Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing platform that identifies information about a trial program, where the information is related to healthcare data included in datasets, and identifies an investigator based on the information about the trial program. A data analytics model of the platform generates an initial provider score for each provider in a group of providers based on analysis of the information. The analyzed information of the datasets includes healthcare data describing interactions between patients and providers in the group and criteria for the trial program. The platform provides a request to a subset of providers using the initial provider scores. The request is an invitation to for each provider to join a referral network. The platform uses the request to establish referral connections between the trial investigator and a provider in the subset.

Abstract: Some implementations provide a computer-implemented method that includes retrieving, from a customer relationship (CRM) database, data documenting exposures of healthcare professionals to information of healthcare products from more than one channels and at various time points; processing the retrieved data to model the exposure of each healthcare professional such that an effectiveness of each of the more than one channels for the particular healthcare professional is determined; retrieving, from a prescription database, data recording each healthcare professional prescribing healthcare products at various time points; longitudinally associating the processed data from the customer relationship database and the retrieved data from the prescription database such that a multi-channel CRM and prescription database is generated; and, determining a next healthcare professional to whom information of a particular healthcare product should be directed as well as a channel for the next healthcare professional to rec

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating source-specific, persistent patient identifiers for healthcare service providers. One method includes accessing a record of healthcare data, wherein the record includes patient identifying information (PII) associated with one or more persons to whom the healthcare data pertains. The portions of PII included in the accessed record of healthcare data are extracted from the accessed record and encrypted. Based on one or more business rules, one or more hashed tokens are created by applying one or more hashing functions to the extracted portions of PII. A source-specific identifier is received, the source-specific identifier having been encoded in a manner specific to an organization associated with the computer system and having been encoded with reference to the one or more hashed tokens. An association is stored between the source-specific identifier and the accessed record of healthcare data.

Abstract: A requirements to test (R2T) system is implemented, which provides an automated system by which a user interface (UI)-test automation script package is generated and the generated test scripts therein are executed against software. A visualized workflow is translated into some machine-consumable formatted file. The translated workflow is utilized by an artificial intelligence driven automated R2T engine to discover paths through the workflow, a series of executable steps for the paths that detail how the software will be used, and ultimately test scripts that are generated using pre-defined validation templates. An automation platform executes the test scripts through the software associated with the workflow, which automatically captures evidence of the executed test scripts to fulfill computer system validation requirements. The R2T system provides an automated solution for test script creation and system validation to expedite the validation process and thereby streamline a software's time to market.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a computing system that identifies information about a trial program. The information is related to healthcare data for a subset of providers. The system identifies a provider based on analysis of the information and the healthcare data and provides trial program criteria for analysis at a provider system. The provider system has access to healthcare data for subjects that interact with the provider. The computing system generates data indicating a result of screening each subject by analyzing the trial program criteria against healthcare data for each subject and receives data for a selection of a subject from the provider system. The selection is determined using screening data for the subject. A referral network of the system provides the screening data for access and analysis at an investigator system.

Abstract: Implementations provide a method to consolidate data records of regimens for treating oncology conditions. The method includes: accessing data records each encoding multi-tier data characteristics of a regimen for treating a particular oncology condition; receiving a first data record encoding a first regimen specific to a first healthcare provider institution; parsing the first data record according to a hierarchy of the encoded multi-tier data characteristics; distributing a respective weight to each of the encoded data characteristics to account for the potentially missing data characteristic; comparing data characteristics of the first data record with data characteristics from the data records by applying the respective weight to each data characteristic at a particular tier of the hierarchy such that a respective compound score is generated for each data record; and based on the compound scores for all data records, determining a prevailing data record of regimen as matching the first data record.

Abstract: A computer-assisted method to provide timely multi-channel notification of treatments to healthcare providers and patients, the method including receiving de-identified longitudinal medical records, treatment prescription records of healthcare providers, and notification data. Relationships between the healthcare providers, the anonymized patients, and the notifications are identified using the de-identified longitudinal medical records, the treatment prescription records of the healthcare providers, and the notification data. An impact of notifications being received by both the healthcare provider for the anonymized patient and the anonymized patient on whether the anonymized patient received the treatment is determined.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for accessing volumes of data records structured to include sets dimensions, each dimension labelled in a manner specific to respective entities; identifying candidates data records keyed by managed keys that span a subset of dimensions even though at least one dimension from the subset of dimensions is labelled differently between the different volumes; comparing the candidate data records from the different volumes to determine whether a particular managed key is valid based on contents of the candidate data records from the different volumes; in response to determining that the particular managed key is valid, combining the candidate data records keyed by the valid managed key to be merged and accessible as one continuous entry; and in response to determining that the particular managed key is invalid, combining the candidate data records from the different volumes as separate entries.

Abstract: A computer-implemented method includes a computing system having a database that stores multiple datasets and that accesses the database to perform operations on a first dataset to produce multiple second datasets. The system determines a relationship between the first dataset and each second dataset of the multiple second datasets. The system also determines a relationship between respective groups of the first dataset and determines a relationship between respective groups of each second dataset. The system generates summary objects based, in part, on the determined relationships between respective groups of the first and second datasets. The system includes a machine learning system that uses the respective summary objects to analyze the performed operations that produced the multiple second datasets. Based on the analyzed performed operations, the machine learning system generates a data analysis model that indicates sequences of operations for achieving particular desired data analysis outcomes.

Abstract: A computer-implemented tool for automated classification and interpretation of documents, such as life science documents supporting clinical trials, is configured to perform a combination of raw text, document construct, and image analyses to enhance classification accuracy by enabling a more comprehensive machine-based understanding of document content. The combination of analyses provides context for classification by leveraging relative spatial relationships among text and image elements, identifying characteristics and formatting of elements, and extracting additional metadata from the documents as compared to conventional automated classification tools.

Abstract: Documents in a source natural language are translated into one or more target natural languages using a computer-implemented translation tool that is configured to operate within the domain of life science that imposes specialized requirements for translation and readability. Life science documents typically include domain-specific terminology, are subject to various regulatory guidelines, and have different readability requirements depending on the intended reader. The computer-implemented translation tool applies machine-learning techniques that deconstruct elements of a life science document into a standard data structure and perform pre-processing steps to tokenize digitized document text to identify the correct sentence structure and syntax for the target natural language to optimize translation by a translation engine such as a neural machine translation engine.

Abstract: Implementations provide a method to consolidate data records of regimens for treating oncology conditions. The method includes: accessing data records each encoding multi-tier data characteristics of a regimen for treating a particular oncology condition; receiving a first data record encoding a first regimen specific to a first healthcare provider institution; parsing the first data record according to a hierarchy of the encoded multi-tier data characteristics; distributing a respective weight to each of the encoded data characteristics to account for the potentially missing data characteristic; comparing data characteristics of the first data record with data characteristics from the data records by applying the respective weight to each data characteristic at a particular tier of the hierarchy such that a respective compound score is generated for each data record; and based on the compound scores for all data records, determining a prevailing data record of regimen as matching the first data record.

Abstract: One example method for predictive clinical planning and design includes instantiating a plurality of data objects, each data object of the plurality of data objects comprising clinical trial information; displaying a graphical user interface on one or more display screens, the graphical user interface providing a graphical representation of at least a portion of a clinical trial and comprising a plurality of graphical nodes; receiving a selection of the second graphical node; receiving, via an editor associated with the second graphical node, a modification of the second data object; propagating an indication of the modification to the first data object, the propagation modifying a clinical trial data item of the first data object; and displaying, within the first graphical node, the modified clinical trial data item of the first data object.

Abstract: The disclosure generally describes computer-implemented methods, software, and systems for accessing volumes of data records structured to include sets dimensions, each dimension labelled in a manner specific to respective entities; identifying candidates data records keyed by managed keys that span a subset of dimensions even though at least one dimension from the subset of dimensions is labelled differently between the different volumes; comparing the candidate data records from the different volumes to determine whether a particular managed key is valid based on contents of the candidate data records from the different volumes; in response to determining that the particular managed key is valid, combining the candidate data records keyed by the valid managed key to be merged and accessible as one continuous entry; and in response to determining that the particular managed key is invalid, combining the candidate data records from the different volumes as separate entries.

Abstract: A computer-assisted method to timely provide notifications of treatments, the method including receiving de-identified longitudinal medical records, receiving notification data, identifying anonymized patients that received the treatment, identifying notifications for the treatment that were received by the recipients, determining, for each of the identified notifications, whether the recipient is an anonymized patient identified as having received the treatment, determining, for each of the identified notifications for the treatment determined to be received by a recipient that is an anonymized patient identified as having received the treatment, a time relationship between the time when the treatment was received by the anonymized patient and the time that the notification was received by the recipient that is the anonymized patient, and determining, for each of the anonymized patients that received the treatment, associations between one or more time relationships for notifications received by the anonymiz

Abstract: A method and system to provide multi-layered access control for healthcare datasets are disclosed. The method comprises defining an information policy for each of healthcare datasets, wherein the information policy comprises information access permissions. Further, an organization policy is defined for each of the healthcare datasets, wherein the organization policy comprises license permissions for organizations accessing the healthcare datasets. Thereafter, a user account master policy is defined for each of the healthcare datasets, wherein the user account master policy comprises account permissions assigned to users of the organizations. Subsequently, a master user policy is generated for each of the users based on the information policy, the organization policy, the user account master policy, or a combination thereof, wherein the master user policy comprises access control permissions to provide each of the users access to the healthcare datasets.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for creating source-specific, persistent patient identifiers for healthcare service providers. One method includes accessing a record of healthcare data, wherein the record includes patient identifying information (PII) associated with one or more persons to whom the healthcare data pertains. The portions of PII included in the accessed record of healthcare data are extracted from the accessed record and encrypted. Based on one or more business rules, one or more hashed tokens are created by applying one or more hashing functions to the extracted portions of PII. A source-specific identifier is received, the source-specific identifier having been encoded in a manner specific to an organization associated with the computer system and having been encoded with reference to the one or more hashed tokens. An association is stored between the source-specific identifier and the accessed record of healthcare data.

Abstract: A computer-assisted method to timely provide notifications of treatments, the method including receiving de-identified longitudinal medical records, each de-identified longitudinal medical record representing a record of a different anonymized patient and encoding information identifying a treatment received by the anonymized patient and receiving notification data including notification records, each notification record encoding information identifying a channel through which the notification was provided. The method includes determining a first channel impact model representing an impact of a notification provided through a first channel on a treatment being received, a second channel impact model representing an impact of a notification provided through a second channel on a treatment being received, and determining a multi-channel impact model representing an impact of notifications being provided through both the first channel and the second channel on a treatment being received.

Abstract: System and method to produce a virtual trusted database record, the method including receiving, by a processor coupled to a user-facing communication interface and to a memory, a request for the virtual trusted database record, the virtual trusted database record including a plurality of record data fields. Then identifying a business context of the request and assigning a respective priority to each of the record data fields, based upon the business context. Mapping each of the record data fields to a respective database source for data to populate the respective data field, the respective database source having a predetermined level of authoritativeness based upon the assigned priority. Retrieving data for each data field from the database source mapped to the respective data field, and assembling the retrieved data for each data field to produce the virtual trusted database record.

Abstract: A method includes accessing genomic data of from a genomic database; generating, by a processor, a first hash by probabilistically and irreversibly encrypting a first portion of the genomic data encoding the first genomic sequence, the first hash projecting the first portion into reduced dimensions such that the first portion of the genomic data encoding the first genomic sequence becomes statistically improbable to recover outside the first processor; generating, by the processor, a first cryptogram by deterministically and reversibly encrypting a second portion of the genomic data encoding the first genomic sequence; generating, by the processor, a look-up table by using at least the first cryptogram as a key and the first portion of the genomic data encoding the first genomic sequence as the value, and transmitting data encoding the first hash and the first cryptogram to one or more processors that are different from the first processor.