Question

Describe an issue associated with healthcare data that impedes the construction of meaningful databases and inhibits the data mining process. What strategies would you use to remedy this situation? Thoroughly describe one strategy and its potential outcomes.

Answer 1

Health cae databases are systems in to which health care providers routinely enter clinical and laboratary data..One of the most cmmonly used forms of health data bases are electronic health records (EHRs).

In health care ,data minig ha proven effective in areas such as prdictive medicine,costomer relationrrelationship mangement,detection of fraud and abuse, management of healthcare andmeasuring effectiveness of certain treatments

In the health care industry specifically, data mining can be used to decrease costs by increase cost by efficiencies improve patients quality of life,and pperhaps most importantlysave the lives of more patients.

ISSUES IN CONSTRUCTION AND MINING DATA ;

• One0f the biggest trouble in datamining in health care is that the raw health data is huge and hetorogeneous.These data can be asembled from diverse sources such as from conversations with patient s laboratory results and interpretation of doctors.All these componentscan have major crash on diagnosis,prognosis,and treatment of patients,and should not be ignored.
• Missing,incorrect, incosistant or nonstandard data such as pieces of inconstistant or non standard data such as pieces of information saved in dissimilar formats from different data sources create a major obstacle to successful data mining.
• Data mining in health care can be restricted in data accesses, sice the raw inputs for data mining frequently exists differentsettings and systems,like administrations,clinics,laboratories etc.
• Data mining can fall from various reasons like lack of managrial support inadequate data mining expertise etc.
• data scruitinity- In last f2 years over100,000 systems were hacked into because of their database have beenexposed on the public internet

Remedies'

• Data security - Todays data bsae must come with secuirity that easy to set up quick to notify users if something is wrong and protect both data at rest and in transit.
• performance - superior performances include deployment with good default
• Ensurinf data safty
• Good resource utilization
• High level availability-A data cluster consisting of several servers working ogether gives you multiple level of backup  

STRATEGY

Perfomance;

Databases have alwys faced harsh performance criteria.the amound of data yo are taking may be expanding,but satisfy your users you need proces it faster without making them jump through hoops to get there.

supeior performance involves deplyment with good default,being able to recognise operational environment, and adjusting automaticlly and getting to place where good performance regardless of the hardware.

A goodperformance strategy helps to overcome all the iisues in data mining,it improves the quality of care