McKesson Corporation

Technologies are provided for advanced prediction of shipping attributes of a package in a dispensing pharmacy. In some embodiments, a computing system can receive prescription data identifying one or more amounts of respective medications, and can generate, using the prescription data, an estimate of weight of a package containing the one or more amounts of the respective medications. The computing system can then cause, at a time before automated packing of the respective medications into the package, a second computing system to provide shipping data for the package. The shipping data includes first data defining a shipping label. The second computing system can be remotely located relative to the computing system. The computing system can receive the shipping data at a second time before the automated packing of the respective medications into the package, and also can store the shipping data in a storage device.

A method, apparatus and computer program product are provided for a compiled standardized measure representative of a subset of prescription transactions associated with a controlled substance. The compiled standardized measures may be used in the prescription domain to notify prescribers of a patient's morphine milligram equivalent (MME) to reduce risks related to drug overdose, abuse, and the like. Historical prescription transactions may be accessed to identify prescriptions classified as an opioid or other controlled substance, and that may likely still be in a patient's possession based upon days supply, such that a daily MME may be calculated. Messaging is provided to the prescriber if the amount exceeds a maximum threshold, and the prescription can be changed accordingly.

Provided are methods, systems, and apparatuses for improving supply chain management interfaces and functionality. The supply chain management interfaces may provide visualizations of one or more standardization constructs associated with an organization and locations thereof. A standardization construct may be generated using supply chain records associated with the organization and locations thereof. The visualizations of the one or more standardization constructs may be adjusted at a user interface. The adjusted one or more standardization constructs may be indicative of ways in which the one or more standardization constructs may be improved.

A method, apparatus, and computer program product are provided for generating predicted care coordination data objects using a machine learning-based predictive model. The model is trained to analyze complex, high-dimensional electronic health record (EHR) data to automatically estimate patient acuity levels, skilled care durations, and other care coordination parameters for scheduled appointments. These predictions are used to dynamically and prospectively update scheduling and resource allocation systems, improving operational efficiency and reducing manual workload. Unlike conventional systems or human-based methods, the disclosed system continuously adapts to evolving clinical data and care patterns, enabling real-time, data-driven decision-making. The integration of the predictive model with scheduling and allocation systems allows for automated adjustments to appointment durations, staffing levels, and resource needs, thereby enhancing care delivery and staff productivity. The system provides a scalable approach to acuity estimation thereby improving scheduling and resource allocation systems.

Systems and methods are provided for determining and communicating patient incentive information to a prescriber. The patient incentive information may adjust the patient copay amount for a prescribed medication. The patient incentive information may be determined by evaluating pharmacy identification information and medication identifiers in a received prescription benefit check transaction and/or adjudicated response to a healthcare transaction to determine if an incentive is available to be applied to the current transaction. The incentive amount may be retrieved and the patient copay amount in the adjudicated response may be amended prior to transmitting the adjudicated response to the prescriber of the medication.

A method, apparatus and computer program product are provided for utilizing accumulation records to reduce a number of transactions occurring in a network. Aggregated quantities are calculated from at least a first quantity from a first sub-system and a second quantity from the second sub-system. Preliminary amounts may be reduced based on cap amounts less the aggregated quantity, and transmission of messages to certain sub-systems may be precluded. Accumulation records may be maintained by a service provider computer on an ongoing basis. The service provider computer forwards responses that reflect a reduced preliminary amount to a requesting computer that initiated a response.

Methods, systems, and apparatuses for improved quality assurance (QA) are described herein. A computing device may provide a user interface having multiple user interface elements that allow a user of the computing device to interact with a QA system. Each of the user interface elements may be associated with one or more QA tasks for a type(s) of medical equipment. The computing device may receive input from the user via at least one of the user interface elements. The computing device may determine a completion value for at least one of the QA tasks. The computing device may send an update message indicative of the completion value for the at least one QA task.

Methods, systems, and apparatuses are described for computationally converting unstructured data into an encoded, structured representation. Methods, systems, and apparatuses are described for patient recruitment for clinical trials.

A method, apparatus and computer program product are provided for providing real-time pricing information to a patient. A patient may submit a prescription inquiry. In response to the prescription inquiry, a cash price inquiry, a prescription benefit inquiry, and a formulary alternative inquiry are generated by a service provider computer accordingly. The various inquiries may be executed by a service provider computer and/or associated systems. Responses may be further processed, such that cash price information, a patient pay amount under a benefit plan, and formulary alternatives and associated costs are included in a prescription inquiry response for provision to a patient or user.

A method, apparatus and computer program product are provided to estimate at least one target quantitative measure and a second quantitative measure based upon historical electronic messages. The historical electronic messages may be partitioned based on geographic areas. The target quantitative measure may be estimated based upon respective binary categorical indicators, and respective quantitative measures of the historical electronic messages. The target quantitative measure may be adjusted dependent upon a quantitative criterion of an entity. The target quantitative measure may be used to price prescription drugs and/or the like, and may impact prescription adherence and/or revenue of a payer and/or a drug manufacturer.