System (10) for controlling a timing of consecutive biological samples (s0, s1) from a patient for a medical test (T), comprising: a registration device (30), configured for determining a patient id (PID) indicating an identity of the patient, and a first sample time point (t0) indicating a time of obtaining a first biological sample (s0) from the patient at a first time point (t0); a processing system (20), communicatively connected to the registration device (30), configured for receiving the patient id (PID) and the first sample time point (t0) from the registration device (30); determining a protocol rule (R) for the medical test (T) relating to timing requirements of obtaining biological samples (s0, s1) from the patient depending on the medical test (T); and determining a sample timing dependent on the protocol rule (R) and the first sample time point (t0), indicating when to obtain a second biological sample (s1) from the patient in compliance with the protocol rule (R).

A device comprising an orthodontic or dental appliance for use with a system for information management in dentistry, a system for storing and managing dentistry data such as information about an orthodontic or dental treatment of a person using a private network and a method for information management in dentistry are described.

Decision support technology is provided for use with patients who may experience respiratory deterioration. A mechanism is provided to determine whether a patient is experiencing (or is likely to experience at a future time) an autoimmune inflammatory event, which may include performing a spectral analysis on a time series of nocturnal or axillary temperatures for the patient to determine a spectrum slope or intercept. The time series may be demeaned, detrended, and apodized before performing the spectral analysis. A comparison of the slope or intercept with a baseline value is used to determine an indication of the patient's likely condition or future condition regarding the autoimmune inflammatory event. Based on the comparison, an intervening action may be invoked, such as alerting a caregiver, providing a recommendation or modified treatment, or determining and recommending a tailored prescription of medicine for the patient.

Decision support technology is provided for use with patients who may experience respiratory deterioration. A mechanism is provided to determine whether a patient is experiencing (or is likely to experience at a future time) an autoimmune inflammatory event, which may include performing a spectral analysis on a time series of nocturnal or axillary temperatures for the patient to determine a spectrum slope or intercept. The time series may be demeaned, detrended, and apodized before performing the spectral analysis. A comparison of the slope or intercept with a baseline value is used to determine an indication of the patient's likely condition or future condition regarding the autoimmune inflammatory event. Based on the comparison, an intervening action may be invoked, such as alerting a caregiver, providing a recommendation or modified treatment, or determining and recommending a tailored prescription of medicine for the patient.

A system and method for manufacturing custom fit artificial nails includes a 3D surface scanning module and a 3D printing module and use thereof. A central processing module is connected to the 3D surface scanning module and the 3D printing module and performs: operating the 3D surface scanning module to obtain an image of a user's hands/feet; processing the image to create an input 3D model of nails of the user; generating an output 3D model corresponding to artificial nails matching dimensions of the user's nails according to the 3D input model; operating the 3D printing module to manufacture artificial nails according to the output 3D model; and generating medical data by correlating the identified features of the user's nails with known medical conditions, in order to diagnose a medical condition of the user which is known to exhibit the identified features as a symptom. Alternatively, or additionally, medicinal ingredient may be included in the artificial nail to treat the medical condition of the user. Embedded devices, sensors or an RFID chip may be integrated into the artificial nail.

The present disclosure generally relates to methods and user interfaces for viewing and managing signed clinical records. In some embodiments, methods and user interfaces for adding a signed clinical record to a computer system are described. In some embodiments, methods and user interfaces for displaying signed clinical records with unsigned clinical records, wherein signed clinical records include a visual indication that they are signed, are described. In some embodiments, methods and user interfaces for adding signed and/or unsigned clinical records related to vision are described.

A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

A system includes a learning filter for deidentified healthcare data. The system provides self-improving data filtering of data for the detection of disorders for engaging patients in observational research to gather additional data. A processor performs operations including obtaining patient information about a patient and current order data. The current order data indicates an order for a laboratory test for the patient and obtaining, from a database, historical data indicating a previous laboratory test for the patient and a result of the previous laboratory test. The operations further include determining that the patient is a subject of interest for a disorder by applying the filter to historical data to produce filtered data and comparing the filtered data to a profile associated with the disorder. Additional laboratory tests can be performed, after which a hash-to-patient identifier (PID) mapping database and the filter can be updated.

An approach is disclosed for storing information tailored to a user and a condition to be accessed offline to fit on a local device. The information is retrieved from a set of online sources by a device. The retrieved information is tailored according to a criteria and the condition to form a curated data. An index is provided to access the curated data. The index is used to answer queries. Responsive to identifying a question without an answer found in the curated data when the device is off-line, searching for the answer when the device is online. Responsive to finding the answer online, pruning the curated data by eliminating lower importance data as needed to store higher importance data based on an availability of space allocated to store the curated data on the local storage device, and updating the curated data stored on the local device.

An approach is disclosed for storing information tailored to a user and a condition to be accessed offline to fit on a local device. The information is retrieved from a set of online sources by a device. The retrieved information is tailored according to a criteria and the condition to form a curated data. An index is provided to access the curated data. The index is used to answer queries. Responsive to identifying a question without an answer found in the curated data when the device is off-line, searching for the answer when the device is online. Responsive to finding the answer online, pruning the curated data by eliminating lower importance data as needed to store higher importance data based on an availability of space allocated to store the curated data on the local storage device, and updating the curated data stored on the local device.