Object Recognition in the Enterprise: Structural and Behavioral Capabilities of Patient-Centered Medical Homes
The healthcare industry in United States is the largest delivery system in the world. However, this system is facing significant pressures to transform itself to operate more efficiently. It is generally accepted that the use of health information technology can assist in solving the problem by reducing cost and increasing quality of patient care. However characteristics of adopters and quality of implementations are not well understood and are an ongoing challenge.
Using an interdisciplinary study of healthcare and technology, the objective of this research is to measure the prevalence of health information technology capabilities and their impact on delivery of care. More specifically, this research will study health information technology adoption in context of Patient-Centered Medical Home implementations. By using as its basis the American Association of Family Physician recommendations for becoming a Patient-Centered Medical Home (one of the most widely disseminated models), the proposed research will survey health care providers for prevalence of structural and behavioral capabilities used to implement a Patient-Centered Medical Home.
The general objectives of the feasibility study includes demonstrating the larger research objectives and demonstrating that the right mix of theories and methodologies have been considered. The small field study was conducted at Oregon Health & Science University (OHSU) with the Care Management Plus (CMP) Team. CMP is a proven HIT application for older adults and chronically ill patients with multiple conditions and the innovation includes software, clinic processes and training. Use of qualitative research based case study, with application of diffusion theory and dynamic capabilities using the Unified Modeling Language (UML) notation are demonstrated in this field study. In the following sections data collection, analysis, results, conclusions and limitations of research along with propositions for future research are discussed.