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Developing Smart Healthcare Applications Based on HarmonyOS Next

Developing Smart Healthcare Applications Based on HarmonyOS Next

I. Introduction: HarmonyOS Empowers Smart Healthcare

With the release of HarmonyOS Next, its distributed capabilities and SoftBus technology bring new possibilities for medical application development. This tutorial will use AppGallery Connect cloud services and ArkTS language to develop a smart healthcare application featuring health data management, online consultations, and medication reminders. Through a complete case study, we demonstrate how to build secure and reliable medical-grade applications efficiently.

II. Environment Setup and Project Initialization

Development Environment Requirements:

  • DevEco Studio 4.1 Beta1
  • HarmonyOS SDK 5.0
  • AppGallery Connect Account

Project Initialization Steps:

  1. Create a project in the AppGallery Connect console, enabling Auth Service and Cloud DB
  2. Create an Empty Ability project in DevEco Studio
  3. Configure the agconnect-services.json file
  4. Add dependencies in build.gradle: 
dependencies {
  implementation 'io.agconnect.agconnect-core-harmony:1.6.0.300'
  implementation 'io.agconnect.agconnect-auth-harmony:1.6.0.300'
  implementation 'io.agconnect.agconnect-clouddb-harmony:1.6.0.300'
}
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III. Core Function Implementation

1. Secure Login and Authentication

Scenario: Dual-mode login for doctors/patients

// Auth Module AuthService.ets
import agconnect from '@hw-agconnect/api-harmony';
import '@hw-agconnect/auth-harmony';

export class AuthService {
  // Phone number quick login
  async quickLogin(phone: string, code: string): Promise<void> {
    try {
      const credential = agconnect.auth.PhoneAuthProvider.credentialWithVerifyCode(
        phone, 
        code
      );
      await agconnect.auth().signIn(credential);
      console.log("Login successful");
    } catch (err) {
      console.error("Login failed: " + err.message);
    }
  }

  // Role switching (doctor/patient)
  switchRole(role: 'doctor' | 'patient'): void {
    const user = agconnect.auth().currentUser;
    if (user) {
      user.updateProfile({
        customClaims: { role } // Store role information
      });
    }
  }
}
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2. Health Data Management

Scenario: Syncing smartwatch heart rate data

// Health Module HealthManager.ets
import cloud from '@hw-agconnect/clouddb-harmony';

export class HealthManager {
  private cloudDB = cloud.CloudDBZone({ zoneName: "HealthZone" });

  // Store heart rate data
  async saveHeartRate(rate: number): Promise<void> {
    const HeartRate = cloud.object({
      objectType: 'HeartRateData',
      fields: {
        value: cloud.Number(rate),
        timestamp: cloud.Date(new Date())
      }
    });

    await this.cloudDB.upsert(HeartRate);
  }

  // Query last 24-hour data
  async getDailyReports(): Promise<Array<any>> {
    const query = cloud.query(HeartRateData)
      .greaterThan("timestamp", new Date(Date.now() - 86400000))
      .orderByDesc("timestamp");

    return await this.cloudDB.executeQuery(query);
  }
}
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3. Online Consultation

Scenario: Real-time doctor-patient communication

// Consultation Module ConsultationService.ets
import { emitter } from '@ohos.events.emitter';

export class ConsultationService {
  // Create consultation session
  async createSession(doctorId: string): Promise<string> {
    const session = {
      patientId: agconnect.auth().currentUser.uid,
      doctorId,
      status: "active"
    };
    const res = await cloud.database().collection("sessions").add(session);
    return res.id; // Return session ID
  }

  // Real-time message listening
  setupMessageListener(sessionId: string): void {
    cloud.database().collection("messages")
      .where("sessionId", "==", sessionId)
      .onSnapshot(snapshot => {
        snapshot.docChanges.forEach(change => {
          if (change.type === 'add') {
            emitter.emit("new_message", change.doc.data());
          }
        });
      });
  }
}
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4. Medication Reminders

Scenario: Cross-device distributed reminders

// Reminder Module ReminderManager.ets
import reminderAgent from '@ohos.reminderAgent';

export class ReminderManager {
  // Create distributed reminder
  async createDistributedReminder(medication: {
    name: string,
    dosage: string,
    time: Date
  }): Promise<void> {
    const reminder: reminderAgent.ReminderRequest = {
      reminderType: reminderAgent.ReminderType.TIMER,
      actionButton: [{ title: "Taken" }],
      ringDuration: 60,
      snoozeTimes: 3,
      timeInterval: 5 * 60 * 1000,
      distributed: true, // Key parameter: enable distribution
      notificationTitle: "Medication Reminder",
      notificationContent: `${medication.name} ${medication.dosage}`
    };

    await reminderAgent.publishReminder(reminder);
  }
}
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IV. Key Technology Analysis

1. Device Collaboration via SoftBus 

graph LR
A[Smartwatch] -->|Heart rate data| B(Phone)
B -->|Encrypted transmission| C[Consultation Tablet]
C -->|Prescription data| D[Home Medicine Cabinet]
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2. Cloud Data Security Strategies

  • Field-level encryption: Automatic health data encryption
  • Dynamic data masking: Sensitive fields hidden during doctor access
  • Operation auditing: Full traceability of data access

3. Cross-Device UI Consistency

Using @ohos.arkui.advanced component library:

// Unified consultation card component
@Component
struct ConsultationCard {
  @Prop sessionInfo: Session

  build() {
    Column() {
      MedicalHeader({ title: sessionInfo.doctorName })
      MedicalDataChart({ data: sessionInfo.vitalSigns })
      ActionButtons({ 
        buttons: ['Send Report', 'End Consultation'] 
      })
    }
    .medicalCardStyle() // Apply predefined medical style
  }
}
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V. Performance Optimization Practices

1. Rendering Optimization Techniques 

// Optimizing long lists with LazyForEach
LazyForEach(this.medicationList, (item: Medication) => {
  MedicationItem({ data: item })
}, (item) => item.id.toString())
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2. Memory Management Strategies

  • Paginated loading of health data
  • Message session object pooling
  • Dynamic unloading of bitmap resources

3. Power Consumption Control 

// Enable sensors on demand
sensor.on(sensor.SensorType.HEART_RATE, (data) => {
  if (this.needMonitoring) {
    this.processHeartRate(data.value);
  }
});
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VI. Project Deployment and Release

1. Cloud-Side Configuration Process

  1. Enable "Medical Compliance Certification" in AGC console
  2. Configure patient data retention policy (default 30 days)
  3. Deploy automated backup tasks to cloud functions

2. Security Hardening Operations 

# Generate application certificate
java -jar hap-sign-tool.jar generate-key -alias "med_key" -alg RSA
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3. Release Considerations

  • Provide HIPAA compliance documentation
  • Pass medical data encryption certification
  • Submit privacy agreement text

VII. Extended Scenario Exploration

  1. AI Triage Assistant: Integrate HMS Core ML Kit symptom analysis
  2. Emergency Response System: Combine with location-based emergency dispatch
  3. Medication Recognition: OCR functionality for medicine box scanning

Conclusion

This tutorial demonstrates how to build secure and efficient smart healthcare solutions using HarmonyOS Next and AppGallery Connect through a comprehensive medical application case study. The distributed architecture and efficient ArkTS development model provide robust technical support for the healthcare domain. As the HarmonyOS ecosystem matures, developers can further explore innovative scenarios like remote diagnosis and medical IoT.

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