Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for facilitating transactions for health-related computing products (e.g., mobile health applications or health-related devices). One method includes storing a plurality of lists, each list including health-related computing products approved for compensation by a payer entity. A claim for a health-related computing product is received from a user. The list with which the user is associated is determined. A determination is made whether the health-related computing product included in the claim is listed in the list with which the user is determined to be associated. When the health-related computing product is determined to be listed in the list with which the user is determined to be associated, compensation by the payer is authorized.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for identifying a preferred next best customer for pharmaceutical sales representatives to contact to promote a pharmaceutical product. A customer can be defined as any health care practitioner, health care facility, health care hospital system, or health care plan.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for handling data access request, including: receiving a request submitted by a user to access data entries stored at a primary data server; determining whether the received request is supported by a fast query service engine, the fast query service engine being different from the primary data server; in response to determining that the received request is supported by the fast query service engine, directing the request to the fast query service engine; receiving query results from the fast query service engine, the query results composed from more than one answer sets maintained in in-memory data store at the fast query service engine, the answer sets the in-memory data-store being synchronized with the primary data server; and providing the query results to the user submitting the request.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for identifying the role of Integrated Delivery Networks (IDNs) in determining prescriber behavior, using an analytical and reporting infrastructure. The disclosure also describes determining a model role for the prescribing behavior of the prescribers affiliated with an IDN to establish a performance level of a drug.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for modeling the possible outcomes of a negative event in the market place. A negative event may be any event that has a negative impact on the marketshare value for a product in a territory. The disclosure also describes, presenting marketing investments that will reduce impact on the marketshare based on the occurrence of a negative event, by an analytical infrastructure.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for receiving and aggregating anonymized data reports about when prescribers provide wireless device applications to patients. The disclosure discusses ways of analyzing the data reports in combination with other electronic medical information to generate useful conclusions about scenarios in the health care process.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for receiving and aggregating anonymized data reports about when prescribers provide wireless device applications to patients. The disclosure discusses ways of analyzing the data reports in combination with other electronic medical information to generate useful conclusions about scenarios in the health care process.

Abstract: A system and method for creating a unique alias associated with an individual identified in a health care database such that health care data, and particularly pharmaceutical-related data, can be efficiently gathered and analyzed. The system has a first data store for storing at least one record where each record includes a plurality of identification fields which when concatenated uniquely identify an individual, and at least one health care field corresponding to health care data associated with the individual. The system also has a second data store, and a processor. The processor selects a record of the first data store, then selects a subset of the plurality of identification fields within the selected record, and concatenates the selected subset of identification fields. Then the processor stores the concatenated identification fields in a record in the second data store with the at least one health care field from the selected record of the first data store.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for managing information exchange between medical care applications and an analytical infrastructure for medical care information.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for rating and ranking stakeholders in the distribution of controlled substances. One computer-implemented method includes receiving, at a computer system, retail prescription data, encrypted patient data, reference prescriber data, and pharmaceutical purchase data. For a retail outlet included in the received data, the method includes aggregating the received data and determining information about sales of a pharmaceutical product associated with the retail outlet. The method further includes rating the retail outlet based on the aggregated information.

Abstract: A system and method for providing a monthly cumulative prediction of pharmaceutical sales of a particular pharmaceutical, or group of pharmaceuticals, in a current month is disclosed. In particular, the technique of the present invention provides for extrapolating a sample of sales data for a given day across that entire day (114), extrapolating sales data for at least 14 prior days across an entire month (116); adjusting the monthly cumulative prediction by comparing past predicted values with past actual values (118); adjusting the monthly cumulative prediction to account for sales anomalies created by national or local holidays (120); and provides confidence intervals indicating the believed accuracy of the current monthly cumulative prediction (122).

Abstract: Some implementations provide a computer-implemented method for identifying, from on-line postings, reports of potential adverse effects resulting from consuming a healthcare product, the method including: receiving a log of on-line postings regarding consuming the healthcare product; receiving a database comprising a healthcare taxonomy and a set of linguistic rules; analyzing, based on the healthcare taxonomy, the log of on-line postings to identify a report of at least one adverse effect resulting from consuming the healthcare product; generating a score for the identified report according to the healthcare taxonomy and the set of linguistic rules; comparing the generated score with a threshold; and in response to determining that the generated score is above the threshold, flagging the identified report as a report of a potential adverse effect.

Abstract: A system and method for creating a unique alias associated with an individual identified in a health care database such that health care data, and particularly pharmaceutical-related data, can be efficiently gathered and analyzed. The system has a first data store for storing at least one record where each record includes a plurality of identification fields which when concatenated uniquely identify an individual, and at least one health care field corresponding to health care data associated with the individual. The system also has a second data store, and a processor. The processor selects a record of the first data store, then selects a subset of the plurality of identification fields within the selected record, and concatenates the selected subset of identification fields. Then the processor stores the concatenated identification fields in a record in the second data store with the at least one health care field from the selected record of the first data store.

Abstract: Presenting information to patients—intuitive, statistically significant bucket rankings in more than one score domain—in response to requests for medical providers associated with their choice of medical conditions or treatments, and other restrictions. Statistically significant intuitive bucket rankings (such as “*” to “****”) from relatively limited data on medical providers, and adjusting those intuitive bucket rankings so that they reflect a valid measure of the domain of interest despite differing numbers of measurements available for distinct medical providers. User interface by which a patient can (1) specify medical conditions or treatments, and other restrictions, (2) search for medical providers appropriate to those conditions, order them by bucket ranking in a choice of score domain, and (3) obtain more information on those medical conditions or treatments, for medical providers the patient selects.

Abstract: A system and method for creating a unique alias associated with an individual identified in a health care database such that health care data, and particularly pharmaceutical-related data, can be efficiently gathered and analyzed. The system has a first data store for storing at least one record where each record includes a plurality of identification fields which when concatenated uniquely identify an individual, and at least one health care field corresponding to health care data associated with the individual. The system also has a second data store, and a processor. The processor selects a record of the first data store, then selects a subset of the plurality of identification fields within the selected record, and concatenates the selected subset of identification fields. Then the processor stores the concatenated identification fields in a record in the second data store with the at least one health care field from the selected record of the first data store.

Abstract: Provided are methods and systems for providing analytic services, as well as computer programs encoded on computer storage devices and configured to perform the actions of the methods. One or more processors create an alignment associated with a client, where the alignment organizes data in a database, and where the data in the database comprises prescription information, store information, and product information. A request for a report is received, where the request identifies the client. The requested report is generated based on the alignment, where the report comprises one or more indicators derived from data contained in the database.

Abstract: A system and method for providing a monthly cumulative prediction of pharmaceutical sales of a particular pharmaceutical, or group of pharmaceuticals, in a current month is disclosed. In particular, the technique of the present invention provides for extrapolating a sample of sales data for a given day across that entire day (114), extrapolating sales data for at least 14 prior days across an entire month (116); adjusting the monthly cumulative prediction by comparing past predicted values with past actual values (118); adjusting the monthly cumulative prediction to account for sales anomalies created by national or local holidays (120); and provides confidence intervals indicating the believed accuracy of the current monthly cumulative prediction (122).

Abstract: A system and methods for generating a profile concerning the prescription therapy practices of physicians in a therapeutic area of interest. A plurality of historical de-identified patient prescription records are analyzed, and the records are categorized based on changes in the dosage or the prescription product between prescriptions for a particular de-identified patient. The prescriptions may be categorized based on the duration between the due date of a prescription and the date the prescription was filled. This information may be summarized for each physician for each product in the therapy area of interest.

Abstract: A method for estimating the sales of specialty products includes defining a first product specific universe using wholesale purchasing data to determine a product specific store size for a first group of retail outlets. A second product specific universe is defined using sampled retail sales data to determine a product specific store size for a second group of retail outlets, which were not represented in the first group of outlets. Geo-spatial projection is applied to the first and second product specific universes to determine product specific projection factors for retail outlets in the first and second universe. The product specific projection factors are then applied to sampled retail sales data for the product to estimate the sales of said specialty product in unsampled outlets. Preferably, the retail sales data includes prescriber information and the resulting estimates are attributable to individual prescribers authorizing the specialty product sale.

Abstract: A system and method for accessing pharmaceutical data is described The method includes receiving a username and a password from a web page, and identifying an account having the username and the password associated therewith. The method further includes reading a service level associated with the identified account, determining at least one question that is authorized to be presented to the web page based on the service level associated with the account, and populating a list control element of the web page with the at least one question.