title: Modeling Healthcare Processes Using Commitments: An Empirical Evaluation.
abstract: The two primary objectives of this paper are: (a) to demonstrate how Comma, a business modeling methodology based on commitments, can be applied in healthcare process modeling, and (b) to evaluate the effectiveness of such an approach in producing healthcare process models. We apply the Comma approach on a breast cancer diagnosis process adapted from an HHS committee report, and presents the results of an empirical study that compares Comma with a traditional approach based on the HL7 Messaging Standard (Traditional-HL7). Our empirical study involved 47 subjects, and two phases. In the first phase, we partitioned the subjects into two approximately equal groups. We gave each group the same requirements based on a process scenario for breast cancer diagnosis. Members of one group first applied Traditional-HL7 and then Comma whereas members of the second group first applied Comma and then Traditional-HL7-each on the above-mentioned requirements. Thus, each subject produced two models, each model being a set of UML Sequence Diagrams. In the second phase, we repartitioned the subjects into two groups with approximately equal distributions from both original groups. We developed exemplar Traditional-HL7 and Comma models; we gave one repartitioned group our Traditional-HL7 model and the other repartitioned group our Comma model. We provided the same changed set of requirements to all subjects and asked them to modify the provided exemplar model to satisfy the new requirements. We assessed solutions produced by subjects in both phases with respect to measures of flexibility, time, difficulty, objective quality, and subjective quality. Our study found that Comma is superior to Traditional-HL7 in flexibility and objective quality as validated via Student's t-test to the 10% level of significance. Comma is a promising new approach for modeling healthcare processes. Further gains could be made through improved tooling and enhanced training of modeling personnel.
authors.affiliation: Cisco Systems Inc., Research Triangle Park, Durham, North Carolina, United States of America.
authors.forename: Pankaj R
authors.initials: PR
authors.lastname: Telang
authors.affiliation: Department of Computer Science, NC State University, Raleigh, North Carolina, United States of America.
authors.forename: Anup K
authors.initials: AK
authors.lastname: Kalia
authors.affiliation: Department of Computer Science, NC State University, Raleigh, North Carolina, United States of America.
authors.forename: Munindar P
authors.initials: MP
authors.lastname: Singh
mesh_terms: D001943:Breast Neoplasms / Q000175:diagnosis; D003695:Delivery of Health Care / Q000458:organization & administration*; D017598:Efficiency, Organizational; D036262:Empirical Research; D005260:Female; D006801:Humans; D007400:Interprofessional Relations; D017146:Models, Organizational; D010817:Physician-Patient Relations