CN109616167A - Doctor based on disease circle confuses method and system - Google Patents
Doctor based on disease circle confuses method and system Download PDFInfo
- Publication number
- CN109616167A CN109616167A CN201811519690.6A CN201811519690A CN109616167A CN 109616167 A CN109616167 A CN 109616167A CN 201811519690 A CN201811519690 A CN 201811519690A CN 109616167 A CN109616167 A CN 109616167A
- Authority
- CN
- China
- Prior art keywords
- disease
- doctor
- circle
- treatment history
- disease circle
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- 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
- G16H50/70—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for mining of medical data, e.g. analysing previous cases of other patients
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H70/00—ICT specially adapted for the handling or processing of medical references
- G16H70/40—ICT specially adapted for the handling or processing of medical references relating to drugs, e.g. their side effects or intended usage
Landscapes
- Engineering & Computer Science (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- Epidemiology (AREA)
- Primary Health Care (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- Databases & Information Systems (AREA)
- Pathology (AREA)
- Biomedical Technology (AREA)
- Chemical & Material Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Medicinal Chemistry (AREA)
- Pharmacology & Pharmacy (AREA)
- Toxicology (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention provides a kind of doctor based on disease circle and confuses method and system, comprising: (1) establishes disease circle, and it is respective from surveying treatment history library and corresponding doctor member collects according to disease circle to establish each disease circle；(2) each disease circle is daily from several from survey treatment history record according to rule extraction from treatment history library is surveyed, it is desirable that doctor member's examination of this disease circle is confused, and is recorded member and checked the historical record confused；(3) experience or experience that doctor member is treated by itself audit confirmation to the treatment history record addition amending advice of survey certainly for thinking to have mistake, or by expert.By means of the present invention, it is established that a kind of doctor based on disease circle confuses method and system, for sufferer or other people provide from the accurate guarantee for surveying result, accurately to provide technical support from the data for surveying platform.
Description
Technical field
The invention belongs to computerized information field, especially relates to a kind of doctor based on disease circle and confuse method and be
System.
Background technique
Quickly, life stress is also very big, this is just that the health of people is brought very for people's lives rhythm at this stage
More secret worries.Once people's health goes wrong, first choice is hospital, but the people seen a doctor in hospital seems eternal right and wrong again
Chang Duo, even some small symptom, the process entirely seen a doctor, which is got off, to be taken a lot of time；And if when people feel to delay
Between, be unwilling hospital, only buys a little medicines according to the experience of oneself and takes, and is possible to miss golden hour again in this way, indulge in
The accidentally state of an illness.
Based on this phenomenon, if it is possible to have one people is helped to carry out disease from the information platform surveyed, it will to people
Huge help is generated, people first can carry out just the sufferer of oneself by the content of information platform, in conjunction with the situation of itself
The judgement of phase, symptom are slight, can be carried out according to the content of information platform self it is simple treat, the dangerous development of symptom
When trend, then go hospitalize.
But have from platform is surveyed, it is accurate from the result surveyed how to guarantee, how to guarantee from the data of platform are surveyed continuous
To development is correctly oriented during training adjustment, this is urgent problem.
Summary of the invention
The problem to be solved in the present invention is to design a kind of doctor based on disease circle to confuse method and system, be sufferer or its
Other people are provided from the accurate guarantee for surveying result, accurately to provide technical support from the data for surveying platform.
In order to achieve the above object, the technical scheme adopted by the invention is as follows:
A kind of doctor based on disease circle confuses method, which comprises the steps of:
(1) disease circle is established, and it is respective from surveying treatment history library and corresponding according to disease circle to establish each disease circle
Doctor member's collection；
(2) each disease circle is daily from several from survey treatment history record according to rule extraction from treatment history library is surveyed, it is desirable that this
Doctor member's examination of disease circle is confused, and is recorded member and checked the historical record confused；
(3) experience or experience that doctor member is treated by itself, to thinking to have repairing from surveying treatment history record addition for mistake
Reconstruction view, or audited and confirmed by expert.
Preferably, the method for building up of step (1) the disease circle and doctor member's collection are as follows:
(101) medical information ontology (Medical Ontology) database, i.e. MO database are established；By disease and its spy
Requisition MO terms is numbered；Each MO terms represents a vertex, the relationship directed edge table between two terms
Show, in this way indicates disease and symptom in a directed acyclic graph；
(102) one is created using drug electronic mark code as corresponding MO terms in the storage MO database of key code
Hash table MO hash；
(103) disease circle is created, the parameter of the disease circle includes:
Disease stage locating for sufferer, including just suffer from, it recurs, gentlier, seriously, early period, mid-term, the later period, I, II, the III phase,
With set J={ J1,J2,J3... } and it represents；
The drug products collection M={ M that the corresponding stage uses1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
And corresponding survey treatment history matrix D={ M, T, E, F, N, the R } certainly generated according to above- mentioned information, it is controlled as from survey
Treat Records of the Historian record；
(104) doctor member's collection is established according to the content of disease circle, doctor member collection according to doctor's practicing time, from
Industry hospital, evaluation score are classified.
Preferably, in the step (2), from the decimation rule for surveying treatment history record are as follows:
(201) according to the rank of doctor member, recording from survey treatment history for corresponding disease circle parameter is chosen；
(202) it is gradually deeply chosen from treatment history record is surveyed from just the stage is suffered from according to disease stages；
(203) record is confused according to before doctor member, judges whether to need further deeply to choose.
Further, step (3) further includes reward mechanism, and sufferer gives integral prize after adopting the amending advice of doctor member
It encourages, and the sufferer adds the doctor to be good friend automatically.
Another aspect of the present invention additionally provides a kind of doctor based on disease circle and confuses system, which is characterized in that packet
It includes:
Module is established, establishes the respective survey treatment history library certainly of each disease circle for establishing disease circle, and according to disease circle,
And corresponding doctor member's collection；
Abstraction module, for each disease circle daily from several from the survey treatment Records of the Historian according to rule extraction from treatment history library is surveyed
Record, it is desirable that doctor member's examination of this disease circle is confused, and is recorded member and checked the historical record confused；
Module is confused, for experience or experience that doctor member is treated by itself, to the survey treatment history certainly for thinking to have mistake
Record addition amending advice, or audited and confirmed by expert.
Preferably, the method for building up of module is established are as follows:
(101) medical information ontology (Medical Ontology) database, i.e. MO database are established；By disease and its spy
Requisition MO terms is numbered；Each MO terms represents a vertex, the relationship directed edge table between two terms
Show, in this way indicates disease and symptom in a directed acyclic graph；
(102) one is created using drug electronic mark code as corresponding MO terms in the storage MO database of key code
Hash table MO hash；
(103) disease circle is created, the parameter of the disease circle includes:
Disease stage locating for sufferer, including just suffer from, it recurs, gentlier, seriously, early period, mid-term, the later period, I, II, the III phase,
With set J={ J1,J2,J3... } and it represents；
The drug products collection M={ M that the corresponding stage uses1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
And corresponding survey treatment history matrix D={ M, T, E, F, N, the R } certainly generated according to above- mentioned information, it is controlled as from survey
Treat Records of the Historian record；
(104) doctor member's collection is established according to the content of disease circle, doctor member collection according to doctor's practicing time, from
Industry hospital, evaluation score are classified.
Preferably, abstraction module includes:
First selection unit chooses recording from survey treatment history for corresponding disease circle parameter according to the rank of doctor member；
Second selection unit is gradually deeply chosen according to disease stages from treatment history record is surveyed from just the stage is suffered from；
Judge selection unit, confuse record according to before doctor member, judges whether to need further deeply to choose.
Further, the module of confusing further includes reward unit, and sufferer is given after adopting the amending advice of doctor member
Reward on total mark, and the sufferer adds the doctor to be good friend automatically.
The invention has the benefit that by means of the present invention, it is established that a kind of doctor side of confusing based on disease circle
Method and system, for sufferer or other people provide from survey result accurate guarantee, for from survey platform data technology branch is accurately provided
Support.
Specific embodiment
The present invention will be further described combined with specific embodiments below.
Example of the invention:
One, disease circle data source: the emr treatment that data are provided mainly from ward mate；Doctor provide standard case and
Standard regimens；The medicine instrument information that enterprise provides.
(1) each ward mate provide disease stage locating for itself sufferer (just suffer from, recurrence, gentlier, seriously, early period, mid-term,
Later period, I, II, III phase etc., usable set J={ J1,J2,J3... } represent) and the correspondence medicine instrument product collection M that uses of stage
={ M1,M2,…,Mn(n indicate product number) and corresponding every kind of product take/use course for the treatment of T={ T1,T2,….,Tn, control
Therapeutic effect (1~5 star) E={ E1,E2,….,En, course for the treatment of drug spend F={ F1,F2,…,Fn}；The drug resistance time (takes more
Drug resistance after long-time, 0 indicates non-drug resistance, and other numerical value indicate the drug resistance time) N={ N1,N2,…,Nn}；The adverse reaction time is (i.e.
Take and adverse reaction how long occur, 0 indicates do not occur, and other numerical value indicate the adverse reaction time) R={ R1,R2,…,
Rn}。
Wherein drug device product collection will be uniquely determined according to electronic mark code, can by Hash table (hash table)
To trace back to the information such as associated production enterprise.
In this way, we just obtain, each ward mate corresponds to a treatment information matrix in the different illness stages
(Matrix) D={ M, T, E, F, N, R }, every a line represent above-mentioned correlated characteristic information aggregate and (product collection M, course for the treatment of collection T, treat
Effect collection E, expense collection F, drug resistance collection N, adverse reaction collection R).
(2) each doctor provide to different illness stage J={ J1,J2,J3... } and the drug instrument set DM that is issued
The corresponding course for the treatment of (i.e. therapeutic scheme).
(3) with the related all medicine instrument set of this disease and corresponding manufacturing enterprise, which is acquired
All drug instruments arrived, and have been dispensed into the MO terms of corresponding disease and illness in MO database.
Wherein, firstly, creation MO database:
A. disease and its feature are numbered with MO terms, each MO terms represents a vertex, two terms
Between relationship indicated with directed edge, disease and symptom are indicated in a directed acyclic graph in this way；
B. the association between vertex is divided into two types: is_a relationship and part_of relationship；Is_a relationship is a kind of simple
Inclusion relation；Part_of relationship indicates the inclusion relation of a part, and often there are many symptom to show for a kind of disease, symptom and
It is the relationship of part_of between disease, is the relationship of is_a between disease and disease, is the pass of is_a between symptom and symptom
System；
C. for the directed edge between any two terms, if the relationship of part_of, then assign weight；Weight association
Probability d is indicated；Degree of being associated d distributes (0 < d≤1) between the sub- terms that father term is associated；Wherein degree of association d
(term1, term2) indicates that the probability of the sub- symptom of term2 occurs in father's symptom term1；
D. for the directed edge between any two terms, if the relationship of is_a, then assign weight；Weight association hundred
Divide than indicating；The percentage term all sub- terms associated by father term are associated between father term and sub- terms
In there is ratio, the sum of association percentage of the sub- terms is 1.
Secondly, creation one stores corresponding MO terms in MO database using drug electronic mark code as key code
Hash table MO hash.
Two, doctor member's collection is established according to the content of disease circle, doctor member's collection is according to doctor's practicing time, working
Hospital, evaluation score are classified.From the decimation rule for surveying treatment history record are as follows:
(201) according to the rank of doctor member, recording from survey treatment history for corresponding disease circle parameter is chosen；
(202) it is gradually deeply chosen from treatment history record is surveyed from just the stage is suffered from according to disease stages；
(203) record is confused according to before doctor member, judges whether to need further deeply to choose.
Doctor member participates in confusing, and checks in database treatment history identical with doctor's disease circle and points out it
Improper place in terms of medication, patient gives reward on total mark after adopting, and the patient adds the doctor to be good friend automatically.
The above is only a specific embodiment of the present invention, is not intended to limit the scope of protection of the present invention, it is all
Within the spirit and principles in the present invention, any modification, equivalent substitution, improvement and etc. done should be included in protection of the invention
Within the scope of.
Claims (8)
1. a kind of doctor based on disease circle confuses method, which comprises the steps of:
(1) disease circle is established, and each disease circle respective survey treatment history library and corresponding doctor certainly are established according to disease circle
Member's collection；
(2) each disease circle is daily from several from survey treatment history record according to rule extraction from treatment history library is surveyed, it is desirable that this disease
Doctor member's examination of circle is confused, and is recorded member and checked the historical record confused；
(3) experience or experience that doctor member is treated by itself, to thinking to have building from surveying treatment history record addition modification for mistake
View, or audited and confirmed by expert.
2. the method according to claim 1, wherein the foundation of step (1) the disease circle and doctor member's collection
Method are as follows:
(101) medical information ontology (Medical Ontology) database, i.e. MO database are established；Disease and its feature are used
MO terms is numbered；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge, this
Sample indicates disease and symptom in a directed acyclic graph；
(102) one is created using drug electronic mark code as the Hash of corresponding MO terms in the storage MO database of key code
Table MO hash；
(103) disease circle is created, the parameter of the disease circle includes:
Disease stage locating for sufferer, including just suffer from, it recurs, gentlier, seriously, early period, mid-term, the later period, I, II, the III phase, with collection
Close J={ J1,J2,J3... } and it represents；
The drug products collection M={ M that the corresponding stage uses1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
And corresponding survey treatment history library D={ M, T, E, F, N, R } certainly generated according to above- mentioned information, as the survey treatment Records of the Historian certainly
Record；
(104) doctor member's collection is established according to the content of disease circle, doctor member's collection is cured according to doctor's practicing time, working
Institute, evaluation score are classified.
3. the method according to claim 1, wherein being advised in the step (2) from the extraction for surveying treatment history record
Then are as follows:
(201) according to the rank of doctor member, recording from survey treatment history for corresponding disease circle parameter is chosen；
(202) it is gradually deeply chosen from treatment history record is surveyed from just the stage is suffered from according to disease stages；
(203) record is confused according to before doctor member, judges whether to need further deeply to choose.
4. sufferer adopts doctor's meeting the method according to claim 1, wherein step (3) further includes reward mechanism
Reward on total mark is given after the amending advice of member, and the sufferer adds the doctor to be good friend automatically.
5. a kind of doctor based on disease circle confuses system characterized by comprising
Module is established, establishes the respective survey treatment history library certainly of each disease circle for establishing disease circle, and according to disease circle, and
Corresponding doctor member's collection；
Abstraction module surveys treatment history record according to rule extraction is several from from survey treatment history library daily for each disease circle certainly,
It is required that doctor member's examination of this disease circle is confused, and records member and check the historical record confused；
Module is confused, for experience or experience that doctor member is treated by itself, to the treatment history record of survey certainly for thinking to have mistake
Amending advice is added, or is audited and is confirmed by expert.
6. system according to claim 5, which is characterized in that establish the method for building up of module are as follows:
(101) medical information ontology (Medical Ontology) database, i.e. MO database are established；Disease and its feature are used
MO terms is numbered；Each MO terms represents a vertex, and the relationship between two terms is indicated with directed edge, this
Sample indicates disease and symptom in a directed acyclic graph；
(102) one is created using drug electronic mark code as the Hash of corresponding MO terms in the storage MO database of key code
Table MO hash；
(103) disease circle is created, the parameter of the disease circle includes:
Disease stage locating for sufferer, including just suffer from, it recurs, gentlier, seriously, early period, mid-term, the later period, I, II, the III phase, with collection
Close J={ J1,J2,J3... } and it represents；
The drug products collection M={ M that the corresponding stage uses1,M2,…,Mn, n indicates product number；
And course for the treatment of T={ T is taken/used to corresponding every kind of product1,T2,….,Tn}；
And corresponding every kind of product therapeutic effect E={ E1,E2,….,En}；
And corresponding course for the treatment of drug spends F={ F1,F2,…,Fn}；
And corresponding drug resistance time N={ N1,N2,…,Nn}；
And corresponding adverse reaction time R={ R1,R2,…,Rn}；
And corresponding survey treatment history library D={ M, T, E, F, N, R } certainly generated according to above- mentioned information, as the survey treatment Records of the Historian certainly
Record；
(104) doctor member's collection is established according to the content of disease circle, doctor member's collection is cured according to doctor's practicing time, working
Institute, evaluation score are classified.
7. system according to claim 5, which is characterized in that abstraction module includes:
First selection unit chooses recording from survey treatment history for corresponding disease circle parameter according to the rank of doctor member；
Second selection unit is gradually deeply chosen according to disease stages from treatment history record is surveyed from just the stage is suffered from；
Judge selection unit, confuse record according to before doctor member, judges whether to need further deeply to choose.
8. system according to claim 5, which is characterized in that the module of confusing further includes reward unit, and sufferer is adopted
Reward on total mark is given after the amending advice of doctor member, and the sufferer adds the doctor to be good friend automatically.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811519690.6A CN109616167A (en) | 2018-12-12 | 2018-12-12 | Doctor based on disease circle confuses method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811519690.6A CN109616167A (en) | 2018-12-12 | 2018-12-12 | Doctor based on disease circle confuses method and system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109616167A true CN109616167A (en) | 2019-04-12 |
Family
ID=66008224
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811519690.6A Pending CN109616167A (en) | 2018-12-12 | 2018-12-12 | Doctor based on disease circle confuses method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109616167A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040117346A1 (en) * | 2002-09-20 | 2004-06-17 | Kilian Stoffel | Computer-based method and apparatus for repurposing an ontology |
| CN103955608A (en) * | 2014-04-24 | 2014-07-30 | 上海星华生物医药科技有限公司 | Intelligent medical information remote processing system and processing method |
| CN104484844A (en) * | 2014-12-30 | 2015-04-01 | 天津迈沃医药技术有限公司 | Self-diagnosis method based on disease circle data information |
| CN105678065A (en) * | 2015-12-31 | 2016-06-15 | 天津迈沃医药技术有限公司 | Disease self-diagnosing knowledge questioning and answering method and system based on disease circles |
| CN105678066A (en) * | 2015-12-31 | 2016-06-15 | 天津迈沃医药技术有限公司 | Disease self-diagnosing method and system for completing data training based on user feedback information |
| CN106777966A (en) * | 2016-12-13 | 2017-05-31 | 天津迈沃医药技术股份有限公司 | Data interactive training method and system based on medical information platform |
| CN107993698A (en) * | 2017-12-21 | 2018-05-04 | 广州宝荣科技应用有限公司 | Long-range helping way of inquisition and system |
-
2018
- 2018-12-12 CN CN201811519690.6A patent/CN109616167A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040117346A1 (en) * | 2002-09-20 | 2004-06-17 | Kilian Stoffel | Computer-based method and apparatus for repurposing an ontology |
| CN103955608A (en) * | 2014-04-24 | 2014-07-30 | 上海星华生物医药科技有限公司 | Intelligent medical information remote processing system and processing method |
| CN104484844A (en) * | 2014-12-30 | 2015-04-01 | 天津迈沃医药技术有限公司 | Self-diagnosis method based on disease circle data information |
| CN105678065A (en) * | 2015-12-31 | 2016-06-15 | 天津迈沃医药技术有限公司 | Disease self-diagnosing knowledge questioning and answering method and system based on disease circles |
| CN105678066A (en) * | 2015-12-31 | 2016-06-15 | 天津迈沃医药技术有限公司 | Disease self-diagnosing method and system for completing data training based on user feedback information |
| CN106777966A (en) * | 2016-12-13 | 2017-05-31 | 天津迈沃医药技术股份有限公司 | Data interactive training method and system based on medical information platform |
| CN107993698A (en) * | 2017-12-21 | 2018-05-04 | 广州宝荣科技应用有限公司 | Long-range helping way of inquisition and system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Woods et al. | Cognitive stimulation to improve cognitive functioning in people with dementia | |
| Leeman et al. | Developing a theory‐based taxonomy of methods for implementing change in practice | |
| Brady et al. | Speech and language therapy for aphasia following stroke | |
| Terrell et al. | Computerized decision support to reduce potentially inappropriate prescribing to older emergency department patients: a randomized, controlled trial | |
| Kramer et al. | Ensuring medical device effectiveness and safety: a cross-national comparison of approaches to regulation | |
| Ruppar et al. | Self‐care interventions for adults with heart failure: A systematic review and meta‐analysis protocol | |
| Shever | The impact of nursing surveillance on failure to rescue | |
| Lin et al. | Virtual reality training for cataract surgery operating performance in ophthalmology trainees | |
| Dokbua et al. | Effects of an asthma self-management support service provided by community pharmacists: a systematic review and meta-analysis | |
| Stevens et al. | Effectiveness of general practice-based physical activity promotion for older adults: systematic review | |
| Bethell | Cardiac rehabilitation: from Hellerstein to the millennium | |
| Cohen et al. | A national survey concerning the ethical aspects of informed consent and role of medical students | |
| CN105678065B (en) | Disease autodiagnosis knowledge question answering method and system based on disease circle | |
| Guo et al. | Measurements of self-efficacy in patients with chronic kidney disease: a literature review. | |
| Gagnier et al. | Development, implementation and evaluation of a patient handoff tool to improve safety in orthopaedic surgery | |
| Rao et al. | Postmarket evaluation of breakthrough technologies | |
| Choi et al. | The establishment of the Korean medical device safety information monitoring center: reviewing ten years of experience | |
| Kremer et al. | A study of clinical decision making by certified registered nurse anesthetists. | |
| CN109616167A (en) | Doctor based on disease circle confuses method and system | |
| Park et al. | Effects of a cognition‐oriented breast self‐examination intervention for Korean women and their spouses | |
| Schuh et al. | Pharmacist impact on tacrolimus serum concentrations in liver transplant patients | |
| CN110491458A (en) | A kind of hypertension nursing system and method | |
| CN109360651A (en) | Treatment history statistics generation method and system based on disease circle | |
| Langton et al. | A critical appraisal of the literature on the effects of computer-based clinical decision support systems on clinician performance and patient outcomes. | |
| Seagrave et al. | Data quality audit of the arthroplasty clinical outcomes registry NSW |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190412 |