Mobile App — Professional Care in the Patient’s Pocket
iOS, Android and HarmonyOS, purpose-built for pharma scenarios
Native and cross-platform builds for iOS, Android and HarmonyOS, tailored to pharmaceutical workflows.
- Timeline
- 8–16 weeks
- Deliverables
- 6 items
- Use cases
- 5 types
Why a Rebuild Is Necessary
Generic templates do not fit
Medication, follow-up visits and patient monitoring form a clinical loop that off-the-shelf templates cannot close.
Health data compliance is strict
Collecting, storing and transmitting health data must satisfy MLPS grading and China’s Data Security Law.
Store review and upkeep are demanding
Health apps face strict store review and fast iteration cycles, which need a specialist team.
What You Get
Full Platform Coverage
Native or cross-platform builds for iOS, Android and HarmonyOS, chosen to fit the case.
Pharma Scenario Modules
Proven modules for medication reminders, follow-up scheduling, patient management and a physician-side CRM.
Security and Compliance Base
MLPS compliance, encryption and least-privilege access keep health data controlled end to end.
Store Launch and Ongoing Ops
Store submission guidance, release management and data operations.
App Technical Foundation
Built on three pillars — compliant, clinically credible, operable — for a mobile asset that keeps evolving.
Native or Cross-platform Engine
Flutter, React Native or fully native, selected on the performance-versus-cost trade-off.
Medical Compliance Framework
Compliant data collection, privacy policy and least-privilege permissions built in.
Data Platform Integration
Connected to CRM and private-domain systems so user data accrues as an asset.
Push and Outreach
Smart medication reminders and precisely timed follow-up prompts.
Instrumentation and Analytics
Behavioural data flows back to drive product iteration.
Security and MLPS
Transport encryption, storage isolation and audit logging.
What Lands in Your Hands
- Requirements diagnosis and prototype
- UI/UX design delivery
- Dual or multi-platform development
- MLPS compliance plan
- App store submission
- Operations and release iteration
Where It Fits
Typical timeline: 8–16 weeks, including post-launch GEO operations.
Let’s Talk About Your Case
Tell us where you are and where you want to go. We start with a straight diagnostic — including whether this module is the right thing for you right now.
Frequently Asked Questions
How does GEO differ from traditional SEO?
SEO optimizes ranking within a list of links; GEO optimizes citation rate within a generated answer. SEO competes for position; GEO competes for presence. When users read one synthesized conclusion instead of scanning ten blue links, an uncited brand effectively does not exist.
Which AI engines does Nine Health's GEO service cover?
Ten leading generative engines: ChatGPT, DeepSeek, Doubao, Kimi, Ernie Bot, Qwen, Tencent Yuanbao, Zhipu, Perplexity and Claude, each monitored separately for brand keyword answers and recommendation placement.
How long before GEO results appear?
Timelines depend on each engine's knowledge update mechanism. Engines with live retrieval typically reflect newly indexed content within days; engines relying on training corpora take longer. Nine Health uses AIO monitoring to track answer changes continuously.
Are there compliance risks for GEO in pharmaceuticals?
Yes, and they must be handled upfront. Pharmaceutical content in China is governed by the Advertising Law and internet advertising regulations, which prohibit efficacy guarantees and absolute claims. Nine Health embeds a compliance review stage staffed by team members with pharmaceutical backgrounds.
How is GEO effectiveness measured?
Through three engine-level metrics — citation rate, recommendation position and answer accuracy — tracked continuously per brand keyword and reported as change over time, rather than raw traffic.