- •Foreword
- •Preface
- •Contents
- •1.1 Introduction
- •1.2 Method
- •1.2.1 Databases
- •1.2.2 Dates
- •1.2.3 Keywords
- •1.2.4 Criteria for Inclusion
- •1.2.5 Criteria for Exclusion
- •1.2.6 Selection of Papers
- •1.3 Results
- •1.3.1 Subspecialty
- •1.3.2 Type of Telemedicine
- •1.3.3 Study Design
- •1.3.4 Final Conclusions of Papers
- •1.4 Discussion
- •References
- •2.1 Introduction
- •2.2 The Need for Diabetic Retinopathy Screening Programs
- •2.4 Guidelines for Referring Patients
- •2.7 Program Models for Diabetic Retinopathy Screening
- •2.9 Program Personnel and Operations
- •2.9.1 Primary Care Providers
- •2.9.2 Photographers
- •2.9.3 Clinical Consultants
- •2.9.4 Administrators
- •2.9.5 A Note to CEOs, Operations Directors, and Clinic Managers
- •2.10 Policies and Procedures
- •2.10.1 Sample Protocol 1
- •2.10.1.1 Diabetic Retinopathy Screening Services
- •Policy
- •Background
- •Procedure
- •2.10.2 Sample Protocol 2
- •2.10.2.1 Pupil Dilation Before Diabetic Retinopathy Photography
- •Policy
- •Background
- •Procedure
- •2.10.3 Sample Protocol 3
- •2.10.3.1 Diabetic Retinopathy Photography Review
- •Policy
- •Background
- •Procedure
- •2.11 Technical Requirements
- •2.11.1 Connectivity
- •2.11.2 Resolution
- •2.11.3 Color
- •2.11.4 Stereopsis
- •2.11.5 Compression
- •2.11.6 Enhancement
- •2.11.7 Pupil Dilation
- •2.11.8 Early California Telemedicine Initiatives Diabetic Retinopathy Screening
- •2.11.9 The American Indian Diabetes Teleophthalmology Grant Program
- •2.11.10 Central Valley EyePACS Diabetic Retinopathy Screening Project
- •2.12.1 Diabetic Retinopathy
- •2.12.1.1 ADA Guidelines Terms
- •2.12.1.2 Vitrectomy
- •References
- •3: Stereopsis and Teleophthalmology
- •3.1 Introduction
- •3.2 History of Stereopsis and Stereopsis in Ophthalmology
- •3.3 Technology and Photography
- •3.3.3 Imaging Fields
- •3.3.4 Image Viewing Techniques
- •3.3.5 Image Compression
- •3.4 Stereoscopic Teleophthalmology Systems
- •3.4.1 University of Alberta
- •3.4.4 Joslin Vision Network
- •3.5 Conclusion
- •References
- •4.1 Introduction
- •4.2 Methods
- •4.2.1 Main Outcome Measures
- •4.3 Results
- •4.3.1 Retinal Video Recording Versus Retinal Still Photography
- •4.3.2 Video Compression Analysis
- •4.4 Discussion
- •References
- •5.1 Introduction
- •5.1.1 Automated, Remote Image Analysis of Retinal Diseases
- •5.1.2 Telehealth
- •5.2 Design Requirements
- •5.2.1 Telehealth Network Architecture
- •5.2.2 Work Flow
- •5.2.3 Performance Evaluation of the Network
- •5.3 Automated Image Analysis Overview
- •5.3.1 Quality Assessment Module
- •5.3.2 Vascular Tree Segmentation
- •5.3.3 Quality Evaluation
- •5.4 Anatomic Structure Segmentation
- •5.4.1 Optic Nerve Detection
- •5.4.2 Macula
- •5.4.3 Lesion Segmentation
- •5.4.4 Lesion Population Description
- •5.4.5 Image Query
- •5.5 Summary
- •References
- •6.1 Introduction
- •6.3 Optical Coherence Tomography to Detect Leakage
- •References
- •7.1 Introduction
- •7.2 Patients and Methods
- •7.2.1 Participants
- •7.2.2 Methods
- •7.2.3 Statistics
- •7.3 Results
- •7.3.1 Reliability of Image Evaluation
- •7.3.2 Prevalence of Glaucomatous Optic Nerve Atrophy
- •7.4 Discussion
- •7.5 Perspectives
- •References
- •8.1 Introduction
- •8.1.2 Homology Between Retinal and Systemic Microvasculature
- •8.1.3 Need for More Precise CVD Risk Prediction
- •8.2.1 Retinal Microvascular Signs
- •8.2.2 Retinal Vessel Biometry
- •8.2.3 Newer Retinal Imaging for Morphologic Features of Retinal Vasculature
- •8.3 Associations of Retinal Imaging and CVD Risk
- •8.3.1.1 Risk of Pre-clinical CVD
- •8.3.1.2 Risk of Stroke
- •8.3.1.3 Risk of Coronary Heart Disease
- •8.3.2.1 Risk of Hypertension
- •8.3.2.2 Risk of Stroke
- •8.3.2.3 Risk of Coronary Heart Disease
- •8.3.2.4 Risk of Peripheral Artery Disease
- •8.3.3 Newer Morphologic Features of Retinal Vasculature
- •8.4 Retinal Imaging and Its Potential as a Tool for CVD Risk Prediction
- •References
- •9.1 Alzheimer’s Disease
- •9.2 Treatments
- •9.3 Diagnosis
- •9.6 Conclusions
- •References
- •10.1 Introduction
- •10.1.1 Stroke
- •10.1.2 Heart Disease
- •10.1.3 Arteriovenous Ratio
- •10.2 Purpose
- •10.3 Method
- •10.3.1 Medical Approach
- •10.3.2 Technical Approach
- •10.3.3 Output of Medical Data
- •10.4 Patients
- •10.5 Results
- •10.5.1 Medical History
- •10.5.2 Telemedical Evaluation of Retinal Vessels
- •10.5.2.1 Prevalence of Retinal Microangiopathy
- •10.5.2.2 Arteriovenous Ratio
- •10.5.2.3 PROCAM-Index
- •10.6 Discussion and Perceptive
- •10.6.1 Estimation of “Stroke Risk” Estimated by the Stage of Retinal Microangiopathy
- •References
- •11.1 Introduction
- •11.2 System Requirements
- •11.3 Fundus Camera
- •11.4 Imaging Procedure
- •11.4.1 Reading Center Procedure
- •11.5 Detection of Macular Edema
- •11.6 Implementation
- •11.7 Unreadable Images
- •11.7.1 Impact on Overall Diabetic Retinopathy Assessment Rates
- •11.7.2 Compliance with Recommendations
- •11.7.3 Challenges
- •11.7.4 Summary
- •References
- •12.1 Screening
- •12.2 Background
- •12.3 Historical Perspective in England
- •12.4 Methodology
- •12.4.1 The Aim of the Programme
- •12.5 Systematic DR Screening
- •12.6 Cameras for Use in the English Screening Programme
- •12.7 Software for Use in the English Screening Programme
- •12.9 Implementation in England
- •12.11 Quality Assurance
- •12.12 The Development of External Quality Assurance in the English Screening Programme
- •12.13 Information Technology (IT) Developments for the English Screening Programme
- •12.14 Dataset Development
- •12.15 The Development of External Quality Assurance Test Set for the English Screening Programme
- •12.16 Failsafe
- •12.17 The Epidemic of Diabetes
- •References
- •13.1 Introduction
- •13.2 Burden of Diabetes and Diabetic Retinopathy in India
- •13.3 Diabetic Retinopathy Screening Models
- •13.4 Need for Telescreening
- •13.5 Guidelines for Telescreening
- •13.6 ATA Categories of DR Telescreening Validation
- •13.7 Yield of Diabetic Retinopathy in a Telescreening Model
- •13.8 How Are Images Transferred
- •13.10 How Many Fields Are Enough for Diabetic Retinopathy Screening
- •13.11 Is Mydriasis Needed While Using Nonmydriatic Camera?
- •13.12 Validation Studies on Telescreening
- •13.12.1 Accuracy of Telescreening
- •13.12.2 Patient Satisfaction in Telescreening
- •13.12.3 Cost Effectivity
- •13.12.4 Telescreening for Diabetic Retinopathy: Our Experience
- •13.13 Future of Diabetic Retinopathy Screening
- •References
- •14.1 Introduction
- •14.2 Methods
- •14.3 Discussion
- •14.4 Conclusion
- •References
- •15.1 Introduction
- •15.1.1 Description of the EADRSI
- •15.5 State Support of Screening in the Safety Net
- •15.7 Screening Economics for Providers
- •15.8 Patient Sensitivity to Fees
- •15.9 Conclusion
- •References
- •16.1 Introduction
- •16.2 Setting Up the New Screening Model
- •16.2.1 Phase 1: Training
- •16.2.2 Phase 2: Evaluation of Agreement
- •16.2.3 Phase 3: Implementation of the Screening Model
- •16.3 Technologic Requirements
- •16.3.1 Data Management
- •16.3.2 Data Models
- •16.3.2.1 Data Scheme for Patient-Related Information
- •16.3.2.2 Data Scheme for Images
- •Fundus Camera VISUCAM Pro NM
- •PACS Server
- •ClearCanvas DICOM Visualizer
- •16.4 Results
- •16.4.1 Phase 2: Agreement Evaluation
- •16.4.2 Phase 3: Implementation of the Screening Model
- •16.5 Discussion
- •16.5.1 Evaluation of the Screening Model
- •16.5.2 Prevalence of DR
- •16.5.3 Quality Evaluation
- •16.6 Conclusion
- •References
- •17.1.3 Examination and Treatment
- •17.1.4 Limitations of Current Care
- •17.2 Telemedicine and ROP
- •17.2.2 Accuracy and Reliability of Telemedicine for ROP Diagnosis
- •17.2.3 Operational ROP Telemedicine Systems
- •17.2.4 Potential Barriers
- •17.3 Closing Remarks
- •17.3.1 Future Directions
- •References
- •18.1 Introduction
- •18.2 Neonatal Stress and Pain
- •18.3 ROP Screening Technique
- •18.4 Effect of Different Examination Techniques on Stress
- •18.5 Future of Retinal Imaging in Babies
- •References
- •19.1 Introduction
- •19.2 History of the Program
- •19.3 Telehealth Technologies
- •19.4 Impact of the Program
- •Selected References
- •Preamble
- •Introduction
- •Background
- •The Diabetic Retinopathy Study (DRS)
- •Mission
- •Vision
- •Goals
- •Guiding Principles
- •Ethics
- •Clinical Validation
- •Category 1
- •Category 2
- •Category 3
- •Category 4
- •Communication
- •Medical Care Supervision
- •Patient Care Coordinator
- •Image Acquisition
- •Image Review and Evaluation
- •Information Systems
- •Interoperability
- •Image Acquisition
- •Compression
- •Data Communication and Transmission
- •Computer Display
- •Archiving and Retrieval
- •Security
- •Reliability and Redundancy
- •Documentation
- •Image Analysis
- •Legal Requirements
- •Facility Accreditation
- •Privileging and Credentialing
- •Stark Act and Self-referrals
- •State Medical Practice Acts/Licensure
- •Tort Liability
- •Duty
- •Standards of Care
- •Consent
- •Quality Control
- •Operations
- •Customer Support
- •Originating Site
- •Transmission
- •Distant Site
- •Financial Factors
- •Reimbursement
- •Grants
- •Federal Programs
- •Other Financial Factors
- •Equipment Cost
- •Summary
- •Abbreviations
- •Appendices
- •Appendix A: Interoperability
- •Appendix B: DICOM Metadata
- •Appendix C: Computer-Aided Detection
- •Appendix D: Health Insurance Portability and Accountability Act (HIPAA)
- •Appendix F: Quality Control
- •Appendix H: Customer Support
- •Level 1
- •Level 2
- •Level 3
- •Appendix I: Reimbursement
- •Medicare
- •Medicaid
- •Commercial Insurance Carrier Reimbursement
- •Other Financial Factors
- •Disease Prevention
- •Resource Utilization
- •American Telemedicine Association’s Telehealth Practice Recommendations for Diabetic Retinopathy
- •Conclusion
- •References
- •Contributors
- •Second Edition
- •First Edition
- •Index
Appendix |
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Table 2 International clinical DME scale compared to ETDRS where noted |
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Disease severity level |
Findings |
DME scale |
DME apparently |
No apparent retinal thickening or |
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hard exudates (HE) in posterior pole |
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Moderate DME: retinal thickening or HE approach- |
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CSME) |
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DME diabetic macular edema, HE hard exudates, CSME clinically signiÞcant macular edema
allow patient management to match clinical recommendations based on clinical retinal examination through dilated pupils.
A telehealth programÕs goals and desired performance may inßuence choice of technology and protocol. Some programs use pupil dilation. Others perform imaging with nonmydriatic cameras and undilated pupils. A higher rate of unreadable photographs has been reported through undilated versus dilated pupils [54, 55]. Diabetic persons often have smaller pupils and a greater incidence of cataracts, which may limit image quality if performed through an undilated pupil. Pupil dilation is associated with a very small risk of angle-clo- sure glaucoma. Although the risk of inducing angle-closure glaucoma with dilation using 0.5% tropicamide is minimal with no reported cases in a large meta-analysis [56], programs using pupil dilation should have a deÞned protocol to recognize and address this potential complication.
Depending on the telehealth program, images may or may not be acquired and reviewed stereoscopically. There has been concern that macular edema may not always be detectable through nonstereo imaging modalities [57]. One approach without stereoscopic evaluation relies on hard exudates in the central macular Þeld or within one-disk diameter of the center of the macula as a surrogate marker for macular edema [58]. Clinically signiÞcant macular edema is often accompanied by other DR
lesions that may also independently trigger referral. It is, therefore, possible that a program without stereoscopic capabilities may be validated to identify macular edema with acceptable sensitivity.
Communication
Communication is the foundation of ocular telehealth [59]. Communication should be coordinated and reliable between originating and distant sites, telehealth providers and patients, and telehealth providers and other members of the patientÕs healthcare team. Providers interpreting retinal telehealth images should render reports in accordance with relevant jurisdictions and community standards.
Personnel Qualifications
Telehealth programs for DR depend upon a variety of functions. Distinct individuals may assume these responsibilities or a person may assume several roles.
Medical Care Supervision
An ophthalmologist with expertise in evaluation and management of DR usually assumes ultimate responsibility for the program and is
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responsible for oversight of image interpretation and patient well-being. Responsibilities include recommendations for appropriate care management and providing feedback to the imager and program to ensure images are of appropriate quality.
Patient Care Coordinator
The patient care coordinator ensures that each patient receives DR education and complete and appropriate follow-up, especially for those meeting criteria for referral.
Image Acquisition
Image acquisition personnel (ÒimagersÓ) are responsible for acquiring retinal images. A licensed eye care professional may not be physically available at all times during a telehealth session. Imagers should possess knowledge and skills for independent imaging or with assistance and consultation by telephone, including:
¥Understanding basic ocular telehealth technology and principles
¥Demonstrated qualiÞcations for obtaining appropriate image Þelds of diagnostic quality
¥Understanding the clinical appearance of common retinal diseases requiring immediate evaluation
¥Communication skills for patient informed consent and education
¥Understanding of angle-closure glaucoma if pupil dilation is performed, including entrylevel skills in screening for shallow anterior chamber and recognition of angle-closure signs and symptoms
Image Review and Evaluation
Image review and evaluation specialists are responsible for timely grading of images for retinal lesions and determining levels of DR. Only qualiÞed readers should perform retinal image grading and interpretation. QualiÞcation should
include academic and clinical training. If a reader is not a licensed eye care provider, speciÞc training is required. Grading skills should be appropriate to technology used in the ocular telehealth program. A licensed, qualiÞed eye care provider with expertise in DR and familiarity with program technology should supervise readers. An adjudicating reader may resolve ambiguous or controversial interpretation. In most cases, an adjudicating reader will be an ophthalmologist with special qualiÞcations in DR by training or experience.
Information Systems
An information systems specialist is responsible for connectivity, data integrity, availability of stored images, and disaster recovery [60, 61]. The specialist should be available in case of system malfunction to solve problems, initiate repairs, and coordinate system-wide maintenance.
Equipment Specifications
Telehealth systems used in the USA should conform to Federal Drug Administration regulations. Telehealth systems used inside and/or outside the USA should meet applicable international, American, and local statues, regulations, and accepted standards. Elements include:
¥Image acquisition hardware (computers, cameras, and other peripherals)
¥Image transmission, storage, and retrieval systems
¥Image analysis and clinical workßow management (scheduling follow-up examinations, clinical communication management, and decision support tools)
Equipment speciÞcations will vary with
program needs and available technology (Fig. 1). Equipment should provide image quality and availability appropriate for clinical needs and guidelines. The diagnostic accuracy of any imaging system should be validated prior to incorporation into a telehealth system [49Ð51, 62, 63].
Appendix |
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HIS |
Diagnostic display |
Capture patient |
workstation and generation |
demographic and medical |
of retinopathy structured |
information |
report |
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Clinical |
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Teleophthalmology |
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history |
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archive. Diagnostic image |
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Teleophthalmology image acquisition
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Fig. 1 Example of a workßow diagram of an ocular telehealth system based on Integrating the Healthcare Enterprise (IHE) infrastructure for radiology. Despite
variations between equipment, communications, and information systems, a generalized workßow diagram is possible for any ocular telehealth system
Technologies should be Digital Imaging and Communications in Medicine (DICOM) and Health Level 7 (HL 7) standards compliant. New equipment and periodic upgrades to incorporate expanded DICOM standards should be part of an ongoing quality control program. DICOM Supplement 91 (Ophthalmic Photography), which addresses ophthalmic digital images, was released in 2004 and updated in 2009 [64].
Interoperability
An integrated digital healthcare system is increasingly an expectation of patients, providers, and regulators. Integration occurs on several levels, leading to more than one deÞnition of Òinteroperability.Ó The US Health Information Technology for Economic and Clinical Health (HITECH) Act mandates speciÞc measures of interoperability
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for Electronic Health Records (EHR). HITECH includes personal health records in broad scale health information exchange.
Interoperability also impacts the ability to interconnect devices and computer applications with EHR and practice management systems. Terminology, hardware, software, and communication standards are required. Harmonization of these standards is needed to allow information exchange between systems and interoperable use of data by devices and software from different vendors. Conformance to standards is increasingly driven by federal regulations and market inßuences. DR ocular telehealth systems should include nonproprietary interoperability by using components that conform to:
¥DICOMª [65]
¥HL7 [66]
¥Integrating the Healthcare Enterprise (IHE) Eye Care [67, 68]
¥Systematized Nomenclature of Medicine (SNOMED CT¨) [69]
¥Health Information Technology Standards Panel (HITSP) [70]
Conformance to standards does not ensure
interoperability. Also, interoperability of electronic medical records, EHR, and personal health records may not always be possible or practical. Exchange of DR images and reports can also be accomplished through physical media as provided by HITSP Interoperability SpeciÞcation, IS 05 Ð Consumer Empowerment, and Access to Clinical Information via Media [70]. Additional information about interoperability is available in Appendix A.
Image Acquisition
Retinal image datasets should adhere to DICOM standards. Patient information, eye and retina characteristics, image type, and other data should be linked to image Þles as metadata [64]. Retinal evaluation data deÞning type of retinal examination and the retinal image set should be included and linked to image Þles as metadata. Additional information such as medical and surgical history,
laboratory values, etc., may be included as metadata with an image set (Appendix B).
Compression
Data compression may facilitate transmission and storage of retinal images. Compression may be used if algorithms have undergone clinical validation. DICOM recognizes JPEG and JPEG2000 for lossy compression of medical images in Supplement 91, Ophthalmic Photography SOP Classes [64, 71].Compression types and ratios should be periodically reviewed to ensure appropriate clinical image quality and diagnostic accuracy. Eye care providers overseeing image grading are responsible for diagnostic accuracy.
Data Communication and Transmission
A variety of technologies are available for data communication and transfer. Ocular telehealth programs should determine speciÞcations for transmission technologies best suited to their program. Transmission systems should have robust error checking to ensure no loss of clinical information [72]. Data communications should be compliant with DICOM standards. Ocular telehealth system equipment manufacturers should supply DICOM conformance statements.
If ocular telehealth applications are integrated with existing health information systems, interoperability should incorporate DICOM conformance, interface with HL7 standards, and establish appropriate routing for patient scheduling and report transmission [73].
Computer Display
Monitors and settings should be validated for clinical diagnostic accuracy. Any validated monitor technology can be used (e.g., cathode ray tube, liquid crystal display, gas plasma panel). Retinal images used for diagnosis should be displayed on high-quality monitors of appropriate
