10.15146/R3B37B
Felker, Christopher
0000-0001-5537-0824
University of California, San Diego
Ahl, Sue
University of California, San Diego
Contract design thinking: a service oriented architecture SOA for contract
models, maintenance and testing
Dryad
dataset
2018
2018-04-03T18:27:16Z
2018-04-03T18:27:16Z
en
34211 bytes
5
CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
Contract variances complicate academic medical center accounts receivables
because they are one driver of ambiguity when calculating future free cash
flows FFCF [1]. UC Health provides leadership and strategic direction for
UC’s five academic medical centers and 18 health professional schools.
Contract variations within 1 (one) medical center has a multiplier effect
in the consolidated annual financial reporting. In December 2017 we
created an internal project charter [2] to consolidate contracts financial
accounts receivables activity (including system optimisation) within a
revenue cycle operations department. Importantly, this project charter
integrated managed care contracts built is a second Epic application
(Tapestry). Prior to this, information technology IT staff made systems
changes (in the Resolute application only). This work was driven by direct
communications from the contract negotiation functions at UCSD Health. In
April 2018, we started a collaboration with the University of California
San Francisco Medical Center. At the highest level, the collaboration was
intended to address a fragmented finance and contracts management
landscape built up over time. These campuses share an electronic medical
records system (Epic) which benefits from standardised exchanges of
contract language and data structure definitions. By itself, executed
contracts and several of the Epic recommended design and contracts
management tools can be inadequate in terms of language, content, medium,
and design. Operational challenges created by incomplete contracts
specifications, long cycle times and poor 'fit' between the data
and the build almost always add to aggravated operational issues. Rather
than enablers of business success, contracts become obstacles [3]. Our
collaboration has four main purposes: First to resolve or at least
alleviate the problems of dysfunctional contract communication. Second to
enable the exchange of pertinent, solution oriented legal, data and
analytic information among different UC medical center revenue cycle
organisations. Third to intensify and expand efforts to simplifying
contracts, especially in fundamental areas like naming, ordering and
sharing test data. Fourth to raise awareness that simplifying contracts
and pre and post contract data might prompt a new cluster for applied
intra- and interdisciplinary research for reducing cash expenses from
fixed and variable costs in time CE. References 1 Grzegorz M 11 2008. A
portfolio management approach in accounts receivable management. Journal
South East European Journal of Economics and Business, Vol. 3, No. 2, pp.
89-96. DOI: 10.2478/v10033-008-0018-4 2 Ahl S, Felker C and Thurman P 12
2017. UCSD Health internal document. Hospital, Professional, Managed Care
contract performance operational lead re location to revenue cycle patient
financial services / Hospital, Professional, Managed Care contract
contract maintenance setup and support / Contract maintenance co operative
strategy with other UC medical centers . This is identified in a
consolidated revenue cycle data catalog <d/078 2018 03 018 help
create a sustainable contract management service> 3 Swiss Re Centre
for Global Dialogue 2016. International conference on contract
simplification. <http://bit.ly/2GvLqOK>. See
especially, Kilgour S and Unsworth R. Swiss Re Managing the complexity:
text mining analytics. <http://bit.ly/2uIqChP> last accesed
2018 04 03. UC San Diego Health converts its contracts into Oasis Legal
XML [4]. This conversion yields important analytic and information
governance results. We adopted a (Epic) system capable naming convention
for the data structure. We developed a brief Adobe Spark on the job
training manual, a data catalog for the individual contracts and lines. We
hope to make this a sharable UC standard available to all UC medical
center campus partners (here on Dash). Certain features in JMP 13 are very
useful for exploring this unstructured text data. JMP Pro 13 helps cluster
terms and phrases and use text in predictive models. Some of the
capabilities required for text analysis are analogous to those required
for tabular data. Text analytics is like general multivariate analysis.
Topic analysis is like factor analysis. Singular value decomposition (SVD)
is like principal component analysis. The Lanczos SVD handles messy data
well and yields more meaningful factors necessary for naming and ordering
specific contract lines in Epic. See 2016. JMP 13 Preview: New text
analytics in JMP Pro <http://bit.ly/2H6UQgV> last accesed
2018 04 03. 4 See OASIS Advancing open standards for the information
society <http://bit.ly/2EhrDww> last accesed 2018 04
03. OASIS is a not for profit consortium that brings people together to
agree on intelligent ways to exchange information over the Internet and
within their organisations.
Produced and disseminated by UCSD Health administrative staff
('employees') under the 2015 10 23 University of California
Presidential Open Access Policy <http://bit.ly/2ptLzaU>.
Last accessed 2018 03 20. The authors do not own the copyrights for this
work, but grant to the Regents of the University of California a
nonexclusive, irrevocable, worldwide license to exercise any and all
rights under copyright, in any medium, and to authorize others to do the
same, for the purpose of making their articles widely and freely available
in this open access repository. See policy text 3(B)(1). There is no
embargo period that would delay this publication. See procedures 5(C).
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