Medical Device Interoperability: a wicked problem
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1 Medical Device Interoperability: a wicked problem Julian M. Goldman, MD Medical Director, Partners HealthCare Biomedical Engineering Anesthesiologist, Mass Gen Hospital/Harvard Medical School Director, Medical Device Interoperability Program, CIMIT DISCLAIMER: The views and opinions expressed in this presentation are those of the author and do not necessarily represent official policy or position of HIMSS.
2 Conflict of Interest Disclosure Julian M. Goldman, MD Has no real or apparent conflicts of interest to report HIMSS
3 Learning Objectives Recognize that broad patient safety and clinical care benefits could be achieved through the integration of medical devices and HIT systems in clinical environments Categorize and re-frame medical device interoperability barriers as wicked problems in which there is little agreement about the problem, no agreement on a solution, and problem solving is complex because of external constraints Using this framework, identify the barriers to medical device interoperability including technical, business, liability, standards, and regulatory factors
4 Essential Healthcare Needs Intractable Challenges Needs: Improvements in patient safety and healthcare efficiency require innovative technology and system solutions. Ability to integrate the clinical environment is an essential ingredient to create complete EHRs and error-resistant systems Barriers: Medical systems cannot be fully integrated due to the lack of effective interoperability of medical devices and Health IT systems. Solutions: Understand and remove the barriers to interoperability
5 How many minutes are remaining in this presentation?
6 How old is the data? EMR time stamp error Blood gas analyzer in OR
7 Consolidated 4 Hospital Summary (Draft) Draft unpublished data Device Type Count StdDev Offset Average Offset Maximum Offset Medical Devices (Excl. Workstations & Wall Clocks) :32:34 0:33:26 16:42:10 All devices :22:12 0:25:58 16:42:10 Networked Devices that Auto-Sync 291 0:02:16 0:00:53 0:31:16 Stand-alone Devices 950 1:46:38 0:46:06 16:42:10 Hospital A 52 0:31:11 0:30:25 1:52:00 Hospital B 495 1:41:23 0:32:55 16:42:10 Hospital C 468 0:47:12 0:17:10 13:39:28 Hospital D 717 1:27:24 0:26:35 13:18:47
8 Incorrect dates Draft unpublished data Device Location Device Location (Room) Device Type Manufacturer/ Model Date Picture Taken Date on Device Device Offset (DAYS) General Unit Patient Tower Bladder Scanner BVI /7/2011 1/8/ D Adult ER Adult ER Emergency Department Emergency Department Bladder Scanner Bladder Scanner Verathon Medical/ BVI 9400 Verathon Medical/ BVI /22/ /2/ D 11/22/ /16/2011-6D OR Hallway 1 Imaging System Volcano S5 Cart Monitor 7/8/2011 7/7/2011 1D Neuro Angio Neuro Angio Radiology Display *N/A* 11/21/ /18/2011-3D PACU PACU Ultrasound Sonosite M- Turbo 11/29/2011 1/1/ years NICU NICU Ventilator Drager/ Evita XL 11/29/ /1/ years Note + and offset
9 Time & Clock Errors Many medical devices do not set their clock using a network time reference (e.g. NTP) Manually set twice a year Daylight Saving Time change No adopted standard for medical device time management EMR time stamping is configurable: time stamp from medical device time stamp when the data is acquired No method to maintain consistency among all time stamps contained in the patient s EMR, correct clock errors, etc. H Hjh Hjj hjjhjhj Hjh Hjh
10 Why is time so hard to solve? Legacy medical device inventory Regulatory concerns impede product updates Lack of customer demand Limited documentation of problem Lack of alignment of needs and solutions Weak manufacturer incentives Lack of standards* *JK
11 Wicked Problem* Definition Resistant to solutions Incomplete, contradictory, and changing requirements that are often difficult to recognize Due to complex interdependencies, the effort to solve one aspect of a wicked problem may reveal or create other problems *C. West Churchman introduced the concept of wicked problems in a "Guest Editorial" of Management Science (Vol. 14, No. 4, December 1967 [Source Wikipedia]
12 Patient-Controlled Analgesia (PCA) system safety challenges PCA Pump (With patient button) Patient Nurse call Patients can call to request more analgesia, but, cannot call for help when over-medicated. Over-medication can cause respiratory and cardiac arrest Comprehensive monitoring is not typically used due to high false/nuisance alarm rate How can we improve safety of this system? Solution: Smarter alarms with sensor fusion + capability to stop medication infusion prior to injury
13 PCA Safety Issues are Pervasive This is the story of an 11 year old who died from narcotic-induced respiratory depression. "Ten years after my daughter's death, nothing has changed in the codes of monitoring post-op patients continuously, until they leave the hospital. Alive." This is a statement from a multi-hospital coalition frustrated by ongoing adverse patient events: "A closed-loop system, which stops or pauses opioid dosing if respiratory depression is detected, is desirable. Systems are most ideally centrally monitored. In any case, alarms should be audible or otherwise available to the primary caregiver, and a mechanism for prompt response should be in place." "Carly Ann Pritchard... suffered an ankle injury and then underwent surgery to reduce lingering pain from her ankle injury. Unfortunately, although she survived surgery, she suffered brain damage because of an accidental overdose from a morphine-filled pain pump - after surgery. A California appeals court recently upheld a jury's award of about $9.9 million in damages.
14 PCA System needs the equivalent of smart cockpit alarm Landing gear not down? ALARM Contextual awareness requires data from several devices and systems. e.g. altitude, attitude, flap position, etc. And, we must respect the complexity of these safety critical systems
15 A particularly attractive feature may be the ability to automatically terminate or reduce PCA (or PCEA) infusions when monitoring technology suggests the presence of opioid-induced respiratory depression. To facilitate such capabilities, we strongly endorse the efforts to develop international standards for device interoperability and device-device communication. It is critical that any monitoring system be linked to a reliable process to summon a competent health care professional to the patient's bedside in a timely manner. Problem was revisited at June 2011 workshop!
16 Pulse oximeter shows oxygen saturation drop that is erroneous. Due to BP cuff inflation Challenge of nuisance alarms and obtaining accurate data to stop PCA pump J Goldman, MGH, 2012
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18 PCA Example: If devices could interoperate, smart PCA App could A) increase alarm specificity (reduce nuisance alarms) & sensitivity (earlier warning) B) stop the pump, and call nurse Greater specificity SpO 2 drops transiently, but Respiratory Rate and Pulse Rate are steady, therefore SpO 2 alarm is not activated. This potential nuisance alarm has been prevented, because more information is available from other devices. Greater Sensitivity: Respiratory depression may be detected earlier by monitoring trend of RR AND SpO 2.For example, detect small, gradual decrease in SpO 2 and RR that would not trigger current, conventional alarms.
19 Smart PCA monitoring system prototypes Plug-and-play integration of monitors/pump connected to patient. Hosts apps to detect respiratory problems -> stop IV pump Permits selection of best monitor and alarm algorithm at point of care Research prototype 2007 CANNOT IMPLEMENT due to Interoperability Barriers 2011 Version Based on ASTM F2761 ICE architecture
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21 A system perspective is needed
22 Standard for the Integrated Clinical Environment ASTM F Essential safety requirements for equipment comprising the patient-centric integrated clinical environment (ICE) Part 1: General requirements and conceptual model Provides a standards-based system architecture intended to support safe interoperable medical systems
23 Integrated Clinical Environment - Simplified Architecture From ASTM F ICE System ICE Manager Apps for PCA Safety, Smart Alarms, Remote Notification, Team coordination EMR ICE External Interface ICE Supervisor (runs apps) ICE Network Controller ICE Data Logger Medical Device or other equipment Medical Device or other equipment Medical Device or other equipment Patient and Family Clinicians
24 Mapping from ASTM ICE Standard Caregiver Supervisor External Network Network Controller Data Logger Adapter PulseOx Adapter Pump Adapter PulseOx Patient
25 Improving the Quality of Clinical Alarms (requires interoperability) 1. Use integrated platform to create smarter alarms by using multiple data sources for earlier detection of events and more meaningful alarms by improving alarm sensitivity and specificity. (e.g. detect repeat small O 2 desats that would not currently trigger a conventional alarm). Crowd-source this activity. 2. Set wider alarm limits to decrease nuisance and false alarms on each monitor/device. (e.g. SpO 2 alarm at 80%). This maintains device level alarms. 3. Collect clinical and alarm performance data to develop algorithms and evaluate system performance. Document gaps in current data sources and device capabilities. 4. Implement smart alarms and use capabilities to (e.g. stop/adjust PCA)
26 Why has these been intractable problems? Solution Involves Multiple Parties: Physicians, Hospitals, Medical Device Manufacturers, FDA, Standards Development Organizations, Payers Not just a business problem Not just a clinical problem Not just a standards problem Not just a software problem This is a medical systems problem and a formidable challenge or a Wicked Problem
27 Rittel and Webber's 1973 formulation of wicked problems in social policy planning specified ten characteristics: 1. There is no definitive formulation of a wicked problem (defining wicked problems is itself a wicked problem). 2. Wicked problems have no stopping rule. 3. Solutions to wicked problems are not true-or-false, but better or worse. 4. There is no immediate and no ultimate test of a solution to a wicked problem. 5. Every solution to a wicked problem is a "one-shot operation"; because there is no opportunity to learn by trial and error, every attempt counts significantly. 6. Wicked problems do not have an enumerable (or an exhaustively describable) set of potential solutions, nor is there a well-described set of permissible operations that may be incorporated into the plan. 7. Every wicked problem is essentially unique. 8. Every wicked problem can be considered to be a symptom of another problem. 9. The existence of a discrepancy representing a wicked problem can be explained in numerous ways. The choice of explanation determines the nature of the problem's resolution. 10. The planner has no right to be wrong (planners are liable for the consequences of the actions they generate).
28 Conklin later generalized the concept of problem wickedness to areas other than planning and policy: 1. The problem is not understood until after the formulation of a solution. 2. Wicked problems have no stopping rule. 3. Solutions to wicked problems are not right or wrong. 4. Every wicked problem is essentially novel and unique. 5. Every solution to a wicked problem is a 'one shot operation.' 6. Wicked problems have no given alternative solutions. Chapter 1 of Dialogue Mapping: Building Shared Understanding of Wicked Problems, Wiley, November 2005.
29 Why Innovation in Health Care Is So Hard? Regina Herzlinger HBS 2006 Players - The friends and foes lurking in the health care system that can destroy or bolster an innovation s chance of success. Funding - The processes for generating revenue and acquiring capital, both of which differ from those in most other industries. Policy - The regulations that pervade the industry, because incompetent or fraudulent suppliers can do irreversible human damage. Technology - The foundation for advances in treatment and for innovations that can make health care delivery more efficient and convenient. Customers - The increasingly engaged consumers of health care, for whom the passive term patient seems outdated. Accountability - The demand from vigilant consumers and cost-pressured payers that innovative health care products be not only safe and effective but also cost-effective relative to competing products.
30 Barriers to PCA Safety as Example Wicked Nature of Interoperability Technology: Infusion pump interface pump cannot be stopped Full physiological and clinical data not accessible Connectivity infrastructure difficult to assure/assess Requires ecosystem of other devices Regulatory Concerns Liability Concerns Incomplete standards, limited 3 rd party certification
31 What is interoperability wicked definitions HIT systems Medical device HIT Medical device medical device Human-device; human-human Device Electronic Data Interface (EDI) direct connectivity vs gateway/sever port Implications for clinical care; manufacturers Consumer electronics and computing their definition?
32 When we as a community - talk about interoperability, are we talking about the same thing? Can we create a common vision of the transformative capabilities of effective and meaningful interoperability. Context may be essential to understand data and create information The Big Bang Theory, Season 2 Episode 3 AFK 30s clip
33 How can we interpret ( validate ) this desaturation episode in the EHR without BP device data or SpO 2 QoS data or waveforms? Erroneous data in EHR J Goldman, MGH, 2012
34 Problem EHR documents incorrect Pulse Rate due to atypical pulse ox waveform. Other monitor data could be used to detect and reject this error. Waveforms should be recorded to improve device algorithms. ECG data ECG data Pulse Ox data EMR data Result: False alarms, incorrect data in EHR.
35 Asystole. Really??? False/Nuisance Alarm problem: Including pulse oximeter and BP data could be used to suppress the false asystole alarm
36 Pulse Ox set to: 16 sec averaging time Simulator is set to create transient desaturation 99%->70%->99% 8 sec averaging time 2 sec averaging time Pulse Oximeter averaging time must be known to interpret transient desaturations (e.g. Apnea Hypopnea Index) There may be recognizable pattern of transient desaturations before terminal desat
37 What are approaches to maintain medical device safety: 3 regulatory pillars Pre-market: Various means (standards, studies, etc.) to assess safety and effectiveness. May be a high bar (e.g. PMA) Quality Systems used by manufacturers to support high integrity in development and manufacturing (tongue depressor won t have splinters; ECG won t electrocute patient) Vigilance Systems (post-market) Track product performance in the marketplace* *Problematic
38 Vigilance Systems: Medical Device Data Logging Medical device data logs are essential, but Are not universally implemented Are incomplete May be in a proprietary format or encrypted Usually have incorrect time reference Difficult to align with data from other devices and clinical interventions
39 We have come a long way in some areas But people still use Post-it notes for equipment problems!
40 Data Gaps Example of data gaps today: Physiological data is not recorded or is purged upon d/c - Minimum HR? - Reverse p waves? - No BP recorded? J Goldman MGH, 2012
41 System Data Logging Is logging of one device that is independent of the system sufficient for our needs? A device may function correctly, but can still have AE; analysis requires system data to address device is OK, but patient is not How can one assess the clinical impact of a ventilator problem without complete data from Ventilator airway pressure, flow, etc. Oxygenation monitor / pulse oximeter Hemodynamic data (blood pressure etc.) Planes, trains, and automobiles log data
42 What could we accomplish in healthcare with open, interoperable medical device app platforms? Innovation Rich contextual data (for clinical decision support) Means for rapid prototyping of new sensors and algorithms Facilitate validation for regulatory clearance Swap devices as needed to optimize selection And what we have seen in other domains If device platform is standardized, apps can be developed by global expert community (analogous to crowd-sourcing)
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44 Medical Device Plug-and-Play Interoperability Program (MD PnP) Founded in 2004, the MD PnP research program is a multi-institutional community with Lab based at CIMIT, and supported by Massachusetts General Hospital (MGH), CIMIT, and Partners HealthCare. Mission: lead the adoption of open standards and technologies for medical device interoperability to improve patient safety US Federal Funding and Collaboration: DoD/TATRC, NSF, NIST, FDA, NIH, VAH
45 Goals of the MD PnP Program 1. Lead the adoption of open standards and related technology to support medical device interoperability and system solutions 2. Define a regulatory pathway in partnership with the FDA and other regulators 3. Elicit clinical requirements for the proposed interoperable solutions 4. Use our vendor-neutral laboratory to: evaluate interoperability standards and solutions serve as a community resource 5. Investigate safety of proposed engineering solutions
46 Voice of the MD PnP stakeholder community: Interoperability requires many elements to be aligned Focus on clinical needs (patient & clinician) Regulatory obstacles Liability concerns Business case for adoption Promote/develop/adopt suitable standards
47 NIH/NIBIB Grant 5yr/ $10M Development of a Prototype Healthcare Intranet for Improved Health Outcomes The creation of an eco-system for interoperability of medical devices and CISs to support innovation in patient safety and healthcare quality. Developing open platform, test-bed, standardized interfaces, verification and validation tools. App platform for smart alarms. CIMIT/Massachusetts General Hospital (Julian Goldman P.I.) Anakena Solutions, California (Michael Robkin) DocBox Inc, Waltham, MA (Tracy Rausch) Penn (Insup Lee) Kansas State University (J. Hatcliff) Moberg Research, Ambler, PA (Dick Moberg) University of Illinois at Urbana-Champaign (Lui Sha) Tim Gee - Medical Device integration consultant FDA CDRH/OSEL/DESE VA OHI/Office of JIV An HHS ONC Health IT SHARP affiliated program
48 MD PnP LAB Center for Integration of Medicine and Innovative Technology (CIMIT) 65 Landsdowne St., Cambridge, MA
49 MD PnP Lab Open House Oct
50 MD PnP Lab Open House Nov 2, 2012
51 MD FIRE Medical Device Free Interoperability Requirements for the Enterprise Position Statement & Sample of Interoperability RFP and Contract language Developed by Mass General Hospital / Partners, Johns Hopkins, Kaiser Permanente via MD PnP program Conveys healthcare needs to industry, and simplify purchasing specifications V 2.0 August 2012 added VA Creative Commons License 5 Stakeholder groups from each organization: Purchasing/materials management, BME, IS, Clinical, Legal Download MD FIRE from
52 MD FIRE Healthcare Delivery Organizations (HDOs) must lead a call to action for interoperability of medical devices and systems. One way that HDOs can effect this change is by including medical device interoperability as an essential element in the procurement process and in vendor selection criteria. Download: mdpnp.org/md_fire.php Get involved!
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54 HIMSS13 Interop Showcase / ONC area Transfer patient data and device settings using Connect, IEEE 11073, and ASTM F2761 ICE
55 ICE ICE Architecture ICE ICE Manager Clinician 9 ICE Supervisor 7 - presents information and accepts operator controls to operate an ICE Device Suite Forensic Data Logger 6 ICE Network Controller 5 Manages external Interfaces, and device controllers External interface 11 (e.g. EMR) ICE Equipment Interface 4 Abstract devices and present a consistent interface Equipment 3 Medical Devices 2 Patient 1
56 A proposal to align national patient safety interests and break through wicked problems HITSA Need a national systems approach. What is the system? (healthcare related technologies) Health IT Safety Administration (HITSA) modeled on NHTSA Adverse event reporting (expanded definition) Regulated and non-regulated devices Multi-stakeholder Regulators, clinical representatives, manufacturers, etc. J Goldman, MGH
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59 When standardized clinical databases are populated with standardized data, validated clinical rules or Apps will be shared globally Validated Clinical Apps Validated Clinical Apps Validated Clinical Apps Validated Clinical Apps Crowdsourcing of clinical apps could transform healthcare J. Goldman, MD
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61 Thank You! My contact info: Medical Device Interoperability Program:
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