Clinicians using predictive analytics to improve patient care decisions

Article | October 8, 2026

Better hospital patient flow management: launching the digital flight deck

A hospital can be full of excellent clinicians and still fall short, simply because the right bed, porter, scanner or specialist isn't free at the critical moment. That gap between clinical talent and daily coordination is where performance leaks away.

For executives, the timing makes this urgent. Demand keeps climbing, labor’s tight and capital expenditure is harder to justify. So, the next real gain won't come from spending more.

It'll come from using the capacity you already have with far greater precision.

Gartner points out that healthcare provider CIOs entered 2026 squeezed by fiscal and workforce constraints, with smart hospital asset tracking among the priorities expected to prove their value. The workforce math reinforces the point. The World Health Organization projects a shortfall of about 11.1 million health workers by 2030, and although the strain hits hardest in lower-income countries, systems at every level struggle to deploy and retain staff.

No hospital can recruit its way out of every bottleneck.

Which is why leaders are borrowing an idea from aviation, logistics and manufacturing: the flight deck. A dashboard reports what happened. A flight deck helps teams act, giving clinical, operational and support staff one shared operating picture so they work from the same facts. Used imaginatively, AI hospital management sharpens that picture with earlier warnings and better options.

Two areas stand to gain the most: hospital patient flow management and clinical care management.

Hospital patient flow solutions: coordinating capacity and flow

Most hospitals already run dozens of systems for records, scheduling, staffing, assets, pharmacy and transport. Each describes one slice of the organization, and the full picture often arrives late or in bits. Without efficient hospital asset tracking, the consequences are all too familiar:

Patients wait for discharge when medication, paperwork and transport don't line up.
Procedures start late when staff, rooms and equipment aren't in sync.
Nurses lose time while hunting for devices.

Deloitte's 2026 survey of 180 health system executives across six countries found that 56% expect AI to add real value to operational capability, incorporating optimized hospital patient flow software systems and predictive staffing.

DXC has helped hospitals close these gaps.

At Royal Adelaide Hospital (one of Australia's largest), DXC built and now runs an integration engine that connects 13 clinical and building systems from 13 different vendors, along with a wireless hospital asset tracking system that monitors equipment and at-risk patients across the site. The payoff is coordination: the right people and equipment in the right place at the right time, so that before a trauma patient arrives, an operating room can be readied and an elevator held. Staff spend less time chasing assets and more on care.

Capacity also leaks through the back office. Barts Health NHS Trust in London faced a mounting administrative load, with thousands of recruitment cases a year and little room to add headcount. Working with DXC, Barts:

Automated more than 18,000 cases in the first year.
Processed around 80,000 records.
Delivered roughly 80% efficiency gains.
Reached an ROI within 12 months.

The outcome that matters isn't the automated hospital patient flow management software itself. It's the staff time released and redirected toward patients.

The same discipline applies on the payer side, where a patient's coverage experience begins. Delta Dental's core system serves about 36 million members and had reached end of life with no ready replacement. DXC re-platformed it to a cloud-native architecture in 12 months with zero defects, delivering releases up to 12 times faster and around $350 million in maintenance savings.

For members, that means dependable service at scale. For the business, smart hospital solutions and room to grow.

Clinical care management: sharper decisions at the point of care

Coordinating capacity keeps patients moving. AI clinical decision support and care management ensures clinicians have the evidence they need at each decision point. Executives recognize this. In the same Deloitte survey, 42% expect AI clinical decision support to add value.

Singapore General Hospital shows how this looks in practice. With DXC and Synapxe, it built an antimicrobial stewardship tool called AI²D that weighs patient data to guide antibiotic decisions for respiratory infections. In an analysis of around 2,000 pneumonia cases, the model:

Reached 90% accuracy on whether antibiotics were needed.
Narrowed those cases down to 624 worth reviewing.
Caught 87% of the ones that needed action.

The result is safer prescribing, expert time focused on the hardest cases and a stronger stand against antimicrobial resistance.

As with predictive analytics in healthcare, reliability underpins all of this. The Royal Flying Doctor Service in Australia demonstrates that the clinical value of remote and emergency care depends on having the right data at the right moment, provided by platforms that deliver when it counts most.

From visibility to action

This ability takes more than software, and that's where DXC's footprint helps. As a provider of healthcare IT solutions and services, DXC supports around 250 healthcare customers worldwide, with roughly 18,000 people focused on the sector and more than 1,000 digital transformation projects behind it. That coordination also hardens hospitals against disruption from cyber incidents to supply shocks, by quickly showing leaders what's affected and where to find alternatives.

Two DXC offerings map neatly onto the flight deck concept.

DXC Xponential is a repeatable blueprint for putting AI to work: start with a focused proof of value, embed governance and observability from the outset, then scale what works. The Singapore antimicrobial program followed that path, so its results stay traceable and auditable as it expands.

DXC OASIS brings agentic AI, live signals and human insight together to keep mission-critical tech running; the dependable healthcare IT solutions and services hospitals need behind everything from records to bedside devices.

Start where delay hurts most

The way forward is pragmatic rather than sweeping:

Pick the operational and clinical moments where delay causes the most damage to flow, staff capacity or patient safety.
Build shared visibility around those moments.
Apply AI and automation to speed up response and improve accountability.

Hospitals that coordinate themselves in real time will improve outcomes without waiting for more staff, budget or a new hospital bed management system.

And that performance gain is available right now, from resources already inside the building.