Clinician-Patient Asynchronous Text Messaging Communication in Hospital-at-Home Care: Qualitative Study - Scorecard - MDSpire

Clinician-Patient Asynchronous Text Messaging Communication in Hospital-at-Home Care: Qualitative Study

  • By

  • Jeremy Soon Leong Seow

  • Stephanie Ko

  • Shi Yun Low

  • Shefaly Shorey

  • June 8, 2026

  • 0 min

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Clinical Scorecard: Asynchronous Text Messaging Between Clinicians and Patients in Hospital-at-Home Settings: A Qualitative Analysis

At a Glance

CategoryDetail
ConditionHospital-at-Home (HaH) care model
Key MechanismsDigital communication tools for clinical care coordination and remote monitoring
Target PopulationPatients enrolled in HaH programs, specifically those diagnosed with COVID-19 during the study period
Care SettingHome environment

Key Highlights

  • HaH programs provide hospital-level care at home, improving patient satisfaction and reducing hospital stays.
  • Digital communication, including SMS text messaging, is essential for effective care delivery in HaH settings.
  • The study explores the content and dynamics of SMS interactions between health care providers and patients.

Guideline-Based Recommendations

Diagnosis

  • Patients must be enrolled in the HaH program and diagnosed with acute internal medicine conditions.

Management

  • Utilize digital communication platforms for clinical updates and care coordination.

Monitoring & Follow-up

  • Implement remote monitoring to ensure continuity of care and timely information exchange.

Risks

  • Potential challenges in maintaining effective communication and trust in a digital environment.

Patient & Prescribing Data

Patients enrolled in the NUHS@Home program during the COVID-19 pandemic.

Care is delivered through a combination of digital communication and periodic home visits.

Clinical Best Practices

  • Ensure effective communication among health care providers, patients, and caregivers.
  • Leverage digital tools to enhance patient engagement and clinical decision-making.

Related Resources & Content

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