Minimizing data requirements for soldier-interactive AI/ML applications through opportunistic sensing

Author(s):  
Brent Lance ◽  
Gabriella B. Larkin ◽  
Jonathan O. Touryan ◽  
Joe T. Rexwinkle ◽  
Steven M. Gutstein ◽  
...  
1999 ◽  
Vol 38 (04/05) ◽  
pp. 339-344 ◽  
Author(s):  
J. van der Lei ◽  
B. M. Th. Mosseveld ◽  
M. A. M. van Wijk ◽  
P. D. van der Linden ◽  
M. C. J. M. Sturkenboom ◽  
...  

AbstractResearchers claim that data in electronic patient records can be used for a variety of purposes including individual patient care, management, and resource planning for scientific research. Our objective in the project Integrated Primary Care Information (IPCI) was to assess whether the electronic patient records of Dutch general practitioners contain sufficient data to perform studies in the area of postmarketing surveillance studies. We determined the data requirements for postmarketing surveil-lance studies, implemented additional software in the electronic patient records of the general practitioner, developed an organization to monitor the use of data, and performed validation studies to test the quality of the data. Analysis of the data requirements showed that additional software had to be installed to collect data that is not recorded in routine practice. To avoid having to obtain informed consent from each enrolled patient, we developed IPCI as a semianonymous system: both patients and participating general practitioners are anonymous for the researchers. Under specific circumstances, the researcher can contact indirectly (through a trusted third party) the physician that made the data available. Only the treating general practitioner is able to decode the identity of his patients. A Board of Supervisors predominantly consisting of participating general practitioners monitors the use of data. Validation studies show the data can be used for postmarketing surveillance. With additional software to collect data not normally recorded in routine practice, data from electronic patient record of general practitioners can be used for postmarketing surveillance.


Author(s):  
Mary Kay Gugerty ◽  
Dean Karlan

This chapter considers the perspective of institutional donors like foundations and government in right-fit monitoring and evaluation. Institutional donors may have different data needs than the organizations they fund. This may occur when a donor wants to use the same metrics across its entire portfolio; when a donor supports organizations addressing different aspects of a broad social problem; when donors and organizations have different levels of trust in organizational staff; when they have different views on how to best apply the CART principles; when they have different levels of risk tolerance or place different levels of priority on generating transportable knowledge; or, when donor data requirements create internal tension within organizations. The chapter then examines how Pay for Success (PFS) programs can help to harmonize funder and fundee data incentives, as well as some of the drawbacks of the PFS approach.


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