Why Care Hero?

The impossible ask of healthcare professionals — and how AI can help.

The Problem

How do you see 100 patients a day yet maintain patient care quality?

Primary care workload pressures are not unique to any one country — they are a global phenomenon. Systematic reviews across 67 countries show that in many health systems, average primary care consultations are very short — often 5 minutes or less, and this has been linked with increased stress, workload challenges, and reduced ability to deliver comprehensive care. Short consults are documented in countries ranging from low-, middle-, and high-income settings. Source

At the same time, healthcare workforce shortages are recognised worldwide. The World Health Organization estimates a shortfall of millions of health workers, including physicians, which contributes to higher patient loads for existing clinicians and compressed time per patient. This global gap is projected to persist through the next decade, putting further strain on primary care delivery. Source

In Singapore’s primary care system, doctors face similar high demands. In public polyclinics, clinicians manage around 58 consultations per day on average, and during peak periods are reported to see up to 100 patients within a standard clinic schedule — highlighting that high patient volume is a real and common experience for many physicians. Source

High-volume medicine pushes the human brain past its safe cognitive limits. Doctors must remember history, check drugs, recognize patterns, and make risk decisions repeatedly without pause. As fatigue builds, attention drops, shortcuts increase, and subtle warning signs are easier to miss. The challenge isn’t effort — it’s biology under load.

At the same time, documentation quality degrades. Notes become rushed summaries instead of clinical narratives. Reasoning, disease progression, and safety advice get lost. When the patient returns — or sees another doctor — care continuity breaks because the system has lost the story of what happened and why.

Consults shrink to five minutes, forcing doctors to address only today’s complaint. There’s no time to scan long-term trends, update prevention plans, or explore lifestyle risks. Care becomes reactive and episodic, not proactive and preventive.

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Cognitive overload leads to preventable medical mistakes

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Poor notes break continuity across visits and doctors

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Short consults force reactive, not preventive care

The Solution

The Promise of AI in High-Volume Care

AI acts as a safety layer that protects decision quality under volume. It continuously checks medications, surfaces relevant history, flags red-flag symptoms, and recalls guidelines instantly. This reduces memory strain so doctors can focus on clinical judgment and patient interaction.

AI also turns conversations into structured, reliable documentation. It organizes SOAP notes, captures reasoning, updates problem lists, and builds a clear patient history over time. Future visits start with context, and new doctors can quickly understand what has already been done.

By reducing typing and admin work — while monitoring patient trends in the background — AI enables proactive care. It highlights rising risks, overdue screenings, and chronic disease patterns, turning visits into opportunities to prevent future illness, not just treat today’s symptoms.

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AI stabilizes decision quality under heavy workload

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AI preserves clinical memory across time and providers

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AI enables proactive, risk-based patient care

Existing Solutions

Why Today’s Tools Don’t Fully Solve the Problem

Clinic systems and EHRs store data but do not reduce mental load. Doctors still search, recall, interpret, and document manually. These systems organize information but don’t help process it, leaving cognition and preventive care gaps untouched.

AI chatbots provide medical answers but lack patient context and workflow integration. Doctors must leave their task, ask questions, interpret responses, and return to work. This adds context switching rather than reducing workload or supporting care across visits.

Audio scribes reduce typing by generating notes from conversations. However, they focus only on documentation. They do not analyze trends, connect past records, monitor risk patterns, or support proactive decision-making.

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EHRs store data but don’t reduce cognitive load

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Chatbots answer questions but lack patient context

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Scribes cut typing, not clinical reasoning burden

Why CareHero

AI Designed Around How Doctors Actually Work

Most systems are built around billing, storage, or generic AI. CareHero is built around the doctor’s daily experience. The workspace is designed for thinking: larger writing areas, clear document viewing, and AI tools placed where clinical decisions happen — not buried in menus. Less clicking, less screen switching, less admin friction.

We don’t replace your clinic system — we connect to it. Patient records from your CMS or EHR stay where they belong, while CareHero brings them together with notes, labs, scans, PDFs, and images in one focused workspace. Doctors see the full picture without jumping between systems.

We also handle the complexity of modern AI for you. Instead of raw chat boxes or technical setup, you get structured clinical tools powered by the latest AI models — fast for simple needs, deeper when cases are complex — all designed to fit naturally into real consultations.

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Built around doctor workflow, not admin systems

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Brings all patient data into one workspace

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Modern AI made practical for daily clinical use

Get back your ❤️ for patient care

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