0
Commentary |

Health Care Information Technology Vendors' “Hold Harmless” Clause: Title and subTitle BreakImplications for Patients and Clinicians

Ross Koppel, PhD; David Kreda, BA
[+] Author Affiliations

Author Affiliations: Department of Sociology and Center for Clinical Epidemiology and Biostatistics, School of Medicine, University of Pennsylvania, Philadelphia (Dr Koppel); and Social Research Corporation, Wyncote, Pennsylvania (Mr Kreda).


JAMA. 2009;301(12):1276-1278. doi:10.1001/jama.2009.398
Text Size: A A A
Published online

Health care information technology (HIT) vendors enjoy a contractual and legal structure that renders them virtually liability free—“hold harmless” is the term of art—even when their proprietary products may be implicated in adverse events involving patients. This contractual and legal device shifts liability and remedial burdens to physicians, nurses, hospitals, and clinics, even when these HIT users are strictly following vendor instructions. Vendors avoid liability by relying on the legal doctrine known as “learned intermediaries” and on warranties prohibiting claims against their own products' fitness. According to this doctrine and legal language, HIT vendors are not responsible for errors their systems introduce in patient treatment, because physicians, nurses, pharmacists, and health care technicians should be able to identify—and correct—any errors generated by software faults.

Learned intermediaries are considered medical experts who, through education, experience, or both, are able to balance the benefits of any medication, dosage, software, or medical device against its potential dangers. The choice made by the intermediary is, therefore, an informed, individualized medical judgment based on knowledge of the patient as well as medical practice.1 The HIT vendors thereby claim that, because they cannot practice medicine and are merely creating a software tool, clinicians are in much stronger positions to identify those errors resulting from faulty software or hardware.

Yet the more that HIT software embeds knowledge and performs complex calculations, the more risks there are to patients. For example, at a recent national conference on electronic health records and patient safety,2 hospital leaders described faulty vendor software that miscalculated intracranial pressures. Nonetheless, had the trauma team not caught the error, the hospital would have been responsible for the resulting harm to the patients involved. In addition, if clinical decision support systems generate incorrect medication dosages because patients' weights are misconstrued in an internal algorithm (eg, confusing kilograms and pounds), it is the prescriber's “fault” for not having caught the error. Moreover, if electronic medical record software errors remove or change warnings about fatal drug allergies, learned intermediary clauses hold that clinicians should notice the mistake before prescribing.

The burden that learned intermediary and hold harmless/nonwarranty clauses place on health care professionals—who increasingly must use HIT systems—needs to be examined.

Several factors may explain this predicament for the health care community.

Innovation

Vendors of HIT previously argued that, as a new industry, they needed “hold harmless” clause protections. Absent those clauses, innovation would be stifled and capital investments would wither. Other industries (eg, nuclear power providers, aircraft manufacturers) have used similar arguments to limit liabilities. Pharmaceutical and some medical device manufacturers have argued that because their products received regulatory approval, the manufacturers were not responsible for errors. Many industries influence legislators and master the art of regulatory give-and-take (“regulatory capture”), but their legal protections are neither pure nor perpetual. Vendors of HIT have also copied software industry arguments that, even without the learned intermediary cover, sought indemnity from consequential damages.

Negotiation

When hospitals and physician practices purchase HIT systems, they generally act alone rather than as members of cooperatives or professional organizations. While associations of physicians, informaticians, and hospitals provide literature on HIT implementations, such information is insufficient to guide the in situ, day-by-day decisions made by hospital or medical office staff and certainly cannot protect buyers from software design or execution errors. Furthermore, recommendations from industry-sponsored certification organizations do not confer legal recourse to buyers in the event of errors or even when physicians confront poorly designed user interface screens.

The substantial disparity between buyers and sellers in knowledge and resources is profound and consequential. Vendors retain company confidential knowledge about designs, faults, software operations, and glitches. Their counsel have crafted contractual terms that absolve them of liability and other punitive strictures, while compelling users' nondisclosure of their systems' problematic, even disastrous, software faults. Even though enforced nonsharing of software problems is an industry norm, it is anathema to improving care, to HIT, and to evidence-based medicine. In addition, clinicians' and health care facilities' leverage is weakened by fears that vendors' finances might be so jeopardized that clients' HIT departments are left to untangle millions of lines of orphaned software code.

Complexity

Implementations of HIT are massively complex and fraught with delays,3 4 errors,3 ,5 8 resistance,3 ,5 ,8 9 work process redesign,10 11 frustration,3 5 ,7 9 ,12 14 and outright failure.3 9 ,12 14 Health care facilities cannot predict the myriad scenarios in which software failures could result in patient harm and liability, and they are not likely to be knowledgeable a priori about frequent vendor updates.

Legislation

Hospitals and physicians have not yet engaged Congress to redress the counterproductive effects of their historic acceptance of the learned intermediary doctrine. As HIT and health care become further conjoined, clinicians may need legislative action to rebalance some of the historical defects in existing contracts.

Vendors have legitimate self-protection needs and should not be accountable for health care organizations' faulty use or incomplete specifications.

Customization

Medical facilities often request customization by vendors. These modifications can improve the fit between HIT and work flow and enhance patient safety by tailoring menus and options to medical specialties or foci. On the other hand, changes that might alter data, presentation of critical information, or connections within and among systems may have unforeseen repercussions. Even “innocent” modifications have untoward consequences, eg, changing background colors may conceal similarly colored text warnings. Similarly, clinical decision support rules and order sets are almost always locally developed and extensively modified. Vendors and clinical decision support providers cannot be responsible for post hoc modifications.

Misuse

Software for HIT can be very complicated and require considerable training. Even though health care organizations may carefully train users, implementations often last years. “Go live” dates may be delayed for many months, or users may lack full competence for other reasons. Although clear and intuitive software design mitigates the probability of errors, unskilled users or those unfamiliar with the software's clinical applications should not be vendor responsibilities.

Future Changes

Patient populations and norms may differ from software-embedded rules. For instance, morbidly obese patients may exceed smart pump parameters, which thus miscalculate infusion dosages. Software may require input in kilograms for one function and input in pounds for another. Many software specifics may not be enumerated in sales contracts or are overlooked in arcane technical appendices. These situations are numerous and cause many downstream issues. Vendors cannot predict all eventualities and cannot be held responsible for them.

Data-in-Context

In many HIT systems, physicians must enter patients' weights before entering medication orders. For non–weight-based dosages, the physician may estimate weights. However, if the next physician is ordering drugs for which exact weights are critical, the prior estimates could lead to harmful dosing. Adding weight qualifiers (eg, “estimate”) only emerge in hindsight. Another example recounts how an infant's incorrect weight was entered in the electronic medical record, which then generated dangerous dosing guidelines. Correcting the seemingly simple error required substantial effort and necessitated the vendor's “unlocking” the electronic medical record.2 Can vendors be expected to anticipate situations like these?

Incentives

Vendors require funds to engineer improvements, to meet user requests, and to enhance marketing prowess. Distinguishing remedial safety changes from new functions or fundamental improvements is nontrivial, no less so than prioritizing changes needed now vs subsequently. Exposure to broad product liability would force vendors to alter relations with users, modifying supply-and-demand deliberations. Vendor fears about liability could lengthen innovation cycles.

There should be ways to rebalance vendor and clinician responsibilities equitably to encourage innovation while reducing the risks faced by patients. Several approaches are possible.

State and National Organizations

State and national organizations with responsibility for inspecting hospitals—including state health departments and the Joint Commission through its certification of the Centers for Medicare & Medicaid Services handbook conditions of participation—would have the power to reset rules affecting contract terms. However, the HIT industry's Certification Commission for Healthcare Information Technology has not heretofore protected clinicians and health care organizations in this way.

Clinicians and Medical Informaticians

Professional medical organizations could declare that HIT contracts containing blanket hold harmless/learned intermediary clauses are inconsistent with professional practice. Vendors would then have further incentive to focus on patient safety concerns in addition to marketing prowess.

Clinicians and Health Care Institutions

Individual clinicians or health care professional associations could lobby their legislators to demand federal law changes that facilitate vendors' acceptance of safety responsibilities—much as with seat belt laws. In many congressional districts, medical facilities are major employers and economic engines. In addition, academic medical institutions have extraordinary moral standing and are likewise affected by these contracts.

Counsel

The American Health Lawyers Association, representing hospitals and health care institutions, has the expertise to write improved model contracts (and propose legislative language) to delineate reasonable vendor responsibilities and liabilities.

Disclosure

A safe HIT environment requires disclosure of problems to the health care community. This is the minimum responsibility of HIT vendors. Provisions in many contracts, however, prohibit health care organizations from disclosing software attributes, even to the other HIT licensees (eg, clinicians, hospitals) using the same products. Such nondisclosure and the doctrine of learned intermediaries defeat patient safety efforts. Users should be quickly informed of suspected HIT errors via e-mailed bulletins. If the errors are shown to be user generated or idiopathic, all users should be immediately notified of the resolution. Without open presentation of risks, failure to mitigate even fully verified HIT risks to patient safety remains economically self-serving.

Accordingly, we are unable to identify litigation involving harm to patients arising from faulty vendor HIT, despite an extensive search of public records. Nondisclosure, compelled arbitration, and confidentiality clauses restrict settlements from public view. Moreover, the hold harmless/learned intermediary clauses, along with the costs of retaining forensic engineers to “prove” fault, generally prohibit such suits. Indeed, no party has incentives to publicize its involvement in errors resulting in patient harm.

Arbitration

The industry can also elect to develop a noncloseted arbitration solution, included in new and renegotiated HIT contracts, to create equitable and efficient incentives for relief. Arbitrators could set redress scope, stipulate response periods and compensation for failure to redress the problem, and impose obligations to disclose and provide remedies to affected licensees.

In the 21st century, medicine needs and expects HIT “dividends,” much of which are long overdue. Some of these dividend delays result from legal invulnerabilities HIT vendors have heretofore enjoyed. Vendors shifted liability to users and inserted other contractual language that effectively concealed from users the fuller knowledge of serious faults in their HIT systems. Those steps are both counterproductive and unethical. Reducing incentives for getting software right is neither a prescription for HIT health nor for lessened patient harm. Whether the industry is obliged to accept traditional liability, regulatory oversight,15 or both, restricting the hold harmless/learned intermediary clauses should help to speed the repair of faulty HIT.

There are doubtless many less-than-qualified clinician HIT users. In these cases, there are no shortages of attorneys willing to pursue those whose insufficient or incorrect use of HIT was associated with harm to patients. But in many cases, HIT problems may be caused not by clinicians but by poor software. While it is proper that HIT vendors should be held harmless from others' failures, being held responsible for their own errors will bring incentives into balance and enable learned intermediaries to focus on patient care, rather than on coping with product inadequacies or failures.

Corresponding Author: Ross Koppel, PhD, 113 McNeil Bldg, University of Pennsylvania, Philadelphia, PA 19104 (rkoppel@sas.upenn.edu).

Financial Disclosures: Mr Kreda reported that he is an independent consultant advising health care information technology companies on business and product development and may join one or several of these companies. Weakening the “hold harmless”/“learned intermediary” clauses would subject any health care information technology firm in which he becomes involved to greater liability. Dr Koppel reported no disclosures.

Additional Contributions: We thank Edward J. Zych, JD (Geisinger System Services, Danville, Pennsylvania), Christine A. Sinsky, MD (Department of Internal Medicine, Medical Associates Clinic and Health Plans, Dubuque, Iowa), Robert Elson, MD, MS (Clinical Systems Design LLC, Shaker Heights, Ohio), Michael I. Harrison, PhD (Center for Delivery, Organization and Markets, Agency for Healthcare Research and Quality, Rockville, Maryland), and Joseph P. Welsh, JD, MBA (Collegiate Consortium for Workforce and Economic Development), for their insightful comments and encouragement. None of these individuals received compensation for their contributions.

 Restatement (Third) of Torts §6(d) (1963). Philadelphia, PA: American Law Institute; 1992 
 Agency for Healthcare Research and Quality Conference on EHRs and Patient Safety; October 22-23, 2008; Washington, DC 
Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care—an interactive sociotechnical analysis.  J Am Med Inform Assoc. 2007;14(5):542-549
PubMedCrossRef
Chaudhry B, Wang J, Wu S,  et al.  Systematic review: impact of health information technology on quality, efficiency, and costs of medical care.  Ann Intern Med. 2006;144(10):742-752
PubMed
Ash JS, Sittig DF, Dykstra R, Campbell E, Guappone K. Exploring the unintended consequences of computerized physician order entry.  Stud Health Technol Inform. 2007;129(pt 1):198-202
Han YY, Carcillo JA, Venkataraman ST,  et al.  Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system.  Pediatrics. 2005;116(6):1506-1512
PubMedCrossRef
Koppel R, Metlay JP, Cohen A,  et al.  Role of computerized physician order entry systems in facilitating medication errors.  JAMA. 2005;293(10):1197-1203
PubMedCrossRef
Koppel R, Wetterneck T, Telles JL, Karsh B-T. Workarounds to barcode medication administration systems: their occurrences, causes, and threats to patient safety.  J Am Med Inform Assoc. 2008;15(4):408-423
PubMedCrossRef
 Cedars-Sinai learns from its CPOE failure: get the most skeptical physicians involved. Inside Healthcare Computing. August 22, 2005;15(21). http://www.insidehealth.com/ihcwebsite/sampleissue82205.html. Accessed March 1, 2009
Karsh BT, Escoto KH, Beasley JW, Holden RJ. Toward a theoretical approach to medical error reporting system research and design.  Appl Ergon. 2006;37(3):283-295
PubMedCrossRef
Carayon P, Schoofs Hundt A, Karsh BT,  et al.  Work system design for patient safety: the SEIPS model.  Qual Saf Health Care. 2006;15(suppl 1)  i50-i58
PubMedCrossRef
van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry.  J Am Med Inform Assoc. 2006;13(2):138-147
PubMedCrossRef
Silverstein SM. Sociotechnologic issues in clinical computing: common examples of healthcare IT difficulties. Drexel University Web site. http://www.ischool.drexel.edu/faculty/ssilverstein/failurecases/?loc=other. Accessed December 9, 2008
Hoffman S, Podgurski A. Finding a cure: the case for regulation and oversight of electronic health record systems.  Harv J Law Technol. 2008;22(1):1-63
 Professors call for regulation of electronic health records. ScienceDaily Web site. http://www.sciencedaily.com/releases/2008/10/081030102612.htm. Accessed December 10, 2008

First Page Preview

First page PDF preview

Figures

Tables

Interactive Graphics

Video

Country-Specific Mortality and Growth Failure in Infancy and Yound Children and Association With Material Stature

Use interactive graphics and maps to view and sort country-specific infant and early dhildhood mortality and growth failure data and their association with maternal

 Restatement (Third) of Torts §6(d) (1963). Philadelphia, PA: American Law Institute; 1992 
 Agency for Healthcare Research and Quality Conference on EHRs and Patient Safety; October 22-23, 2008; Washington, DC 
Harrison MI, Koppel R, Bar-Lev S. Unintended consequences of information technologies in health care—an interactive sociotechnical analysis.  J Am Med Inform Assoc. 2007;14(5):542-549
PubMedCrossRef
Chaudhry B, Wang J, Wu S,  et al.  Systematic review: impact of health information technology on quality, efficiency, and costs of medical care.  Ann Intern Med. 2006;144(10):742-752
PubMed
Ash JS, Sittig DF, Dykstra R, Campbell E, Guappone K. Exploring the unintended consequences of computerized physician order entry.  Stud Health Technol Inform. 2007;129(pt 1):198-202
Han YY, Carcillo JA, Venkataraman ST,  et al.  Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system.  Pediatrics. 2005;116(6):1506-1512
PubMedCrossRef
Koppel R, Metlay JP, Cohen A,  et al.  Role of computerized physician order entry systems in facilitating medication errors.  JAMA. 2005;293(10):1197-1203
PubMedCrossRef
Koppel R, Wetterneck T, Telles JL, Karsh B-T. Workarounds to barcode medication administration systems: their occurrences, causes, and threats to patient safety.  J Am Med Inform Assoc. 2008;15(4):408-423
PubMedCrossRef
 Cedars-Sinai learns from its CPOE failure: get the most skeptical physicians involved. Inside Healthcare Computing. August 22, 2005;15(21). http://www.insidehealth.com/ihcwebsite/sampleissue82205.html. Accessed March 1, 2009
Karsh BT, Escoto KH, Beasley JW, Holden RJ. Toward a theoretical approach to medical error reporting system research and design.  Appl Ergon. 2006;37(3):283-295
PubMedCrossRef
Carayon P, Schoofs Hundt A, Karsh BT,  et al.  Work system design for patient safety: the SEIPS model.  Qual Saf Health Care. 2006;15(suppl 1)  i50-i58
PubMedCrossRef
van der Sijs H, Aarts J, Vulto A, Berg M. Overriding of drug safety alerts in computerized physician order entry.  J Am Med Inform Assoc. 2006;13(2):138-147
PubMedCrossRef
Silverstein SM. Sociotechnologic issues in clinical computing: common examples of healthcare IT difficulties. Drexel University Web site. http://www.ischool.drexel.edu/faculty/ssilverstein/failurecases/?loc=other. Accessed December 9, 2008
Hoffman S, Podgurski A. Finding a cure: the case for regulation and oversight of electronic health record systems.  Harv J Law Technol. 2008;22(1):1-63
 Professors call for regulation of electronic health records. ScienceDaily Web site. http://www.sciencedaily.com/releases/2008/10/081030102612.htm. Accessed December 10, 2008
CME Course for:


You need to register in order to view this quiz.


To understand the clinical management of acute heart failure syndromes.
Accreditation Information The American Medical Association is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.
The AMA designates this journal-based CME activity for a maximum of 1 AMA PRA Category 1 CreditTM per course. Physicians should claim only the credit commensurate with the extent of their participation in the activity.
Physicians who complete the CME course and score at least 80% correct on the quiz are eligible for AMA PRA Category 1 CreditTM.
Note: You must get at least of the answers correct to pass this quiz.
Note: You must get at least of the answers correct to pass this quiz.
You have not filled in all the answers to complete this quiz
The following questions were not answered:
Sorry, you have unsuccessfully completed this CME quiz with a score of
The following questions were not answered correctly:
For CME Course: A Proposed Model for Initial Assessment and Management of Acute Heart Failure Syndromes
Indicate what changes(s) you will implement in your practice, if any, based on this CME course.
To view and print your certificate and access a summary of your CME courses go to My CME.
NOTE:
Citing articles are presented as examples only. In non-demo SCM6 implementation, integration with CrossRef’s “Cited By” API will populate this tab (http://www.crossref.org/citedby.html).
Submit a Response

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Articles Related By Topic
Related Topics
PubMed Articles