Machine learning analysis for classifying agglutination of fluid samples. A method includes scanning a unique scannable code printed on a test card, wherein the test card comprises a negative control fluid sample, a positive control fluid sample, and a test fluid sample. The method includes capturing an image of the test card and providing the image of the test card to a machine learning algorithm configured to assess agglutination of the test fluid sample based on the image. The method includes receiving from the machine learning algorithm one or more of a qualitative analysis or a quantitative analysis of the agglutination of the test fluid sample.

A system, computer program product and method for facilitating concurrent monitoring of multiple obstetrics patients over a data network are proposed. Data conveying pregnancy progression information, including maternal and fetal vital sign information associated with the obstetrics patients, is received and processed to derive criticality levels for the obstetrics patients. As a first feature, notification data related to a particular obstetrics patient may be selectively transmitted to a medical expert based on different conditions including for example an associated criticality level exceeding a threshold and/or receipt of a consultation request. As a second feature, used together or separately from the first, a graphical user interface (GUI) may present a user with an ordered list of obstetrics patients dynamically adaptable based on the criticality levels. The GUI allows a user to select an obstetrics patient from the list and then adapts the GUI to present an expanded set of pregnancy progression information related to the selected obstetrics patient. Optionally, the GUI may also provide a tool allowing the user to cause a notification to be transmitted to a medical expert over the data network.

A system, computer program product and method for facilitating concurrent monitoring of multiple obstetrics patients over a data network are proposed. Data conveying pregnancy progression information, including maternal and fetal vital sign information associated with the obstetrics patients, is received and processed to derive criticality levels for the obstetrics patients. As a first feature, notification data related to a particular obstetrics patient may be selectively transmitted to a medical expert based on different conditions including for example an associated criticality level exceeding a threshold and/or receipt of a consultation request. As a second feature, used together or separately from the first, a graphical user interface (GUI) may present a user with an ordered list of obstetrics patients dynamically adaptable based on the criticality levels. The GUI allows a user to select an obstetrics patient from the list and then adapts the GUI to present an expanded set of pregnancy progression information related to the selected obstetrics patient. Optionally, the GUI may also provide a tool allowing the user to cause a notification to be transmitted to a medical expert over the data network.

An exemplary embodiment of the present disclosure provides systems and methods for non-invasively measuring blood pressure, the system and methods comprise a wearable device having a first surface, a first sensor positioned on the first surface of the wearable device, the first sensor configured to receive a first signal, wherein the first signal is indicative of a first blood-volume change in a first vessel of a subject, a second sensor positioned within the wearable device, the second sensor configured to receive a second signal, wherein the second signal is indicative of a cardiac mechanical motion of the subject, and a processor positioned within the wearable device, the processor configured to generate an output based at least on the first signal and the second signal, the output representing a blood pressure measurement of the subject.

A facility presentation apparatus (1) includes: a selection unit (121) for selecting, as a recommended facility, at least one medical checkup facility recommended to a medical checkup target person from a plurality of medical checkup facilities based on a medical checkup information indicating a medical checkup that is related to a healthcare and that is intended to be taken by the medical checkup target person, a medical checkup facility information (1110) related to the plurality of medical checkup facilities in each of which the medical checkup can be performed and medical chart data (1220) of the medical checkup target person; and a presentation unit (122) for presenting, to a presentation target person, a recommended facility information related to the recommended facility.

A join request from a patient computing system identifies a patient, who is assigned to a waiting pool exposing each patient therein to a provider admitting computing system. An admission selection of the patient is received from the provider admitting computing system, and an audiovisual admissions teleconference between the patient computing system and the provider admitting computing system is initiated. A practitioner selection assignment from the provider admitting computing system assigns the patient to a provider practitioner, and in response, the patient is assigned to a provider practitioner pool associated with a provider practitioner computing system. The provider practitioner pool exposes each patient therein to the provider practitioner computing system. The audiovisual admissions teleconference is terminated. A first consultation selection of the patient from the first provider practitioner computing system initiates a first audiovisual consultation teleconference between the patient computing system and the provider practitioner computing system.

A system and method for performing a secure data transfer between computing devices comprise registering a resource-constrained computing device with a cloud-based computer. A client computing device generates session state information regarding the client computing device in an electronic communication exchange with at least one remote computing device. An identifier provides a location of the session state information stored at a cloud-based computer. A machine-readable code associated with the identifier is displayed for querying the cloud for the stored session state information. The resource-constrained computing device uses the machine-readable code to retrieve the session state information. The resource-constrained computing device uses the session state information to join the electronic communication exchange. Alternatively, in lieu of a machine-readable code, a cryptography process is performed, which includes generating a public cryptographic certificate associated with an immutable identifier of a portable device to be integrated in the exchange.

A system and method for performing a secure data transfer between computing devices comprise registering a resource-constrained computing device with a cloud-based computer. A client computing device generates session state information regarding the client computing device in an electronic communication exchange with at least one remote computing device. An identifier provides a location of the session state information stored at a cloud-based computer. A machine-readable code associated with the identifier is displayed for querying the cloud for the stored session state information. The resource-constrained computing device uses the machine-readable code to retrieve the session state information. The resource-constrained computing device uses the session state information to join the electronic communication exchange. Alternatively, in lieu of a machine-readable code, a cryptography process is performed, which includes generating a public cryptographic certificate associated with an immutable identifier of a portable device to be integrated in the exchange.

Disclosed is an automated pill dispenser, which provide a plurality of pill dispensing modules. The plurality of pill dispensing modules may have a first pill dispensing module and a second first pill dispensing module, and the first pill dispensing module has a first dispensing belt that dispenses a first individual pill and the second pill dispensing module having a second dispensing belt dispenses a second individual pill. One or more sensors may be used to monitor operation of the automated pill dispenser for dispensing medication by the plurality of pill dispensing modules. Also disclosed is a cloud-based resource and information tracking services for medical patients and healthcare providers and a hardware device that solves significant healthcare problems.

Disclosed is an automated pill dispenser, which provide a plurality of pill dispensing modules. The plurality of pill dispensing modules may have a first pill dispensing module and a second first pill dispensing module, and the first pill dispensing module has a first dispensing belt that dispenses a first individual pill and the second pill dispensing module having a second dispensing belt dispenses a second individual pill. One or more sensors may be used to monitor operation of the automated pill dispenser for dispensing medication by the plurality of pill dispensing modules. Also disclosed is a cloud-based resource and information tracking services for medical patients and healthcare providers and a hardware device that solves significant healthcare problems.