Systems and method for implementing biomedical innovation datametrics dashboard
Systems and methods for implementing a biomedical innovations datametrics dashboard are presented. The dashboard can utilize data from real-world data sources to inform a simulation model which performs simulations of the biomedical innovation pipeline and related entities and processes. The dashboard can utilize the simulation model as well as feedback solicited from a user to assist in performing multi-objective optimization according to the user's preferences. The dashboard can help policy decision-makers and other stakeholders decide on a combination of policies that best incentivizes private sector biomedical innovation in order to achieve a satisfactory set of outcomes, which may include, but is not limited to, reductions in DALYs, healthcare costs, increases in industry NPV, and improved clinical trial quality.
1. An electronic simulation device for obtaining satisficing solutions to optimize public and private sector interactions using computational models, the device comprising:
a processor, the processor configured to:
receive data from one or more sources;
perform one or more simulations based on the received data, wherein the one or more simulations are based on a plurality of models, one or more constraints provided by a user of the electronic device, and one or more objectives provided by the user of the device, wherein the simulations are configured to predict the outcomes of governmental policy scenarios, and wherein the plurality of models include at least one of: a policy and budget model, a private sector response model, an innovation development cycle model, or a population and disease model; and
determine a satisficing strategy for the one or more objectives provided by the user, wherein determining a satisficing solution comprises:
defining a normalized objective function for each of the one or more objectives provided by the user of the device;
defining a preference function over a strategy space; and
refining the strategy, wherein refining the strategy includes applying one or more perturbations to the one or more simulations.
2. The device of claim 1 , wherein the data received from the one or more sources are used to initialize a base simulation population and disease attributes, and wherein the one or more simulations are based on the initialized base simulation population and disease attributes.
3. The device of claim 1 , wherein receiving the data comprises:
downloading content from the one or more sources;
extracting the data from the downloaded content; and
transforming the extracted data into a common format.
4. The device of claim 1 , wherein defining a normalized objective function comprises:
prompting the user for one or more minimum acceptability thresholds;
estimating one or more maximum feasibility values by performing a single-objective optimization on each objective of the one more objectives; and
defining the normalized objective function based on the one or more minimum acceptability thresholds and the one or more maximum feasibility values.
5. The device of claim 4 , wherein defining a preference function comprises:
prompting the user for one or more strategy preferences; and
modifying the normalized objective function based on the user's one or more strategy preferences.
6. The device of claim 5 , wherein the processor is further caused to select a satisficing strategy based on one or more user preferences, and wherein selecting a satisficing strategy includes searching for one or more preferred strategies by performing a single-objective optimization over a space of satisficing strategies using the defined preference function.
7. The device of claim 1 , wherein refining the strategy includes prompting the user to indicate whether the one or more objectives should be improved, relaxed, or is acceptable and perturbing the strategy based on the user's indication.
8. A method for executing a computational simulation to obtain satisficing solutions to optimize public and private sector interactions, the method comprising:
receiving data from one or more sources;
performing one or more simulations based on the received data, wherein the one or more simulations are based on a plurality of models, one or more constraints provided by a user of the electronic device, and one or more objectives provided by the user of the device, wherein the simulations are configured to predict the outcomes of governmental policy scenarios, and wherein the plurality of models include at least one of: a policy and budget model, a private sector response model, an innovation development cycle model, or a population and disease model; and
determining a satisficing strategy for the one or more objectives provided by the user, wherein determining a satisficing solution comprises:
defining a normalized objective function for each of the one or more objectives provided by the user of the device;
defining a preference function over a strategy space; and
refining the strategy, wherein refining the strategy includes applying one or more perturbations to the one or more simulations.
9. The method of claim 8 , wherein the data received from the one or more sources are used to initialize a base simulation population and disease attributes, and wherein the one or more simulations are based on the initialized base simulation population and disease attributes.
10. The method of claim 8 , wherein receiving the data comprises:
downloading content from the one or more sources;
extracting the data from the downloaded content; and
transforming the extracted data into a common format.
11. The method of claim 8 , wherein defining a normalized objective function comprises:
prompting the user for one or more minimum acceptability thresholds;
estimating one or more maximum feasibility values by performing a single-objective optimization on each objective of the one more objectives; and
defining the normalized objective function based on the one or more minimum acceptability thresholds and the one or more maximum feasibility values.
12. The method of claim 11 , wherein defining a preference function comprises:
prompting the user for one or more strategy preferences; and
modifying the normalized objective function based on the user's one or more strategy preferences.
13. The method of claim 12 , wherein the method further includes selecting a satisficing strategy based on one or more user preferences, and wherein selecting a satisficing strategy includes searching for one or more preferred strategies by performing a single-objective optimization over a space of satisficing strategies using the defined preference function.
14. The method of claim 8 , wherein refining the strategy includes prompting the user to indicate whether the one or more objectives should be improved, relaxed, or is acceptable and perturbing the strategy based on the user's indication.
15. A non-transitory computer readable storage medium having stored thereon a set of instructions for executing a computational simulation to obtain satisficing solutions to optimize public and private sector interactions that when executed by a computing device, cause the computing device to:
receive data from one or more sources;
perform one or more simulations based on the received data, wherein the one or more simulations are based on a plurality of models, one or more constraints provided by a user of the electronic device, and one or more objectives provided by the user of the device, wherein the simulations are configured to predict the outcomes of governmental policy scenarios, and wherein the plurality of models include at least one of: a policy and budget model, a private sector response model, an innovation development cycle model, or a population and disease model; and
determine a satisficing strategy for the one or more objectives provided by the user, wherein determining a satisficing solution comprises:
defining a normalized objective function for each of the one or more objectives provided by the user of the device;
defining a preference function over a strategy space; and
refining the strategy, wherein refining the strategy includes applying one or more perturbations to the one or more simulations.
16. The non-transitory computer readable storage medium of claim 15 , wherein the data received from the one or more sources are used to initialize a base simulation population and disease attributes, and wherein the one or more simulations are based on the initialized base simulation population and disease attributes.
17. The non-transitory computer readable storage medium of claim 15 , wherein receiving the data comprises:
downloading content from the one or more sources;
extracting the data from the downloaded content; and
transforming the extracted data into a common format.
18. The non-transitory computer readable storage medium of claim 15 , wherein defining a normalized objective function comprises:
prompting the user for one or more minimum acceptability thresholds;
estimating one or more maximum feasibility values by performing a single-objective optimization on each objective of the one more objectives; and
defining the normalized objective function based on the one or more minimum acceptability thresholds and the one or more maximum feasibility values.
19. The non-transitory computer readable storage medium of claim 18 , wherein defining a preference function comprises:
prompting the user for one or more strategy preferences; and
modifying the normalized objective function based on the user's one or more strategy preferences.
20. The non-transitory computer readable storage medium of claim 19 wherein the device is further caused to, select a satisficing strategy based on one or more user preferences, and wherein selecting a satisficing strategy includes searching for one or more preferred strategies by performing a single-objective optimization over a space of satisficing strategies using the defined preference function.
21. The non-transitory computer readable storage medium of claim 15 , wherein refining the strategy includes prompting the user to indicate whether the one or more objectives should be improved, relaxed, or is acceptable and perturbing the strategy based on the user's indication.