TY - GEN
T1 - POP-PL
T2 - 14th ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, GPCE 2015
AU - Florence, Spencer P.
AU - Fetscher, Burke
AU - Flatt, Matthew
AU - Temps, William H.
AU - Kiguradze, Tina
AU - West, Dennis P
AU - Niznik, Charlotte
AU - Yarnold, Paul R.
AU - Findler, Robert
AU - Belknap, Steven M
N1 - Copyright:
Copyright 2016 Elsevier B.V., All rights reserved.
PY - 2015/10/26
Y1 - 2015/10/26
N2 - Medical professionals have long used algorithmic thinking to describe and implement health care processes without the benefit of the conceptual framework provided by a programming language. Instead, medical algorithms are expressed using English, flowcharts, or data tables. This results in prescriptions that are difficult to understand, hard to debug, and awkward to reuse. This paper reports on the design and evaluation of a domainspecific 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 a prototype of our language and evaluated its design by writing prescriptions in the new language and administering a usability survey to medical professionals. This formative 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.
AB - Medical professionals have long used algorithmic thinking to describe and implement health care processes without the benefit of the conceptual framework provided by a programming language. Instead, medical algorithms are expressed using English, flowcharts, or data tables. This results in prescriptions that are difficult to understand, hard to debug, and awkward to reuse. This paper reports on the design and evaluation of a domainspecific 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 a prototype of our language and evaluated its design by writing prescriptions in the new language and administering a usability survey to medical professionals. This formative 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.
KW - DSL Design
KW - Empirical Evaluation
KW - Medical Prescriptions
KW - Medical Programming Languages
UR - http://www.scopus.com/inward/record.url?scp=84963603729&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84963603729&partnerID=8YFLogxK
U2 - 10.1145/2814204.2814221
DO - 10.1145/2814204.2814221
M3 - Conference contribution
AN - SCOPUS:84963603729
T3 - GPCE 2015 - Proceedings of the 2015 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences
SP - 131
EP - 140
BT - GPCE 2015 - Proceedings of the 2015 ACM SIGPLAN International Conference on Generative Programming
A2 - Kastner, Christian
A2 - Gokhale, Aniruddha
PB - Association for Computing Machinery, Inc
Y2 - 26 October 2015 through 27 October 2015
ER -