation challenges. In “Quantum’s bold promise: What business leaders need to know,” Henning Soller, Sven Smit, and Anna Heid estimate the technology could generate multibillion-dollar value across two stages over the next decade. Leaders can act now by identifying high-value use cases, launching hybrid quantum–classical pilots, and building talent and partnerships. Early movers that experiment today—rather than waiting for mature systems—can secure intellectual property and strategic advantage.

Leverage quantum’s business value

In the news. Hospitals in Ahmedabad are rapidly embedding AI into clinical care, moving beyond administrative uses, The Times of India reports. One provider uses AI to combine clinical and lifestyle data for early cancer and disease detection, while another applies it to plan minimally invasive, robotic-assisted surgeries. AI also supports operational functions such as forecasting bed demand and enabling paperless workflows, and one hospital aims to go fully paperless over the coming year. [Times of India]

On McKinsey.com. AI adoption in nursing is rising, but its impact remains uneven because the technology is often layered onto existing workflows rather than used to redesign them. In “Ushering in the next era of frontline nursing with AI,” Gretchen Berlin, Mhoire Murphy, Beth Bravo, and Stephanie Hammer find that nearly 65% of nurses report increased AI use, yet only about 2% say it is fully embedded in daily work. To unlock value, organizations can move beyond point solutions by redesigning care workflows, addressing trust and governance concerns, and launching targeted pilots that shift time from administrative tasks to patient care, improving both outcomes and workforce experience.

Reimagine nursing with AI

Curing the primary care deficit

In the news. The dearth of primary care physicians is intensifying pressure across the healthcare system, the Associated Press reports. One state alone faces a gap of hundreds of providers, contributing to long wait times and reduced access to care. A key driver is structural underinvestment: Primary care accounts for about 5% of healthcare spending, alongside a significant pay gap compared with specialists. Proposed solutions include increasing reimbursement, expanding care teams, and strengthening incentives for new doctors. [AP]

On McKinsey.com. The US primary care shortage reflects deeper structural challenges in access, investment, and care delivery. In “Primary care, reimagined: Workforce and care model innovation in a modern age,” Carina Serreze, Kana Enomoto, Kevin Collins, Matt Wilson, and coauthors from the McKinsey Health Institute and West Health estimate that the equivalent of 45 million Americans lack adequate access to primary care. The interactive tool shows that closing the access and cost gap will require more than workforce expansion: Leaders can realign incentives, invest in modern care models and digital tools, and redesign delivery to improve productivity and expand reach.

Transform primary care delivery