Research

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Index - Same Level Subject

Assessing HIS
Change Management
Healthcare Processes
Certification Process
Accounting and Financial
Human Resources
Information Management
Management
Data Analysis and Data Mining
Error detection and Fraud Prevention
Surveillance
Research
External Communication and Reporting
Marketing
Safety and Security
Software and Programming
"Bells and Whistles "
Client and Household Care
Quality of Care
Education and Training
Administrative
Government and Political
Employee Efficiency
 

Index - Child Subjects

Benefits to Research

The goal of Healthcare Research is to MEASURE Success and Seek out new methods and processes.

Without this function...we would more than likely still be "bleeding" our patients when they had a high fever! (Not that some healthcare organizations are still doing that today)

All data is available at the detail level for every clinical contact. Data is transferred within a few hours to a central database where research and epidemiological studies may be carried out. There is no requirement that the local staff be trained in epidemiological or environmental surveillance (where it is generally found to be ineffective). Data can be made available to all (to those with proper authorization) for “competitive” analysis. Decisions can be based on better analysis that is provided at a lower cost.

Conduct clinical Outcomes Studies

Modern social science methods require very advanced statistical modeling of human behavior. The organization will be able to strengthen its research in Social Sciences by providing the researchers with up-to-date quantitative and qualitative statistical tools.

The Organization can train teams to use qualitative tools such as key informants, pile sorts, listings, cluster analysis and other methods. It can also train different groups of staff to specialize in Analysis techniques. Present of highly efficient skilled personnel will encourage social science researches to use advanced analysis on data such as Jenkins-Box time series analysis, cluster analysis, structured equation modeling, and others.

Strengthening the statistical analysis of research may save resources in the future. For example, by using factor or cluster analysis to determine the significance of research variables, it may be found that a few variables carry essentially all of the information. This means that survey questions can be reduced and costs contained.           

  •  Identify the Population by multiple criterion

  •  Data analysis will be in real time or very close to it. Data presentation could be made using graphs and charts  

  •  Identify at-risk patient populations. For example, find all patients on a medication recalled by the federal agency

  •  Use the database for disease management, clinical trials, and tracking patients patterns
  •  Compare patients with similar conditions and treatment plans

  • Study disease trends among ethnic groups and specific subgroups

Support analysis and "Practical" clinical research that is directly applicable to improving clinical methods and outcomes for populations across continuum of care. Since the complete progression of a condition or disease can be tracked, different protocols can be compared against their effectiveness and cost.

Client Profiling provides data to easily use the Inclusion/Exclusion criteria to determine the edibility of research subjects. Selection for suitable research subjects can be made in minutes by:

  • age

  • gender

  • ethnicity (very important where there is a diverse indigenous population)

  • medical history 

  • co-morbidities

  • prognosis

  • current medication

  • social history

  • family history

  • address

Data Analysis will be timely and relevant to the level using the information. In systems of today, correlation of all the different surveys, databases, and government reports is next to impossible. Even correlating a client’s record over time in order to monitor changes in attitudes is time consuming and costly. It is no wonder service personnel cannot understand the need for the data he collects. He may never see it.

By using Web technology and Data Warehouses variables and indicators can be monitored on a daily basis. Determining trends, which is what information is all about,  can be seen in real time. If changes have to be made, they can be made immediately, without waiting for the end of some time period when it then may be too late. 

Just as businesses can use the information from data warehouses to calculate the risk factor of customers paying their bills, health centers can calculate the health risk factors of their patients. 

By having real data in real time instead of using surveys and outdated materials, cost benefit analysis can be enhanced. Knowing who, what, where, how "fees" for services and "payments" are made to clients, the elasticity of demand can more easily be calculated. Demographic data is easily kept. 

By using advance resource application programs, the following items can be made more effective.

  • Critical Path Scheduling for scheduling the staff at different 
    locations

  • PERT for the place of new clinics based on the distance the 
    patients are from the present locations.

An estimate of contraceptive use can be obtained from distribution, and patterns of distribution…an example does this person return at regular intervals for replenishment? If not then the client either does not use contraceptives or she has found another source. An exception list can be produced of all those clients who have not returned for supplies

Client's perceived needs changes rapidly. Surveys are too slow, do not report trends, and too expensive to response to the client's choices. Information systems can provide that data and in real time.  

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