A Plan for Multiagency Health Care Data Sharing in Homeless CareGwendolyn S. Williams, DNP StudentThe University of AlabamaCapstone College of NursingSummer 2011
AbstractThis multiphase process quality improvement project was designed to improve clinical data sharing systems used by an emergency department and a community health center that treats and refers homeless patients between them.
Abstract	This multiphase quality improvement project was designed to enhance clinical data sharing systems used by an emergency department and a community health center that treats and refers homeless patients between them.  Data obtained from a variety of assessment sources supported the need for improving communication between these two organizations in the care of homeless individuals in a southeastern community in the U.S.  Subsequently, a clinical information data sharing plan was developed to enhance the clinician’s ability to access accurate medical information wherever the patient seeks care.
IntroductionHealth care for homeless individuals can be a complex endeavor for communities.  The common transitory characteristics of this population compromised by myriad health care complexities require the combined involvement of multiple institutions in the care of each patient.  Often the burden of providing that care rest with non-profit public agencies.  This burden includes financial cost but also consist of unique problems associated with coordination of care (Savage et al., 2006).  For example, usually when homeless individuals seek care from a health facility, they have no medical records due to inconsistent medical treatment (Cavacuiti & Svoboda, 2008).	There is a need for accurate, complete health information to be available to clinicians at the point of service when providing care to patients (Buck, Rochon & Turley, 2005).   The use of information technology makes it easier to manage complex disease processes as often seen in homeless individuals (Cavacuiti & Svoboda, 2008).  At present the internet and various interface software engines can link patient data from multiple institutions enabling immediate decision making.
PurposeThe purpose of this project was to enhance clinical data sharing between an ED and CHC to ultimately improve service access for homeless persons in this community.  Specifically, the project sought to facilitate the flow of accurate information at the point of care using multiphase process oriented quality improvement methods.
MethodsPhase I AssessmentThe first phase involved assessment and included academic research of the topic.  With the assistance of library staff from the University of Alabama and an information specialist, a literature search was performed of PubMed and Medline using MeSH terms and keywords including homeless health care needs, integrated clinical delivery systems, multi-disciplinary care coordination,  and electronic medical records.
Design	This is a multiphase process oriented quality improvement project.  This project has four phases: Assessment-  existing clinical data sharing procedures between the organizations Planning- develop plans to enhance current data sharing systems Implementation- guided by the new data sharing model Evaluation- include process and outcomes measures
Assessment Data Collection  The assessment of existing tracking and referral, discharge planning, and clinical information exchange between the two organizations was performed using a variety of sources including a questionnaire.  A list of essential questions and their underlying rationale was generated from findings in the literature.  In addition, the questionnaire design of Cavacuiti and Svoboda (2008) was utilized as a primary framework in choosing appropriate questions for conducting interviews.    With the assistance of each organization, individuals identified by the managers as most knowledgeable about existing referral processes and health information sharing for homeless patients were interviewed using the questionnaire.
Assessment Data AnalysisThe response to each question was recorded by the author.  The  recorded notes were written in narrative format.  To improve the display of data the questionnaire was formatted in tabular design.   The organization’s responses to each question was  summarized in the response tab.
Assessment FindingsAssessment responses revealed that the two organizations were currently sharing electronic health data through the hospital’s MEDITECH system.  Presently, the CHC is only allowed access to their patient’s outpatient laboratory and diagnostics via the MEDITECH system.  To support further clinical data sharing, the CHC needs access to patient’s summary data from the hospital’s MEDITECH system for referrals shared between the organizations.
Interview QuestionnaireQUESTION1.       How many homeless are seen in a month?   2.      What are common services you provide to homeless?3.      What are patient outcomes of common services provided by your organization? 4.      What common health problems do you see in homeless? 5.       What are the demographics of homeless seen?RESPONSE	The CHC does not have a system for tracking this data; an estimate of approximately 25 referrals of homeless per week with a total number of 300 frequent system wide users was given.   The ED does not have a system for tracking this data.	The CHC provides medical, case management, psychosocial assessments, transportation, and dental services.  The ED does not track this information.	Neither organization tracks this information.	The CHC sees patients with hypertension, diabetes, skin disorders, respiratory issues, depression, substance abuse, and vaginal disorders.  The ED does not track this information.	The CHC predominately treats Caucasian males between the ages of early 20s to middle 50s and a small number of single mothers from a local shelter.  The ED does not track this information.
Interview Questionnaire	The CHC reported that homeless primarily reside in Tuscaloosa in shelters, double with relatives, or foster care, while a small number transition from surrounding cities and states.  The ED does not track this information.	The CHC uses the NEXGEN EMR system; however, implementation has not occurred at the health care for homeless (HCH) program location.  The ED utilizes the emergency department management (EDM) module within the MEDITECH EMR system.	The CHC system has this capability when fully implemented. The ED MEDITECH system has this capability pending granting of access.	Standard clinical data for example, patient demographics, medical and social histories, etc. are collected by each organization.	The CHC’s NEXGEN system is secure web based, enabling clinical data exchange between departments and with other organizations.  The ED’s MEDITECH system is proprietary, it can only be modified by the software vendor and is not available free of choice.	Consent forms are used by both organizations.	Both organizations have referral and interagency agreements regarding shared patient referrals.	The CHC’s HCH program has service requirement policies that address patients without ID.  The ED staff utilizes visual ID of frequent users and data matching components in its EMR.What are the migration patterns of homeless seen?Does your organization use EMRs?  Are the EMRs used by multiple disciplines at multiple sites?What data does the EMR collect?Is the EMR open source or web based?How do you insure privacy of EMR information? How is consent obtained to share EMR data between organizations? How does the EMR track individuals without identification (ID)?  
Phase II PlanningDuring the planning phase a clinical data integration plan was prepared modifying the MEDITECH system to allow the sharing of specific health care data between the two institutions.Phase I and II were the focus of the author’s work.
Clinical Health Data Integration Plan
Conclusions The planning and development of large quality improvement processes like clinical data integration systems is a unique opportunity for advanced practice nurses to leverage existing HIT investments through cost savings, enhance work flow processes,  and increase organizational efficiency and patient specific data accessibility (Sensmeier, 2008).   The resulting positive outcomes may provide nurses with useful benchmarking information for planning future process improvement initiatives.
ReferencesBuck, D. S., Rochon, D., & Turley, J. P. (2005). Taking it to the streets: Recording medical outreach data on personal digital assistants. Computers, Informatics, Nursing : CIN, 23(5), 250-255. Cavacuiti, C., & Svoboda, T. (2008). The use of electronic medical records for homeless outreach. Journal of Health Care for the Poor and Underserved, 19(4), 1270-1281.Savage, C. L., Lindsell, C. J., Gillespie, G. L., Dempsey, A., Lee, R. J., & Corbin, A. (2006). Health care needs of homeless adults at a nurse-managed clinic. Journal of Community Health Nursing, 23(4), 225-234. doi:10.1207/s15327655jchn2304_3 Sensmeier, J. (2008). Deep impact: Informatics and nursing practice.  IT Solutions, September, 2-6.

More Related Content

PPT
Health Information Exchange (HIE)
PDF
PDF
J1803026569
PPTX
Nur3563 group project sol1 2
PPTX
Consumer health informatics for people who use AAC: Views on e-health records...
PDF
ONC – CMS Principles and Strategy for Accelerating Health Information Exch...
PDF
FTC Spring Privacy Series: Consumer Generated and Controlled Health Data
PPT
Team Sol2 01 Health Care Informatics Power Point
Health Information Exchange (HIE)
J1803026569
Nur3563 group project sol1 2
Consumer health informatics for people who use AAC: Views on e-health records...
ONC – CMS Principles and Strategy for Accelerating Health Information Exch...
FTC Spring Privacy Series: Consumer Generated and Controlled Health Data
Team Sol2 01 Health Care Informatics Power Point

What's hot (20)

PPTX
Using Routine Data to Improve ART Retention: Examples and Lessons Learned fro...
PDF
Medical informatics report
PDF
Medical Informatics Update 2013 Program
PPT
PPT
Practicum presentation nidhi 2013
PPTX
Accountable Care Workgroup: Draft Recommendations
PPT
Electronic Medical Records - MxSecure
PPTX
National E-health
PDF
Assessment of Data Use for Malaria Program Decision Making in the Democratic ...
PDF
E-health technologies show promise in developing countries
PPTX
Healthcare in BI
PPTX
Software management System
PDF
eHealth: The Next Building Block for Thailand's Healthcare System
PPTX
Title
PDF
‘Enabling technologies’ and ‘user participation’ as main factors
PPT
2009 Kegler Brown HIT Seminar
DOCX
information technology in healthcare
PPTX
The Impact Of Information Technology (IT) On The Healthcare Sector
PPTX
Introduction to Quality Improvement and Health Information Technology
PPTX
Patient Centered Care | Unit 2c Lecture
Using Routine Data to Improve ART Retention: Examples and Lessons Learned fro...
Medical informatics report
Medical Informatics Update 2013 Program
Practicum presentation nidhi 2013
Accountable Care Workgroup: Draft Recommendations
Electronic Medical Records - MxSecure
National E-health
Assessment of Data Use for Malaria Program Decision Making in the Democratic ...
E-health technologies show promise in developing countries
Healthcare in BI
Software management System
eHealth: The Next Building Block for Thailand's Healthcare System
Title
‘Enabling technologies’ and ‘user participation’ as main factors
2009 Kegler Brown HIT Seminar
information technology in healthcare
The Impact Of Information Technology (IT) On The Healthcare Sector
Introduction to Quality Improvement and Health Information Technology
Patient Centered Care | Unit 2c Lecture
Ad

Viewers also liked (15)

PPTX
FaceBook Killed Our Private Life?
PPTX
E portfolio
DOCX
Bharti airtel
PPTX
Assignment 6: The alienist
PPT
Online Learning Resourses
PPTX
Introduction to Open Education Resources (OER)
PPTX
Wiki in Teaching and Learning
PPTX
Quality Assurance of Open Education Resources (OER)- An Introduction
PPTX
Developing audio and video as teaching aids
PPT
Audit conduct and report
PPT
Overview of Audits and Inspections in Clinical Research
PPT
Development of Self Learning Material
PPTX
Audio and video in e-content development
PPTX
Framework to Assess the Quality of Open Education Resources (OER)
DOCX
Pbs pj thn2 mac 2015
FaceBook Killed Our Private Life?
E portfolio
Bharti airtel
Assignment 6: The alienist
Online Learning Resourses
Introduction to Open Education Resources (OER)
Wiki in Teaching and Learning
Quality Assurance of Open Education Resources (OER)- An Introduction
Developing audio and video as teaching aids
Audit conduct and report
Overview of Audits and Inspections in Clinical Research
Development of Self Learning Material
Audio and video in e-content development
Framework to Assess the Quality of Open Education Resources (OER)
Pbs pj thn2 mac 2015
Ad

Similar to Schproppt doc.final (20)

PDF
Why Electronic Health Records are Ill Suited for Population Health 012616
PDF
Why Electronic Health Records are Ill Suited for Population Health
PPTX
Me hi hie-landscape-webinar-2014-june
PDF
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
PDF
Health Homes Require More Than EHRs
PDF
Health Homes Require More Than EHRs
PPTX
THE LARGE DATA DEMO - ONE MODEL
DOCX
826 Unertl et al., Describing and Modeling WorkflowResearch .docx
PPTX
Poster Presentation UT Austin
DOCX
Towards a learning health system
DOCX
Evolution of Health Care Paper and TimelineThere are specifi.docx
DOCX
Use of Electronic Technologies to Promote Community and Person.docx
PDF
Patient Data Collection Methods. Retrospective Insights.
DOCX
NURS 521 Nursing Informatics And Technology.docx
PDF
Digital Learning, Health, and Literacy: A Vision from Thailand (October 10, 2...
DOCX
MHA6999 SEMINAR IN HEALTHCARE CASES-- WEEK 2 LECTURE, DISCUSSION,
PDF
J0956064
PPTX
Misadventures in Interoperability
PDF
Improving Patient Health Outcomes with an EHR whitepaper
PDF
PHM Tools and Strategies to Support Care Coordination
Why Electronic Health Records are Ill Suited for Population Health 012616
Why Electronic Health Records are Ill Suited for Population Health
Me hi hie-landscape-webinar-2014-june
Adoption of Integrated Healthcare Information System in Nairobi County: Kenya...
Health Homes Require More Than EHRs
Health Homes Require More Than EHRs
THE LARGE DATA DEMO - ONE MODEL
826 Unertl et al., Describing and Modeling WorkflowResearch .docx
Poster Presentation UT Austin
Towards a learning health system
Evolution of Health Care Paper and TimelineThere are specifi.docx
Use of Electronic Technologies to Promote Community and Person.docx
Patient Data Collection Methods. Retrospective Insights.
NURS 521 Nursing Informatics And Technology.docx
Digital Learning, Health, and Literacy: A Vision from Thailand (October 10, 2...
MHA6999 SEMINAR IN HEALTHCARE CASES-- WEEK 2 LECTURE, DISCUSSION,
J0956064
Misadventures in Interoperability
Improving Patient Health Outcomes with an EHR whitepaper
PHM Tools and Strategies to Support Care Coordination

Recently uploaded (20)

PDF
OSCE SERIES ( Questions & Answers ) - Set 3.pdf
PPTX
Radiation Dose Management for Patients in Medical Imaging- Avinesh Shrestha
PDF
The Digestive System Science Educational Presentation in Dark Orange, Blue, a...
PPT
Rheumatology Member of Royal College of Physicians.ppt
PPTX
Reading between the Rings: Imaging in Brain Infections
PDF
OSCE Series Set 1 ( Questions & Answers ).pdf
PPT
Infections Member of Royal College of Physicians.ppt
PPTX
HYPERSENSITIVITY REACTIONS - Pathophysiology Notes for Second Year Pharm D St...
PPT
nephrology MRCP - Member of Royal College of Physicians ppt
PPTX
Acute Coronary Syndrome for Cardiology Conference
PPTX
Neoplasia III.pptxjhghgjhfj fjfhgfgdfdfsrbvhv
PPTX
preoerative assessment in anesthesia and critical care medicine
PPT
neurology Member of Royal College of Physicians (MRCP).ppt
PDF
B C German Homoeopathy Medicineby Dr Brij Mohan Prasad
PDF
AGE(Acute Gastroenteritis)pdf. Specific.
PPTX
Hearthhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
PDF
Lecture 8- Cornea and Sclera .pdf 5tg year
PPTX
Wheat allergies and Disease in gastroenterology
PDF
Transcultural that can help you someday.
PPTX
Introduction to Medical Microbiology for 400L Medical Students
OSCE SERIES ( Questions & Answers ) - Set 3.pdf
Radiation Dose Management for Patients in Medical Imaging- Avinesh Shrestha
The Digestive System Science Educational Presentation in Dark Orange, Blue, a...
Rheumatology Member of Royal College of Physicians.ppt
Reading between the Rings: Imaging in Brain Infections
OSCE Series Set 1 ( Questions & Answers ).pdf
Infections Member of Royal College of Physicians.ppt
HYPERSENSITIVITY REACTIONS - Pathophysiology Notes for Second Year Pharm D St...
nephrology MRCP - Member of Royal College of Physicians ppt
Acute Coronary Syndrome for Cardiology Conference
Neoplasia III.pptxjhghgjhfj fjfhgfgdfdfsrbvhv
preoerative assessment in anesthesia and critical care medicine
neurology Member of Royal College of Physicians (MRCP).ppt
B C German Homoeopathy Medicineby Dr Brij Mohan Prasad
AGE(Acute Gastroenteritis)pdf. Specific.
Hearthhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhhh
Lecture 8- Cornea and Sclera .pdf 5tg year
Wheat allergies and Disease in gastroenterology
Transcultural that can help you someday.
Introduction to Medical Microbiology for 400L Medical Students

Schproppt doc.final

  • 1. A Plan for Multiagency Health Care Data Sharing in Homeless CareGwendolyn S. Williams, DNP StudentThe University of AlabamaCapstone College of NursingSummer 2011
  • 2. AbstractThis multiphase process quality improvement project was designed to improve clinical data sharing systems used by an emergency department and a community health center that treats and refers homeless patients between them.
  • 3. Abstract This multiphase quality improvement project was designed to enhance clinical data sharing systems used by an emergency department and a community health center that treats and refers homeless patients between them. Data obtained from a variety of assessment sources supported the need for improving communication between these two organizations in the care of homeless individuals in a southeastern community in the U.S. Subsequently, a clinical information data sharing plan was developed to enhance the clinician’s ability to access accurate medical information wherever the patient seeks care.
  • 4. IntroductionHealth care for homeless individuals can be a complex endeavor for communities. The common transitory characteristics of this population compromised by myriad health care complexities require the combined involvement of multiple institutions in the care of each patient. Often the burden of providing that care rest with non-profit public agencies. This burden includes financial cost but also consist of unique problems associated with coordination of care (Savage et al., 2006). For example, usually when homeless individuals seek care from a health facility, they have no medical records due to inconsistent medical treatment (Cavacuiti & Svoboda, 2008). There is a need for accurate, complete health information to be available to clinicians at the point of service when providing care to patients (Buck, Rochon & Turley, 2005). The use of information technology makes it easier to manage complex disease processes as often seen in homeless individuals (Cavacuiti & Svoboda, 2008). At present the internet and various interface software engines can link patient data from multiple institutions enabling immediate decision making.
  • 5. PurposeThe purpose of this project was to enhance clinical data sharing between an ED and CHC to ultimately improve service access for homeless persons in this community. Specifically, the project sought to facilitate the flow of accurate information at the point of care using multiphase process oriented quality improvement methods.
  • 6. MethodsPhase I AssessmentThe first phase involved assessment and included academic research of the topic. With the assistance of library staff from the University of Alabama and an information specialist, a literature search was performed of PubMed and Medline using MeSH terms and keywords including homeless health care needs, integrated clinical delivery systems, multi-disciplinary care coordination, and electronic medical records.
  • 7. Design This is a multiphase process oriented quality improvement project. This project has four phases: Assessment- existing clinical data sharing procedures between the organizations Planning- develop plans to enhance current data sharing systems Implementation- guided by the new data sharing model Evaluation- include process and outcomes measures
  • 8. Assessment Data Collection The assessment of existing tracking and referral, discharge planning, and clinical information exchange between the two organizations was performed using a variety of sources including a questionnaire. A list of essential questions and their underlying rationale was generated from findings in the literature. In addition, the questionnaire design of Cavacuiti and Svoboda (2008) was utilized as a primary framework in choosing appropriate questions for conducting interviews. With the assistance of each organization, individuals identified by the managers as most knowledgeable about existing referral processes and health information sharing for homeless patients were interviewed using the questionnaire.
  • 9. Assessment Data AnalysisThe response to each question was recorded by the author. The recorded notes were written in narrative format. To improve the display of data the questionnaire was formatted in tabular design. The organization’s responses to each question was summarized in the response tab.
  • 10. Assessment FindingsAssessment responses revealed that the two organizations were currently sharing electronic health data through the hospital’s MEDITECH system. Presently, the CHC is only allowed access to their patient’s outpatient laboratory and diagnostics via the MEDITECH system. To support further clinical data sharing, the CHC needs access to patient’s summary data from the hospital’s MEDITECH system for referrals shared between the organizations.
  • 11. Interview QuestionnaireQUESTION1. How many homeless are seen in a month? 2. What are common services you provide to homeless?3. What are patient outcomes of common services provided by your organization? 4. What common health problems do you see in homeless? 5. What are the demographics of homeless seen?RESPONSE The CHC does not have a system for tracking this data; an estimate of approximately 25 referrals of homeless per week with a total number of 300 frequent system wide users was given. The ED does not have a system for tracking this data. The CHC provides medical, case management, psychosocial assessments, transportation, and dental services. The ED does not track this information. Neither organization tracks this information. The CHC sees patients with hypertension, diabetes, skin disorders, respiratory issues, depression, substance abuse, and vaginal disorders. The ED does not track this information. The CHC predominately treats Caucasian males between the ages of early 20s to middle 50s and a small number of single mothers from a local shelter. The ED does not track this information.
  • 12. Interview Questionnaire The CHC reported that homeless primarily reside in Tuscaloosa in shelters, double with relatives, or foster care, while a small number transition from surrounding cities and states. The ED does not track this information. The CHC uses the NEXGEN EMR system; however, implementation has not occurred at the health care for homeless (HCH) program location. The ED utilizes the emergency department management (EDM) module within the MEDITECH EMR system. The CHC system has this capability when fully implemented. The ED MEDITECH system has this capability pending granting of access. Standard clinical data for example, patient demographics, medical and social histories, etc. are collected by each organization. The CHC’s NEXGEN system is secure web based, enabling clinical data exchange between departments and with other organizations. The ED’s MEDITECH system is proprietary, it can only be modified by the software vendor and is not available free of choice. Consent forms are used by both organizations. Both organizations have referral and interagency agreements regarding shared patient referrals. The CHC’s HCH program has service requirement policies that address patients without ID. The ED staff utilizes visual ID of frequent users and data matching components in its EMR.What are the migration patterns of homeless seen?Does your organization use EMRs? Are the EMRs used by multiple disciplines at multiple sites?What data does the EMR collect?Is the EMR open source or web based?How do you insure privacy of EMR information? How is consent obtained to share EMR data between organizations? How does the EMR track individuals without identification (ID)?  
  • 13. Phase II PlanningDuring the planning phase a clinical data integration plan was prepared modifying the MEDITECH system to allow the sharing of specific health care data between the two institutions.Phase I and II were the focus of the author’s work.
  • 14. Clinical Health Data Integration Plan
  • 15. Conclusions The planning and development of large quality improvement processes like clinical data integration systems is a unique opportunity for advanced practice nurses to leverage existing HIT investments through cost savings, enhance work flow processes, and increase organizational efficiency and patient specific data accessibility (Sensmeier, 2008). The resulting positive outcomes may provide nurses with useful benchmarking information for planning future process improvement initiatives.
  • 16. ReferencesBuck, D. S., Rochon, D., & Turley, J. P. (2005). Taking it to the streets: Recording medical outreach data on personal digital assistants. Computers, Informatics, Nursing : CIN, 23(5), 250-255. Cavacuiti, C., & Svoboda, T. (2008). The use of electronic medical records for homeless outreach. Journal of Health Care for the Poor and Underserved, 19(4), 1270-1281.Savage, C. L., Lindsell, C. J., Gillespie, G. L., Dempsey, A., Lee, R. J., & Corbin, A. (2006). Health care needs of homeless adults at a nurse-managed clinic. Journal of Community Health Nursing, 23(4), 225-234. doi:10.1207/s15327655jchn2304_3 Sensmeier, J. (2008). Deep impact: Informatics and nursing practice. IT Solutions, September, 2-6.