CN109472519A - A method of building hospital infection control measure Cost benefit assessment model - Google Patents
A method of building hospital infection control measure Cost benefit assessment model Download PDFInfo
- Publication number
- CN109472519A CN109472519A CN201811521841.1A CN201811521841A CN109472519A CN 109472519 A CN109472519 A CN 109472519A CN 201811521841 A CN201811521841 A CN 201811521841A CN 109472519 A CN109472519 A CN 109472519A
- Authority
- CN
- China
- Prior art keywords
- cost
- infection
- control measure
- hospital
- benefit
- 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
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06313—Resource planning in a project environment
-
- 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
- G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
- G16H40/20—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the management or administration of healthcare resources or facilities, e.g. managing hospital staff or surgery rooms
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Health & Medical Sciences (AREA)
- Entrepreneurship & Innovation (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Biodiversity & Conservation Biology (AREA)
- Biomedical Technology (AREA)
- Development Economics (AREA)
- Primary Health Care (AREA)
- Epidemiology (AREA)
- Medical Informatics (AREA)
- Public Health (AREA)
- General Health & Medical Sciences (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Medical Treatment And Welfare Office Work (AREA)
Abstract
The present invention provides a kind of method for constructing hospital infection control measure Cost benefit assessment model, belongs to field of medical technology.By establishing single type nosocomial infection direct medical cost model, calculate the Project Cost that nosocomial infection direct medical cost is included, call the infected patient file administration interface of SaaS service platform, establish mood profile, recall the medical act integrated service interface of SaaS service platform, physician practice and patient's cost data are subjected to Auto-matching, calculate the direct medical cost that patient generates by nosocomial infection；The nosocomial infection case number of control measure reduction in some cycles is calculated further according to P1 and P2, to calculate the direct medical cost, that is, direct benefit saved by control measure；It is calculated to hospital infection control measure input cost is implemented；Benefit-cost ratio=direct benefit/hospital infection control measure the input cost for implementing hospital infection control measure is calculated again, and cost-effectiveness is evaluated.
Description
Technical field
The invention belongs to field of medical technology, and in particular to a kind of building hospital infection control measure Cost benefit assessment mould
The method of type.
Background technique
Nosocomial infection has become the present age serious social concern, it not only threatens the health and lives of patient, but also to disease
People and society cause huge economic loss.There is investigation to show, nosocomial infection needs more drugs, treatment, nursing and chemical examination
It checks, in particular for using the type and quantity of more antibiotic, while extending patient's hospital stays.This not only increases patient
Pain and financial burden, and increase the workload of medical staff, influence the turnover rate of hospital bed, waste valuable medicine money
Source.It is reported that being 500,000,000-10 hundred million marks in the spending that Germany is used for nosocomial infection every year." the hospital of the chief editors such as Wang Shuqun
Infection is learned " it records, economic loss caused by the annual nosocomial infection in the U.S. is more than 4,000,000,000 Guan Yuan.It is pushed away by the infection rate in China
It calculates, every year because of 10,000,000,000 RMB of nosocomial infection cost, far beyond the annual hygiene industry investment in China, and thinks nosocomial infection
Prevention and control be very urgent.With the in-depth of modern medical techniques being constantly progressive with medical system reform, especially
It is the promotion and implementation of medical insurance system, the prevention and control and management of nosocomial infection have increasingly caused the weight of hospital administrators
Depending on because loss minimizes caused by nosocomial infection being to be worth research and project with realistic meaning patient and hospital.It opens
The research and prevention and treatment for opening up nosocomial infection, will obtain huge Social benefit and economic benefit.
With the continuous improvement of medical expense, policymaker is when carrying out health care decision, to Clinical efficacy and economy
The dependence of benefit is increasing.There is abundant reason to carry out economic analysis: in the case where inadequate resource, to how using this
The problem of a little resources, it is necessary to make a choice.When assessing New Measure, traditional focus includes safety (side effect
Whether it is subjected to), the analysis of feasibility (can it play a role) and validity (its function and effect are how).When evaluating one kind
When the value of New Measure, it is still considered as " benefit " this basic economic technics.A kind of New Measure bring benefit, facilitates
It answers because taking the additional investment of the measure to be compared with result obtained, if worth problem.Have it is several not
The economic analysis of same type is for use, including minimization of cost, cost-effectiveness, input and output and cost-effectiveness analysis.At
This minimumization (determination can obtain equifinality but the minimum method of cost) seldom application, because of the knot of difference clinical intervention measure
Fruit is seldom with uniformity.
Existing nosocomial infection cost benefit estimation method is because without establishing single type nosocomial infection direct medical cost number
According to library, so can not accurately be calculated to the direct medical cost of a certain nosocomial infection type.
Summary of the invention
The present invention solves existing by providing a kind of method for constructing hospital infection control measure Cost benefit assessment model
There is hospital infection control measure to put into the process of implementation, output calculate it is fuzzy, can not be to hospital infection control measure carry out section
The problem of learning evaluation.
To achieve the above object, the technical solution of the invention is as follows:
A method of building hospital infection control measure Cost benefit assessment model, comprising the following steps:
S1: single type nosocomial infection direct medical cost model is established, a certain specific people from lesion is selected in medical institutions
Group carries out Prospective Surveillance to its nosocomial infection incidence；
S2: to the patient that nosocomial infection has occurred, by calling the infection of hospital's sensing control workplace SaaS service platform to suffer from
Person's file administration interface, establishes mood profile, archive content include: patient basis, for the first time diagnostic message, treatment information,
Medication information, total cost information, infection correlative charges information, infection anticipation class information；
S3: all physician practices relevant to infection that patient occurs after nosocomial infection for doctor record；
S4: by call sensing control workplace SaaS service platform medical act integrated service interface, by physician practice with
Patient's cost data carry out Auto-matching, the interface by by institute in HIS system expense detailed data and diagnosis and treatment detail number
Cost data in hospital HIS system is led in conjunction with nosocomial infection classification data according to based on diagnosis and treatment item and time Auto-matching
Out, by doctor's advice diagnosis and treatment and expense Auto-matching, the direct medical cost that patient generates by a certain type nosocomial infection is calculated；
S5: being observed the specific lesion crowd in medical institutions, calculates it and is being not carried out particular hospital infection
In the state of control measure, the numerical value of hospital infection rate P1, P1=kainogenesis Patients with Hospital Infection number/same period inpatient number；
S6: being observed the specific lesion crowd in medical institutions, calculates it and is implementing particular hospital infection control
In the state of measure processed, the numerical value of hospital infection rate P2, P2=kainogenesis Patients with Hospital Infection number/same period inpatient number；
S7: it to substance consumed by particular hospital infection control measure and manpower progress cost accounting is implemented, establishes local
The cost accounting model, i.e. hospital infection control measure input cost=facilities and equipment cost+consumables cost+newly-increased human input
Cost；
S8: the infection rate before and after implementation hospital infection control measure is compared, illustrates control measure if P2 > P1
There is no effect, illustrate that control measure are effective if P1 > P2, Cost benefit assessment can be carried out；
S9: according to P1 and P2 calculate control measure in some cycles can reduction nosocomial infection case number, i.e. case
In-patient number * (P1-P2) in number=some cycles；
S10: calculating through the direct medical cost that control measure are saved is the direct benefit generated, i.e. direct benefit=doctor
Institute infects the average directly doctor of the list type nosocomial infection in the example number * list type nosocomial infection direct medical cost large database concept
Treatment expense；；
S11: the benefit-cost ratio=direct benefit/hospital infection control measure for implementing hospital infection control measure is calculated
Input cost；
S12: decision index system: benefit-cost ratio > 1, it is good in economic efficiency, what the measure or project were economically feasible；
Benefit-cost ratio < 1, deficiency in economic performance, the measure or project are economically not all right.
Preferably, direct medical cost model in the step S1 are as follows: nosocomial infection direct medical cost=nosocomial infection
Treat related expenses for medicine+related check Laboratory Fee+nurse fees+Operation Fee+fee of material+medical services expense+other fees.
Preferably, the specific lesion crowd includes Digestive Medical Ward patient, Respiratory Medicine ward patient, hematology's disease
Room patient.
Preferably, it is calculated in the step S4 by the direct medical cost of some cycles, can establish list type doctor
Institute infects direct medical cost large database concept.
The beneficial effects of the present invention are:
It is accurate that the present invention carries out hospital infection control measure cost and benefit using technical economic analysis and evaluation method
Calculate, solve existing hospital infection control measure put into the process of implementation, output calculate obscure, can not be to hospital infection control
Measure carries out the problem of scientific evaluation；In terms of the input amount of health resources and health resources volume output two, science is carried out
Analysis is hospital, government or administrative department in charge of health from decision to the realization of implementary plan scheme and programme target
Degree proposes evaluation and decision-making foundation, reduces and medical resource is avoided to waste, configure limited medical resource reasonably
It is used with effective.
Detailed description of the invention
Fig. 1 is flow diagram of the invention.
Specific embodiment
For a better understanding of the technical solution of the present invention, in conjunction with appended figures and specific embodiments
Technical solution of the present invention is described in detail.
As shown in Figure 1, a kind of method for constructing hospital infection control measure Cost benefit assessment model, including following step
It is rapid:
S1: single type nosocomial infection direct medical cost model, i.e. nosocomial infection direct medical cost=hospital's sense are established
Dye treats related expenses for medicine+related check Laboratory Fee+nurse fees+Operation Fee+fee of material+medical services expense+other fees, in medical treatment
A certain specific lesion crowd is selected such as in mechanism: Digestive Medical Ward patient, Respiratory Medicine ward patient, hematology's ward disease
People carries out Prospective Surveillance to its nosocomial infection incidence；
S2: to the patient that nosocomial infection has occurred, by calling the infection of hospital's sensing control workplace SaaS service platform to suffer from
Person's file administration interface, establishes mood profile, archive content include: patient basis, for the first time diagnostic message, treatment information,
Medication information, total cost information, infection correlative charges information, infection anticipation class information；
S3: all physician practices relevant to infection that patient occurs after nosocomial infection for doctor record；
S4: by call sensing control workplace SaaS service platform medical act integrated service interface, by physician practice with
Patient's cost data carry out Auto-matching, the interface by by institute in HIS system expense detailed data and diagnosis and treatment detail number
Cost data in hospital HIS system is led in conjunction with nosocomial infection classification data according to based on diagnosis and treatment item and time Auto-matching
Out, by doctor's advice diagnosis and treatment and expense Auto-matching, the direct medical cost that patient generates by a certain type nosocomial infection is calculated；It is logical
The direct medical cost for crossing some cycles (year, season or the moon) is calculated, and can establish the list type nosocomial infection direct medical cost
Large database concept；
S5: being observed the specific lesion crowd in medical institutions, calculates it and is being not carried out particular hospital infection
In the state of control measure, the numerical value of hospital infection rate P1, P1=kainogenesis Patients with Hospital Infection number/same period inpatient number；
S6: being observed the specific lesion crowd in medical institutions, calculates it and is implementing particular hospital infection control
In the state of measure processed, the numerical value of hospital infection rate P2, P2=kainogenesis Patients with Hospital Infection number/same period inpatient number；
S7: it to substance consumed by particular hospital infection control measure and manpower progress cost accounting is implemented, establishes local
The cost accounting model, i.e. hospital infection control measure input cost=facilities and equipment cost+consumables cost+newly-increased human input
Cost；
S8: the infection rate before and after implementation hospital infection control measure is compared, illustrates control measure if P2 > P1
There is no effect, illustrate that control measure are effective if P1 > P2, Cost benefit assessment can be carried out；
S9: according to P1 and P2 calculate some cycles (year, season or the moon) interior control measure can reduction nosocomial infection case
Number, i.e. in-patient number * (P1-P2) in nosocomial infection case number=some cycles；
S10: calculating through the direct medical cost that control measure are saved is the direct benefit generated；That is direct benefit=doctor
Institute infects the average directly doctor of the list type nosocomial infection in the example number * list type nosocomial infection direct medical cost large database concept
Treatment expense；
S11: the benefit-cost ratio=direct benefit/hospital infection control measure for implementing hospital infection control measure is calculated
Input cost；
S12: decision index system: benefit-cost ratio > 1, it is good in economic efficiency, what the measure or project were economically feasible；
Benefit-cost ratio < 1, deficiency in economic performance, the measure or project are economically not all right.
As can be seen from the above embodiments, the present invention is by establishing single type nosocomial infection direct medical cost model, meter
The Project Cost that nosocomial infection direct medical cost is included is calculated, so as to carry out nosocomial infection to hospital lesion crowd
The monitoring of situation；By calling the infected patient file administration interface of hospital's sensing control workplace SaaS service platform, patient is established
Archives, while the physician practice that patient occurs after nosocomial infection records；Again by calling sensing control workplace SaaS service
Physician practice and patient's cost data are carried out Auto-matching by the medical act integrated service interface of platform, calculate patient because of certain
One type nosocomial infection and the direct medical cost generated, while it is big to can establish the list type nosocomial infection direct medical cost
Database；The specific crowd is calculated in the numerical value for the hospital infection rate P1 being not carried out under hospital infection control measure status, and
Execute the numerical value of the hospital infection rate P2 under hospital infection control measure status；By the sense before and after implementation hospital infection control measure
Dye rate compares, and illustrates that control measure do not have effect if P2 > P1, if P1 > P2 illustrates that control measure are effective；Root again
According to P1 and P2 calculate some cycles (year, season or the moon) interior control measure can reduction nosocomial infection case number, to calculate
It is the direct benefit generated by the direct medical cost that control measure are saved；And it is consumed to hospital infection control measure is implemented
Substance and manpower carry out cost accounting, obtain hospital infection control measure input cost；Implementation hospital infection control is calculated again
Benefit-cost ratio=direct benefit of measure/hospital infection control measure input cost；It finally obtains a result: benefit-cost-ratio
Rate > 1, it is good in economic efficiency, what the measure or project were economically feasible；Benefit-cost ratio < 1, deficiency in economic performance, this is arranged
It applies or project is economically not all right.
The above description is only an embodiment of the present invention, is not intended to limit the scope of the invention, all to utilize this hair
Equivalent structure or equivalent flow shift made by bright specification and accompanying drawing content is applied directly or indirectly in other relevant skills
Art field, is included within the scope of the present invention.
Claims (5)
1. a kind of method for constructing hospital infection control measure Cost benefit assessment model, which comprises the following steps:
S1: establishing single type nosocomial infection direct medical cost model, a certain specific lesion crowd selected in medical institutions, right
Its nosocomial infection incidence carries out Prospective Surveillance；
S2: to the patient that nosocomial infection has occurred, by the infected patient shelves for calling hospital's sensing control workplace SaaS service platform
Case management interface, establishes mood profile, and archive content includes: patient basis, for the first time diagnostic message, treatment information, medication
Information, total cost information, infection correlative charges information, infection anticipation class information；
S3: all physician practices relevant to infection that patient occurs after nosocomial infection for doctor record；
S4: the medical act integrated service interface by calling sensing control workplace SaaS service platform, by physician practice and patient
Cost data carry out Auto-matching, the interface by by institute in HIS system expense detailed data and diagnosis and treatment detailed data base
Cost data in hospital HIS system is exported in conjunction with nosocomial infection classification data in diagnosis and treatment item and time Auto-matching,
By doctor's advice diagnosis and treatment and expense Auto-matching, the direct medical cost that patient generates by a certain type nosocomial infection is calculated；
S5: being observed the specific lesion crowd in medical institutions, calculates it and is being not carried out particular hospital infection control
In the state of measure, the numerical value of hospital infection rate P1, P1=kainogenesis Patients with Hospital Infection number/same period inpatient number；
S6: being observed the specific lesion crowd in medical institutions, calculates it and arranges in implementation particular hospital infection control
In the state of applying, the numerical value of hospital infection rate P2, P2=kainogenesis Patients with Hospital Infection number/same period inpatient number；
S7: carrying out cost accounting to substance and manpower consumed by particular hospital infection control measure is implemented, establish it is local at
This Accounting Model, i.e. hospital infection control measure input cost=facilities and equipment cost+consumables cost+newly-increased human input at
This；
S8: the infection rate before and after implementation hospital infection control measure is compared, illustrates that control measure do not have if P2 > P1
Effect illustrates that control measure are effective if P1 > P2, can carry out Cost benefit assessment；
S9: according to P1 and P2 calculate control measure in some cycles can reduction nosocomial infection case number, i.e. nosocomial infection
In-patient number * (P1-P2) in case number=some cycles；
S10: calculating through the direct medical cost that control measure are saved is the direct benefit generated；
S11: the benefit-cost ratio=direct benefit/hospital infection control measure investment for implementing hospital infection control measure is calculated
Cost；
S12: decision index system: benefit-cost ratio > 1, it is good in economic efficiency, what the measure or project were economically feasible；Benefit
Benefit cost ratio < 1, deficiency in economic performance, the measure or project are economically not all right.
2. the method for building hospital infection control measure Cost benefit assessment model according to claim 1, feature exist
In direct medical cost model in the step S1 are as follows: the nosocomial infection direct medical cost=related expenses for medicine of nosocomial infection treatment+
Related check Laboratory Fee+nurse fees+Operation Fee+fee of material+medical services expense+other fees.
3. the method for building hospital infection control measure Cost benefit assessment model according to claim 1, feature exist
In the specific lesion crowd includes Digestive Medical Ward patient, Respiratory Medicine ward patient, hematology ward patient.
4. the method for building hospital infection control measure Cost benefit assessment model according to claim 1, feature exist
In the direct medical cost for passing through some cycles in the step S4 is calculated, and be can establish the list type nosocomial infection and is directly cured
Treatment expense large database concept.
5. the method for building hospital infection control measure Cost benefit assessment model according to claim 4, feature exist
In some cycles are year, season or the moon.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811521841.1A CN109472519A (en) | 2018-12-13 | 2018-12-13 | A method of building hospital infection control measure Cost benefit assessment model |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811521841.1A CN109472519A (en) | 2018-12-13 | 2018-12-13 | A method of building hospital infection control measure Cost benefit assessment model |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109472519A true CN109472519A (en) | 2019-03-15 |
Family
ID=65675112
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811521841.1A Pending CN109472519A (en) | 2018-12-13 | 2018-12-13 | A method of building hospital infection control measure Cost benefit assessment model |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109472519A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040176980A1 (en) * | 2003-03-07 | 2004-09-09 | Clemens Bulitta | Comprehensive standardized process change management model framework and method for creating customized process model for a healthcare organization using the framework |
| US8224666B1 (en) * | 2002-08-16 | 2012-07-17 | Surgical Information Systems, LLC | Rules based medical charging system |
| US20130054260A1 (en) * | 2011-08-24 | 2013-02-28 | Paul Evans | System and Method for Producing Performance Reporting and Comparative Analytics for Finance, Clinical Operations, Physician Management, Patient Encounter, and Quality of Patient Care |
| CN105893725A (en) * | 2014-11-13 | 2016-08-24 | 北京众智汇医科技有限公司 | Management system for an entire process of hospital infection prevention and control, and method thereof |
| CN106650208A (en) * | 2016-09-30 | 2017-05-10 | 广州慧扬信息系统科技有限公司 | Cost analysis system and method of patient with medical insurance |
| CN108320788A (en) * | 2017-01-16 | 2018-07-24 | 医渡云（北京）技术有限公司 | Hospital business analysis method and device |
| CN108461154A (en) * | 2018-02-08 | 2018-08-28 | 江苏大学附属医院 | A kind of Hospital Infection managing device and method for managing and monitoring |
-
2018
- 2018-12-13 CN CN201811521841.1A patent/CN109472519A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8224666B1 (en) * | 2002-08-16 | 2012-07-17 | Surgical Information Systems, LLC | Rules based medical charging system |
| US20040176980A1 (en) * | 2003-03-07 | 2004-09-09 | Clemens Bulitta | Comprehensive standardized process change management model framework and method for creating customized process model for a healthcare organization using the framework |
| US20130054260A1 (en) * | 2011-08-24 | 2013-02-28 | Paul Evans | System and Method for Producing Performance Reporting and Comparative Analytics for Finance, Clinical Operations, Physician Management, Patient Encounter, and Quality of Patient Care |
| CN105893725A (en) * | 2014-11-13 | 2016-08-24 | 北京众智汇医科技有限公司 | Management system for an entire process of hospital infection prevention and control, and method thereof |
| CN106650208A (en) * | 2016-09-30 | 2017-05-10 | 广州慧扬信息系统科技有限公司 | Cost analysis system and method of patient with medical insurance |
| CN108320788A (en) * | 2017-01-16 | 2018-07-24 | 医渡云（北京）技术有限公司 | Hospital business analysis method and device |
| CN108461154A (en) * | 2018-02-08 | 2018-08-28 | 江苏大学附属医院 | A kind of Hospital Infection managing device and method for managing and monitoring |
Non-Patent Citations (1)
| Title |
|---|
| 李东兵: "感染控制的经济评价", 《中国感染控制杂志》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102558021B1 (en) | A clinical decision support ensemble system and the clinical decision support method by using the same | |
| CN105528526B (en) | A kind of life cycle dynamical health management system excavated based on traditional Chinese medicine succession with big data | |
| CN103942432B (en) | Wisdom is health management system arranged | |
| Rising et al. | Emergency department visits after hospital discharge: a missing part of the equation | |
| Paré et al. | Home telemonitoring for chronic disease management: an economic assessment | |
| CN107491630A (en) | Clinical decision support integrated system and use its clinical decision support method | |
| CN106485403A (en) | Hospital evaluation system and evaluation method based on medical big data | |
| CN108492854A (en) | A kind of intelligent medical treatment service system based on big data | |
| Mayo et al. | Incorporating the International Classification of Functioning, Disability, and Health (ICF) into an electronic health record to create indicators of function: proof of concept using the SF-12 | |
| CN108288130A (en) | Clinical care Performance Evaluation System and method based on data mining analysis platform | |
| Scotté et al. | A patient reported outcome platform, a useful tool to improve monitoring and effective management of Covid-19–positive patients with cancer | |
| CN110189823A (en) | A kind of homologous health medical treatment of intelligence and the medical model of prevention | |
| Jesionowski et al. | Does a provider in triage and rapid medical evaluation help with left without being seen rates and ED crowding? | |
| Gutiérrez-Sacristán et al. | Hospitalizations associated with mental health conditions among adolescents in the US and France during the COVID-19 pandemic | |
| Xu et al. | Awareness, utilization and health outcomes of national essential public health service among migrants in China | |
| Aponte | Key elements of large survey data sets. | |
| US20080147444A1 (en) | Blood product utilization system and methods | |
| Fudholi et al. | An ontology model for clinical pathway audit | |
| CN112466423A (en) | Intelligent chronic disease health management method and system | |
| Nair et al. | Validation of Harikrishna Periwound Skin Classification for wound assessment | |
| CN109472519A (en) | A method of building hospital infection control measure Cost benefit assessment model | |
| CN109065167A (en) | The elderly's exercise risk appraisal procedure | |
| Fine et al. | Nursing process, derived from the clinical care classification system components, as an earlier indicator of nursing care during a pandemic | |
| Washington III et al. | The association between race and frailty in older adults presenting to a nononcologic urology practice | |
| CN114582510A (en) | AI health monitoring management system based on big data |
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 |
Application publication date: 20190315 |
|
| RJ01 | Rejection of invention patent application after publication |