Remote Patient Care App Development

Digital health companies and healthcare providers building remote patient care platforms need engineering teams who understand the specific architecture requirements of telehealth: real-time video session management, RPM device data pipelines, vital signs alerting, and the HIPAA-compliant data storage that regulators require. Scrums.com provides dedicated software engineering teams for remote patient care app development, deploying production-ready systems with RPM device integration pipelines, configurable clinical alert engines, telehealth session management, and the longitudinal patient data infrastructure that supports chronic disease management at scale.

Remote Patient Monitoring, Device Integration, and Vital Signs Data Architecture

The RPM device registry holds every connected device with its type (GLUCOMETER | BP_CUFF | PULSE_OXIMETER | WEIGHT_SCALE | CGM | WEARABLE | SPIROMETER), patient assignment, serial number, manufacturer, firmware version, and pairing status. Readings land in rpm_readings: device_id, patient_id, metric_type (BLOOD_GLUCOSE | SYSTOLIC_BP | DIASTOLIC_BP | SPO2 | HEART_RATE | WEIGHT | FEV1 | STEPS), value, unit, reading_timestamp, and transmission_timestamp. Idempotency is enforced via ON CONFLICT DO NOTHING on (device_id, metric_type, reading_timestamp): retransmissions over BLE or cellular are silently discarded, and TimescaleDB hypertables partition readings by time for fast trend queries. HealthKit and Google Fit adapters provide standardised ingress paths; BLE session logs (packets_received, packets_lost) support connectivity diagnostics without polluting the readings dataset. Alert thresholds are per-patient configuration in vital_sign_thresholds (patient_id, metric_type, low_alert, high_alert, critical_low, critical_high, suppression_window_minutes): a clinician adjusting a threshold writes a new config row and it takes effect at next evaluation without a deployment. Alert events follow a state machine: TRIGGERED / ACKNOWLEDGED / RESOLVED | AUTO_RESOLVED | ESCALATED; ESCALATED writes to escalation_events with the assigned clinician and escalation reason.

Telehealth Video Consultations, Session Management, and Clinical Workflow Integration

Telehealth sessions follow a state machine (SCHEDULED / WAITING_ROOM / IN_PROGRESS / COMPLETED | ABANDONED | TECHNICAL_FAILURE) with every transition appended to telehealth_session_events. Video infrastructure uses WebRTC with session tokens generated per session and never reused; session_quality_events record packet_loss, jitter, and resolution at configurable intervals during the call, providing a full technical audit trail for dispute resolution. The waiting room queue tracks join_timestamp and estimated_wait_minutes (computed from average_session_duration per provider) alongside a priority_score from the urgency flag set at booking. Clinical notes written during or after a telehealth session reference the session_id; notes are immutable once signed: amendments write new rows with an amends_note_id reference, preserving the full amendment history. Prescriptions issued from a telehealth session carry the session_id for traceability; controlled substance prescribing requires a patient_id_verification_events row within the same session before the prescription can be created. Session recordings reference retention_expires_at computed from retention_policy_config, and every recording retrieval appends a row to access_log with the HMAC integrity chain used across all PHI access.

Remote patient care apps like these are built and delivered by dedicated engineering teams through our mobile app development service.

Care Programme Management, Chronic Disease Workflows, and Patient Engagement

Care programmes are stored as configuration in care_programmes (programme_type: DIABETES | HYPERTENSION | COPD | CARDIAC | POST_SURGICAL | MENTAL_HEALTH, enrolment_criteria, monitoring_schedule as JSONB specifying required readings, frequency, and alert thresholds, target_metrics). Patient enrolments follow a state machine (ENROLLED / ACTIVE / ON_HOLD / DISCHARGED | WITHDRAWN) with every transition appended to patient_enrolment_events. Care tasks carry type (LOG_READING | COMPLETE_SURVEY | TAKE_MEDICATION | ATTEND_CONSULTATION), due_at, and completion_status (COMPLETED | MISSED | SKIPPED); SKIPPED requires a skip_reason before the task can advance. Medication adherence is tracked in medication_adherence_events (TAKEN | MISSED | LATE | SKIPPED): adherence rate is always computed from the event log, never a mutable counter. Patient-reported outcomes use a patient_surveys config (question_set JSONB, scoring_logic) with responses immutable once submitted; score_events are computed from responses via scoring_logic at submission time, not recalculated retroactively. Symptom reports are append-only (symptom_type, severity 1-10, reported_at); a materialised trend view over symptom_reports feeds clinical alert rules without requiring updates to the alert config table.

Analytics, Population Health, and Regulatory Reporting

Patient outcomes materialised views (glycaemic_control_by_patient, blood_pressure_trend_by_patient, hospitalisation_rate_by_programme, and readmission_rate_by_condition) are recomputed from append-only event logs, never from mutable summary fields. Population health analytics surface programme_adherence_rate_by_condition, alert_response_time_by_severity, and device_data_completeness_by_patient (flagging patients with gaps in expected readings against the monitoring_schedule in their care programme config). CMS RPM reimbursement eligibility is derived from rpm_readings (minimum reading days met) and clinical_time_log (minimum 20 minutes of monitoring time per qualifying month); cms_reimbursement_events logs each qualifying month per patient and is auditable back to source readings: eligibility is never manually entered. HIPAA business associate agreement tracking in baa_records (vendor_id, signed_at, expiry_at, baa_status) generates compliance alerts before an expired BAA would permit data sharing. Data residency rules in data_residency_rules (patient_state, permitted_regions) are enforced at write time: PHI is never written to a non-permitted region.