CN111091900A - Medical grading diagnosis and treatment method and system based on block chain intelligent contracts - Google Patents
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- 230000036541 health Effects 0.000 claims description 4
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- 230000001105 regulatory effect Effects 0.000 claims description 2
- WIHIUTUAHOZVLE-UHFFFAOYSA-N 1,3-diethoxypropan-2-ol Chemical compound CCOCC(O)COCC WIHIUTUAHOZVLE-UHFFFAOYSA-N 0.000 claims 1
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- G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
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Abstract
The invention discloses a medical grading diagnosis and treatment method and a system based on a block chain intelligent contract, which relate to the technical field of medical information systems and comprise an initialization block chain system, a block chain core service program is deployed in a supervision organization and each grade of triage hospitals, and the supervision organization and the triage hospitals are added into a block chain to form a block chain network node; installing intelligent contracts in a triage hospital and a supervision institution and realizing instantiation of intelligent contract codes; when a patient goes to one of the first-level triage hospitals for medical diagnosis, the first-level triage hospitals record medical record information into an in-hospital system, the medical record information is synchronized to a block chain, whether the patient meets a referral condition is judged through an intelligent contract, if the patient meets the referral condition, the intelligent contract takes effect immediately, the patient conducts referral, and if the patient does not meet the referral condition, the first-level triage hospital treats the patient.
Description
Technical Field
The invention relates to the technical field of medical information systems, in particular to a medical grading diagnosis and treatment method and system based on a block chain intelligent contract.
Background
The grading diagnosis and treatment refers to grading according to the degree of urgency of diseases and the difficulty of treatment, and medical institutions of different grades undertake treatment of different diseases, so that the medical process from the whole department to the specialization is gradually realized.
The current hierarchical diagnosis and treatment system is scheduled by a traditional information system, whether a patient is transferred is basically determined by a single hospital, the decision-making is usually performed by a superior hospital, meanwhile, the condition of whether the patient is transferred is also usually subjective judgment, and even if a computer program is used as assistance, the decision-making is still human.
Currently, most hospitals adopt the following two ways to make referral judgment:
1. the medical system manager subjectively determines whether to conduct referral according to the illness state of the patient;
2. according to the program and algorithm defined in the computer system, the computer can judge and automatically make referral;
however, the two modes have the problem of artificial dominance, and for the mode 1, the mode is completely dominated by people, the subjective judgment is too strong, and many non-objective factors may influence the judgment of people; with respect to the 2 nd approach, though it seems to be objective, the procedure for realizing referral is often deployed in a hospital with decision right, and the fairness is still insufficient.
Disclosure of Invention
The invention aims to: the invention provides a medical grading diagnosis and treatment method and system based on a block chain intelligent contract, and aims to solve the problem that the existing grading diagnosis and treatment adopts a traditional information system for scheduling, artificial subjective factors exist, and fairness is lacked.
The invention specifically adopts the following technical scheme for realizing the purpose:
a medical grading diagnosis and treatment method based on a block chain intelligent contract comprises the following steps:
initializing a block chain system, respectively deploying block chain core service programs in a supervisory organization and each level of triage hospitals, and then adding the supervisory organization deployed with the block chain core service programs and each level of triage hospitals into a block chain to form a block chain network node;
installing intelligent contracts with referral conditions set in each stage of triage hospitals and supervision institutions and realizing intelligent contract code instantiation;
when a patient goes to one of the first-level diagnosis hospitals for medical diagnosis, the first-level diagnosis hospitals record medical record information into an in-hospital system associated with the block chain core service program, the medical record information is synchronized to the block chain, whether the patient meets referral conditions is judged through an intelligent contract of the first-level diagnosis hospitals, if yes, the intelligent contract takes effect immediately, the patient is referred, and if not, the first-level diagnosis hospitals treat the patient.
Furthermore, the blockchain core service programs deployed in the supervision institution and each-level triage hospital comprise a peer server program and a peer client program, wherein the peer client program is used for proposing requirements to the peer server program and requiring the peer server program to submit data to the blockchain network; and the peer server program synchronizes data and intelligent contracts in the blockchain network according to the requirements of the peer client program and executes the intelligent contracts when the referral conditions are met.
Furthermore, doctor workstations are deployed on doctors of all levels of triage hospitals, each doctor workstation is provided with an appparent program, the appparent program is used for realizing communication between the in-hospital system and the peer client program, and the appparent program submits a block chain network data modification request to the peer client program.
Furthermore, the in-hospital system is an HIS system, when the triage hospital records medical record information into the in-hospital system, an electronic medical record is created for the patient, a doctor records relevant data of the electronic medical record of the patient in the HIS system, the HIS system submits the relevant data to the peer client program through the appClient program, and the peer client program requests the peer server program to synchronize the relevant data to the block chain for an intelligent contract to judge.
Furthermore, the intelligent contract is effective, and when a patient is subjected to referral, the patient has two referral situations, wherein the first referral situation is from a current-level referral hospital to a superior triage hospital, and the second referral situation is from the current-level referral hospital to a subordinate triage hospital.
Furthermore, when the referral condition is not met, the current level diagnosis hospital continuously supervises the rehabilitation condition of the patient during the treatment of the patient by the intelligent contract, and once the referral condition is reached, the intelligent contract takes effect immediately.
A system of a medical grading diagnosis and treatment method based on a block chain intelligent contract comprises a supervision mechanism and all grades of triage hospitals, wherein a block chain core service program is deployed on the supervision mechanism, the supervision mechanism and all grades of triage hospitals form a block chain network node, each grade of triage hospital is provided with an instantiated intelligent contract with a referral condition, and relevant data of a patient is judged through the intelligent contract to judge whether the patient meets the referral condition.
Further, the triage hospitals at all levels comprise a health hospital, a diethyl hospital and a trimethyl hospital.
Further, the regulatory agency is used to ensure that the intelligent contract is written in accordance with referral rules.
The invention has the following beneficial effects:
1. the invention strictly controls the referral condition and the objectivity and fairness of referral judgment through an intelligent contract and a block chain network, a strong consensus mechanism and strong consistency, avoids the influence of artificial subjective factors, realizes real intelligent decision and strict decision and enables patients to obtain the most scientific referral treatment.
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FIG. 1 is a schematic process flow diagram of an embodiment of the present invention.
Detailed Description
For a better understanding of the present invention by those skilled in the art, the present invention will be described in further detail below with reference to the accompanying drawings and the following examples.
Example 1
As shown in fig. 1, the present embodiment provides a medical graded diagnosis and treatment method based on a block chain intelligent contract, including:
initializing a block chain system, and respectively deploying block chain core service programs in a supervision institution and each level of triage hospitals, wherein in the embodiment, each level of triage hospitals comprise a health hospital, a secondary hospital and a tertiary hospital, and then adding the supervision institution deployed with the block chain core service programs and each level of triage hospitals into a block chain to form a block chain network node;
specifically, the blockchain core service programs deployed in the supervision institution and each-level triage hospital comprise a peer server program and a peer client program, wherein the peer client program is used for proposing requirements to the peer server program and requiring the peer server program to submit data to the blockchain network; the peer server program synchronizes data and intelligent contracts in the block chain network according to the requirements of the peer client program and executes the intelligent contracts when the referral conditions are met; doctors in all levels of triage hospitals are all provided with doctor workstations, each doctor workstation is provided with an appparent program, the appparent program is used for realizing communication between a system in the hospital and a peer client program, and the appparent program submits a block chain network data modification request to the peer client program;
installing intelligent contracts with referral conditions set in each stage of triage hospitals and supervision institutions and realizing intelligent contract code instantiation; the referral conditions in this embodiment are set manually, specifically, cooperatively agreed according to the local management department and the relevant health institution, for example, what conditions the patient will achieve will be referred from the subordinate hospital to the superior hospital; or conversely, from a higher-level hospital to a lower-level hospital, etc.;
when a patient goes to one of the first-level diagnosis hospitals for medical diagnosis, the first-level diagnosis hospitals record medical record information into an in-hospital system associated with a block chain core service program, the medical record information is synchronized to the block chain, whether the patient meets referral conditions is judged through an intelligent contract of the first-level diagnosis hospitals, if yes, the intelligent contract takes effect immediately, the patient is referred, and if not, the first-level diagnosis hospitals treat the patient;
the hospital system is an HIS system, when a triage hospital records medical record information into the hospital system, an electronic medical record is created for a patient, a doctor records relevant data of the electronic medical record of the patient in the HIS system, the relevant data comprise basic information of the patient and diagnosis information of the patient, such as professional data of blood sugar, blood pressure and the like, the HIS system submits the relevant data to a peer client program through an appClient program, and the peer client program requests the peer server program to synchronize the relevant data to a block chain for an intelligent contract to judge.
The intelligent contract takes effect, and when a patient is subjected to referral, the patient has two referral situations, wherein the first referral situation is from a current level referral hospital to a superior triage hospital, and the second referral situation is from the current level referral hospital to a subordinate triage hospital; when the patient is not met with the referral condition, the current level diagnosis hospital continuously supervises the rehabilitation condition of the patient in the process of treating the patient by the intelligent contract, and once the referral condition is met, the intelligent contract takes effect immediately.
Based on the method, the embodiment also provides a system of a medical graded diagnosis and treatment method based on the block chain intelligent contract, which comprises a supervision mechanism and all levels of triage hospitals, wherein the supervision mechanism is deployed with a block chain core service program, the supervision mechanism and all levels of triage hospitals form a block chain network node, all levels of triage hospitals are provided with instantiated intelligent contracts with referral conditions set, relevant data of a patient are judged through the intelligent contracts, and whether the patient meets the referral conditions is judged; the monitoring mechanism is used for ensuring that the intelligent contract is compiled to be consistent with the referral rule, and when no block chain or intelligent contract exists in the early period, the monitoring mechanism can only check whether the referral rule is violated or not through human intervention, such as later-stage examination of partial referral or non-referral patients; after the intelligent contract exists, the supervision mechanism only needs to determine whether the intelligent contract is compiled to be consistent with the referral rule, because the intelligent contract can be automatically executed and cannot be manually intervened or evaded as long as the intelligent contract is consistent with the referral rule;
the most different between intelligent contracts and human judgment is that intelligent contracts are computer programs and can be executed strictly according to established rules, and the intelligent contracts have the highest transparency and can be completely seen by all blockchain network nodes. However, the manual control mode before the intelligent contract involves benefits and human factors, which can cause subjective influence on referral behaviors, for example, a hospital hides the condition of a patient to be referred to without referral for benefits, so that the present embodiment can strictly control referral conditions and objectivity and fairness of referral judgment, avoid the influence of human subjective factors, realize real intelligent decision and strict decision, and enable the patient to obtain the most scientific referral treatment.
The above description is only a preferred embodiment of the present invention, and not intended to limit the present invention, the scope of the present invention is defined by the appended claims, and all structural changes that can be made by using the contents of the description and the drawings of the present invention are intended to be embraced therein.
Claims (9)
1. A medical grading diagnosis and treatment method based on a block chain intelligent contract is characterized by comprising the following steps:
initializing a block chain system, respectively deploying block chain core service programs in a supervisory organization and each level of triage hospitals, and then adding the supervisory organization deployed with the block chain core service programs and each level of triage hospitals into a block chain to form a block chain network node;
installing intelligent contracts with referral conditions set in each stage of triage hospitals and supervision institutions and realizing intelligent contract code instantiation;
when a patient goes to one of the first-level diagnosis hospitals for medical diagnosis, the first-level diagnosis hospitals record medical record information into an in-hospital system associated with the block chain core service program, the medical record information is synchronized to the block chain, whether the patient meets referral conditions is judged through an intelligent contract of the first-level diagnosis hospitals, if yes, the intelligent contract takes effect immediately, the patient is referred, and if not, the first-level diagnosis hospitals treat the patient.
2. The medical grading diagnosis and treatment method based on the blockchain intelligent contract according to claim 1, wherein the blockchain core service programs deployed in the supervision institution and each-level triage hospital comprise a peer server program and a peer client program, wherein the peer client program is used for making a request to the peer server program and making the peer server program submit data to a blockchain network; and the peer server program synchronizes data and intelligent contracts in the blockchain network according to the requirements of the peer client program and executes the intelligent contracts when the referral conditions are met.
3. The medical graded diagnosis and treatment method based on the block chain intelligent contract according to claim 2, characterized in that doctors in each grade of triage hospitals are respectively provided with a doctor workstation, each doctor workstation is provided with an appparent program, the appparent program is used for realizing communication between an in-hospital system and a peer client program, and the appparent program submits a block chain network data modification request to the peer client program.
4. The medical graded diagnosis and treatment method based on the block chain intelligent contract according to claim 3, characterized in that the in-hospital system is an HIS system, when a triage hospital records medical record information into the in-hospital system, an electronic medical record is created for a patient, a doctor records relevant data of the electronic medical record of the patient in the HIS system, the HIS system submits the relevant data to a peer client program through an appClient program, and the peer client program requests the peer server program to synchronize the relevant data to the block chain for the intelligent contract to judge.
5. The medical grading diagnosis and treatment method based on the blockchain intelligent contract according to claim 1, wherein the intelligent contract is effective, and when a patient makes a referral, the patient has two referral situations, wherein the first referral situation is a referral from a current-level diagnosis hospital to an upper-level diagnosis hospital, and the second referral situation is a referral from the current-level diagnosis hospital to a lower-level diagnosis hospital.
6. The medical grading diagnosis and treatment method based on the block chain intelligent contract as claimed in claim 5, wherein when the referral condition is not met, the current grading diagnosis hospital continuously supervises the recovery condition of the patient during the treatment of the patient, and once the referral condition is reached, the intelligent contract takes effect immediately.
7. A system based on the medical hierarchical diagnosis and treatment method of claim 1 is characterized by comprising a supervision institution and all levels of triage hospitals, wherein the supervision institution is provided with a blockchain core service program, the supervision institution and all levels of triage hospitals form blockchain network nodes, each level of triage hospitals are provided with instantiated intelligent contracts with referral conditions set, and relevant data of a patient is judged through the intelligent contracts to judge whether the patient meets the referral conditions.
8. The system of claim 7, wherein the triage hospitals comprise a health hospital, a diethylin hospital and a salon hospital.
9. The system of claim 7, wherein the regulatory agency is configured to ensure that intelligent contracts are written in compliance with referral rules.
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Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112951394A (en) * | 2021-03-10 | 2021-06-11 | 中电健康云科技有限公司 | Method for hospital triage and medical examination item prediction based on deep learning |
| CN113555110A (en) * | 2021-07-15 | 2021-10-26 | 北京鹰瞳科技发展股份有限公司 | Method and equipment for training multi-disease referral model |
| CN113592688A (en) * | 2021-07-30 | 2021-11-02 | 工银科技有限公司 | Diagnosis and treatment information processing method and device based on block chain and electronic equipment |
| CN113593691A (en) * | 2021-10-08 | 2021-11-02 | 青岛美迪康数字工程有限公司 | Medical data sharing system and method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339587A (en) * | 2008-08-11 | 2009-01-07 | 中国网络通信集团公司 | Method and system for bidirectionally transfering consultation |
| CN102281161A (en) * | 2011-09-15 | 2011-12-14 | 浙江大学 | Multi-agent virtual private network (VPN) tunnel concurrent testing system and multi-agent load balancing method |
| US20170039330A1 (en) * | 2015-08-03 | 2017-02-09 | PokitDok, Inc. | System and method for decentralized autonomous healthcare economy platform |
| CN106934243A (en) * | 2017-03-17 | 2017-07-07 | 北京好运到信息科技有限公司 | A kind of electronic health record management method and system |
| CN110210234A (en) * | 2019-04-23 | 2019-09-06 | 平安科技(深圳)有限公司 | The moving method of medical information, device, computer equipment and storage medium when changing the place of examination |
| CN110210961A (en) * | 2019-05-21 | 2019-09-06 | 平安普惠企业管理有限公司 | Data capture method, server and computer storage medium based on alliance's chain |
| CN110401656A (en) * | 2019-07-24 | 2019-11-01 | 西安纸贵互联网科技有限公司 | Block chain management system |
| US20190355472A1 (en) * | 2018-05-18 | 2019-11-21 | John D. Kutzko | Computer-implemented system and methods for predicting the health and therapeutic behavior of individuals using artificial intelligence, smart contracts and blockchain |
-
2019
- 2019-11-25 CN CN201911163983.XA patent/CN111091900A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101339587A (en) * | 2008-08-11 | 2009-01-07 | 中国网络通信集团公司 | Method and system for bidirectionally transfering consultation |
| CN102281161A (en) * | 2011-09-15 | 2011-12-14 | 浙江大学 | Multi-agent virtual private network (VPN) tunnel concurrent testing system and multi-agent load balancing method |
| US20170039330A1 (en) * | 2015-08-03 | 2017-02-09 | PokitDok, Inc. | System and method for decentralized autonomous healthcare economy platform |
| CN108475397A (en) * | 2015-08-03 | 2018-08-31 | 口袋医生公司 | Systems and methods for a decentralized autonomous healthcare economic platform |
| CN106934243A (en) * | 2017-03-17 | 2017-07-07 | 北京好运到信息科技有限公司 | A kind of electronic health record management method and system |
| US20190355472A1 (en) * | 2018-05-18 | 2019-11-21 | John D. Kutzko | Computer-implemented system and methods for predicting the health and therapeutic behavior of individuals using artificial intelligence, smart contracts and blockchain |
| CN110210234A (en) * | 2019-04-23 | 2019-09-06 | 平安科技(深圳)有限公司 | The moving method of medical information, device, computer equipment and storage medium when changing the place of examination |
| CN110210961A (en) * | 2019-05-21 | 2019-09-06 | 平安普惠企业管理有限公司 | Data capture method, server and computer storage medium based on alliance's chain |
| CN110401656A (en) * | 2019-07-24 | 2019-11-01 | 西安纸贵互联网科技有限公司 | Block chain management system |
Non-Patent Citations (6)
| Title |
|---|
| 凌锋: "《一本书读懂区块链》", 31 July 2018, 台海出版社 * |
| 刘立: "基于区块链技术的分级诊疗系统设计与实现", 《中国优秀硕士学位论文全文数据库 医药卫生科技辑》 * |
| 徐健 等: "基于区块链网络的医疗记录安全储存访问方案", 《计算机应用》 * |
| 徐洪彬: "《数字化医院系统工程》", 30 June 2013, 东南大学出版社 * |
| 马永仁: "《区块链原理及应用》", 30 June 2019, 中国铁道出版社 * |
| 黄敬英 等: "区块链技术在医联体建设中的应用探讨", 《医学信息学杂志》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112951394A (en) * | 2021-03-10 | 2021-06-11 | 中电健康云科技有限公司 | Method for hospital triage and medical examination item prediction based on deep learning |
| CN113555110A (en) * | 2021-07-15 | 2021-10-26 | 北京鹰瞳科技发展股份有限公司 | Method and equipment for training multi-disease referral model |
| CN113592688A (en) * | 2021-07-30 | 2021-11-02 | 工银科技有限公司 | Diagnosis and treatment information processing method and device based on block chain and electronic equipment |
| CN113593691A (en) * | 2021-10-08 | 2021-11-02 | 青岛美迪康数字工程有限公司 | Medical data sharing system and method |
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