Abstract: A method for tracking duration of a remote telehealth encounter between a user computing device and a provider computing device via one or more computer networks is provided. The method includes receiving, at a telehealth control system, a signal from at least one of the user computing device or the provider computing device to initiate the remote telehealth encounter via the one or more networks, and tracking a duration of the remote telehealth encounter while both the user computing device and the provider computing device are connected to each other via the first encounter modality. The method also includes determining whether the remote telehealth encounter has ended, ending tracking of the duration of the remote telehealth encounter responsive to determining that the remote telehealth encounter has ended, and identifying a billing code based on the duration of the remote telehealth encounter.

Abstract: A system for generating a gestational disorder nourishment program comprising a computing device, the computing device configured to obtain a maternal marker, calculate a gestational phase as a function of the maternal marker, wherein calculating the gestational phase further comprises, identifying a gestational goal, and calculating the gestational phase as a function of the maternal marker and the gestational goal as a function of a gestational machine-learning model, determine an edible as a function of the gestational phase, and generate a nourishment program as a function of the edible.

Abstract: Systems and methods may include obtaining data identifying a plurality of cancelled health-related appointments for a plurality of patient records stored in a database, the cancelled health-related appointments associated with a shared health event; associating each of the plurality of patient records with a risk category from a plurality of risk categories ranging from a lowest risk to a highest risk; communicating with a client computing device associated with a patient having a cancelled health-related appointment to schedule a return appointment based at least on a risk category, the communicating including receiving current health condition information of the patient; based on the current health condition information of the patient showing symptoms consistent with symptoms associated with the shared health event, identifying the patient as a potential infected patient; and performing contact tracing based at least on people that the patient has contact with while experiencing the symptoms.

Abstract: Provided are methods for generating a workflow of a healthcare professional and methods of generating graphical user interfaces (GUI) that display the workflow of the healthcare professional. A workflow of a healthcare professional may include an ordered list of healthcare events associated with the healthcare professional. Each healthcare event in the ordered list may request the attention of the healthcare professional or may provide an indication that the healthcare professional should complete some associated work. Healthcare events may include tasks for the healthcare professional, alerts such as new lab results for patients, scheduled appointments with patients, or appointment requests from patients. The workflow may provide a healthcare professional with, in one user interface all, substantially all, or a majority of the healthcare events that the healthcare professional should be aware to perform their job.

Abstract: A system for generating a thyroid malady nourishment program includes a computing device, the computing device configured to obtain a vigor element, identify a thyroid status as a function of the vigor element, wherein producing the thyroid status further comprises obtaining a homeostatic element from a vigor database, producing a thyroid enumeration as a function of the vigor element, and identifying the thyroid status as a function of the homeostatic element and the thyroid enumeration using a status machine-learning model, determine an edible as a function of the thyroid status, and generate a nourishment program as a function of the edible.

Abstract: A computer-implemented method of providing a dosage and a transgender patient treatment lifecycle comprising receiving, by a computerized device, an input signal of a user indicating an input directed to a patient sex and a patient status, wherein the patient status is automatically determined by the processor and includes at least one of a new patient, a returning patient and a booster patient, determining by the processor at least one of an effective estradiol dosage and an effective testosterone dosage using dosage calculation methods selected based on the patient status, automated male-to-female input parameters or automated female-to-male input parameters, and male-to-female or female-to-male tracking parameters in response to receiving an input indicating that the patient sex is male-to-female or female-to-male, displaying on the display screen, the determined effective dosages, and administering a pellet comprising at least one of the determined effective dosages to the patient.

Abstract: A system and a method for management, prediction, and warning of an asthma condition of an asthma patient is provided which employ a wearable, air-quality device for collecting environmental air quality data relating to the asthma condition in the patient's ambient air, an asthma management application installed on a mobile device of the asthma patient or of a care provider of the asthma patient for collecting daily asthma symptom data for the asthma patient, and a cloud processing platform for analyzing the environmental and symptom data and preparing a next day risk report accessible via the asthma management application.

Abstract: Mechanisms are provided to hypothetical scenario evaluations with regard to infectious disease dynamics based on similar regions. A user definition of a hypothetical scenario for a target region is received which specifies scenario features affecting an infectious disease spread amongst a population within the target region. Other predefined regions, in the set of predefined regions, having similar region characteristics to the target region are identified and attributes of the other predefined regions corresponding to the scenario features are identified. Modified model parameter(s) for an infectious disease computer model are derived based on the identified attributes. An instance of the infectious disease computer model is configured with the modified model parameter(s) and the instance is executed on case report data for the target region to generate a prediction for an infectious disease spread in the target region according to the hypothetical scenario, which is then output.

Abstract: Systems and methods for identifying Good Faith Dispensing red flags, as well as evidence to support the validity of a prescriptions for any red flags, associated a patient's attempting to fill a prescription for a controlled substance based on input from pharmacists as well as patient information coordinated across a network of pharmacies are provided herein. An exemplary computer-implemented method may include receiving a request to dispense a medication prescribed to a patient, collecting information associated with the patient, and identifying, based on one or more of the medication and the information associated with the patient, one or more red flags associated with dispensing the medication to the patient. The method may further include determining, based on the one or more identified red flags associated with dispensing the medication to the patient, whether dispensing the medication to the patient would violate any regulations, and if so, preventing the dispensing of the medication to the patient.

Abstract: Users indicate possible outcomes of a medical treatment of a medical condition, a population of patients (4) to be treated, and data sources (3) for providing related health data. A smart contract (81) on a blockchain (8) comprises code (82) and an assessment data structure (83). The assessment data structure (83) defines data related to the treatment and to be collected from the data sources (3) and an assessment block (84) to be generated and stored on the blockchain (8), using the data collected during an assessment period. The assessment block (84) indicates for the assessment period the outcomes actually achieved by the treatment. The smart contract code (82) controls processors (11) to determine the efficacy of the treatment, upon an assessment block (84) being stored on the blockchain (8), using the outcomes indicated in the assessment block (84).

Abstract: A system for generating a gestational disorder nourishment program comprising a computing device, the computing device configured to obtain a maternal marker, calculate a gestational phase as a function of the maternal marker, wherein calculating the gestational phase further comprises, identifying a gestational goal, and calculating the gestational phase as a function of the maternal marker and the gestational goal as a function of a gestational machine-learning model, determine an edible as a function of the gestational phase, and generate a nourishment program as a function of the edible.