The Global Lens - Healthcare Spent Billions Digitizing Work. It Forgot to Redesign It.
Healthcare organizations around the world have invested billions in electronic health records, telemedicine, digital scheduling, remote monitoring and artificial intelligence.
The Global Lens - Healthcare Spent Billions Digitizing Work. It Forgot to Redesign It.
By Shreya, a Zicklin finance student tracking healthcare market structure, healthcare investment in Nepal, and global investment patterns.
Healthcare organizations around the world have invested billions in electronic health records, telemedicine, digital scheduling, remote monitoring and artificial intelligence. Yet one of the biggest challenges facing healthcare investors and operators remains unresolved: technology investment does not automatically translate into productivity.
Over roughly two decades, labor productivity in U.S. clinical care declined by about 1%. During the same period, productivity across the broader services economy increased by more than 55%, according to a recent McKinsey analysis of U.S. Bureau of Economic Analysis data.
The contrast is striking.
Healthcare was hardly standing still during those years. Hospitals were adopting electronic health records, telemedicine platforms, remote monitoring systems, digital scheduling tools and, more recently, AI-powered solutions.
Technology became more capable and more embedded in healthcare delivery, but the productivity improvements seen across much of the services economy did not follow.
For investors evaluating a healthcare investment company in Nepal, a hospital project, a digital health platform or a broader healthcare business opportunity, this raises an important question.
The issue may not be whether healthcare has enough technology.
The more important question is whether healthcare organizations have redesigned the way people work so that technology can actually create economic value.
Digital Transformation in Healthcare Requires More Than Technology
The U.S. rollout of electronic health records provides one of the clearest examples.
Through the HITECH era, the U.S. federal government committed more than $36 billion to encourage hospitals and physicians to adopt and meaningfully use electronic health records.
The ambition extended far beyond replacing paper charts with computer screens.
Digitization was expected to improve the movement of healthcare information, strengthen coordination and ultimately make healthcare delivery more efficient.
Yet digitization did not eliminate the administrative burden surrounding clinical documentation.
A 2016 time-and-motion study published in Annals of Internal Medicine observed 57 physicians across four specialties and found that physicians spent approximately 27% of their workday in direct clinical time with patients and 49.2% on electronic health record and desk work.
For every hour spent directly with patients, physicians spent nearly two additional hours on EHR and desk-related activities during the office day.
This illustrates an important lesson for healthcare technology investment: digitizing an inefficient workflow does not necessarily make the workflow efficient.
Sometimes it simply converts an inefficient manual process into an inefficient digital one.
What Hospital Digital Transformation Looks Like in Nepal
That distinction became much more tangible to me while observing digital transformation at Silverline Hospital in Nepal.
When the hospital moved onto a centralized electronic medical record system, I initially thought the difficult part would be migrating the data.
The migration was complicated, but eventually it ended.
Adoption was harder.
People who had documented and delivered care in one way for years did not suddenly change their working habits simply because new software had gone live.
Some staff continued using paper alongside the new digital system.
Others entered information retrospectively rather than during the patient interaction.
Workarounds began appearing because the formal process had changed faster than the habits and workflows underneath it.
The technology had been implemented, but the organization was still learning how to work through it.
That experience has important implications for organizations considering hospital investment in Nepal, digital health investment in Nepal, or partnerships with a healthcare investment company in Nepal.
The success of a digital health investment depends not only on the quality of the software. It depends on whether roles, workflows, incentives, training and management systems evolve alongside the technology.
The problem at Silverline was not fundamentally about one EMR vendor.
The technology had been installed, but the surrounding operating model still needed to catch up.
When I later saw McKinsey's national productivity data, it felt like a large-scale version of something I had already observed inside one hospital in Nepal.
What Global Healthcare Reform Can Teach Investors in Nepal
Healthcare systems outside Nepal are beginning to recognize that digital transformation cannot be separated from organizational redesign.
The reforms underway in England are particularly interesting.
The UK government's May 2026 Health Bill introduces two major objectives simultaneously: creating the legislative foundation for a Single Patient Record and abolishing NHS England in an effort to reduce layers of national administration.
Rather than asking digital infrastructure to compensate for organizational complexity, the reform treats the operating structure itself as something that may need to change.
Whether that restructuring improves productivity remains an open question. Large organizational transformations can generate significant costs and disruption.
However, the reform is important because it does not treat digitization as a standalone solution.
For investors assessing healthcare business opportunities in Nepal, the lesson is relevant.
Technology investments should be evaluated alongside organizational design, clinical workflows, management processes and the underlying economics of healthcare delivery.
Healthcare Investors Are Increasingly Pricing Labor Economics
Capital flows into healthcare technology also suggest that investors are looking beyond software adoption itself.
PwC reported that eHealth represented 61% of disclosed healthcare services deal value during the first quarter of 2026, even though the number of deals in the category declined by 29%.
A smaller number of transactions therefore accounted for a disproportionately large share of disclosed investment capital.
What makes these investments particularly interesting is the changing economic argument behind healthcare technology companies.
The strongest investment cases are increasingly about what technology does to the cost structure and productive capacity of the underlying healthcare business.
Assort Health provides one example.
The company raised $120 million in June 2026 at a $1.2 billion valuation after expanding its AI platform across scheduling, intake, referrals and other patient-access workflows.
Assort reports that customers using its platform have experienced a 115% increase in labor capacity alongside a 5% increase in appointment volume.
The investment argument is therefore not simply that AI has been deployed.
It is that technology may allow healthcare organizations to serve more patients, improve utilization and change how labor is allocated.
That is where the healthcare investment story becomes more compelling.
The value of AI is not in announcing that an organization has adopted artificial intelligence.
The economic value comes from demonstrating that AI changes the economics of healthcare delivery.
What a Healthcare Investment Company in Nepal Should Evaluate
For a healthcare investment company in Nepal, private equity investor, hospital operator or strategic investor, technology due diligence should therefore extend beyond product functionality.
Investors should examine how technology affects the operating model of the healthcare organization.
Important questions include:
- Can the technology reduce administrative workload?
- Can clinicians or administrative teams handle more patients without proportional increases in staffing?
- Does it shorten patient waiting time?
- Does it improve appointment utilization?
- Does it reduce duplication across departments?
- Can the organization clearly measure cost savings or revenue improvements?
- Have workflows actually changed after the technology was introduced?
- Are employees using the system as intended, or creating manual workarounds?
These questions are particularly relevant as interest grows in healthcare sector investment in Nepal, where private hospitals, diagnostic centers, pharmaceutical businesses, digital health platforms, insurance-related services and healthcare infrastructure all present different investment opportunities.
The potential opportunity is not limited to purchasing better technology.
It also lies in redesigning the healthcare businesses that use it.
The Hidden Investment Behind Healthcare Technology
Healthcare organizations usually budget clearly for software licenses, implementation contracts and hardware because those costs appear directly in a project budget.
What is harder to quantify is everything that must change around the technology for the investment to succeed.
A role may need to be redesigned.
A workflow crossing several departments may need to be rebuilt.
Employees may need time to learn a completely different process.
Managers may require new performance metrics to determine whether that process is actually producing better results.
In some cases, the incentives supporting the old workflow may also need to change.
These costs are less visible than a software contract, but they may determine whether the technology produces an acceptable return on investment.
For investors examining healthcare infrastructure investment in Nepal or digital transformation projects, this hidden layer of organizational investment deserves particular attention.
Healthcare AI Investment Has a Measurement Problem
Deloitte's 2026 survey of healthcare finance leaders highlights the gap between adopting artificial intelligence and measuring its economic impact.
The survey found that 44% of participating organizations qualified as AI “scalers,” meaning they had moved generative AI into broader deployment.
Among those organizations, however, only 18% reported mature financial attribution capabilities.
Deloitte defined mature attribution as consistently measuring AI's impact on revenue growth or cost savings against clear baselines with defined KPI ownership.
That gap should matter to healthcare investors.
If a health system can calculate the price of the software but cannot identify the workflow improvements, labor savings, capacity increases or revenue effects that are expected to generate the return, it becomes difficult to determine what the organization actually purchased.
The technology may work exactly as intended while the economic value remains uncertain because the surrounding operating model was never redesigned sufficiently to capture it.
Healthcare Investment in Nepal Needs an Operating-Model Mindset
This may be one of the most important considerations for the future of healthcare investment in Nepal.
Nepal's healthcare sector offers opportunities across hospitals, diagnostic services, digital health, medical technology, pharmaceuticals, healthcare infrastructure and specialized clinical services.
But healthcare investors should distinguish between technology adoption and true operational transformation.
Buying software is relatively straightforward.
Changing how an organization works is considerably harder.
A successful healthcare investment strategy therefore needs to consider three layers simultaneously:
Technology: What does the platform, infrastructure or system technically enable?
Operations: How must workflows, responsibilities and processes change to capture those benefits?
Economics: How will those changes affect revenue, labor productivity, capacity, cost or return on invested capital?
A technology investment that performs strongly across all three dimensions is significantly more valuable than one that simply adds another digital system to an already complicated organization.
The Next Opportunity for Healthcare Investment Companies
Healthcare has spent decades digitizing care.
The next phase of value creation may depend less on purchasing better technology and more on redesigning healthcare organizations around what that technology makes possible.
That distinction matters to hospital operators, digital health companies and any business investment company in Nepal exploring healthcare as a growth sector.
The most attractive opportunities may not simply be companies selling healthcare technology.
They may be businesses capable of using technology to fundamentally improve labor productivity, patient capacity, service quality and the economics of healthcare delivery.
The software is the visible investment.
The organizational transformation surrounding it is harder to see.
But that may be where most of the return is ultimately created—or lost.
Sources
McKinsey & Company, “The real future of work in healthcare,” July 2, 2026. McKinsey's analysis provides the comparison between the roughly 1% decline in clinical-care labor productivity and the more than 55% increase across the broader U.S. services economy.
Sinsky et al., “Allocation of Physician Time in Ambulatory Practice,” Annals of Internal Medicine, 2016. The study observed physician time allocation across four specialties and documented the relationship between direct patient care and EHR and desk work.
U.S. federal HITECH and EHR incentive program materials. Federal sources and historical reviews place the government's investment in encouraging EHR adoption at more than $36 billion.
UK Department of Health and Social Care, Health Bill materials, May 2026. The legislation combines plans to abolish NHS England with provisions enabling a Single Patient Record.
PwC, “Health services: US Deals 2026 midyear outlook.” PwC reports that eHealth captured 61% of disclosed deal value in Q1 2026 while deal count declined 29%.
Assort Health, Series C announcement, June 2026. Assort announced a $120 million Series C at a $1.2 billion valuation and reports a 115% increase in labor capacity among customer outcomes.
Deloitte Center for Health Solutions, 2026 Healthcare CFO Survey. Deloitte found that only 18% of surveyed AI scalers consistently measure AI's financial impact using mature attribution practices.
The Global Lens is a series examining comparative healthcare strategy, healthcare investment, market structure and emerging business opportunities in Nepal and global markets.