SlideShare a Scribd company logo
1 of 16
System Structures
Presentation:
Clinical Orders for Specific Diagnosis
Team A
Maureen Alfonso
Alison Cayson
Debbie
Fernando
Pam Gordon
Visal Srey
HCS/533
May 27, 2013
Jacqueline
Sommerville
An Introduction:
Standard Clinical Orders
O Benefits
O Save time and money
O Decrease medication errors
O Simplify admission process
O Obtain data
O Concerns
O Rush patient care
O Ignore the individual
Impact on
Health Care Delivery
O Reduce time to place common orders
O Ensure quality of care
O Reduce medical errors
O Provide consistent evidence-based
standards
O Comply with Core Measures
O Improve quality of patient outcomes
O Reduce length of stay
Training Involved
O Physicians
O Check allergies and contraindications
O Mark wanted orders and cross out
unwanted orders
O Nurses
O Carry out orders
O Double check allergies and
contraindications
O Ancillary Staff
O Understand the orders
O Know the routine
O All Staff know and follow HIPAA
regulations
Impact on Future
Evolutions
O Able to update for changes in best practice
O Multiple order sets available for secondary
diagnoses
O Lower cost of care delivery
O Reduce adverse events and errors
O More disease specific as new diseases are found
O Ability to add to or delete as needed
Maintenance
ComponentsO Specific coded IDs for patients
O Coded bracelets
O Numerical ID codes
O Provider Access
O Encrypted password
O Must be changed periodically
O Timely deletion of patient information
O Research and Statistics
O Patient information removed
O Other information to staff as necessary
O System updates as necessary
Implication of Privacy
and Security
Management
OLimited number of order sets
OAttention to alerts
OUser-specific access to order sets
OPassword protected
OStaff to sign off when not using
OPrivacy screens for computer monitors
Data Collection Usage
O Illnesses commonly found in area
O Illnesses commonly treated
O Communicable diseases
O Consider new vaccines
O Track STDs
O Follow ups
O Types of medication prescribed
O Number of different medications prescribed
O Unnecessary usage of hospital emergency
services
Steps in System
Development Life Cycle
O Project Definition
O User Requirements
O System Requirements
O Analysis and Design
O System Build
O Prototype
O Training
O Implementation
O Maintenance and Upgrades
Evaluation of Structure
Effectiveness
O Interdisciplinary collaboration
O Decrease deviations in patient care
O Develop and implement best evidence-based
operational and clinical models
O Provide clinical decision support at point of care
O Improve quality of care
O Decrease patient errors
Hardware Issues to be
Considered
O Number of Computers
O Stationary
O Laptops
O Network
O Printers
O Number
O Functions
O Locations
O Miscellaneous
Sample Order Sheet for Medications
for Asthma
Sample
Physician
Order Sheet for
Aftercare of
addiction
In Conclusion
O Impact of standard clinical orders to be
determined by users
O Time savings and convenience
O Quality care and the human factor
vs.
References
O Balci, O. (2012, July). A life cycle for modeling and simulation. Simulation 88(7),
870-883.
O Caliendo, M. (2013). Rutgers ranks urban hospitals on usage. NJBIZ, 26(14), 2-3.
Retrieved from
http://search.proquest.com/docview/1350300444?accountid=35812
O Chisolm, D., McAlearney, A., Veneris, S., Fisher, D., Holtzlander, M., & McCoy, K.
(2006). The role of computerized order sets in pediatric inpatient asthma
treatment. Pediatric Allergy and Immunology, 17(3), 199-206.
O Feldman, L. (2010). Hospitals advised to be thorough when deploying clinical
decision support tools. Hospitals & Health Networks, 84(5), 16-16.
Retrieved from:
http://search.proquest.com/docview/338487299?accountid=35812
References
O Munasinghe, R., Camelia, A., Abraham, T., Zida, M., & Siddique, M. (2011, May-
June). Improving the utilization of admission order sets in a computerized
physician order entry system by integrating modular disease specific order
subsets into a general medicine admission order set. Journal of the
American Informatics Association, 13 (3), 322-326.
O Matiti, M., & Trorey, G. (2008). Patients' expectations of the maintenance of their
dignity. Journal of Clinical Nursing, 17(20), 2709-2717. doi:10.1111/j.1365-
2702.2008.02365.x
O SVPOD 032 Rosary Hall Order Set Physician orders Aftercare
Orders. (2013). Retrieved from
http://orders4printsv.com/svpod032rosaryhallordersetphysicianordersafterc
areorders.aspx
O Welcome to HIPAA 101. (2012). Retrieved from http://www.hipaa-101.com/

More Related Content

What's hot

Whole systems modelling to aid commissioning of long-term conditions
Whole systems modelling to aid commissioning of long-term conditionsWhole systems modelling to aid commissioning of long-term conditions
Whole systems modelling to aid commissioning of long-term conditionsScHARR HEDS
 
UMUKOROPeterRESEARCH SCIENTIST
UMUKOROPeterRESEARCH SCIENTISTUMUKOROPeterRESEARCH SCIENTIST
UMUKOROPeterRESEARCH SCIENTISTUmukoro Peter
 
Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...
Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...
Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...Sheleste Vergara
 
Corey M. Raines Resume
Corey M. Raines ResumeCorey M. Raines Resume
Corey M. Raines ResumeCorey Raines
 
KishaMoselyResume1
KishaMoselyResume1KishaMoselyResume1
KishaMoselyResume1Kisha Mosley
 
Summer Project Contest
Summer Project Contest Summer Project Contest
Summer Project Contest jppattanaik
 
The Future of Laboratory Medicine: Understanding the New Coercions
The Future of Laboratory Medicine: Understanding the New CoercionsThe Future of Laboratory Medicine: Understanding the New Coercions
The Future of Laboratory Medicine: Understanding the New CoercionsCayeVerunque
 
Medical Laboratory Scientist
Medical Laboratory ScientistMedical Laboratory Scientist
Medical Laboratory ScientistSheena 17
 
Value of Medical Laboratory Science Personnel in Healthcare
Value of Medical Laboratory Science Personnel in HealthcareValue of Medical Laboratory Science Personnel in Healthcare
Value of Medical Laboratory Science Personnel in HealthcareJanHannahKateHayahay
 
Evidencia de vida real en oncología
Evidencia de vida real en oncologíaEvidencia de vida real en oncología
Evidencia de vida real en oncologíaMauricio Lema
 
Updated Improved Licensed Professional Cytotechnologist Resume Short form
Updated Improved Licensed Professional Cytotechnologist Resume Short formUpdated Improved Licensed Professional Cytotechnologist Resume Short form
Updated Improved Licensed Professional Cytotechnologist Resume Short formDebbie Hawkins
 
Clinical Decision Support System
Clinical Decision Support SystemClinical Decision Support System
Clinical Decision Support SystemGrace Villareal
 
Overview of Patient Reported Outcomes in SAFTINet
Overview of Patient Reported Outcomes in SAFTINet Overview of Patient Reported Outcomes in SAFTINet
Overview of Patient Reported Outcomes in SAFTINet Marion Sills
 
WHAT IS CLINICAL LABORATORY SCIENCE
WHAT IS CLINICAL LABORATORY SCIENCEWHAT IS CLINICAL LABORATORY SCIENCE
WHAT IS CLINICAL LABORATORY SCIENCEShairaTeoso1
 
Patient Safety and Clinical Laboratories
Patient Safety and Clinical LaboratoriesPatient Safety and Clinical Laboratories
Patient Safety and Clinical LaboratoriesGlacyMaeCatipon1
 
NMontgomery_Resume 12-2015-Clinical
NMontgomery_Resume 12-2015-ClinicalNMontgomery_Resume 12-2015-Clinical
NMontgomery_Resume 12-2015-ClinicalNoel Montgomery
 

What's hot (20)

Whole systems modelling to aid commissioning of long-term conditions
Whole systems modelling to aid commissioning of long-term conditionsWhole systems modelling to aid commissioning of long-term conditions
Whole systems modelling to aid commissioning of long-term conditions
 
UMUKOROPeterRESEARCH SCIENTIST
UMUKOROPeterRESEARCH SCIENTISTUMUKOROPeterRESEARCH SCIENTIST
UMUKOROPeterRESEARCH SCIENTIST
 
Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...
Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...
Value of Medical Laboratory Science Personnel and Clinical Laboratory Service...
 
Corey M. Raines Resume
Corey M. Raines ResumeCorey M. Raines Resume
Corey M. Raines Resume
 
David Escobar updated resume
David Escobar updated resumeDavid Escobar updated resume
David Escobar updated resume
 
KishaMoselyResume1
KishaMoselyResume1KishaMoselyResume1
KishaMoselyResume1
 
Summer Project Contest
Summer Project Contest Summer Project Contest
Summer Project Contest
 
The Future of Laboratory Medicine: Understanding the New Coercions
The Future of Laboratory Medicine: Understanding the New CoercionsThe Future of Laboratory Medicine: Understanding the New Coercions
The Future of Laboratory Medicine: Understanding the New Coercions
 
Medical Laboratory Scientist
Medical Laboratory ScientistMedical Laboratory Scientist
Medical Laboratory Scientist
 
Value of Medical Laboratory Science Personnel in Healthcare
Value of Medical Laboratory Science Personnel in HealthcareValue of Medical Laboratory Science Personnel in Healthcare
Value of Medical Laboratory Science Personnel in Healthcare
 
Evidencia de vida real en oncología
Evidencia de vida real en oncologíaEvidencia de vida real en oncología
Evidencia de vida real en oncología
 
Adrianne Miller, Resume
Adrianne Miller, ResumeAdrianne Miller, Resume
Adrianne Miller, Resume
 
Updated Improved Licensed Professional Cytotechnologist Resume Short form
Updated Improved Licensed Professional Cytotechnologist Resume Short formUpdated Improved Licensed Professional Cytotechnologist Resume Short form
Updated Improved Licensed Professional Cytotechnologist Resume Short form
 
Impact of Acgme Duty Hour Rules on Prolonged Length of Stay Among Medicare 4.7
Impact of Acgme Duty Hour Rules on Prolonged Length of Stay Among Medicare 4.7Impact of Acgme Duty Hour Rules on Prolonged Length of Stay Among Medicare 4.7
Impact of Acgme Duty Hour Rules on Prolonged Length of Stay Among Medicare 4.7
 
Clinical Decision Support System
Clinical Decision Support SystemClinical Decision Support System
Clinical Decision Support System
 
Overview of Patient Reported Outcomes in SAFTINet
Overview of Patient Reported Outcomes in SAFTINet Overview of Patient Reported Outcomes in SAFTINet
Overview of Patient Reported Outcomes in SAFTINet
 
WHAT IS CLINICAL LABORATORY SCIENCE
WHAT IS CLINICAL LABORATORY SCIENCEWHAT IS CLINICAL LABORATORY SCIENCE
WHAT IS CLINICAL LABORATORY SCIENCE
 
Patient Safety and Clinical Laboratories
Patient Safety and Clinical LaboratoriesPatient Safety and Clinical Laboratories
Patient Safety and Clinical Laboratories
 
Justavino, Jessica
Justavino, JessicaJustavino, Jessica
Justavino, Jessica
 
NMontgomery_Resume 12-2015-Clinical
NMontgomery_Resume 12-2015-ClinicalNMontgomery_Resume 12-2015-Clinical
NMontgomery_Resume 12-2015-Clinical
 

Similar to Systems Structures Presentation (PPP)

Evidence Based Practice Lecture 7_slides
Evidence Based Practice Lecture 7_slidesEvidence Based Practice Lecture 7_slides
Evidence Based Practice Lecture 7_slidesZakCooper1
 
CLINICAL AUDIT
CLINICAL AUDITCLINICAL AUDIT
CLINICAL AUDITS A Tabish
 
Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6
Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6
Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6Health Catalyst
 
Clinical Decision Support Systems
Clinical Decision Support SystemsClinical Decision Support Systems
Clinical Decision Support Systemsrkblacey
 
Matching the Research Design to the Study Question
Matching the Research Design to the Study QuestionMatching the Research Design to the Study Question
Matching the Research Design to the Study QuestionAcademyHealth
 
Electronic Rec.docx
Electronic Rec.docxElectronic Rec.docx
Electronic Rec.docxwrite5
 
Electronic Rec.docx
Electronic Rec.docxElectronic Rec.docx
Electronic Rec.docxwrite4
 
Measuring the Effectiveness of eHealth Initiatives in Hospitals
Measuring the Effectiveness of eHealth Initiatives in HospitalsMeasuring the Effectiveness of eHealth Initiatives in Hospitals
Measuring the Effectiveness of eHealth Initiatives in HospitalsHealth Informatics New Zealand
 
Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...
Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...
Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...Perficient, Inc.
 
Quality innovation for superior patient care
Quality innovation for superior patient careQuality innovation for superior patient care
Quality innovation for superior patient careMED E Talks
 
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...Sunil Nair
 
CLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINES
CLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINESCLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINES
CLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINESMary Ann Adiong
 
Improving patients' experiences
Improving patients' experiencesImproving patients' experiences
Improving patients' experiencesminu2
 
Health research, clinical registries, electronic health records – how do they...
Health research, clinical registries, electronic health records – how do they...Health research, clinical registries, electronic health records – how do they...
Health research, clinical registries, electronic health records – how do they...Koray Atalag
 
Asra defining value may 2015
Asra defining value may 2015Asra defining value may 2015
Asra defining value may 2015Colin McCartney
 

Similar to Systems Structures Presentation (PPP) (20)

Evidence Based Practice Lecture 7_slides
Evidence Based Practice Lecture 7_slidesEvidence Based Practice Lecture 7_slides
Evidence Based Practice Lecture 7_slides
 
CLINICAL AUDIT
CLINICAL AUDITCLINICAL AUDIT
CLINICAL AUDIT
 
Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6
Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6
Making Healthcare Waste Reduction and Patient Safety Actionable - HAS Session 6
 
MLS13 QI Workshop
MLS13 QI WorkshopMLS13 QI Workshop
MLS13 QI Workshop
 
Clinical Decision Support Systems
Clinical Decision Support SystemsClinical Decision Support Systems
Clinical Decision Support Systems
 
Matching the Research Design to the Study Question
Matching the Research Design to the Study QuestionMatching the Research Design to the Study Question
Matching the Research Design to the Study Question
 
From professional standards to information standards
From professional standards to information standardsFrom professional standards to information standards
From professional standards to information standards
 
O'donnell feb 11 (2)
O'donnell feb 11 (2)O'donnell feb 11 (2)
O'donnell feb 11 (2)
 
Immediate Implant Placement
Immediate Implant PlacementImmediate Implant Placement
Immediate Implant Placement
 
Electronic Rec.docx
Electronic Rec.docxElectronic Rec.docx
Electronic Rec.docx
 
Electronic Rec.docx
Electronic Rec.docxElectronic Rec.docx
Electronic Rec.docx
 
Measuring the Effectiveness of eHealth Initiatives in Hospitals
Measuring the Effectiveness of eHealth Initiatives in HospitalsMeasuring the Effectiveness of eHealth Initiatives in Hospitals
Measuring the Effectiveness of eHealth Initiatives in Hospitals
 
Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...
Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...
Combining Patient Records, Genomic Data and Environmental Data to Enable Tran...
 
Quality innovation for superior patient care
Quality innovation for superior patient careQuality innovation for superior patient care
Quality innovation for superior patient care
 
HL7: Clinical Decision Support
HL7: Clinical Decision SupportHL7: Clinical Decision Support
HL7: Clinical Decision Support
 
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...
Clinical Decision Support Systems - Sunil Nair Health Informatics Dalhousie U...
 
CLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINES
CLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINESCLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINES
CLINICAL PATHWAY and CLINICAL PRACTICE GUIDELINES
 
Improving patients' experiences
Improving patients' experiencesImproving patients' experiences
Improving patients' experiences
 
Health research, clinical registries, electronic health records – how do they...
Health research, clinical registries, electronic health records – how do they...Health research, clinical registries, electronic health records – how do they...
Health research, clinical registries, electronic health records – how do they...
 
Asra defining value may 2015
Asra defining value may 2015Asra defining value may 2015
Asra defining value may 2015
 

More from Debbie Fernando

Attorney Work Report - Relative verses A City's Transport System
Attorney Work Report - Relative verses A City's  Transport SystemAttorney Work Report - Relative verses A City's  Transport System
Attorney Work Report - Relative verses A City's Transport SystemDebbie Fernando
 
Evolution of Health Care Information Systems
Evolution of Health Care Information SystemsEvolution of Health Care Information Systems
Evolution of Health Care Information SystemsDebbie Fernando
 
Comparing Cognitive Changes
Comparing Cognitive ChangesComparing Cognitive Changes
Comparing Cognitive ChangesDebbie Fernando
 
Attorney Project Quadi Equina (names changed)
Attorney Project Quadi Equina (names changed)Attorney Project Quadi Equina (names changed)
Attorney Project Quadi Equina (names changed)Debbie Fernando
 
Attending an IME (names changes)
Attending an IME (names changes)Attending an IME (names changes)
Attending an IME (names changes)Debbie Fernando
 
Attorney Work Project (names changed)
Attorney Work Project (names changed)Attorney Work Project (names changed)
Attorney Work Project (names changed)Debbie Fernando
 
The Nervous System - ALS
The Nervous System - ALSThe Nervous System - ALS
The Nervous System - ALSDebbie Fernando
 
Health care business analysis
Health care business analysisHealth care business analysis
Health care business analysisDebbie Fernando
 
Promoting communication to improve patient care
Promoting communication to improve patient carePromoting communication to improve patient care
Promoting communication to improve patient careDebbie Fernando
 
Sexual harrassment in the workplace
Sexual harrassment in the workplaceSexual harrassment in the workplace
Sexual harrassment in the workplaceDebbie Fernando
 
Clinical orders presentation
Clinical orders presentationClinical orders presentation
Clinical orders presentationDebbie Fernando
 
Health care marketing plan presentation
Health care marketing plan presentationHealth care marketing plan presentation
Health care marketing plan presentationDebbie Fernando
 
Evolution in Health Care Delivery- Urgent Care Centers PPP
Evolution in Health Care Delivery- Urgent Care Centers PPPEvolution in Health Care Delivery- Urgent Care Centers PPP
Evolution in Health Care Delivery- Urgent Care Centers PPPDebbie Fernando
 
Hospital Financial Analysis
Hospital Financial AnalysisHospital Financial Analysis
Hospital Financial AnalysisDebbie Fernando
 
Health Campaign to decrease Heart Disease
Health Campaign to decrease Heart Disease Health Campaign to decrease Heart Disease
Health Campaign to decrease Heart Disease Debbie Fernando
 
Public Health and Health Care
Public Health and Health CarePublic Health and Health Care
Public Health and Health CareDebbie Fernando
 
Evolution of Health Care Information Systems
Evolution of Health Care Information SystemsEvolution of Health Care Information Systems
Evolution of Health Care Information SystemsDebbie Fernando
 
Comparative summary paper
Comparative summary paperComparative summary paper
Comparative summary paperDebbie Fernando
 

More from Debbie Fernando (20)

heart diagram
heart diagramheart diagram
heart diagram
 
Attorney Work Report - Relative verses A City's Transport System
Attorney Work Report - Relative verses A City's  Transport SystemAttorney Work Report - Relative verses A City's  Transport System
Attorney Work Report - Relative verses A City's Transport System
 
Evolution of Health Care Information Systems
Evolution of Health Care Information SystemsEvolution of Health Care Information Systems
Evolution of Health Care Information Systems
 
Comparing Cognitive Changes
Comparing Cognitive ChangesComparing Cognitive Changes
Comparing Cognitive Changes
 
Attorney Project Quadi Equina (names changed)
Attorney Project Quadi Equina (names changed)Attorney Project Quadi Equina (names changed)
Attorney Project Quadi Equina (names changed)
 
Attending an IME (names changes)
Attending an IME (names changes)Attending an IME (names changes)
Attending an IME (names changes)
 
Attorney Work Project (names changed)
Attorney Work Project (names changed)Attorney Work Project (names changed)
Attorney Work Project (names changed)
 
The Nervous System - ALS
The Nervous System - ALSThe Nervous System - ALS
The Nervous System - ALS
 
Health care business analysis
Health care business analysisHealth care business analysis
Health care business analysis
 
Promoting communication to improve patient care
Promoting communication to improve patient carePromoting communication to improve patient care
Promoting communication to improve patient care
 
Sexual harrassment in the workplace
Sexual harrassment in the workplaceSexual harrassment in the workplace
Sexual harrassment in the workplace
 
Clinical orders presentation
Clinical orders presentationClinical orders presentation
Clinical orders presentation
 
Health care marketing plan presentation
Health care marketing plan presentationHealth care marketing plan presentation
Health care marketing plan presentation
 
Evolution in Health Care Delivery- Urgent Care Centers PPP
Evolution in Health Care Delivery- Urgent Care Centers PPPEvolution in Health Care Delivery- Urgent Care Centers PPP
Evolution in Health Care Delivery- Urgent Care Centers PPP
 
Healthcare budget paper
Healthcare budget paperHealthcare budget paper
Healthcare budget paper
 
Hospital Financial Analysis
Hospital Financial AnalysisHospital Financial Analysis
Hospital Financial Analysis
 
Health Campaign to decrease Heart Disease
Health Campaign to decrease Heart Disease Health Campaign to decrease Heart Disease
Health Campaign to decrease Heart Disease
 
Public Health and Health Care
Public Health and Health CarePublic Health and Health Care
Public Health and Health Care
 
Evolution of Health Care Information Systems
Evolution of Health Care Information SystemsEvolution of Health Care Information Systems
Evolution of Health Care Information Systems
 
Comparative summary paper
Comparative summary paperComparative summary paper
Comparative summary paper
 

Recently uploaded

Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...
Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...
Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...delhimodelshub1
 
Kukatpally Call Girls Services 9907093804 High Class Babes Here Call Now
Kukatpally Call Girls Services 9907093804 High Class Babes Here Call NowKukatpally Call Girls Services 9907093804 High Class Babes Here Call Now
Kukatpally Call Girls Services 9907093804 High Class Babes Here Call NowHyderabad Call Girls Services
 
College Call Girls Mumbai Alia 9910780858 Independent Escort Service Mumbai
College Call Girls Mumbai Alia 9910780858 Independent Escort Service MumbaiCollege Call Girls Mumbai Alia 9910780858 Independent Escort Service Mumbai
College Call Girls Mumbai Alia 9910780858 Independent Escort Service Mumbaisonalikaur4
 
hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...
hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...
hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...delhimodelshub1
 
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591adityaroy0215
 
indian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsi
indian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsiindian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsi
indian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana TulsiHigh Profile Call Girls Chandigarh Aarushi
 
College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...
College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...
College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...delhimodelshub1
 
Escorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal Number
Escorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal NumberEscorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal Number
Escorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal NumberCall Girls Service Gurgaon
 
Call Girls Madhapur 7001305949 all area service COD available Any Time
Call Girls Madhapur 7001305949 all area service COD available Any TimeCall Girls Madhapur 7001305949 all area service COD available Any Time
Call Girls Madhapur 7001305949 all area service COD available Any Timedelhimodelshub1
 
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...High Profile Call Girls Chandigarh Aarushi
 
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in LucknowRussian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknowgragteena
 
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...Call Girls Noida
 
Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...
Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...
Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...soniya singh
 
Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...
Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...
Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...delhimodelshub1
 
Call Girls in Hyderabad Lavanya 9907093804 Independent Escort Service Hyderabad
Call Girls in Hyderabad Lavanya 9907093804 Independent Escort Service HyderabadCall Girls in Hyderabad Lavanya 9907093804 Independent Escort Service Hyderabad
Call Girls in Hyderabad Lavanya 9907093804 Independent Escort Service Hyderabaddelhimodelshub1
 
VIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service Hyderabad
VIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service HyderabadVIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service Hyderabad
VIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service Hyderabaddelhimodelshub1
 
Russian Call Girls in Raipur 9873940964 Book Hot And Sexy Girls
Russian Call Girls in Raipur 9873940964 Book Hot And Sexy GirlsRussian Call Girls in Raipur 9873940964 Book Hot And Sexy Girls
Russian Call Girls in Raipur 9873940964 Book Hot And Sexy Girlsddev2574
 

Recently uploaded (20)

Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...
Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...
Russian Call Girls in Hyderabad Ishita 9907093804 Independent Escort Service ...
 
Kukatpally Call Girls Services 9907093804 High Class Babes Here Call Now
Kukatpally Call Girls Services 9907093804 High Class Babes Here Call NowKukatpally Call Girls Services 9907093804 High Class Babes Here Call Now
Kukatpally Call Girls Services 9907093804 High Class Babes Here Call Now
 
College Call Girls Mumbai Alia 9910780858 Independent Escort Service Mumbai
College Call Girls Mumbai Alia 9910780858 Independent Escort Service MumbaiCollege Call Girls Mumbai Alia 9910780858 Independent Escort Service Mumbai
College Call Girls Mumbai Alia 9910780858 Independent Escort Service Mumbai
 
VIP Call Girls Lucknow Isha 🔝 9719455033 🔝 🎶 Independent Escort Service Lucknow
VIP Call Girls Lucknow Isha 🔝 9719455033 🔝 🎶 Independent Escort Service LucknowVIP Call Girls Lucknow Isha 🔝 9719455033 🔝 🎶 Independent Escort Service Lucknow
VIP Call Girls Lucknow Isha 🔝 9719455033 🔝 🎶 Independent Escort Service Lucknow
 
hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...
hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...
hyderabad call girl.pdfRussian Call Girls in Hyderabad Amrita 9907093804 Inde...
 
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
 
indian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsi
indian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsiindian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsi
indian Call Girl Panchkula ❤️🍑 9907093804 Low Rate Call Girls Ludhiana Tulsi
 
College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...
College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...
College Call Girls Hyderabad Sakshi 9907093804 Independent Escort Service Hyd...
 
Escorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal Number
Escorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal NumberEscorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal Number
Escorts in Gurgaon Aarohi 9711199171 VIP Call Girl in Gurgaon Personal Number
 
Call Girls Madhapur 7001305949 all area service COD available Any Time
Call Girls Madhapur 7001305949 all area service COD available Any TimeCall Girls Madhapur 7001305949 all area service COD available Any Time
Call Girls Madhapur 7001305949 all area service COD available Any Time
 
Call Girl Lucknow Gauri 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
Call Girl Lucknow Gauri 🔝 8923113531  🔝 🎶 Independent Escort Service LucknowCall Girl Lucknow Gauri 🔝 8923113531  🔝 🎶 Independent Escort Service Lucknow
Call Girl Lucknow Gauri 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
 
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
Call Girls Service Chandigarh Grishma ❤️🍑 9907093804 👄🫦 Independent Escort Se...
 
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in LucknowRussian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
 
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
pOOJA sexy Call Girls In Sector 49,9999965857 Young Female Escorts Service In...
 
Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...
Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...
Gurgaon iffco chowk 🔝 Call Girls Service 🔝 ( 8264348440 ) unlimited hard sex ...
 
Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...
Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...
Russian Call Girls Hyderabad Indira 9907093804 Independent Escort Service Hyd...
 
Call Girls in Lucknow Esha 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
Call Girls in Lucknow Esha 🔝 8923113531  🔝 🎶 Independent Escort Service LucknowCall Girls in Lucknow Esha 🔝 8923113531  🔝 🎶 Independent Escort Service Lucknow
Call Girls in Lucknow Esha 🔝 8923113531 🔝 🎶 Independent Escort Service Lucknow
 
Call Girls in Hyderabad Lavanya 9907093804 Independent Escort Service Hyderabad
Call Girls in Hyderabad Lavanya 9907093804 Independent Escort Service HyderabadCall Girls in Hyderabad Lavanya 9907093804 Independent Escort Service Hyderabad
Call Girls in Hyderabad Lavanya 9907093804 Independent Escort Service Hyderabad
 
VIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service Hyderabad
VIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service HyderabadVIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service Hyderabad
VIP Call Girls Hyderabad Megha 9907093804 Independent Escort Service Hyderabad
 
Russian Call Girls in Raipur 9873940964 Book Hot And Sexy Girls
Russian Call Girls in Raipur 9873940964 Book Hot And Sexy GirlsRussian Call Girls in Raipur 9873940964 Book Hot And Sexy Girls
Russian Call Girls in Raipur 9873940964 Book Hot And Sexy Girls
 

Systems Structures Presentation (PPP)

  • 1. System Structures Presentation: Clinical Orders for Specific Diagnosis Team A Maureen Alfonso Alison Cayson Debbie Fernando Pam Gordon Visal Srey HCS/533 May 27, 2013 Jacqueline Sommerville
  • 2. An Introduction: Standard Clinical Orders O Benefits O Save time and money O Decrease medication errors O Simplify admission process O Obtain data O Concerns O Rush patient care O Ignore the individual
  • 3. Impact on Health Care Delivery O Reduce time to place common orders O Ensure quality of care O Reduce medical errors O Provide consistent evidence-based standards O Comply with Core Measures O Improve quality of patient outcomes O Reduce length of stay
  • 4. Training Involved O Physicians O Check allergies and contraindications O Mark wanted orders and cross out unwanted orders O Nurses O Carry out orders O Double check allergies and contraindications O Ancillary Staff O Understand the orders O Know the routine O All Staff know and follow HIPAA regulations
  • 5. Impact on Future Evolutions O Able to update for changes in best practice O Multiple order sets available for secondary diagnoses O Lower cost of care delivery O Reduce adverse events and errors O More disease specific as new diseases are found O Ability to add to or delete as needed
  • 6. Maintenance ComponentsO Specific coded IDs for patients O Coded bracelets O Numerical ID codes O Provider Access O Encrypted password O Must be changed periodically O Timely deletion of patient information O Research and Statistics O Patient information removed O Other information to staff as necessary O System updates as necessary
  • 7. Implication of Privacy and Security Management OLimited number of order sets OAttention to alerts OUser-specific access to order sets OPassword protected OStaff to sign off when not using OPrivacy screens for computer monitors
  • 8. Data Collection Usage O Illnesses commonly found in area O Illnesses commonly treated O Communicable diseases O Consider new vaccines O Track STDs O Follow ups O Types of medication prescribed O Number of different medications prescribed O Unnecessary usage of hospital emergency services
  • 9. Steps in System Development Life Cycle O Project Definition O User Requirements O System Requirements O Analysis and Design O System Build O Prototype O Training O Implementation O Maintenance and Upgrades
  • 10. Evaluation of Structure Effectiveness O Interdisciplinary collaboration O Decrease deviations in patient care O Develop and implement best evidence-based operational and clinical models O Provide clinical decision support at point of care O Improve quality of care O Decrease patient errors
  • 11. Hardware Issues to be Considered O Number of Computers O Stationary O Laptops O Network O Printers O Number O Functions O Locations O Miscellaneous
  • 12. Sample Order Sheet for Medications for Asthma
  • 14. In Conclusion O Impact of standard clinical orders to be determined by users O Time savings and convenience O Quality care and the human factor vs.
  • 15. References O Balci, O. (2012, July). A life cycle for modeling and simulation. Simulation 88(7), 870-883. O Caliendo, M. (2013). Rutgers ranks urban hospitals on usage. NJBIZ, 26(14), 2-3. Retrieved from http://search.proquest.com/docview/1350300444?accountid=35812 O Chisolm, D., McAlearney, A., Veneris, S., Fisher, D., Holtzlander, M., & McCoy, K. (2006). The role of computerized order sets in pediatric inpatient asthma treatment. Pediatric Allergy and Immunology, 17(3), 199-206. O Feldman, L. (2010). Hospitals advised to be thorough when deploying clinical decision support tools. Hospitals & Health Networks, 84(5), 16-16. Retrieved from: http://search.proquest.com/docview/338487299?accountid=35812
  • 16. References O Munasinghe, R., Camelia, A., Abraham, T., Zida, M., & Siddique, M. (2011, May- June). Improving the utilization of admission order sets in a computerized physician order entry system by integrating modular disease specific order subsets into a general medicine admission order set. Journal of the American Informatics Association, 13 (3), 322-326. O Matiti, M., & Trorey, G. (2008). Patients' expectations of the maintenance of their dignity. Journal of Clinical Nursing, 17(20), 2709-2717. doi:10.1111/j.1365- 2702.2008.02365.x O SVPOD 032 Rosary Hall Order Set Physician orders Aftercare Orders. (2013). Retrieved from http://orders4printsv.com/svpod032rosaryhallordersetphysicianordersafterc areorders.aspx O Welcome to HIPAA 101. (2012). Retrieved from http://www.hipaa-101.com/

Editor's Notes

  1. This power point presentation is an examination of standard clinical orders for specific admission diagnosis. These standard order sets are being used by an increasing number of health care organizations because they provide many benefits. Their use represents best practices because admitting physicians save time and money, medication errors are decreased, and the admission process is simplified. Also, facilities find it easier to gather data for analysis once admitting physicians adopt standard order sets. With the data obtained, it is possible to determine which illnesses are common, which medications are prescribed, and what hospital services are being used. This information allows physicians to devise more effective treatments and hospital administrators to develop more efficient operating strategies. Though, standard clinical orders for specific admission diagnosis have many benefits, health care providers should remember that these standard orders can and should be modified, if necessary. Tests or procedures need to be added or crossed out after evaluating a patient's health history and individual needs; quality care should never be sacrificed for convenience.
  2. Order sets can reduce the time needed to enter orders. Physicians frequently order the same tests, procedures, and medications for specific diagnoses. Quality of care is improved by inclusion of orders necessary for patient safety. Medical errors and omissions can be reduced as order sets have been pre-approved for specific disease processes. According to "HC Pro" (2013), “These orders have been carefully developed by a team of physicians who consult medical literature for evidence-based standards.” Orders required to meet core measures are included. This is especially important for patients with multiple diagnoses. Studies have demonstrated that such admission order sets improve immunization rates and appropriate antibiotic use, as well as reduce the length of hospital stays (Munasinghe, 2011).
  3. Physicians need to be trained to use pre-printed orders. They need to be reminded to check a patient’s allergies or other contraindications against the pre-written orders. Instructions to make a check mark next to the orders that apply to a particular patient and mark through the ones that do not apply should also be included. Nurses need to be trained on how to read and sign off on the orders. They need to know that only the orders with check marks are to be carried out. The ones marked through are to be ignored. The nurses should also be instructed to re-check patient allergies and contraindications. Even if the physician has checked these, the nurse needs to check them too. The ancillary staff also needs to know what the checked and marked through orders mean. They need to make certain the nurse has signed off on the orders before they are carried out. For example, if a x-ray of the left leg is ordered, the x-ray tech needs to make sure the nurse has signed off on the order before she does the x-ray. This will be another way to confirm that the correct leg is being x-rayed. If the physician ordered an x-ray of the left leg, and the nurse verified that it is the left leg and signed off on the orders, then the x-ray tech can perform the x-ray. The training of the system offers an ideal time to reinforce all staff to the HIPAA rules and regulations. They should be able to name the main 5 rules: Security Rule, Privacy Rule, Identifiers Rule, Transaction Rule, and Enforcement Rule.
  4. Order sets can be revised to reflect updates in best practices and to incorporate additions to core measures and required documentation. Patients with co-morbidities may require additional orders specific for that diagnosis. Appropriate treatment from the time of admission can reduce length of stay, prevent un-necessary procedures, and lower the cost of delivering care. Some systems can trigger alerts for conflicting orders, duplication of orders, or incompatible medications and allergies. This can assist in the reduction of adverse events and medical errors. It can also cut down on the amount of time the staff wastes with duplicate orders. Much time is wasted when the nurse finds and order that is a repeat and then has to go back and make sure the first one was carried out. As new diseases are uncovered, specific orders can be added for this disease. Based on best practice evidence based, orders and medications can be added to or deleted from the orders.
  5. Many large health care facilities are using ID bracelets to ensure the privacy and security of patient data. Specific codes are found on the bracelet along with the patient’s first and last names and date of birth (Matiti & Trorey, 2008). These bracelets are completely coded with a scan bar or encoded with an alphanumeric barcode. Health care providers also need a password to access a patient’s health records (Matiti & Trorey, 2008). Finally, patient information is timed for automatic deletion once the patient has been discharged from the hospital. As a result, any data being used for research and statistical purposes will require private information such as name, birth date, social security number, home address, and phone number to be deleted (Matiti & Trorey, 2008).
  6. Specific order sets should be limited to specific diagnoses. Customized sets for individual physicians can overload the system and reduce efficiency. Physicians must pay close attention to alerts triggered to prevent adverse events. All access should be limited to appropriate personnel. Individual user access and password protection with alerts for inappropriate access will ensure compliance with HIPAA and other local, state and federal regulations. Each computer will be equipped with a privacy screen so that by-passers cannot view any information
  7. Specific information gathered from patients admitted to a facility will be used to develop more effective treatments for future patients and reduce operating costs for the facility. The information will figure out the illnesses commonly found within the community, as well as their prevalence (Caliendo, 2013). This data will track the types of medications commonly used or needed so the facility can order appropriately (Caliendo, 2013). When patients present with a communicable disease, it is important for the facility to diagnosis that as soon as possible and be able to relay that information to other facilities is the area to be able to track and treat the disease. If a common disease is frequent, consideration of developing a vaccine may be considered. Sexually transmitted diseases also need tracking. It has been found recently, that the older generation are transmitting STDs, probably related to the common use of erectile dysfunction medications. Finally, the collected data will indicate if patients are utilizing hospital emergency services for true emergencies, or if an urgent care center for non-emergency services is needed (Caliendo, 2013).
  8. The steps in the system development life cycle are planning, analysis, design and implementation, and includes evaluating the organization's objectives. System analysis defines project goals and end-user information needs. System design details the features and operations desired by the organization. The development phase is where the computer program is written, integrated and implemented. Training has to be provided and continuously evaluated for effectiveness. Maintenance and upgrades are the changes, corrections and additions made necessary by technological advances and the evolving needs of the organization (Balci, 2012).
  9. Integrating order subsets for the most common medical diagnoses into a general medical admission order set can be evaluated by analyzing the utilization patterns of health care providers. During a 16-month study, results showed the total number of order sets used by clinicians in all departments increased fivefold in the implementation phase of the pilot. Integration of disease specific order subsets into a single general admission order set significantly improved the overall adoption of order sets by clinicians (Munasinge etal, 2011). Disease specific order sets ensure that orders meet performance measures, use evidence- based best practices, and provide clinical decision support to health care providers. These incorporated system structures support interdisciplinary collaboration and reduce adverse events and medical errors.
  10. Hardware is also an important consideration when converting to pre-printed orders. The steering committee needs to decide whether there will be a computer for every nurse. Will every physician have his own? Will two nurses share a computer? How many will be “hooked to a table” and how many will be portable? Possible locations for the major printer will need to be considered. Will the physician print out his orders when the patient arrives or will the nurse have several copies already printed out and placed in a folder? The most effective method would be for each physician to have a folder containing several copies of his group’s orders that is stored in an accessible location. The appointed person could then pull the orders from the folder and place them in the chart for the physician. The Network will have to be chosen and named. Other necessary decisions are who will make certain there is paper in the printer, who will be responsible for ordering ink cartridges, and who will make copies. Before purchasing a printer, it is important to decide whether it will also scan, collate, print both sides, etc.. Printer speed needs to be considered too. Other hardware must be purchased. Each computer will need a mouse (wired or wireless) and computer stands, holders or carts, paper holders and other small attachments will also be required.
  11. Fig. 1. Sample screen shot for asthma order set. This screen shot of a segment of the asthma order set shows the standard format used for all order sets. Clinicians using order entry may check as many options as they deem necessary. Selected orders are pre-checked to ensure that clinicians consider these orders for all patients. Clinicians, however, maintain the option to uncheck pre-checked items.
  12. Sample of a physician order set for aftercare of on opioid addiction patient. These are manufactured by a company and are for sale on the internet.
  13. Standard clinical orders for specific admission diagnosis provide many benefits to patients, physicians, and hospitals, but there are concerns. Some clinicians worry that the use of standard order sets will cause providers to rush through the patient consultation and ignore rare and unusual symptoms. The impact of standard clinical orders on health care will be determined by the providers who use them. Most health care providers want to deliver high-quality care. They realize that these standard order sets are only part of testing and treating patients; it is still necessary to take a medical history, evaluate the patient, and acknowledge the individual. The human factor still needs to be part of the health care equation.