Aligning health information technologies with effective service delivery models to improve chronic disease care

Prev Med. 2014 Sep:66:167-72. doi: 10.1016/j.ypmed.2014.06.017. Epub 2014 Jun 22.


Objective: Healthcare reforms in the United States, including the Affordable Care and HITECH Acts, and the NCQA criteria for the Patient Centered Medical Home have promoted health information technology (HIT) and the integration of general medical and mental health services. These developments, which aim to improve chronic disease care, have largely occurred in parallel, with little attention to the need for coordination. In this article, the fundamental connections between HIT and improvements in chronic disease management are explored. We use the evidence-based collaborative care model as an example, with attention to health literacy improvement for supporting patient engagement in care.

Method: A review of the literature was conducted to identify how HIT and collaborative care, an evidence-based model of chronic disease care, support each other.

Results: Five key principles of effective collaborative care are outlined: care is patient-centered, evidence-based, measurement-based, population-based, and accountable. The potential role of HIT in implementing each principle is discussed. Key features of the mobile health paradigm are described, including how they can extend evidence-based treatment beyond traditional clinical settings.

Conclusion: HIT, and particularly mobile health, can enhance collaborative care interventions, and thus improve the health of individuals and populations when deployed in integrated delivery systems.

Keywords: Community health services; Delivery of health care; Health information technology; Mental health services; Patient care management; Primary health care.

Publication types

  • Research Support, N.I.H., Extramural
  • Review

MeSH terms

  • Chronic Disease / therapy*
  • Cooperative Behavior
  • Delivery of Health Care / organization & administration*
  • Disease Management
  • Evidence-Based Practice
  • Humans
  • Medical Informatics Applications*
  • Medical Informatics*
  • Models, Organizational
  • Quality Assurance, Health Care*
  • United States