Presentation to accompany the white paper, Advancing Medical Device Interoperability: Operationalizing the Integrated Clinical Environment and Building the Environment for Medical Device Interoperability.
Student: Brandon Lock
Class: HESY 670 - Introduction to Health Information Systems
Instructor: Dr. Hon Pak
2. Agenda
• Key Questions
• Overview of ICE/MDI Initiatives
• Overview of ICE/MDI Stakeholders
• Overview of Regulatory Environment
• Key Findings
2
3. Agenda
• Key Questions
• Overview of ICE/MDI Initiatives
• Overview of ICE/MDI Stakeholders
• Overview of Regulatory Environment
• Key Findings
3
4. Key Questions:
• What is an Integrated Clinical Environment (ICE)?
• What is Medical Device Interoperability (MDI)?
• Why do we need ICE/MDI?
• What are the Challenges & Barriers for ICE/MDI?
4
5. What is an Integrated Clinical Environment (ICE)?
• Workflow Optimization
• Systems Analysis & Engineering
• Care Pathways & ClinicalWorkflow
• Clinical Simulation
• Pre-ClinicalTesting
• Provider Education &Training
• Interoperability
• Medical Device Plug-and-Play (MD PnP) Program
• Standards Development for Device Integration
• EnablingTechnologies
• “Smart” Algorithms & Automated Surveillance
• WirelessTechnology Support (Sensors & Effectors) 5
6. What is Medical Device Interoperability (MDI)?
Medical Device Interoperability:
The ability for medical devices to communicate with
other medical devices; or information systems that
ultimately leads to or enables secure, safe, and
effective use. (MDICC)
Functional Medical Device Interoperability:
The ability for clinical medical devices to communicate
in a consistent, predictable and reliable way, allowing
for the exchange of, and interaction with, data from
other medical devices and with patient data sources
and repositories, such as electronic health records
(EHRs), in order to enhance device and system
functionality. (WHI)
6
7. Why DoWe Need ICE/MDI?
• Healthcare Delivery is High Risk
• DHS Critical Infrastructure Sector
• FDA Regulated Medical Devices are Mission-Critical
Safety-Systems
• Healthcare Delivery is Costly & Fragmented
• Need to Improve Safety, Quality, & Efficiency
• Need to Network, Coordinate, & Connect
• PromisingValue of HIT
• Enterprise-Wide Interoperability
• HIT Integration into ClinicalWorkflow
7
8. What are the Challenges & Barriers for ICE/MDI?
• Financial
• Lack of Incentive Structuring for Interoperability
• Regulatory Burdens for Medical Device Manufacturers
& Purchasers
• Connectivity
• Lack of Interconnection between Medical Devices &
Clinical Information Systems (CIS)
• Lack of Established Standards for Uniform Medical
Device Interoperability
• Health Delivery
• Limits in Human Factors Engineering (HFE) of Medical
Devices and System/Process Failures
• Balancing Customization, Standardization, Clinical
Workflow, & Ease of Provider Delivery
8
10. Connecting Health & Care for the Nation
A Shared Nationwide Interoperability Roadmap
10
11. Agenda
• Key Questions
• Overview of ICE/MDI Initiatives
• Overview of ICE/MDI Stakeholders
• Overview of Regulatory Environment
• Key Findings
11
12. Overview of ICE/MDI Initiatives
• 1998 -The Center for Integration of Medicine &
InnovativeTechnology (CIMIT)
• Integrated Clinical Environments (ICE) Initiative
• Clinical Systems Innovation (CSI) Program
• 2004 -The Medical Device Plug-and-Play (MD PnP)
Interoperability Program
• 2012 –The Medical Device Interoperability
Council (MDICC)
• 2013 –The Center for Medical Interoperability
(C4MI)
12
13. MD PnP Interoperability Program Projects
• Developing a New Open Standard for a Patient-Centric
“Integrated Clinical Environment” (ICE)
• Defining a Safe Regulatory Pathway for Patient-Centric
Networked Medical Devices
• Creating and Refining Interoperability Contracting
Language
• Performing Detailed Workflow & Gap Analysis
• Developing a Prototype Healthcare Intranet (IoT)
13
14. MD PnP – Open ICE
14
• Open Integrated Clinical
Environments (ICE) Open-Source
Digital Research Platform
•Open ICE Equipment Interfaces
Translate Proprietary Manufacturer-
Specific Interfaces to Common Data
Representation and Communication
Protocol
•Devices are Plug-and-Play using
Software Device Adapters (SDAs)
15. MD PnP – Prototype Healthcare Intranet
• The creation of an eco-system for
interoperability of medical device and clinical
information systems to support innovation in
patient safety and healthcare quality with an
Open ICE Platform.
• Interoperability of devices and IT systems in
clinical environments will permit:
• Mixed-Vendor DataTransfers
• Comprehensive Secure Data Acquisition
• Safety-Enhancing Capabilities
• Safety Interlocks
• Closed-Loop Device Control
15
16. Agenda
• Key Questions
• Overview of ICE/MDI Initiatives
• Overview of ICE/MDI Stakeholders
• Overview of Regulatory Environment
• Key Findings
16
18. ICE/MDI Stakeholder Development Map
18
Center for Medical
Interoperability
2013
Health Systems
$
Health Systems
+
Universities
+
Laboratories
Center for Integration
of Medicine &
InnovativeTechnology
1998
Federal Government Regulatory
+
Medical Device Industry
+
Standards Development Organizations (SDOs)
+
Trade Associations
+
Academia/Research
Medical Device
Interoperability
Coordinating Council
2012
$
The ICE Alliance
SDOs
+
Manufacturers
+
Healthcare & Clinical
19. Agenda
• Key Questions
• Overview of ICE/MDI Initiatives
• Overview of ICE/MDI Stakeholders
• Overview of Regulatory Environment
• Key Findings
19
21. Operational Regulatory Environment
21
ONC
2015 Interoperability
Standards Advisory
GAO
Draft Shared Interoperability
Road Map (2015)
EHR: Nonfederal Efforts to
Help Achieve Information
Interoperability (2015)
HITECH 2009 ACA 2010 TRUST IT 2015
Impact on ICE/MDI
• Standards
• Security Protections
• Supportive Regulatory Environment
AAP
AHA
Vendor ImpactProvider Impact
22. Agenda
• Key Questions
• Overview of ICE/MDI Initiatives
• Overview of ICE/MDI Stakeholders
• Overview of Regulatory Environment
• Key Findings
22
23. Key Findings
• Operationalizing the Integrated Clinical Environment (ICE)
• ClinicalWorkflow Optimization
• Clinical Simulations &Vendor-Neutral SandboxTesting
• Leveraging EnablingTechnologies
• Reference Compendium of Medical Device Interface Capabilities & Data Elements
• Building the Environment for Medical Device Interoperability (MDI)
• Develop & Promote Open Standards
• Define Safe Regulatory Pathways
• Enable Device Integration
• Build an Integrated Medical Device Intranet
23
24. Operationalizing the Integrated Clinical
Environment (ICE)
• Clinical WorkflowOptimization
• Clinical Simulations &Vendor-Neutral SandboxTesting
• Leveraging EnablingTechnologies
• Reference Compendium of Medical Device Interface
Capabilities & Data Elements
24
25. Building A Bridge for Medical Device Interoperability
25
Health Delivery
Organizations
(HDOs)
Current Environment
Standard
Developing
Organizations
(SDOs)
Future
State of
Health Delivery
Medical Device
Manufacturers
Device
Integration
Safe
Regulatory
Pathways
Clinical
Simulation
Sandbox
Capabilities
Reference
Compendium
Integrated
Clinical
Environment
(ICE)
Data Logger
“Black Box”
ForensicAnalysis
26. Building an Environment for Medical Device
Interoperability (MDI)
26
• Develop & Promote Open Standards
• Define Safe Regulatory Pathways
• Enable HDO Device Integration
• Build an Integrated Medical Device
Intranet
27. Develop & Promote Open Standards
27
• Standards Goals for HIT
• Interoperability
• Portability
• Exchangeability
• Types of HIT Standards
• Vocabulary &Terminology Standards
• Standards for Electronic Data Exchange
• Health Record Content & Functional Standards
28. Develop & Promote Open Standards
• Standards Development for Device Integration
• Device-Generated Data
• EMR Observational & Procedural Data
• Alignment with Local, Regional, & National EMR Initiatives
• Articulation of future clinical states to ensure that proposed technical solutions
and standards will yield useful clinical capabilities.
• Interoperability among Medical Devices
• Interoperability among components of Integrated Medical Device Systems
• Interoperability among Medical Devices & EHRs
• Interoperability among Medical Devices & Hospital IT/Clinical Information Systems
• Interoperability among Personal Medical Devices &Telehealth Data Hubs
28
29. Define Safe Regulatory Pathways
• Define Safe Regulatory Pathways for Patient-Centric
Networked Medical Devices
• FDA Draft Guidance & Interoperability WorkGroups
• Example: Medical Device Interoperability Coordination
Council (MDICC)Clinical Needs & Clinical LandscapeTeam
(2010)
• Example:Guidance Document to Assist Industry in
Conducting Appropriate Human FactorsTesting &
Identifying Device Feature OptimizationThroughTotal
Product Life Cycle (2011)
29
30. Enable HDO Device Integration
• Developing an HIT Safety Administration (HITSA)
• Developing Medical Device Interface Data Sheets
(MDIDS)
• Developing Open ICE Data Logger System
• ForensicAnalysis of Safety-Critical Systems
• ICE Black Boxes
30
31. Build an Integrated Medical Device Intranet
• The creation of an eco-system for
interoperability of medical device and clinical
information systems to support innovation in
patient safety and healthcare quality with an
Open ICE Platform.
• Interoperability of devices and IT systems in
clinical environments will permit:
• Mixed-Vendor DataTransfers
• Comprehensive Secure Data Acquisition
• Safety-Enhancing Capabilities
• Safety Interlocks
• Closed-Loop Device Control
31
32. What Can ICE Platforms Deliver?
• ICE Platforms Can Enable Revolutionary
Improvements
• Patient Safety
• Rich Clinical Data Availability
• Innovation through Interoperable Apps, Sensors, &
Actuators
• Operations & Logistics
• Cybersecurity of Medical Devices & HIT
32
Purpose:
The purpose of this presentation is to provide background on the clinical, technical, commercial and regulatory challenges involved with deploying health information technology (HIT) to operationalize the integrated clinical environment (ICE) and advance medical device interoperability (MDI). Further, this presentation identifies areas for improvement, the current solutions landscape and future benefit state as a result of advancing MDI and operationalizing ICE at the point-of-care.
Reference:
Center for Integration of Medicine & Innovative Technology (CIMIT)
Integrated Clinical Environments (ICE) Initiative
https://www.cimit.org/images/programs/ICE.pdf
Connected Devices:
Philips Intellivue Series Monitors
Serial (RS-232) and Ethernet
GE Solar 8000x / Dash 4/5000
Dräger Apollo / EvitaXL / V500
Nonin Bluetooth OnyxII 9650 / WristOx 3150
Oridion Capnostream20
Ivy 450C
Nellcor N-595
Masimo Radical-7
Fluke Prosim6/8 Patient Simulator
References:
Julian M. Goldman, MD, Presentation on Medical Device Interoperability to Enable Healthcare Transformation or The Medical IoT (MIoT)
June 4th 2015
West Health Institute. The Value of Medical Device Interoperability: Improving Patient Care with more than $30 Billion in Annual Health Care Savings. March 2013
Healthcare Delivery is High Risk:
The Department of Homeland Security (DHS) defines Critical Infrastructure Sectors (CIS) as those whose assets, systems, and networks, whether physical or virtual, are considered so vital to the US that their incapacitation or destruction would have a debilitating effect on security, national economic security, national public health or safety, or any combination thereof.
Safety-critical technologies such as medical devices should eliminate or reduce design-related use problems that contribute to or cause unsafe or ineffective medical treatment which should be part of a process for controlling overall risk. For devices where harm could result from “use errors,” the dynamics of user interaction are safety-related and should be components of risk analysis and risk management.
Healthcare Delivery is Costly & Fragmented:
Healthcare delivery is not only fragmented by the types of providers, but is also fragmented in payment, technology, and regulation. In the US market this can lead to proprietary information silos, errors in care transition, and the inability to exchange information.
Landmark IOM Reports have indicated the need to improve safety, quality, and efficiency within Healthcare.
Promising Value of HIT:
Enterprise-Wide Interoperability
HIT Integration into Clinical Workflow
Financial:
Lack of Incentive Structuring in a Mixed-Vendor Environment
Regulatory Burdens for Medical Device Manufacturers & Purchasers
Connectivity:
Lack of an Intranet Ecosystem to Interconnect Medical Devices & Clinical Information Systems
Lack of Established Standards for Uniform Medical Device Interoperability
Problems with information management with data stored in many ways, locations, and often in silos. Clinical decisions based on invalid or out-of-date information can have disastrous consequences
Health Delivery:
Understanding and optimizing how people interact with technology is the subject of human factors engineering (HFE) and usability engineering (UE). HFE/UE considerations that are important to the development of medical devices include three major components of the device-user system: (1) device users, (2) device use environments and (3) device user interfaces.
The purchasers of medical devices and HIT systems (Hospitals and Health Systems) have data sharing needs, but do not have the ability to legally and financially induce-demand for interoperability because of proprietary/protected information systems.
This problem is compounded by purchasers, often-limited, understanding of medical devices and HIT systems
Reference:
West Health Institute & Office of the National Coordinator
Igniting an Interoperable Healthcare SystemHCI | DC 2014 Healthcare Innovation Day
Federal HIT Efforts:
The passage of the Health Information Technology for Economic and Clinical Health (HITECH) Act in 2009 was the first of several high-visibility efforts undertaken by the federal government to accelerate the adoption and integration of information technology into healthcare.
ONC is one of many federal agencies working to solve the challenges facing ICE/MDI.
Reference:
Office of the National Coordinator (ONC) Connecting Health & Care for the Nation: A Shared Nationwide Interoperability Roadmap (Final Version), https://www.healthit.gov/sites/default/files/hie-interoperability/nationwide-interoperability-roadmap-final-version-1.0.pdf
The Center for Integration of Medicine & Innovative Technology (CIMIT)
It was created in 1998 as a consortium designed to accelerate the pace of research and development by leveraging technological expertise from industry and academia for targeted medical applications. The goal was to provide seed funding for early-stage, high-risk ideas leveraged by the experience of commercialization experts to facilitate the progress of multidisciplinary teams focusing on translational research.
The Medical Device Interoperability Council (MDICC)
It was formed in 2012 and is an open forum to allow collaboration between stakeholders that are actively engaged in aspects of promoting or creating interoperable medical device systems. The forum’s mission is to advance wide adoption of medical devices that seamlessly interoperate with other medical devices and information systems with the goal of enabling improved patient care.
The Center for Medical Interoperability
It was formed in 2013 and is a 501(c)(3) organization led by health systems to change how medical technologies work together by solving the shared technical challenges health systems face in integrating medical devices, electronic health records and information technology systems in a plug-and-play way.
Developing a New Open Standard for a patient-centric “Integrated Clinical Environment” (ICE)
To define the conditions under which interoperability can enable device integration to create new medical device systems with greater safety and performance capabilities than any individual device. Part 1 of the ICE standard was published as ASTM F2761-09, and is providing a valuable framework for further defining the vision and clinical content for other standards.
Defining a Safe Regulatory Pathway for Patient-Centric Networked Medical Devices
In partnership with the FDA the group has co-sponsored workshops held by FDA in January 2010 on medical device interoperability, followed by a working group of companies, academics, and hospitals that have developed and submitted a pre-IDE regulatory submission to help refine the FDA clearance process.
Creating and Refining Interoperability Contracting Language
For use by hospitals in their procurement of medical devices (MD FIRE: Medical Device Free Interoperability Requirements for the Enterprise)
Performing Detailed Workflow & Gap Analysis
Of use cases with a team of MD PnP Collaborators (including medical device companies) and analyzing the ability of existing standards to meet these requirements (gap analysis), yielding important understanding of the capabilities and limitations of existing interface standards.
Developing Demonstration Implementations of Clinical Use Cases
This is allowing integration of the clinical environment to improve patient safety and showing these at major clinical and health IT conferences.
Developing a Prototype Healthcare Intranet
Using an open ICE platform and tools to ensure safe and effective connectivity of medical equipment and decision support for clinical care. This open prototype research platform could support evaluations by the FDA of interoperable medical device systems and serve as a generic model that could be shared with other organizations.
Reference:
The Medical Device Plug-and-Play (MD PnP) Interoperability Program White Paper, http://www.mdpnp.org/uploads/Oct12_MD_PnP_White_Paper.pdf
Open ICE Digital Research Platform:
Based on ASTM F2761 “Essential safety requirements for equipment comprising the patient-centric integrated clinical environment (ICE)
IEEE 11073 Nomenclature
OMG DDS Pub/Sub Messaging Middleware
New version is built on open source implementation of open standards.
Open ICE equipment interfaces translate proprietary manufacturer-specific interfaces to common data representation and communication protocol
Better patient simulator allows patient algorithms to plug in
Devices are plug-and-play: any device that provides necessary interface can be used
Reference:
Julian M. Goldman, MD, Presentation on Medical Device Interoperability to Enable Healthcare Transformation or The Medical IoT (MIoT)
June 4th 2015
Developing a Prototype Healthcare Intranet (IoT):
The Vision of the NIH/NIBIB Quantum Medical Device Interoperability (QMDI) Grant is to create deliverables that will spark creation and adoption of innovative healthcare applications, systems, and medical devices that enable safer and more effective care through medical device interoperability. MD PnP is using an iterative process based on industry best practices of System Engineering and Quality Development Processes to allow clinicians and clinical engineers to communicate clinical needs and assess milestones in an effective way to developers, and will produce deliverables that are both useful and re-usable by the adoption community.
PCA Safety Interlock: example of component-level medical device interoperability to improve safety of medication infusions; multi-parameter “smart alarms”
ICU Preparedness: example of ability to support safer in-hospital patient transfer & dynamic checklists to reduce errors
Telehealth devices in hospital: example of transferring care from home to hospital and use of devices for high-acuity care
FDA Regulatory/Safety: sedation for G.I. procedure as a framework for levels of interoperability and associated levels of hazards and their mitigation
Reference:
Julian M. Goldman, MD, Presentation on Medical Device Interoperability to Enable Healthcare Transformation or The Medical IoT (MIoT)
June 4th 2015
Stakeholders:
Clinicians
Engineers
Healthcare Delivery Organizations (HDOs)
Standards Developing Organizations (SDOs)
Health Information Exchanges (HIEs)
Regulatory Agencies
Medical Device Manufacturers
Interoperability Promoting Organizations
Center for Integration of Medicine & Innovative Technology (1998) *Founding Institution
Beth Israel Deaconess Medical Center
Boston Medical Center
Boston University
Brigham & Women’s Hospital*
Children’s Hospital Boston
Draper Laboratory*
Harvard Medical School
Massachusetts General Hospital*
Massachusetts Institute of Technology*
Newton-Wellesley Hospital
Northeastern University
Partners Healthcare
VA Boston Healthcare System
Medical Device Interoperability Coordinating Council (2012)
American Society for Testing and Materials (ASTM)
West Wireless Health Institute (WWHI)
Department of Veteran Affairs (VA) & Department of Defense (DoD)
Continua Health Alliance
Anson Group
Healthcare Information and Management Systems Society (HIMSS)
Association of Medical Instrumentation (AAMI)
Advanced Medical Technology Association (AdvaMed)
Microsoft
IHE Patient Care Device Domain (IHE PCD)
American Health Information Management Association (AHIMA)
NIH – mHealth
UL Life & Health Sciences
Medical Imaging & Technology Alliance (MITA)
Qualcomm
International Electrotechnical Commission (IEC-TC 62)
National Institute of Standards & Technology (NIST)
Kaiser Health Systems
Institute of Electrical and Electronics Engineers (IEEE)
Health Level Seven International (HL7)
Phillips Healthcare
Partners Healthcare
Food & Drug Administration – Center for Devices and Radiological Health (FDA-CDRH)
Center for Medical Interoperability (2013) *Board Members (Non-Official Organization Partners)
Gary & Mary West Health Institute
John Hopkins University*
Cedars-Sinai Health System*
Robert Wood Johnson Health System*
Northwestern Memorial HealthCare*
Vanderbilt Health*
Regulatory Environment:
Outside the scope of this paper and presentation, however developing process maps of the regulatory environment would be helpful for advancing ICE/MDI going forward.
Key:
Blue – Agency/Organization
White – Agency/Organization Product
Red – Legislation
Green – Trade Associations
Reference:
United States Government Accountability Office. Electronic Health Records: Nonfederal Efforts to Help Achieve Health Information Interoperability. September 2015. http://www.gao.gov/assets/680/672585.pdf
Office of the National Coordinator. Connecting Health and Care for the Nation: A Shared Nationwide Interoperability Roadmap. Final Version 1.0. https://www.healthit.gov/sites/default/files/nationwide-interoperability-roadmap-draft-version-1.0.pdf
Office of the National Coordinator. 2016 Interoperability Standards Advisory. Draft for Comment.
https://www.healthit.gov/sites/default/files/2016_InteroperabilityStandardsAdvisoryFINAL.pdf
Workflow Optimization:
Systems analysis and engineering to improve care pathways and clinical workflow based on “what should and could be”, and not limited to “what is”. CIMIT will leverage the system engineering and operational expertise of its members along with its experience with “learning laboratories” in clinical settings at all levels of acuity, from ICU to homecare.
Clinical Simulation:
High fidelity patient and clinical environment simulations based on the CIMIT ICE projects to develop insights into improvement opportunities, validate performance and safety, and support dissemination and training. The initial focus will be pre‐clinical testing, and subsequently we will look at simulation as part of routine workflow and provider education, as well as techniques to rapidly educate the diverse healthcare delivery workforce. CIMIT will leverage the experience with healthcare simulation technologies throughout the Boston academic community, consolidating expertise across technologies, curriculum, and human factor domains. CIMIT will catalyze innovation across the strong network of member Simulation Centers, including the Center for Medical Simulation, to embed simulation‐based learning across clinical settings.
Interoperability:
CIMIT will build on the international leadership and network of collaborators in this domain through its Medical Device Plug‐and‐Play (MD PnP) Program, with a focus on:
Standards development for device integration, including for device‐generated data, EMR observational and procedural data, and alignment with ongoing local, regional and national EMR initiatives
Interoperable modalities and a repository of interoperability‐related “clinical scenarios” generated through clinical experience for key medical devices and systems such as PCA pumps and respiration monitors. These scenarios will guide and stimulate development projects that improve outcomes and patient safety.
Enabling Technologies:
CIMIT will leverage its numerous sponsored projects and those at its member institutions to develop and adapt technologies that address clinical needs, and will lead by example, such as with projects that address:
“Smart” algorithms that process integrated data from devices and the EMR in a manner that efficiently empowers each level of caregiver to make better decisions, as well as allowing automated surveillance of patient status
Wireless technologies that support communication and can encompass wearable sensors and effectors
Devices and systems for appropriately and unobtrusively extending medical care systems to lower‐acuity
settings, including the home; not just moving complex hospital technologies directly to these settings
Reference:
Center for Integration of Medicine & Innovative Technology (CIMIT)
Integrated Clinical Environments (ICE) Initiative
https://www.cimit.org/images/programs/ICE.pdf
Health Care Bridge Analogy
Dr. Paul Tibbits
Deputy CIO for Architecture, Strategy, and Design
Department of Veteran Affairs
Black Box Capabilities:
Planes, trains, and automobiles have “black box recorders” – or “data loggers” to support forensic data analysis in safety critical systems. We believe that this capability is essential for clinical environments as well. As described in standard ASTM F2761-09 on the Integrated Clinical Environment (ICE), even-logging functionality is necessary to address regulatory and liability concerns regarding networked medical device systems, and will also improve the forensic analysis of clinical adverse events and near misses.
Future State:
National vision of using comprehensive, accurate, electronic medical records and HIT systems to improve the quality and efficiency of healthcare.
High Level Overview of Developing Open Standards:
Goals
Interoperability
Portability
Data Exchange
Types of Health Information Standards
Classification Standards
Vocabulary & Terminology Standards
National Committee on Vital & Health Statistics (NCVHS)
Uniform Data Standards for Patient Medical Record Information (PMRI)
SNOMED-CT
LOINC
RxNorm (National Library of Medicine)
UMLS (National Library of Medicine)
Standards for Electronic Data Exchange
Purpose is to standardize the actual messaging between two HIS
HL7
DICOM
NCPDP
ANSI ASC X12N
Health Record Content & Functional Standards
HL7 EHR-S Functional Model
Result of 2009 revision and outlines important features and functions in EHR. Framework to describe and drive requirements and application of next level standards.
ASTM Health Record Content Standards
Continuity of Care Document (CCD)
Standard for the exchange of patient summary information, “Transportable Patient Care Information”. Product merger of HL7 CDA and ASTM CCR
HITECH EHR Certification Criteria
Standards Development Process
Ad Hoc (e.g. DICOM)
De Facto (Product become the Norm e.g. XML)
Government Mandated (e.g. HIPAA, HL7)
Consensus (e.g. ISO, ASTM, HL7)
Open Integrated Clinical Environment (ICE) – ASTM F27601-09
Health Level Seven International (HL7):
A not-for-profit, ANSI-accredited standards developing organization dedicated to providing a comprehensive framework and related standards for the exchange, integration, sharing, and retrieval of electronic health information that supports clinical practice and the management, delivery and evaluation of health services. "Level Seven" refers to the seventh level of the International Organization for Standardization (ISO) seven-layer communications model for Open Systems Interconnection (OSI) - the application level. The application level interfaces directly to and performs common application services for the application processes. Although other protocols have largely superseded it, the OSI model remains valuable as a place to begin the study of network architecture.
Healthcare Information Technology Standards Panel (HITSP) changed in 2009 to Healthcare Information Technology Standards Committee (HITSC), serves as a cooperative partnership between the public and private sectors for the purpose of achieving a widely accepted and useful set of standards specifically to enable and support widespread interoperability among healthcare software applications, as they will interact in a local, regional and national health information network for the United States.
Reference:
The Medical Device Plug-and-Play (MD PnP) Interoperability Program
Reference:
FDA Guidance Documents
http://www.fda.gov/RegulatoryInformation/Guidances/ucm259748.htm
MD PnP Proposal for HIT Safety Administration” (HITSA) (April 2014)
A public-private partnership that could, in collaboration with vendors, hospitals, FDA, NIST, ONC and FCC (and NLM and NSF) provide a convening environment and test bed for HIT systems prior to deployment and for solving problems when they develop. Proposed standards and technologies could be assessed and problems addressed prior to adoption. Root cause analysis of adverse events and near misses could be performed in collaboration with vendors, as needed. Product defects or configuration problems could be addressed horizontally and solutions coordinated across industry, instead of by each hospital-vendor pair. Facilitation of adverse event analysis involving HIT systems may require the application of technologies that have been successful elsewhere, such as “black box” recorders for network medical device/HIT data.
Implementation of truly interoperable and safe medical device/EMR systems will lower the cost of health care and accelerate innovation. This approach to safety can also provide the US with a healthcare manufacturing leadership opportunity.
MD PnP Project Medical Device Interface Data Sheets (MDIDS)
Developing a reference compendium of medical device interface capabilities and data elements which could enable more complete, effective, and safe device integration. The Medical Device Interface Data Sheets (MDIDS) will serve as a reference for standards development organizations (SDOs), manufacturers, researchers, and clinical organizations.
MDIDS include both "generic" and device-type sheets
Generic: The generic sheet includes device identification data such as Serial Number, FDA-mandated Universal Device ID (UDI), software version numbers, and a description of the data encoding used for device-specific data elements. Other categories of data found in generic MDIDS are Patient Identification and Location information, as well as data about the Operating Conditions of the device and its Configuration.
MD PnP Project Data Logger (June 2014):
Implementing a basic open-source ICE Data Logger that will capture device and use data intended to facilitate analysis of adverse events and enable other types of analysis of device networks. MD PnP is working to develop a functional prototype Data Logger that will capture data from medical devices in a time-synchronized, standardized, and trustworthy manner. This work will preview the power of these emerging capabilities, as existing standards do not yet support all the data that is needed from devices for recording and later analysis.
Developing a Prototype Healthcare Intranet (IoT):
The Vision of the NIH/NIBIB Quantum Medical Device Interoperability (QMDI) Grant is to create deliverables that will spark creation and adoption of innovative healthcare applications, systems, and medical devices that enable safer and more effective care through medical device interoperability. MD PnP is using an iterative process based on industry best practices of System Engineering and Quality Development Processes to allow clinicians and clinical engineers to communicate clinical needs and assess milestones in an effective way to developers, and will produce deliverables that are both useful and re-usable by the adoption community.
PCA Safety Interlock: example of component-level medical device interoperability to improve safety of medication infusions; multi-parameter “smart alarms”
ICU Preparedness: example of ability to support safer in-hospital patient transfer & dynamic checklists to reduce errors
Telehealth devices in hospital: example of transferring care from home to hospital and use of devices for high-acuity care
FDA Regulatory/Safety: sedation for G.I. procedure as a framework for levels of interoperability and associated levels of hazards and their mitigation
Reference:
Julian M. Goldman, MD, Presentation on Medical Device Interoperability to Enable Healthcare Transformation or The Medical IoT (MIoT)
June 4th 2015
Some IA Deliverables already in progress through MD PnP Program:
Medical and Health IT equipment procurement language for use by healthcare delivery organizations (MD FIRE)
Clinical Needs Assessment and Descriptions – by HDOs
System Requirements Specifications – elaborated by MD PnP program
Use Case and Clinical Scenario Library – maintained by MD PnP
ICE reference implementations, including safety and security requirements, and test tools – Started by MD PnP
Feedback to Standards Development Organizations (SDOs) to help standards conform to ICE requirements – currently performed by MD PnP
Regulatory science analysis related to submission
ICE Alliance:
Is a non-profit organization in the global healthcare/eHealth industry, promoting the development and market acceptance of initiatives and work product that promote clinical environments that are safe, secure, and interoperable, in compliance with ASTM’s ICE industry standard and leveraging work of MD PnP.
http://www.ieee-isto.org/member-programs/ice-alliance#sthash.gXfPFy1z.dpuf
Reference:
Julian M. Goldman, MD, Presentation on Medical Device Interoperability to Enable Healthcare Transformation or The Medical IoT (MIoT)
June 4th 2015
What Can MDI Deliver?:
Compliance with Meaningful Use
Qualification for Incentive Payments under MACRA 2015
In Summary:
There are significant benefits at stake for healthcare delivery to be realized by operationalizing the integrated clinical environment (ICE) and advancing medical device interoperability (MDI) at the point-of-care. There are numerous operational and regulatory challenges involved with this type of transformation due to its multidimensional nature, the involvement of competing stakeholders, lack of semantic uniformity in standards/technology, and the structure of the supporting financial environment. The future state of ICE/MDI is to have open, interoperable, and securely networked medical devices working through a Medical IoT platform in tandem with sensors, actuators, and analytic software engines to transform data into actionable knowledge delivered to a provider to make informed clinical decisions in order to deliver the most efficient, highest quality, and safe care to patients. Collaboration is the non-negotiable imperative to advancing this future state and stakeholders need to advocate, promote, and continue to build the business case for advancing ICE/MDI in order to gain traction in an environment of competing financial needs.