Data Integration Standards
[Name of the Institution]
Ensuringthe standardization of data dictionaries met the needs of theenterprise
Setting the goals inspecifically three areas will offer the implementation of balancedprocesses. Goals that are vital will help the staff throughout thealteration process. It is more recommended to follow the overallgoals process smartly .
In this process, few pointare included such as targets and objectives that should synchronizewith the following criteria.
Specific – The achievement and execution of goals would make significant differences for the staff and patients.
Measureable – Target level and necessity level should be quantify accordingly.
Attainable – It is expected that the goals may be the stretch but still it is achievable.
Time bound – There are a lot of opportunities and targeted deadlines for celebrating success.
Relevant – This requires effort.
Forthe implementation of EHR project, the goals will work as the guidepost. After the achievement of goals, it motivates the patient ,providers and staff to accept necessary alteration and learn newskills.
ApplicableClinical Data Standards Theory And Development
For the data integration, the team of dataexperts should agree universally about the privacy of data. Forexample: Each system consists of the detail of person, member andpatient. And each of the system shows the concept at their best level,it produce the unique internal key for the meaningful purpose. Onthe other side, the most important concept do not usually map acrossthe system. As there are some of the techniques for the unificationof data across the system, still it requires system professionalsteam for complex data integration ,key lookups and continual growth.The technique of data warehousing can support on it.
The most difficult part during executionprocess is interoperability. It is the transformation of data intoknowledge and from knowledge to wisdom and after it , in the form ofthe execution as practical application. Some challenges are presentrelated to the capturing of data in the system of EHR. Various EHRvendors have various designs to show according to the requirement ofdata. This may results the arisen of issues to the physiciansutilizing EHR , as sometime it is difficult to integrate andexchange the information (Jamoom, Beatty, Bercovitz, Woodwell, Palso,& Rechtsteiner, 2012, p.n.d).
“The healthcare industry is naturally richwith data, clinical, patient, claim, hospital system,financial, pharmacy and,most recently, data from wearable technology. It is clear thatanalysing this data collectively can drastically improve patient careand both clinical andfinancial outcomes, but how to actually collect, read, integrate,understand and leverage the data remains a broken process. From atechnology perspective, data is sourced from a myriad of systems withvaried levels of sophistication, accessibility, transparency andquality”.
The implementation of EHR includes theinstallation system and other activities such as pilot testing or tosay mock and training. In order to execute the following EHRprinciple, it is necessary to schedule and plan the phase (thatestablished during planning phase). 1) “Chartabstraction planand other data migration plans in conjunction with your EHR vendor.2) Execution of an EHR implementation training plan that includespractice specific goals and needs, as well as compliance withMeaningful Use objectives.3) Privacy and security risk managementmitigation plan”. Privacyissues has the strength to develop and worse the health problemsparticularly in the situation of adolescents. The providers ofhealthcare should advocates to extend the access of EHR to thepatient families and to facilitates the alternatives solution to allthose who do not have access to the internet sources or computerswith specifically the confidential concerned .There is a need ofconducting research concerned to the confidentiality issues and theneed of families who are experiencing the EHR .It is very importantto know how their concept related to confidential information canaffect the decision towards healthcare. For that, it is necessary tomake technical strategy to develop and ensure the proper EHR systemthat can easily integrates. If there will be absence of technicalstrategy , results the hindrance on the release of potentialapplication of EHR and the healthcare system. Additionally, asmentioned in the previous discussion ,there should be transparentdatabase provided form the vendor side that can provide necessaryinformation to the physicians (Sun et.al, 2011, p.n.d).
Even in the presence of data modelling conceptsand the integration of team, the requirement of technology is stillvery important. There are legacy system present that can easilymaintain and handle the magnitude of the data that is expected togenerate or the collaboration of data with the new and effectivesoftware. In out-dated system, all the integration tools has adoptedfor completing the general purpose of healthcare system. Tools thatunderstand and validate the coding and effectively providesmeaningful data process of reuse and sheering volume of data relatedto EHR. Off the shelf based data integration general purpose toolsmay expectedly seems as attractive during the purchasing but still itrequires the huge amount of investment in the development oflibraries to establish the updated and expert level healthcare datasystem.
ClinicalData And Clinical Process Modeling: UML-Unified Modeling Language
“The goal is to design and develop an Electronic Healthcare Designand Development using Unified Modeling Language (UML) and Java.Electronic healthcare, for paperless management of all activitieswithin large healthcare establishments, promises much in speeding upthe typical bureaucracy of healthcare in medical centres andhospitals. However, the realities that face the proper implementationof electronic healthcare involve the integration of many subsystemsfor EHR to be properly executed. For widespread adoption ofelectronic health record (EHR) systems by hospitals, it is essentialto perform a detailed software analysis and design, to set the stagefor standardization of various components for the implementation ofEHR. A typical EHR system can consist of many components andsubsystems, such as appointments and scheduling admission,discharge, and transfer (ADT) prescription order entry dietaryplanning routine clinical notes lab and radiology orders picturearchiving, and smart card sign-on. Thus, object-oriented analysis anddesign is well-suited for modeling the complexity posed by this typeof software system. Below figure presenting the object-orienteddesign and development of EHR and its various subsystems usingUnified Modeling Language (UML) and Java. Unified Modeling Language(UML) is the defacto modeling language for object-oriented analysisand design. UML is not a programming language for softwareimplementation, but rather a modeling language for software design. Asoftware design is like a blueprint for a house, defining the modelfor creating the software. Software design models typically consistof a set of visual diagrams which describe the structural andbehavioural properties of software. Much like a blueprint, a softwaredesign needs to have a common set of notations to define what is themeaning of, for example, an arrow verses a square. This is thepurpose of UML: to define a complete set of notations for the variousvisual models when creating an object-oriented design model. The Javaprogramming language is becoming more and more popular all types ofcomputers and devices (Flowers, 2016, p.n.d).With the proliferation of higher functioning devices, Javaapplications can be developed to run on multiple targets, with acommon set of application code. This will expose to the basics ofelectronic healthcare design and development with UML and Java.Typical diagrams for object oriented design are use case diagrams,class diagrams, sequence/collaboration diagrams, activity diagrams,and state chart diagrams. The EHR is the key in development of atruly digital hospital, where everyday operations and record-keepingare carried out and maintained almost exclusively with computers.EHRs have been a healthcare priority for years in many countries.However, progress in implementing EHRs has lagged behind the latestinformation technologies available, and only a minority of hospitalsand clinics actually use them. This will demonstrate to theinformation and computing industry that the time and cost indesigning and implementing an EHR system need not be prohibitivelyhigh. With this, it is anticipated that we will be able to sign up atleast one of the local hospitals or medical clinics for a trial run.In doing so, Smarter Healthcare IT solutions will be seen as goodchoices any healthcare systems requiring multi-language,multiplatform, and multi-vendor supported environment” (Tsai,2016, p.n.d).
Source :(Tsai, 2016, p.n.d)
ClinicalData And Clinical Process Modeling: UP-Unified Process
Althoughthere are some critical outcome of the implementation process whichare as under :
The unified vision : In unified vision, each team member of the practitioners team completely understand how they should accept and reach with the changes and how the process will provide a pathway to success.
Well-organized leadership team: The management staff , clinical staff and the entire team, should show that they possess strong advocates as alteration can expectedly come as the most strongest tools that guide the staff during transition.
Realistic goals, setting the deadline and measureable are the only key that assess till the completion of phase.
The designing of team is one of the biggesthindrances for the integration of clinical data. The informationtechnology teams are targeted to collect the data for the analyticalteam .The analytical team are supposed to submit the report for thedriving of individual transformation of clinical team. As all thosestaff who utilize the data are disconnected from the process of datacollection .And all those , who have tasked to collect the data arefar more distance from the understanding of the requirement ofbusiness or the source of the data. There are various repositorythroughout the complete lifecycle process. The whole team isoperating under the single mind-sets, so it is possible to missimportant details during the data transfer . “Skillsets for data retrieval, organization, interpretation and action mustbecome intertwined in order for data integration to improve.Crossover of team members can also help mitigate the lostefficiencies. Without the full picture or people available to connectthe dots, there is a huge margin for misinterpretation or missedopportunities. Building teams that include skilled professionals whounderstand and have access to the full picture will result in quickerand more effective advancements. We need good, accurate, timely datafrom all different parts of the business” (Northand Capozzalo, 2016, p.n.d).
North, M. & Capozzalo, G. (2016). ASeven-Step Approach to a Clinically IntegratedNetwork. http://www.beckershospitalreview.com/.,from http://www.beckershospitalreview.com/pdfsRetrieved 10 September2016
Sun, J., Zhu, X., Zhang, C., & Fang, Y.(2011, June). HCPP: Cryptography based secure EHR system for patientprivacy and emergency healthcare. In DistributedComputing Systems (ICDCS), 2011 31st International Conference on (pp.373-382). IEEE. Retrieved 10 September2016
Jamoom, E., Beatty, P., Bercovitz, A.,Woodwell, D., Palso, K., & Rechtsteiner, E. (2012). Physicianadoption of electronic health record systems: United States,2011. NCHS data brief, 98(July)Retrieved 10 September 2016
Flowers, C. (2016). DevelopingInformation Systems for Cancer Research Christopher Flowers, MD, MScAssistant Professor Medical Director, Oncology Data Center BoneMarrow. – ppt download. [online]Slideplayer.com. Available at: http://slideplayer.com/slide/5016080/Retrieved 10 September 2016
Tsai, F. (2016). ElectronicHealthcare Design and Development. HealthcareIndustry Skills Innovation Award Proposal.Retrieved 22 September 2016.