Traditional weight loss methods such as calorie counting, rigid diet plans, and infrequent check-ins with human coaches often struggle to maintain long-term user adherence. But recent developments in AI are beginning to change that. Singapore-based Welling AI, an emerging app in the digital health space, is part of a new wave of technology that prioritises accessibility, personalisation, and behavioural sustainability.

Welling AI was co-founded by Philip Man and Irwin Billing. Man is a seasoned entrepreneur with a background in the food industry, SaaS, and operations. Motivated by personal experiences with his family’s health history and his own encounter with a nutrition coach, Man set out to reimagine how people approach weight loss.

The result: an AI-powered assistant that simplifies diet tracking while offering real-time, interactive coaching.

Rather than rely on manual calorie logs, Welling AI users can record meals through voice, text, or photos. The platform uses AI to analyse food choices and provide tailored feedback, replacing tedious tracking with a conversational interface. This shift makes healthy eating more manageable, particularly for time-pressed demographics such as working professionals and parents.

According to Man, the health and wellness industry in 2025 is increasingly focused on long-term outcomes. “We are seeing users at Welling tracking their diet not just to lose a few kilograms before summer, but for healthy ageing and longevity,” he explains.

This mirrors broader trends, including a surge in the use of wearables, biometric tests, and wellness platforms aimed at understanding personal health.

Also Read: The future of fintech, healthtech, and edutech industries in the context of the new economy

Welling AI capitalises on this shift by positioning itself not just as a tracker but as a coach. The app checks in with users, offers encouragement, and adapts guidance based on evolving habits. This creates a layer of accountability typically absent in conventional diet apps.

Man adds, “It establishes a connection, just like a trainer would. That relationship is what keeps users going.”

One of the unique advantages of AI-powered health coaching lies in its availability and emotional neutrality. Traditional human coaching often comes with barriers, such as limited availability or the discomfort of admitting dietary missteps. “With AI, people feel less judged,” says Man. “They’re more honest, which is key to real progress.”

Moreover, Welling AI remembers user preferences and dietary history, leveraging data at scale to offer consistent, personalised advice. This capacity to learn and evolve mirrors that of human trainers but without the constraints of time, fatigue, or memory limits.

While many digital wellness tools have emerged globally, Welling AI targets a critical gap: the underrepresentation of Asian dietary habits in Western-centric platforms.

“Obesity rates are rising in Asia, but the existing tools do not reflect how people eat here,” Man notes. Shared meals, complex dishes, and regional ingredients often confound traditional calorie trackers.

Welling AI addresses this through region-specific datasets and culturally aware design, enhancing both accuracy and relevance. This localisation, combined with endorsements from professionals such as nutritionists and dietitians, has fuelled organic user growth across Singapore and Malaysia.

From tracking to intelligent guidance

Looking forward, Man believes the next frontier lies in predictive, proactive AI support. While current tracking tools summarise past behaviours, future systems will focus on anticipating and planning for upcoming challenges.

“Got a business dinner? The assistant will suggest a lighter lunch. It’s about helping people in real life, in real time,” he explains.

As global projections estimate that half the world will be overweight by 2035, tools like Welling AI may become indispensable for public health. By making health tracking less burdensome and more intuitive, AI has the potential to change how individuals—and eventually healthcare systems—approach preventative wellness.

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Image Credit: Welling AI

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AI startups are raising at valuations reminiscent of the dot-com boom, as investors chase the scent of exponential growth opportunities arising from the application of a transformative technology.  However, the AI hype is overshadowing another transformative boom, which also presents a high-growth opportunity, but is not yet fundraising at a premium.

As people live for longer, the global population continues to rise. In 2024, over 10 per cent of the global population was aged over 65, which represents 830 million people. In addition to this, almost 20 per cent of the population of Europe and North America were aged over 65 in 2024.

By 2050, it is estimated that one in four Europeans and North Americans will be aged over 65.  Added to the ageing populations of Asia and Latin America, it is estimated that up to 1.6 billion people could be aged over 65 by 2050 – outnumbering children under five by two-to-one as life expectancy climbs and global fertility rates continue to fall.

An US$8 trillion opportunity

In March 2025, UBS reported that this demographic change toward an older global population is creating new opportunities that could be worth US$8 trillion within this decade. Living longer has also come with a new focus for many on wanting to live ‘well’, with a hard focus on extending the ‘human healthspan’ – the period of life that is lived in good health.

One of the primary beneficiaries of the US$8 trillion opportunity will be consumer industries focused on fitness, holistic wellness, nutrition and longevity. The hospitality sector will also be a major beneficiary as a rapidly growing cohort of over 65s turn their immense spending power toward leisure activities, travel and tourism.

The spending power of this growing cohort is already substantial.  In the USA, people aged over 70 represent 13 per cent of the population but control 31 per cent of the national wealth. The ‘silver tsunami’ is the fastest-growing consumer group, representing the highest share of all spending.

A boom in the silver dollar

Alternative medicines and holistic wellness will form a growing part of spending amongst over 65’s.  Rising demand for holistic, preventative health solutions is being driven by growing scepticism toward the pharmaceutical industry and increasing awareness of the benefits of preventing illness before medical treatment is needed.

Also Read: The future of fintech, healthtech, and edutech industries in the context of the new economy

Fitness solutions and services are also projected to boom as awareness of the importance of regular exercise to increase healthspan grows.  Whilst 18–34-year-olds continue to hold 30.9 per cent of gym memberships, memberships held by people aged 55 and over are the fastest-growing group, and studies show that today it is the Baby Boomers who visit the gym the most.

UBS also predicts that the hotel industry attributable to the over-65s will grow from US$259 billion in 2023 to US$412 billion by 2030. The over-65 cohort has a higher propensity to spend than younger generations, and they spend more whilst travelling, which also implies growing margins for hoteliers who focus on over-65s and provide a suite of wellness-focused offerings.

Healthspan as a service

Inevitably, AI is set to play a central role in the future of longevity. Its ability to detect diseases at an early stage and support personalised treatment options is already improving health outcomes, while accelerating drug discovery and life-extending medical innovations.

Perhaps more interesting is the likely emergence of solutions that intersect both longevity and AI to help users improve and extend their healthspan.  A growing body of research highlights the importance of nutrition in regulating ageing processes and the development of age-related diseases, with further studies emphasising exercise.

Also Read: This startup wants to bridge the ‘missing link’ in Indonesian health tech scene

Given the importance of behaviour changes in favour of healthy eating, exercise and general wellness, it is easy to envisage AI playing a major part in powering ‘healthspan as a service’ solutions. One where every over-65 has AI-powered applications on their smartphone to monitor their vitals and to provide ‘live’ personalised nutrition advice.

Going long on longevity

Some analysts caution that AI investment is being driven more by hype than fundamentals, with startups often valued at over 23x revenue, despite high capital requirements, uncertain commercial viability, and the fact that the true value of AI has yet to be realised.

In contrast, longevity is rooted in clear, measurable fundamentals. Backed by growing consumer demand for solutions to help live longer, healthier lives, the wellness sector is attracting serious attention from venture capital and sovereign wealth funds – positioning it as a credible source of the next generation of unicorns.

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In today’s evolving healthcare landscape, digital transformation continues to redefine how hospitals and clinics improve operational efficiency and deliver high-quality patient care.

While the conversation around Electronic Medical Records (EMR) and Electronic Medication Administration Records (eMAR) systems is not new, the urgency to adopt them has been reignited by recent pressures on healthcare infrastructure, talent shortages, and the global push toward value-based care. These technologies not only streamline clinical and administrative workflows but also offer significant economic benefits, ranging from cost reductions to increased revenue opportunities.

This article revisits eMAR and EMR adoption through a current lens, focusing on how these systems deliver quantifiable economic returns and remain essential in building future-ready healthcare organisations.

Understanding eMAR and EMR systems

The Electronic Medication Administration Record (eMAR) is a specialised digital solution that replaces traditional paper-based medication documentation with an automated system designed to track medication orders, administration schedules, and patient medication histories.

It enhances communication between nurses and pharmacists by integrating with pharmacy databases, barcode scanning systems, and clinical workflows. This integration reduces human error, increases accuracy in medication delivery, and ensures that patients receive the right medication at the right time.

The Electronic Medical Record (EMR), on the other hand, serves as a digital version of a patient’s paper chart. It houses comprehensive medical and treatment histories, enabling healthcare providers to access real-time data such as diagnoses, prescribed medications, lab results, imaging studies, immunisation records, and allergies.

EMRs also support better clinical decisions by centralising patient information, facilitating data sharing within an organisation, and enabling coordination across departments. According to AgileTech, EMR systems support interoperability and can be linked with laboratory systems, radiology platforms, and billing solutions to create a seamless flow of information throughout the care continuum.

Direct economic benefits

• Reduced administrative costs

Healthcare facilities implementing eMAR and EMR systems typically experience a significant reduction in administrative overhead. By eliminating paper-based processes, organisations can decrease expenditures on physical storage space and materials by up to 80 per cent and reduce administrative staff requirements for filing and retrieving records.

These systems also minimise costs associated with transcription errors and duplicate testing and lower expenses related to chart creation, maintenance, and transportation. According to the Agency for Healthcare Research and Quality (AHRQ), the adoption of electronic systems leads to measurable cost savings by reducing administrative waste and inefficiencies.

Also Read: Decoding digital preferences: A glimpse into the future of health tech ecosystem in SEA

A medium-sized healthcare facility can save approximately US$120,000-US$200,000 annually in administrative costs alone after full implementation of these systems. This aligns with broader digital transformation trends in healthcare that prioritise operational efficiency.

• Improved workflow efficiency

Digital health record systems dramatically enhance operational efficiency. Automated documentation reduces time spent on paperwork by 25-50 per cent, while streamlined medication workflows save nurses 1.5-2 hours per shift.

Real-time access to patient information reduces wait times and improves throughput. According to a study published in the Journal of the American Medical Informatics Association (JAMIA), the implementation of EMRs improves documentation speed and clinical decision-making, leading to measurable productivity gains.

These efficiency gains translate to direct labor cost savings estimated at US$42,000-US$85,000 per year for a typical primary care practice.

• Enhanced revenue cycle management

EMR and eMAR systems positively impact a healthcare organisation’s revenue cycle by reducing claim denials by up to 30 per cent through improved documentation accuracy and accelerating payment processing by an average of 7-10 days. According to McKinsey & Company, well-implemented EMR systems lead to significant financial returns through faster billing and improved revenue capture.

Additionally, these systems help capture previously missed billable services through automated coding suggestions and decrease accounts receivable days by 15-30 per cent. For a mid-sized hospital, these improvements can generate additional annual revenue of US$2.1-US$3.7 million.

Indirect economic benefits

Beyond direct savings, eMAR and EMR systems yield significant indirect economic benefits, especially in patient safety and risk management. Medication errors represent one of the most costly and dangerous challenges in clinical care. eMAR systems help reduce adverse drug events by 40 to 80 percent and medication administration errors by up to 87 per cent, thanks to barcode verification and automated alerts that notify staff of potential discrepancies.

These reductions not only improve patient outcomes but also decrease the need for costly interventions resulting from complications, thereby saving hospitals between US$1.4 million and US$2.8 million annually. Additionally, the improved safety profile can lower liability exposure and malpractice insurance premiums, creating further financial relief for healthcare institutions.

Also Read: What telemedicine and Health Tech holds across SEA amidst COVID-19

EMR systems also contribute to improved clinical outcomes that translate into measurable financial gains. Enhanced documentation and access to patient data enable more informed decision-making, leading to a 5 to 15 percent reduction in hospital readmission rates and a decrease in the average length of stay by 0.5 to 1.2 days.

Improved adherence to infection control protocols, driven by automated reminders and system alerts, reduces hospital-acquired infections. In chronic care management, EMRs facilitate better monitoring of patients with conditions like diabetes and hypertension, preventing costly acute episodes. On average, these outcome improvements can lead to savings of US$1,000 to US$3,000 per patient admission.

From a regulatory perspective, digital health systems offer considerable advantages in maintaining compliance with healthcare laws and standards. eMAR and EMR systems streamline the preparation and execution of audits by automating documentation, tracking required procedures, and maintaining up-to-date patient records.

This automation reduces audit preparation time by 30 to 50 percent and significantly lowers the risk of penalties resulting from documentation errors or incomplete records. Moreover, healthcare facilities report saving 300 to 600 hours of staff time annually on compliance-related tasks, further emphasising the long-term return on investment.

ROI timeline and strategic considerations

While the economic advantages are clear, healthcare providers must consider the investment timeline. Implementation costs for eMAR and EMR systems typically range from US$15,000 to US$70,000 per provider, depending on the scale and complexity of the deployment.

However, most organisations report achieving a positive return on investment within 24 to 36 months. Cloud-based solutions often provide faster ROI due to reduced infrastructure costs and easier scalability. Furthermore, healthcare providers that prioritise staff training and change management during the adoption phase tend to realise returns up to 40 percent faster than those that neglect these components.

Also Read: How immersive tech can boost your health and happiness

A well-executed implementation strategy significantly accelerates the time-to-value and ensures long-term sustainability.

Implementation best practices for long-term economic value

To fully capitalise on the economic benefits of eMAR and EMR systems, healthcare organisations should approach implementation with a structured strategy. Conducting a comprehensive workflow analysis before deployment helps identify inefficiencies and design optimised processes.

Integration with existing platforms such as laboratory, radiology, and billing systems is essential to avoid data silos and ensure seamless information flow. Investment in training programs ensures that staff understand and adopt the systems effectively, which is crucial for long-term success.

Phased rollouts help manage costs and reduce operational disruption. Collaborating with healthcare software development partners with domain-specific expertise also improves implementation outcomes. Tracking performance metrics post-deployment enables organisations to measure financial and clinical impact and make continuous improvements.

Following healthcare interoperability standards ensures that systems can scale and adapt in line with future requirements.

Conclusion

The economic benefits of implementing eMAR and EMR systems extend well beyond efficiency gains. These technologies deliver comprehensive financial advantages through reduced administrative costs, streamlined workflows, improved billing, enhanced patient safety, better clinical outcomes, and regulatory compliance.

As healthcare organisations continue to transition toward value-based care, the case for digital health record systems becomes increasingly compelling. Rather than viewing EMR and eMAR adoption as an IT expense, forward-thinking healthcare providers recognise these platforms as strategic investments that enhance care quality and organisational sustainability.

With evolving challenges such as aging populations, healthcare worker burnout, and the integration of AI-driven diagnostics, EMRs and eMARs are no longer optional. They are essential tools in building the healthcare systems of tomorrow.

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Digital tools are everywhere, yet many doctors still feel invisible. It’s time we paid attention.

“Sometimes the doctor even forgets I’m from a pharmaceutical company.”

A Malaysian sales representative shared this during a recent conversation. She was talking about her routine visits to smaller clinics just outside Klang Valley, where outreach is minimal, support is inconsistent, and product education is often delayed.

That one sentence stuck with me. It quietly revealed a reality many overlook: In our rush to scale digital outreach, we’re often sacrificing meaningful engagement.

The overlooked majority

Pharma sales strategies tend to focus on major urban clinics—large hospitals and high-prescribing GPs in Klang Valley or Penang.

But beyond these are thousands of independent doctors in places like Ipoh, Seremban, Batu Pahat, and Kota Bharu. They serve diverse patients and play a central role in primary care—but receive little to no tailored support from pharma reps or digital programs.

They are not unwilling—they are underserved.

They are also increasingly overwhelmed. With lean clinic teams, growing patient loads, and limited exposure to updated product information, these doctors often rely on relationships and trusted reps for nuanced insights. When those links weaken, so does the larger healthcare system around them.

The paradox of digital reach

Malaysia has one of the highest smartphone adoption rates in Southeast Asia. Most doctors use WhatsApp and social platforms daily. But being digitally connected doesn’t mean they’re effectively engaged.

More often than not, these doctors receive:

• A forwarded product brochure
• A generic email blast
• Or a rushed call about stock or quota

That’s not engagement—it’s noise.

Also Read: The silent crisis in pharma: Why underserved doctors are the key to unlocking market growth

And when communication is reduced to checklists and quotas, it creates fatigue, not familiarity. The very tools meant to bring reps and doctors closer are often widening the gap.

Why this matters now

As Malaysia shifts toward decentralised healthcare—especially with an aging population and increasing chronic diseases—frontline doctors will become even more critical.

If the industry continues to deprioritise them, we risk neglecting the very channels patients rely on most.

The so-called “long tail” of doctors aren’t peripheral—they’re essential.

A better approach

The key isn’t more tech. It’s more thoughtful tech.

Some simple shifts can go a long way:

• Deliver medical content in mobile-native formats
• Enable WhatsApp-based rep communication, not just CRM push alerts
• Design self-service tools that reflect doctors’ actual day-to-day needs
• Empower reps to move from sales talk to solution-driven conversations

We also need to stop thinking of digital engagement as a one-size-fits-all campaign. A single platform won’t work for every doctor—but a flexible framework, layered with empathy and feedback loops, just might.

Innovation doesn’t always mean building another app. Sometimes, it means rethinking the touchpoints we already have.

Final thoughts

The rep’s comment wasn’t a complaint. It was a quiet observation about a system that’s forgotten its users.

If we want to truly modernise pharma sales in Malaysia, we need to redefine what engagement means—starting not with dashboards, but with empathy.

Because often, the most valuable conversations are the ones we’re not having yet. Because at the end of the day, real transformation doesn’t come from tools. It comes from people choosing to listen better.

Often, the most valuable conversations are the ones we’re not having yet.

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At Nas Summit Singapore, during a panel moderated by Nuseir Yassin (Nas Daily), two debates emerged that reflect the broader tension founders everywhere are trying to navigate: Do people prefer talking to AI or to humans? And should founders openly reveal that they use AI at all?

Both questions sound philosophical on the surface, but they carry real implications for how businesses scale, build trust, and communicate in a world where AI is no longer a novelty — it’s infrastructure.

What I shared on that stage, and what I’ll expand on here, comes from operating two AI-driven companies, training more than a thousand founders, and integrating a personalised AI assistant into nearly every part of my daily workflow.

These debates aren’t separate. They’re deeply connected. And together, they point toward a new model of communication that prioritises outcomes, transparency, and empathy, even when delivered by AI.

People don’t prefer humans, they prefer problems solved

The first debate was framed as a choice: Do consumers want to talk to humans or AI?

On the surface, most people instinctively say “human”. But this response has less to do with emotional loyalty and more with the current state of AI systems.

When AI interactions fail, they fail because:

• The model wasn’t trained deeply.
• The system doesn’t retain context.
• Responses feel robotic.
• The intent is misunderstood.
• The conversation lacks nuance.

In contrast, a human can pick up emotional cues, adjust tone, and interpret complexity, even on a bad day.

But let’s zoom out.

We didn’t prefer ATMs over bank tellers — they were simply faster. We didn’t prefer chat to voice calls — it was simply more convenient. We didn’t prefer telemedicine to clinics — it was simply more accessible.

People didn’t switch from phone calls to WhatsApp because they wanted less human contact. They wanted speed, clarity, and convenience.

Across every wave of technological transition, human preference follows the same logic: Utility first. Emotion second.

So the real question isn’t “Will AI replace human communication?” It’s: “When AI becomes fast, context-aware, and natural — will people care if it’s human at all?”

Most people won’t, because they care far more about the outcome than the origin.

Also Read: Generative AI and inclusive branding: Are we there yet?

Empathy is not emotional, it’s functional

A common argument against AI communication is that “AI has no empathy.”

Correct. AI cannot feel empathy. But most empathy expressed in customer service, coaching, support, and instruction isn’t emotional. It’s cognitive empathy: Understanding a situation and responding in a supportive, solution-oriented way.

Humans bring warmth and emotional resonance, but they also bring:

• Fatigue.
• Frustration.
• Inconsistency.
• Ego.
• Miscommunication.
• Impatience.
• Emotional bias.

AI brings none of this.

When trained well, an AI agent:

• Remains consistent.
• Applies feedback instantly.
• Follows protocol reliably.
• Keeps full conversational history.
• Never misfires due to mood.

This doesn’t make AI “more human”. But it does make AI more stable.

And stability is a form of empathy — one that users increasingly appreciate in high-volume, high-stress communication contexts.

AI isn’t here to outperform human emotional intelligence. It’s here to perform cognitive empathy at a level of consistency humans cannot match.

Voice AI isn’t there yet, and that’s why humans still feel better

The one domain where humans still consistently outperform AI is voice.

Today’s voice models are improving fast, but still lag in:

• Emotional modulation.
• Breath patterns.
• Warmth.
• Pacing.
• Micro-pauses.
• Stress detection.
• Tonal nuance.

We underestimate how much of communication depends on sound, not words.

This is why talking to AI still feels unfamiliar. It’s not the intelligence. It’s the lack of emotional believability in the delivery.

But the gap is closing quickly, and when voice AI begins to feel natural — human enough, conversational enough, warm enough — people will prioritise the same thing they always have: “Did this solve my problem?”

And if the answer is yes, the interface won’t matter anymore.

The second debate: Should founders reveal they use AI?

The next question at the panel was far more personal: Should founders disclose that they use AI to reply to messages, create content, or manage their operations?

Some leaders still hesitate, fearing that disclosure implies:

• Lack of authenticity.
• Lack of authority.
• Lack of personal involvement.

But here’s the reality founders don’t say out loud: Nobody running a scalable organisation is manually writing every message, replying to every email, or producing every piece of content.

Also Read: Report: Asia Pacific, Japan drive the next wave of global AI innovation

Whether the delegation goes to:

• A marketing assistant.
• A content team.
• A virtual assistant.
• Or an AI agent.

It’s a delegation. And delegation is not deception. It’s an operational necessity. The only difference today is that AI makes the delegation visible. That visibility makes some people uncomfortable.

But choosing not to disclose doesn’t make a founder more authentic.
It makes them performative.

Authenticity isn’t manual labour; it’s ownership of ideas

I openly tell people I use Seraphina, my AI assistant, because she doesn’t write for me. She writes with me.

And she writes based on:

• 20 years of documented work.
• Thousands of pages of content.
• Speeches and workshops.
• Strategy decks.
• Training materials.
• Personal philosophy.
• Creative concepts.
• Lived experiences.

Seraphina isn’t producing ideas I’ve never had. She’s expressing the ones I already formed — more efficiently, more consistently, and with more clarity than I could during peak workload periods.

That’s not a loss of authenticity. That’s an amplification of it.

Transparency doesn’t reduce trust. It enhances it.

Especially in an era where consumers and teams can instantly tell when a founder is pretending to be everywhere at once.

The future isn’t AI or humans, it’s the balance between speed and humanity

When you combine both debates from the Nas Summit panel, a larger conclusion emerges:

• People care about speed, clarity, and outcomes.
• They care about trust, transparency, and leadership.
• And AI, when used well, supports all of these.

Also Read: Are Southeast Asia’s emerging economies resilient enough to resist trade uncertainty?

AI will not replace human connection. But it will increasingly handle the layers of communication that humans shouldn’t have to bear:

• Repetitive queries.
• Administrative responses.
• Predictable workflows.
• High-volume customer engagement.
• Operational messaging.

This frees humans to focus on:

• High-level thinking.
• Creativity.
• Strategy.
• Relationship-building.
• Empathy.
• Connection.
• Vision.

AI doesn’t diminish humanity. It creates space for it.

The founders who thrive in the next decade won’t be the ones who avoid AI, nor the ones who blindly automate everything.

It will be the leaders who strike the right balance: Human where it matters. AI where it scales. And transparency woven throughout.

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