Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

Abstract: An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

Abstract: An example operation may include one or more of marking a document, by a user node, to be included into a collection of documents, determining, by the user node, a business process step associated with the document based on a user mark, and executing a transaction to store a hash of the document onto a ledger of a blockchain, wherein a Merkle tree hash is generated and tagged on the ledger with details of the business process step.

Abstract: An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

Abstract: An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: An example operation may include one or more of receiving one or more transaction requests to complete one or more transactions, recording the one or more transaction requests in a blockchain, requesting one or more transaction confirmations from an out-of-band device to confirm the one or more transactions, and committing the one or more confirmed transactions to the blockchain.

Abstract: An example operation may include one or more of receiving, by a document processor node, a document with a user mark over a blockchain, determining, by the document processor node, if the document is associated with a collection of documents based on the user mark, and adding the document to the collection as a part of a process step.

Abstract: An example operation may include one or more of marking a document, by a user node, to be included into a collection of documents, determining, by the user node, a business process step associated with the document based on a user mark, and executing a transaction to store a hash of the document onto a ledger of a blockchain, wherein a Merkle tree hash is generated and tagged on the ledger with details of the business process step.

Abstract: An example operation may include one or more of storing data via a blockchain ledger based on a consensus of a set of anchor blockchain nodes which are subset of nodes included in larger set of nodes in a blockchain network, receiving an access request from a blockchain member not included in the set of anchor blockchain nodes and which does not maintain a copy of the blockchain ledger, verifying a previously stored portion of the blockchain ledger which is accessible to the blockchain member based on the received access request, and sharing the previously stored portion of the blockchain ledger with the a computing system of the blockchain member based on the verification.

Abstract: An example operation may include one or more of acquiring, by a retailer node, an inventory data from a supplier node over a blockchain network, receiving, by the retailer node, outstanding orders data of the supplier node, generating, by the retailer node, an order distribution policy based on the inventory data and the outstanding orders data, and executing a smart contract to order goods from the supplier node based on the ordering policy.

Abstract: An example operation may include one or more of receiving, by a retailer node, an encrypted inventory of goods data from a plurality of supplier nodes over a blockchain network, computing, by the retailer node, an ordering proportion based on the encrypted inventory of goods data, generating, by the retailer node, an ordering policy based on the ordering proportion, and executing a smart contract to order goods from the plurality of the supplier nodes based on the ordering policy.

Abstract: An example operation may include one or more of storing data via a blockchain ledger based on a consensus of a set of anchor blockchain nodes which are subset of nodes included in larger set of nodes in a blockchain network, receiving an access request from a blockchain member not included in the set of anchor blockchain nodes and which does not maintain a copy of the blockchain ledger, verifying a previously stored portion of the blockchain ledger which is accessible to the blockchain member based on the received access request, and sharing the previously stored portion of the blockchain ledger with the a computing system of the blockchain member based on the verification.

Abstract: An example operation may include one or more of receiving one or more transaction requests to complete one or more transactions, recording the one or more transaction requests in a blockchain, requesting one or more transaction confirmations from an out-of-band device to confirm the one or more transactions, and committing the one or more confirmed transactions to the blockchain.

Abstract: Mechanisms are provided for executing patient information transactions. The mechanism store, in a ledger storage system, for each patient, a history of patient consents associated with patient transactions in a healthcare network, comprising patient consent data structures associated with the patient information transferred between participants as part of the transaction. The mechanisms store a master patient record index (MPRI) for each of the patients. The MPRI stores record locators identifying locations of portions of patient information for the patient on different computing devices associated with different health providers. The mechanisms execute, by a transaction manager, a transaction to grant access to a portion of a patient's information based on consent information stored in the ledger storage system and record locators in the MPRI. The mechanisms update, by a ledger storage engine of the data processing system, the history of transactions based on the execution of the transaction.

Abstract: Mechanisms are provided to implement secure distributed patient consent and patient information management that addresses the competing needs for efficient access to electronic medical records by authorized parties while maintaining protection of privacy of patient health related information and complying with governing regulations. The mechanisms of the illustrative embodiments implement a tamper-proof and immutable ledger storage system to manage patient consent information and distribution of patient information based on the patient consent information. The ledger storage system operates in conjunction with a master patient record index (MPRI) component to enable the exchange of patient information among health providers once consent has been granted by the patient.

Abstract: The present invention concerns methods and apparatus for identifying and assigning meaning to words not recognized by a vocabulary or grammar of a speech recognition system. In an embodiment of the invention, the word may be in an acoustic vocabulary of the speech recognition system, but may be unrecognized by an embedded grammar of a language model of the speech recognition system. In another embodiment of the invention, the word may not be recognized by any vocabulary associated with the speech recognition system. In embodiments of the invention, at least one hypothesis is generated for an utterance not recognized by the speech recognition system. If the at least one hypothesis meets at least one predetermined criterion, a sword or more corresponding to the at least one hypothesis is added to the vocabulary of the speech recognition system.