POP-PL: A Patient-Oriented Prescription Programming Language
Medical professionals have long used algorithmic thinking to describe and implement health care processes, but without the benefit of the conceptual framework provided by a programming language. Instead, medical algorithms are expressed using English, flowcharts, or structured data tables. This results in prescriptions that are difficult to understand, difficult to debug, and awkward to reuse. This paper reports on the design and evaluation of a domain-specific programming language, POP-PL, for expressing medical algorithms. The design draws on the experience of researchers in two disciplines, programming languages and medicine. The language is based around the idea that programs and humans have complementary strengths, that when combined can make for safer, more accurate performance of prescriptions. We implemented our language and evaluated its design by writing prescriptions in the new language and administering a usability survey to medical professionals. This evaluation suggests that medical prescriptions can be conveyed by a programming language’s mode of expression and provides useful information for refining the language. Analysis of the survey results suggests that medical professionals can understand and correctly modify programs in POP-PL.
Tue 27 OctDisplayed time zone: Eastern Time (US & Canada) change
13:30 - 15:00 | |||
13:30 30mTalk | Generating Reactive Programs for Graphical User Interfaces from Multi-way Dataflow Constraint Systems GPCE Gabriel Foust Texas A & M University, Jaakko Järvi Texas A&M University, Sean Parent Adobe Systems, Inc. | ||
14:00 30mTalk | POP-PL: A Patient-Oriented Prescription Programming Language GPCE Spencer P. Florence Northwestern University, Burke Fetscher Northwestern University, Matthew Flatt University of Utah, William H Temps Northwestern University Feinberg School of Medicine, Departmentof Dermatology, Tina Kiguradze Northwestern University Feinberg School of Medicine, Departmentof Dermatology, Dennis P. West Northwestern University Feinberg School of Medicine, Departmentof Dermatology, Charlotte Niznik Northwestern University Feinberg School of Medicine, Departmentof Dermatology, Paul R. Yarnold Optimal Data Analysis LLC, Robert Bruce Findler Northwestern University, Steven M. Belknap Northwestern University Feinberg School of Medicine, Departmentof Dermatology | ||
14:30 30mTalk | Lightweight, Generative Variant Exploration for High-Performance Graphics Applications GPCE Kai Selgrad Friedrich-Alexander-Universität Erlangen-Nürnberg, Alexander Lier Friedrich-Alexander-Universität Erlangen-Nürnberg, Franz Köferl Friedrich-Alexander-Universität Erlangen-Nürnberg, Marc Stamminger Friedrich-Alexander-Universität Erlangen-Nürnberg, Daniel Lohmann Friedrich-Alexander University of Erlangen-Nürnberg |