Hospital at Home: Singapore Programme Expands 15-Fold and Saves 21,800 Bed-Days

One of the most persistent pressures on modern health systems is the hospital bed itself. Wards are expensive to build and staff, patients often prefer to recover at home, and crowded facilities struggle to absorb seasonal surges in demand. Against that backdrop, a Singaporean programme that delivers acute-level hospital care directly into patients’ living rooms has become one of the most closely watched examples of how healthcare can be reorganised at scale. NUHS@Home, the hospital-at-home service run by the National University Health System (NUHS), has grown from a three-bed proof-of-concept pilot into a service that now accounts for a meaningful share of the system’s total bed capacity, and new analysis presented in Singapore this month has set out, in unusually systematic detail, how that expansion was achieved without compromising patient safety.

The analysis was conducted by the Centre for Behavioural and Implementation Science Interventions (BISI) at the Yong Loo Lin School of Medicine, National University of Singapore (NUS Medicine), working alongside the clinical leadership of NUHS@Home. Rather than simply reporting outcomes, the team applied implementation science methods, a discipline concerned with how evidence-based practices can be embedded reliably into real-world systems and workflows, to understand what it actually takes to move a small pilot into a full-scale service. Professor Nick Sevdalis, Director of BISI, worked with Dr Stephanie Ko, lead of NUHS@Home, to systematically map the considerations and approaches needed for scaling the programme between 2022 and 2025. The findings were presented at the Behavioural and Implementation Sciences in Health, Asia Conference 2026 (BISHAC 2026), Singapore’s first conference dedicated to these fields, as a real-world case study in accelerating healthcare transformation.

The numbers behind the scale-up are striking. NUHS@Home is NUHS’ Mobile Inpatient Care service, delivering acute-level care to patients who would otherwise require ward-based hospitalisation but who are clinically stable enough to be managed in their own homes. Launched in September 2020 as a three-bed proof-of-concept pilot, the service was subsequently pivoted to support COVID-19 care as part of the national pandemic response, a period that gave the team early operational experience in caring for acutely unwell patients outside hospital walls. Since May 2022, the service has grown from an average of 48 patients a month to more than 300 a month by 2025, a roughly seven-fold increase in patient volume. Virtual beds scaled even faster, expanding fifteen-fold from 6 to 90 over the same period.

Perhaps the most telling statistic concerns the service’s share of overall capacity. At full scale, NUHS@Home beds make up 3.3 percent of total bed capacity across NUHS, up from 0.6 percent at the start of the scale-up, a roughly 5.5-fold increase in relative share. That figure captures a structural shift rather than a temporary surge: a growing proportion of hospital-level care within the cluster is now being delivered safely at home instead of in a ward. Over the scale-up period, the programme saved an estimated 21,800 hospital bed days, capacity that was freed up for patients whose conditions genuinely require ward-based treatment. In systems where bed occupancy routinely runs close to operational limits, the ability to create that much headroom without constructing a single new ward carries obvious strategic value.

Crucially, the analysis found that rapid growth did not come at the cost of quality. As the service expanded, 30-day readmission rates and home visit frequency showed no statistically significant difference across the scale-up period. Readmission rates are one of the most closely scrutinised safety indicators for hospital-at-home models, because a deterioration at home that ends in an unplanned return to hospital is the key failure mode the model must guard against. Home visit frequency, meanwhile, is a proxy for care intensity, since in-person assessment by clinical teams is what distinguishes true hospital-at-home care from remote monitoring alone. Holding both steady while monthly patient volumes grew seven-fold suggests that the expansion was achieved by adding capacity and broadening eligibility rather than by thinning the care delivered to each patient.

The implementation science analysis identified three factors associated with successful scale-up. The first was growing the healthcare workforce trained to deliver hospital care at home, which is a non-trivial challenge: clinicians accustomed to ward-based practice need to learn to work autonomously in patients’ homes, coordinate remotely, and make decisions without the immediate backup of a physical hospital environment. The second was expanding the range of clinical conditions that can be managed at home, including patients with cancer and those recovering after surgery, groups that push the model well beyond the simpler infectious-disease and general-medicine cases with which many hospital-at-home programmes begin. The third was strengthening quality and safety processes, ensuring that governance, escalation pathways and monitoring kept pace as the service multiplied in size and complexity.

For the clinical leadership, the human dimension of those statistics is the point of the exercise. “Behind every number in this study is a patient who got to recover in their own bed, surrounded by family, instead of in a hospital ward. Working with BISI helped us understand how to scale that option safely, so more patients now have the choice of receiving hospital-level care where they’re most comfortable,” said Dr Stephanie Ko, Lead of NUHS@Home. The sentiment reflects a broader body of patient-experience research suggesting that familiar surroundings, better sleep and reduced exposure to hospital-acquired infection are among the advantages patients cite when hospital-level care can be delivered at home.

The work also signals an institutional commitment to making this kind of translation routine rather than exceptional. To accelerate the movement of research into frontline care across NUHS, a dedicated BISI team will support the scale-up of effective projects under the auspices of the newly established NUHS Health Services and Population Health (HSPH) Unit, which combines behavioural and implementation sciences with data science and health economics. Established on 1 August 2026, the HSPH Unit is positioned to drive health services innovation and population health improvement across the cluster. “Good ideas don’t scale by themselves. With the right method, a proven innovation can be grown quickly, safely and at lower cost. By applying implementation science methods, we helped NUHS@Home identify how to best grow and get the right care to more patients faster. With the new NUHS Health Services and Population Health Unit, our goal is not only to help scale more effective programmes in NUHS, but to help build the cluster’s capability to translate evidence into better care, routinely,” said Professor Nick Sevdalis, Director of BISI and the HSPH Unit.

The NUHS@Home findings were presented at BISHAC 2026, held from 3 to 5 September 2026 and convened by BISI, one of the few centres in the world to combine behavioural science and implementation science expertise within a single organisation. The distinction between the two fields matters: behavioural science explains how people make decisions, while implementation science explains how evidence-based practices can be embedded into systems and workflows. BISHAC 2026 marks the first time the two fields have been brought together in a dedicated Singapore conference, with a deliberate focus on Asian health systems, where ageing populations, rising chronic disease burden and constrained infrastructure make scalable alternatives to conventional ward care especially urgent.

The conference also served as the launchpad for a pan-Asian research collaboration aimed at closing the persistent gap between what health research shows and what patients actually receive. The Hub for Implementation, Voices and Engagement (HIVE) initiative, jointly led by BISI and the School of Public Health of Zhejiang University, brought together implementation science researchers from across the region to set shared priorities for the next five to seven years. In total, 67 senior scientists across 15 Asian countries contributed expert views and identified 27 priority areas for accelerating the translation of evidence into practice. Among the top priorities were advocacy for implementation work with research funders, close working with communities, partnerships between researchers and policy makers, regional mentorship and training programmes, and sustainable financing for scaling successful health interventions. For the NUHS@Home team, the message of both the service data and the conference is the same: the evidence that hospital-level care can be delivered at home is no longer in doubt, and the frontier now lies in the disciplined, measurable work of helping proven models grow quickly, safely and affordably across diverse health systems.

Subject of Research: Implementation science-guided scale-up of a hospital-at-home service in Singapore

Article Title: NUHS@Home scales bed capacity 15-fold, saving 21,800 hospital bed-days

Article References: NUHS@Home scales bed capacity 15-fold, saving 21,800 hospital bed-days. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: hospital-at-home, NUHS@Home, implementation science, virtual beds, bed capacity, patient safety, readmission rates, NUS Medicine, BISHAC 2026, healthcare scaling, Mobile Inpatient Care, population health