Abstract: A method of preparing a dataset may comprise calculating a pattern relevance for a first field in the dataset and modifying the first field based on the pattern relevance. The method may further comprise detecting a contextual cue in the first field. The method may further comprise retrieving contextual information for a value in the first field and adding that contextual information to the database. Finally, the method may further comprise identifying a numerical scheme for the first field and parsing the first field into a number according to that numerical scheme.

Abstract: A method, a computer system, and a computer program product for two-way document generation for medical communication are provided. Patient data from a patient may be received. Medical services provider data from a medical services provider may be received. The patient data and the medical services provider data may be run through a machine learning model so that the machine learning model may produce a first document and a second document. The first document may be presented to the patient. The second document may be presented to the medical services provider.

Abstract: In an approach for retrieving and presenting data in a structured view from a database, a processor receives a request from a user for accessing data in the database based on a business object. The business object may be a configuration file that defines the data and how the data is to be retrieved from the database. A processor retrieves the business object. A processor determines, based on the business object, a location in the database to get the data. A processor retrieves the data from the database based on the business object. A processor formats the data based on the business object. A processor performs a post process on the data based on the business object. A processor returns the data to the user.

Abstract: A method, a computer system, and a computer program product for two-way document generation for medical communication are provided. Patient data from a patient may be received. Medical services provider data from a medical services provider may be received. The patient data and the medical services provider data may be run through a machine learning model so that the machine learning model may produce a first document and a second document. The first document may be presented to the patient. The second document may be presented to the medical services provider.

Abstract: In an approach for retrieving and presenting data in a structured view from a database, a processor receives a request from a user for accessing data in the database based on a business object. The business object may be a configuration file that defines the data and how the data is to be retrieved from the database. A processor retrieves the business object. A processor determines, based on the business object, a location in the database to get the data. A processor retrieves the data from the database based on the business object. A processor formats the data based on the business object. A processor performs a post process on the data based on the business object. A processor returns the data to the user.

Abstract: A method of preparing a dataset may comprise calculating a pattern relevance for a first field in the dataset and modifying the first field based on the pattern relevance. The method may further comprise detecting a contextual cue in the first field. The method may further comprise retrieving contextual information for a value in the first field and adding that contextual information to the database. Finally, the method may further comprise identifying a numerical scheme for the first field and parsing the first field into a number according to that numerical scheme.

Abstract: A method includes receiving an input signal. The input signal includes a request to transition from a start window to an auxiliary window. The start window is identified. The start application is initially in an active state. The auxiliary window is identified. The auxiliary window is initially in an inactive state. A start window overlay is determined based on the start window. The start window overlay includes a visual copy of the start window. An auxiliary window overlay is determined based on the auxiliary window. The method includes transitioning from the start window to the auxiliary window in an active state based on the start window overlay and the auxiliary window overlay.

Abstract: A method includes receiving an input signal. The input signal includes a request to transition from a start window to an auxiliary window. The start window is identified. The start application is initially in an active state. The auxiliary window is identified. The auxiliary window is initially in an inactive state. A start window overlay is determined based on the start window. The start window overlay includes a visual copy of the start window. An auxiliary window overlay is determined based on the auxiliary window. The method includes transitioning from the start window to the auxiliary window in an active state based on the start window overlay and the auxiliary window overlay.

Abstract: A network device compares unique identifiers between files of a 1st dataset and a 2nd dataset. Based on the comparison, the network device determines a first set of files that includes the files of the 1st dataset that are not elements of the 2nd dataset, determines a 2nd set of files that includes the files of the 2nd dataset that are not elements of the 1st dataset, and determines a 3rd set of files that includes the files that are contained in both the 1st dataset and the 2nd dataset. The network device synchronizes the 2nd dataset with the 1st dataset based on a comparison of a temporal indicator associated with each file in the 3rd set of files to identify files contained in both the 1st dataset and the 2nd dataset having a same unique identifier but a different temporal indicator.