On February 25, 2009, at a Health Information Technology Policy Committee Adoption/Certification Workgroup meeting, Dr. Jeffrey Shuren, Director of FDA’s Center for Devices and Radiological highlighted concerns with the current state of regulation around Health Information Systems which are not currently actively regulated by FDA. Dr. Shuren’s testimony highlighted three areas of concern:
- The FDA’s legal and regulatory authorities over medical devices and the approach we have taken with respect to HIT to date;
- A Review of various safety issues that have been reported to the FDA and other unique challenges presented by HIT; and
- Possible approaches the FDA could take in the future to help address these concerns.
(See Page 1 of prepared testimony of Jeffery Shuren, Director FDA Center for Devices and Radiological).
Legal and Regulatory Background
Traditionally the FDA’s regulatory process for health information systems has taken a hands-off approach – Dr. Shuren noted “To date, FDA has largely refrained from enforcing our regulatory requirements with respect to HIT devices. (See Page 1 of prepared testimony of Jeffery Shuren, Director FDA Center for Devices and Radiological).
In February 2008, the FDA proposed that Medical Device Data System (MDDS) Rule that would exempt certain medical systems from premarket disclosures under 510(k) of the Food, Drug and Cosmetic Act which generally requires device manufacturers who must register, to notify FDA of their intent to market a medical device at least 90 days in advance. The proposed MDDS Rule would change premarket notification requirements for medical system used only by a healthcare professional. The software may transmit, store, or display data from medical devices without altering the function or parameters of the connected devices and system does not contain any diagnostic, decision support, alarm functions, and does not utilize irreversible compression. (73 Fed. Reg. 7503, 7504 (Feb. 8, 2008)(proposed rule 21 CFR § 880.6310)(available at http://edocket.access.gpo.gov/2008/pdf/E8-2307.pdf).While this rule has not officially become law, the FDA has to date refrained from imposing regulatory requirements on certain medical device data systems.
Issues Identified
Some HIT vendors have voluntarily registered and listed their software devices with the FDA, and some have provided submissions for premarket review. Additionally, patients, clinicians, and user facilities have voluntarily reported HIT -related adverse events. In the past two years, we have received 260 reports of HIT-related malfunctions with the potential for patient harm – including 44 reported injuries and 6 reported deaths. Dr. Shuren emphasized that: “Because these reports are purely voluntary, they may represent only the tip of the iceberg in terms of the HIT-related problems that exist.” (See Page 2 of prepared testimony of Jeffery Shuren, Director FDA Center for Devices and Radiological).
A summary (refer to the table below for detailed information on the issues encountered) of the issues identified include-
- Errors of commission, such as accessing the wrong patient’s record or overwriting one patient’s information with another’s (this sometimes can be an issue in incidents involving medical identity theft);
- Errors of omission or transmission, such as the loss or corruption of vital patient data;
- Errors in data analysis, including medication dosing errors of several orders of magnitude; and
- Incompatibility between multi-vendor software applications and systems, which can lead to any of the above.
(See Page 2 of prepared testimony of Jeffery Shuren, Director FDA Center for Devices and Radiological).
Examples of Reported Adverse Events Involving Health Information Technology
Details on four major categories of adverse event types: (1) errors of commission, such as accessing the wrong patient's record or overwriting one patient's information with another's; (2) errors of omission or transmission, such as the loss or corruption of vital patient data; (3) errors in data analysis, including medication dosing errors of several orders of magnitude; and (4) incompatibility between multi-vendor software applications and systems, which can lead to any of the above.
Category Examples
Errors of Commission Example 1: An error occurred in software used to view and document patient activities. When the user documented activities in the task list for one patient and used the ''previous'' or "next" arrows to select another patient chart, the first patient's task list displayed for the second patient.
Example 2: A nuclear medicine study was saved in the wrong
patient's file. Investigation suggested that this was due to a software error.
Example 3: A sleep lab's workstation software had a confusing user interface, which led to the overwriting and replacement of one patient's data with another patient's study.
Errors of Omission or Transmission Example 1: An EMR system was connected to a patient monitoring system to chart vital signs. The system required a hospital staff member to download the vital signs, verify them, and electronically post them in the patient's chart. Hospital staff reported that, several
times, vital signs have been downloaded, viewed, and approved, and have subsequently disappeared from the system.
Example 2: An operating room management software application frequently "locked up" during surgery, with no obvious indication that a "lock-up" was occurring. Operative data were lost and had to be reentered manually, in some cases from the nurse's recollection.
Example 3: An improper database configuration caused manual patient allergy data entries to be overwritten during automatic updates of patient data from the hospital information system.
Errors in Data Analysis Example 1: In one system, intravenous fluid rates of greater than 1,000 mL/hr were printed as 1 mL/hr on the label that went to the nursing / drug administration area.
Example 2: A clinical decision support software application for checking a patient's profile for drug allergies failed to display the allergy information properly. Investigation by the vendor determined that the error was caused by a missing code set.
Example 3: Mean pressure values displayed on a patient's physiological monitors did not match the mean pressures computed by the EMR. system after systolic and diastolic values were entered.
Incompatibility between Multi-Vendor Software Applications Example 1: An Emergency Department management software
between package interfaces with the hospital's core information system and the laboratory's laboratory information system; all three systems are from different vendors. When lab results were ordered through the ED management software package for one patient, another patient's results were returned.
Example 2: Images produced by a CT scanner from one vendor were presented as a mirror image by another vendor's picture archiving and communication system (PACS) web software. The PACS software vendor stipulates that something in the interface between the two products causes some images to be randomly "flipped" when displayed.
Proposed Solutions
Dr. Shuren proposed three alternatives:
- The first approach would be to focus on post-market safety by requiring HIT device establishments to electronically register and list their HIT devices, and to submit Medical Device Reports (MDRs) to the FDA. Under this approach, HIT device manufacturers would be responsible for correcting identified safety issues;
- A second approach would be to focus on manufacturing quality and post-market safety by requiring HIT device manufacturers to comply with the requirements described above, and also to adhere to FDA’s Quality Systems Regulation (QSR). QSR requires manufacturers to adhere to specific minimum guidelines to assure the quality and consistency of products on the market. For example, the regulation requires that device manufacturers establish procedures for handling complaints from users, and for correcting and preventing recurrence of problems. In addition the QSR requires all software devices comply with appropriate design controls to reduce the potential for problems. Design controls are an interrelated set of practices and procedures that are incorporated into the design and development process of a device, in order to check for problems and make corrections in the design of the device before it is put into production; and
- The third approach, the FDA would apply its traditional regulatory framework, and require Health Information Systems to meet all the same regulatory requirements as other, more traditional devices, including risk-based premarket review. Through pre-market review, the FDA could assess the safety and effectiveness of high- and medium-risk devices before they go into market use. The FDA could require that manufacturers provide as prerequisites for approval a clear installation plan for a given HIT device, or a hazard analysis of risk associated with medical-facility-specific configuration. The FDA could also require post-market studies or specific product labeling for particular devices as conditions for approval.
(See Page 3 of prepared testimony of Jeffery Shuren, Director FDA Center for Devices and Radiological).
Guidance from the FDA on the Software Development Process
The FDA has encouraged vendors to follow normal software development practices for medical software for the last two decades. In early, August 2001 the FDA published a guidance document for electronic health record systems and digital signatures. This document is entitled Guidance for Industry, 21 CFR Part 11; Electronic Records; Electronic Signatures Validation (Draft Guidance) available at http://www.fda.gov/ora/compliance_ref/part11.htm. This document is consistent with the FDA’s traditional approach of not regulating medical software that is not embedded http://www.fda.gov/cdrh/ode/351.pdf in medical devices. Generally it is assumed that a trained medical professional will always evaluate any software-generated information, calculation, or medical recommendation. (See http://www.fda.gov/medicaldevices/deviceregulationandguidance/guidancedocuments/default.htm). (18 CFR 880)(available at http://ecfr.gpoaccess.gov/cgi/t/text/text-idx?c=ecfr&tpl=/ecfrbrowse/Title21/21cfr880_main_02.tpl).
The FDA’s recommendation in this guidance document follows traditional software development methodologies:
- System Requirements Specifications. Software requirements are extremely important for computer systems validation. The FDA (and standard software development practices) require that one document end user needs and intended uses, and then should obtain evidence that the computer system implements those needs correctly and that they are traceable to system design requirements and specifications. Often software requirements tests (unit tests) are written before the software is created;
- Ensuring Confidentiality, Integrity and Availability of Electronic Health Records. The FDA emphasizes the importance of ensuring the authenticity, integrity, availability, confidentiality of electronic health records. Safeguards typically include data encryption and use of digital signatures (asymmetric encryption keys) to ensure record authenticity, integrity, and confidentiality;
- Documentation of Validation Activity. The FDA’s guidance’s emphasizes the importance of documenting a validation plan, procedures, and report. “The validation report should document detailed results of the validation effort, including test results. Whenever possible, test results should be expressed in quantified terms rather than stated as “pass/fail.” The report should be reviewed and approved by designated management.” (Section 5.2.3 of FDA Draft Guidance.);
- System Integration of Hardware and Software. With each deployment to perform test cases, prior to testing, one should confirm that all hardware and software are properly installed. EHR systems should include standard operating procedures, equipment lists, specification sheets, and document administrative procedures; and
- Dynamic Testing. Test conditions should include “normal” and also boundary values including a high number of users accessing a network at the same time). Test conditions should extend to boundary values, unexpected data entries, error conditions, reasonableness challenges (e.g., empty fields, and date outliers), branches, data flow, and combinations of inputs. The FDA recommends both black (functional) and white box (structural) testing.
Further Reading
FDA’s 510(k) Operations Could Be Improved, GAO Report
Dr. Shruden Prepared Testiony February 2010
Guidance for Industry 21 CFR Part 11; Electronic Records; Electronic Signatures Validation
[thumb]http://www.fda.gov/MedicalDevices/DeviceRegulationandGuidance/Overview/[/thumb]
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