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HCI-112: Electronic Health/Medical Rec
View attached explanation and answer. Let me know if you have any questions.Hello, I have
uploaded the assignment before the initial deadline to give you time to ask for any revisions.
Kindly go through the work as soon as possible. Let me know if you need any
clarification.Always a pleasure to work with you again. Feel free to INVITE me PRIVATELY
for future tasks. Goodbye. Clinical DecisionSupport SystemsStudent’s NameInstitutional
AffiliationIntroduction Clinical Decision-Support Systems (CDSS) arecomputerized
decision-support systems that assistclinicians by providing information about patient
care. This software can help make medical decisions byproviding patients with the most
accurate information andtreatment options. It can also provide alerts for physicians to
manage theirpatient care.Overview CDSS is designed to answer questions, highlight
errors,and provide clinical support for decision-making. CDSS is designed to help
clinicians follow best practicesand guidelines, avoid errors, and improve patient
outcomes. CDSS can notify clinicians of new research updates andnew treatment protocol
developments.CDSS Basics: Types, Tasks, andStructure Databases Dictionaries
Catalogs Search Engines Document and data management systemsCDSS
ArchitectureTheuserlayerAservicelayerA corelayerKnowledge-Based CDSS This is a
designed CDSS that relies on built-in knowledgeabout the system to guide its automation.
The approach requires access to extensive knowledge ofthe system, its environment, and its
users. The first step in designing a knowledge-based CDSS is toidentify the knowledge that
should be incorporated into thesystem.Nonknowledge-Based CDSS Genetic algorithms
(GA) Artificial neural networks (ANN)CDSS’s Significant Areas ofApplication Drug
selection Diagnostic support Cost containment Clinical management AUC for
Medicare patientsEthical Issues Privacy and predictive analytics Data Ownership
Security Not being able to account for all the variablesBenefits of Clinical DecisionSupport
Systems (CDSS) Improve the quality of care Increase patient safety Reduce health care
costs Help physicians improve their practiceChallenges of Clinical DecisionSupport
Systems (CDSS) CDSS are difficult to maintain and update, as they rely oncomplex data
that often require a lot of work. Clinicians may question the transparency of the
decisionmaking process and the accuracy of the information. The time needed for
implementation and training may betoo long, as is the case for optimizing the workflow
The cost of implementation and training may be high.References Dramburg, S., Marchante
Fernández, M., Potapova, E., & Matricardi,P. M. (2020). The potential of clinical decision
support systems forprevention, diagnosis, and monitoring of allergic diseases. Frontiers
inImmunology, 11, 2116. doi: 10.3389/fimmu.2020.02116 Sutton, R. T., Pincock, D.,
Baumgart, D. C., Sadowski, D. C., Fedorak,R. N., & Kroeker, K. I. (2020). An overview of
clinical decision supportsystems: benefits, risks, and strategies for success. NPJ
digitalmedicine, 3(1), 1-10. https://doi.org/10.1038/s41746-020-0221-y Kim, S., Kim, E.
H., & Kim, H. S. (2022). Physician Knowledge Base:Clinical Decision Support Systems. Yonsei
Medical Journal, 63(1), 8.doi: 10.3349/ymj.2022.63.1.8View attached explanation and
answer. Let me know if you have any questions.Clinical DecisionSupport SystemsStudent’s
-Support Systems (CDSS)
arecomputerized decision-support systems that assistclinicians by providing information
de alerts for
to answer questions,
clinicians follow bestpractices and guidelines, avoid er…

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Electronic Rec.docx

  • 1. HCI-112: Electronic Health/Medical Rec View attached explanation and answer. Let me know if you have any questions.Hello, I have uploaded the assignment before the initial deadline to give you time to ask for any revisions. Kindly go through the work as soon as possible. Let me know if you need any clarification.Always a pleasure to work with you again. Feel free to INVITE me PRIVATELY for future tasks. Goodbye. Clinical DecisionSupport SystemsStudent’s NameInstitutional AffiliationIntroduction Clinical Decision-Support Systems (CDSS) arecomputerized decision-support systems that assistclinicians by providing information about patient care. This software can help make medical decisions byproviding patients with the most accurate information andtreatment options. It can also provide alerts for physicians to manage theirpatient care.Overview CDSS is designed to answer questions, highlight errors,and provide clinical support for decision-making. CDSS is designed to help clinicians follow best practicesand guidelines, avoid errors, and improve patient outcomes. CDSS can notify clinicians of new research updates andnew treatment protocol developments.CDSS Basics: Types, Tasks, andStructure Databases Dictionaries Catalogs Search Engines Document and data management systemsCDSS ArchitectureTheuserlayerAservicelayerA corelayerKnowledge-Based CDSS This is a designed CDSS that relies on built-in knowledgeabout the system to guide its automation. The approach requires access to extensive knowledge ofthe system, its environment, and its users. The first step in designing a knowledge-based CDSS is toidentify the knowledge that should be incorporated into thesystem.Nonknowledge-Based CDSS Genetic algorithms (GA) Artificial neural networks (ANN)CDSS’s Significant Areas ofApplication Drug selection Diagnostic support Cost containment Clinical management AUC for Medicare patientsEthical Issues Privacy and predictive analytics Data Ownership Security Not being able to account for all the variablesBenefits of Clinical DecisionSupport Systems (CDSS) Improve the quality of care Increase patient safety Reduce health care costs Help physicians improve their practiceChallenges of Clinical DecisionSupport Systems (CDSS) CDSS are difficult to maintain and update, as they rely oncomplex data that often require a lot of work. Clinicians may question the transparency of the decisionmaking process and the accuracy of the information. The time needed for implementation and training may betoo long, as is the case for optimizing the workflow The cost of implementation and training may be high.References Dramburg, S., Marchante Fernández, M., Potapova, E., & Matricardi,P. M. (2020). The potential of clinical decision support systems forprevention, diagnosis, and monitoring of allergic diseases. Frontiers
  • 2. inImmunology, 11, 2116. doi: 10.3389/fimmu.2020.02116 Sutton, R. T., Pincock, D., Baumgart, D. C., Sadowski, D. C., Fedorak,R. N., & Kroeker, K. I. (2020). An overview of clinical decision supportsystems: benefits, risks, and strategies for success. NPJ digitalmedicine, 3(1), 1-10. https://doi.org/10.1038/s41746-020-0221-y Kim, S., Kim, E. H., & Kim, H. S. (2022). Physician Knowledge Base:Clinical Decision Support Systems. Yonsei Medical Journal, 63(1), 8.doi: 10.3349/ymj.2022.63.1.8View attached explanation and answer. Let me know if you have any questions.Clinical DecisionSupport SystemsStudent’s -Support Systems (CDSS) arecomputerized decision-support systems that assistclinicians by providing information de alerts for to answer questions, clinicians follow bestpractices and guidelines, avoid er…