The solution to many of the problems of the computer-based recording of the medical record has
been elusive, largely due to difficulties in the capture of those data elements that comprise the
records of the Present Illness and of the Physical Findings. Reliable input of data has proven to
be more complex than originally envisioned by early work in the field. This has led to more
research and development into better data collection protocols and easy to use human-computer
interfaces as support tools. The MEDIGATE System (Medical Examination Direct Iconic and
Graphic Augmented Text Entry System) is a computer enhanced interactive graphic and textual
record of the findings from physical examinations designed to provide ease of user input and to
support organization and processing of the data characterizing these findings27,30. The primary
design objective of the MEDIGATE System is to develop and evaluate different interface designs
for recording observations from the physical examination in an attempt to overcome some of the
deficiencies in this major component of the individual record of health and illness. KEYWORDS:
Medical, Record, System, Physical Examination, Interactive Graphical Interface, Vocabulary,
Hypertext, Object-Oriented, Semantic Network, and GUI.
I. Introduction
Since the inception of medical computing three decades ago there has been extensive discussion
of the value of developing an interactive computer-based clinical record system for the practitioner
to provide routine decision support for patient care and for the capture of both contemporaneous
and longitudinal data important to clinical epidemiology, quality assurance, risk management, and
the development of increasing varieties of experiential based reasoning. Although there has been
some limited success, the development of a comprehensive computer-based record system has been
elusive primarily due to difficulties in the capture of data elements of the Present Illness and of
the Physical Findings, as well as in logistic issues such as information entry and retrieval at the
site of care or need and interface issues.
The primary objectives of the MEDIGATE System are to elucidate findings from the physical
exam and to investigate and implement an interface for the collection of these findings. This
system should be rapid and easy to use, reduce error, facilitate interactive processing and
immediate user feedback, and capture quantitative and qualitative clinical data. This report is
concerned with the characterization of a usable interface for the input of physical findings and with
its implementation in the MEDIGATE System.
II. Background
The importance of accurate acquisition and recording of the history and physical examination has
been apparent since the origins of modern medicine in the 19th century. As early as the mid 60's,
the processing of pictorial information for use in the medical field offered promise of dramatic and
significant contributions to the health sciences29. Concepts of the interactive graphic medical
record system were investigated and implemented on the PLATO (Programmed Logic for
Automated Teaching Operations) system at the University of Illinois in 197422,23,24,25, using an
approach for the input of data from physical findings that has been used in paper form in several
contexts and that has since been termed "direct manipulation" in the vocabulary of interactive
design14,15,16.
By the mid eighties, increasing use of images and graphics was seen within the medical
community along with increased awareness of a need for alternative design of computer systems
in terms of mixed initiative dialogs in human interfaces5,6,11,12,17,19. Over the past few years,
techniques such as PLATO's direct manipulation have been deemed useful but with an evident
need for enhancements as in the work reported here27,30.
Clearly, a medical computer system must embody some notions of clinical context, concepts, and
methods of anticipation, clinical inference, and data acquisition. Concern for clinical inference
has often posed a trap in earlier efforts which led to the development of systems that primarily
focused on diagnostic inference. Such emphasis may be in conflict with the variety of methods
that the physician has developed in order to efficiently acquire and record information about the
patient, as, for example, in the physician's concern in describing findings in a way that supports
dynamic observations of change. Thus, the construction of any system for input of physical
findings should support methods that debrief the individual physician as rapidly as possible and
in a way that is cognitively satisfying. This system should also provide means for the user to
access current medical techniques and knowledge sources.
III. Interface Requirements
Clinical data are often incomplete, highly subjective, qualitative, non-standardized, and sometimes
ambiguous and difficult to verbalize. Contemporary interface designs have often not afforded
appropriate tools to encapsulate and organize data of these types27, 30. Interfaces have often not
provided the freedom to capture the richness of inherently graphic and pictorial findings
particularly germane to essentially topographic domains as the physical examination, and there
is consequent lack of confidence in the results of the processing owing to potential incompleteness
and ambiguity of the data. It may be possible to use imaging techniques such as radiologic
localization or ultra sound to provide more meaningful references in an individual case than that
of arbitrary topographical markings such as Right Upper Quadrant.
It is crucial to design ways that make clinical information more complete, such as having the
physician check for additional findings, explicitly specifying items that were examined versus
those not examined, and creating a better representation of the clinical data set by using
standardize vocabularies and definitions such as the work currently being done with UMLS10 and
SNOMED3.
The ordering of regions examined is variable depending upon individual patient's problems,
physicians' proclivities and specialties, and/or external standards such as routine/normal
examination forms. An invariant sequential approach will not accommodate these needs.
Previous research25 has shown both the value of allowing for guided entry of findings along with
the ability for free-form entry of findings. Thus the need for a system design that supports
flexibility and capability of anticipating of the physician's style is very important. The
MEDIGATE System has integrated both of these approaches.
Levy and Lawrance8,9 point out that in order to encourage the use of computers in health care
settings, there must be incentives and training programs for using these systems. Positive
reinforcement and on-line guidance can be strengthened through a well developed interface that
allows for quick data entry that is simple and intuitive.
The above highlight important requirements to be considered in the development of a usable interface for the collection of physical findings:
IV. Design Principles of MEDIGATE
The MEDIGATE System(1)
was developed to address some of the interface problems noted during
the PLATO based research, with current database and data analysis needs in mind. The primary
function is to provide an intuitive user interface that is more natural for the physician to use and
that may also be employed as a front-end for existing medical record and consultation systems.
The interface requirements posed challenging problems which led to the decision to incorporate
into the MEDIGATE System the following characteristics which satisfied most of the needs for
a dynamic interactive user interface: 1) an object-oriented approach, 2) menus that allow multiple
ways of giving the same command, 3) an interface where the user can give most commands at
virtually any time, 4) multiple windows allowing the user to move around the system with ease,
and 5) an elaborate graphical interface that is adaptable to the users' needs.
The approach of the MEDIGATE System involves a departure from earlier interface design
efforts. Rather than attempt to use the system as a great equalizer to blindly prompt the physician
in a rigid, predefined unalterable sequence for additional information and to provide diagnostic
advice, an explicit attempt is made to parallel the physician's current decision making and
information gathering style, providing prompts only when relevant to the current context. The
basic system for input of the physical findings is similar to graphic pen to paper approaches with
which users are more familiar, thus allowing higher degrees of freedom for the capture of relevant
data.
The MEDIGATE System presently focuses on aiding the practitioner in developing and
maintaining the record of findings from the physical exam. The system utilizes a pre-defined
object-oriented approach that allows the physician to graphically and textually describe the
findings during an examination by the drawing of appropriate object-oriented graphics or icons
representing the observations on a pictorial representation or caricature of an area of the body.
The system also allows for free-text entry. Once an instance of a finding has been specified, the
user can then indicate attributes of that finding by selecting the appropriate attributes and modifiers
from a menu presented conjointly with the graphic. With different iconic designs, a composite
of multiple findings in a given location may be created, thus depicting graphically a state of
related findings.
One issue of design and development involves the nature of the background figure in the active
window on which the examiner-user "places" the icon indicating a finding. The important issue
is the ease and clarity with which the examiner is able to record the findings through the relational
landmarks on a topographic sketch. This sketch should vary with individual differences and these
may be made more specific with reference to imaging techniques. Furthermore, the choice of the
optimal figure or caricature may depend on the input device to be used. In the PLATO
implementation26, input was by touch using an infrared grid over the interactive graphic display
panel - though convenient, resolution was limited and immediate proximity to the examiner, and
hence, often, to the subject, was required. Current mouse and trackball input devices along with
the advent of pen-based computing not only provide much higher resolution for input but also
support greater flexibility in the placement of the input monitor, leading to less intrusion on the
attention and curiosity of the patient.
There is also the possibility of getting more realistic landmarks from current imaging techniques
such as Magnetic Resonance Imaging, Computerized Axial Tomography, Radiological and Echo
Scan. Whether or not this will provide meaningful information for more accurate analysis has yet
to be determined.
An important tactical design is to minimize the number of explicit frame selections required of the
examiner by embedding such selection in pre-determined sequences and/or sets of frames sensitive
to the environment of care, the patient, and the practice and custom of the examiner. These
factors should determine not only the sequence of examination and input but also the level of detail
involved at each stage.
In order to maintain the integrity of the database it is vital that the examiner not be prompted to
respond to queries at a level of detail beyond that of their basic observations; it is only in this way
that the system can "know" the level of detail implied by the examiner when s/he uses broad
categories such as "within the normal range" or "normal to percussion and auscultation," as well
as to be assured that the database thus secured does not contain surplus and/or spurious findings27.
Similarly, the examiner must be able to defer or leave out portions of the examination without
generating operational complexity or other user penalty, and must be able to express uncertainty
regarding any observation for which input is provided. Finally, the vast majority of observations
(somewhat over 95%)25 can be anticipated and properly characterized through appropriate system
design. Provision must, of course, be made for input by free text of the other 5%.
Since the majority of observations from portions of the physical examination are normal most of
the time, the custom of physicians has been, on paper forms, to simply and rapidly check off
"normal" when appropriate for each of the regional or physiologic systems into which the physical
examination is divided. The difficulty here is that there is no way for an external observer to
know - according to the individual training and custom of the examiner, the environment of care,
the problem presented during that clinical encounter, and the like - what elements of the physical
examination the particular user has actually explored, and hence, what s/he intends to imply by
"normal" or other term of art. In the MEDIGATE System, an essential component of an initial
customization is that the user specify at the outset those variables that the user-examiner
customarily/routinely means to imply when using default indicators such as "normal." This
routine set of findings generates data input and associated text that is considered "normal" for a
particular region.
Thus the resulting collection of findings is less ambiguous and through the use of thesauruses,
it can map into the standardized vocabularies such as those provided through UMLS and
SNOMED making it possible for better analysis. Hence, the resulting database (and narrative
report) has greater reliability and validity than when assumptions as to the meaning of default
indicators must be made by external users of the database.
There are a number of advantages achieved by the use of direct manipulation techniques, by the
use of core defaults of routine sets of findings, and by the use of automatic text generation: 1)
Entry is easy and expedient; 2) By not relying on user memory, omission of findings is
minimized; 3) Quality assurance is improved; 4) Risk management is enhanced; and 5) Record
keeping for later use is facilitated.
V. Interface Specification and Utilization of MEDIGATE
The interface for the physical examination in the MEDIGATE System consists of a series of
frames depicting the whole body and regions of the body; e.g., head, neck, chest. Each region
has an associated set of physical examination findings(2). These are grouped in relation to a primary
category - usually in reference to a body system; e.g., abdomen region: gastrointestinal system
and posterior chest: pulmonary (lung) system. Significant portions of other systems may be
included; e.g., major blood vessels in the abdomen region.
The starting physical exam window contains a table of contents to which the user has immediate
access (see Figure V.1). Some of the body regions have an "N" in the box to the immediate left.
This designates what the physician routinely checks for and defaults to "N" for "Normal".
Further frames or the regions of immediate concern may be selected at any time by clicking on
the appropriate region of the whole body caricature or through a menu.
The order of frames may follow a sequence tailored to the user's custom, or a sequence that s/he
has altered for a specific patient, or a sequence determined by external but pre-defined programs
such as those dependent on complaints, patient response forms, questionnaires, site and/or
circumstances of the patient encounter, or follow-up protocols, but always with the option of
overriding such pre-defined sequences to call up any desired input frame on demand.
The examiner-user interacts with a graphic caricature, in the active window, of the region of the
body that is the subject of attention. The physician may quickly enter the current findings by: 1)
duplicating, placing and copying pre-programmed graphics and/or icons on the topographic
caricature, 2) drawing in the findings freehand style as they are noted, or by 3) mapping to a
pre-defined grouping of findings and modifying the findings to match the specific findings for the
patient in question (Retrograde Maps(3))27. Retrograde Maps (RMaps) were suggested by Ben
Williams21 in the mid 70's as a method to allow the physician to select a pre-defined grouping of
findings, thus enabling for the quick entry of the findings.
The idea of RMaps can be thought of as a frame. A frame is a collection of semantic net nodes and slots that together describe a stereotyped object, act, or event28. The RMaps within the MEDIGATE System are frames that consist of collections of findings that the physician can quickly map to and modify in order to match the specific findings for the patient in question. The retrograde map serves as a reminder of findings usually associated with a disease process, as well as a reminder of key findings that may differentiate other disorders with a similar presentation.

Figure V.1 -- Physical Exam Window
Thus, the examiner places a given instance of a finding (object) in the desired location. These
objects are selected from a hierarchical listing of classes of objects. The specific instance of the
finding (object) encapsulates the given frame of knowledge about itself - i.e., each finding
"maintains" the attributes that are important to its characterization. Hence, once a given instance
of the object has been placed in the desired location, the examiner may select attributes about the
object through the knowledge-base of information contained within the object specified. A listing
of attributes to be selected is displayed by hierarchical menus and is also used for generation of
the narrative notes of the physical findings and then for passage of the finding to the database.
Some attributes are also computer generated through graphical placement of the object as in a
specific sub-division of a region; e.g., Abdomen: Right Upper Quadrant. This saves user time
and reliance on human memory. Upon completion of the exam, the physician will have
immediate feedback as to which regions have been checked along with a note of any problem areas
denoted by "P" (see Figure V.1). In this patient "N" has been automatically replaced by "P" in
the abdomen region.
For instance, upon examination of the abdomen, the physician will select the abdominal region
from the Exam Status window (see Figure V.1). This will open to the abdominal frame (see
Figure V.2) which defaults to what the physician routinely checks for and finds as "normal"
findings. This physician routinely checks for scars, tenderness, point pain, masses, and guarding.
If none of these are present, then they are designated normal (i.e., the "N" in the box directly left
to the finding). If the patient has "Normal" findings within the abdomen, the physician simply
clicks on the box to the left of the "N", generating an "X" to designate by an intentional
affirmation that this patient has had all of these findings checked and they were normal. While
most systems allow for the description of findings not checked to be listed as normal without any
positive affirmation, thus possibly allowing for ambiguities, MEDIGATE forces the examiner to
designate what has and what has not been checked. This constraint should minimize ambiguities
and provide for a more complete database.
If there are abnormalities during the examination, a different procedure would follow. For example, during this abdominal examination, the physician notes the following findings: 1) Flat Contour, 2) Medium Wall, 3) Point Pain-Located Within The Right Lower Quadrant and Right Upper Quadrant, 4) Moderate Guarding-Located Within The Right Lower Quadrant, 5) Marked Tenderness-Located Within The Right Lower Quadrant and Left Lower Quadrant, 6) No Scar, 7) No Mass, 8) Bruit-Located in the midline area that is possibly an aneurysm and 9) Rash-Located Within the Right Upper Quadrant (see Figure V.2).
The findings that are immediately visible through the finding window can be entered through the selection of the appropriate findings and then modifying each finding from a menu of possible attributes. These findings can either be drawn in free-hand or by selecting an icon from a palette of pre-defined shapes and reproducing that shape on the topographic caricature. Access to other findings can be achieved through a couple of different means; either through the selection of

Figure V.2 -- Abdominal Frame of Physical Exam
"Other Findings" or through the selection of findings based upon "Systems". Once an
abnormality is noted, other abdomen findings are immediately displayed. Here the physician is
able to select Bruit and free-hand draw a diagram showing its location and shape. However, rash
is not available as an immediate finding within the abdomen frame. To enter this finding, the
examiner can simply open the skin or dermatological findings window by selecting it from the
"Systems" menu and enter the rash finding along with its attributes.
After entering the attributes for a specific finding, text designating the appropriate attributes of
that finding such as "Tenderness" is generated and displayed in the Patient Report Window (see
Figure V.2). Note that in this example, "Tenderness" has the following attributes associated with
it: Location Within the Right Lower and Left Lower Quadrants and Marked. The locations are
automatically generated by the previously defined sub-divisions (noted by dotted lines) while the
"Marked" attribute was selected from a pop-up menu. The text for these attributes is generated
by an expert algorithm designed specifically for the MEDIGATE System. The text generation
algorithm can be customized to accommodate an area of practice or the examiner's preferences.
A crucial concern is the ongoing feedback to the physician provided by the developing textual
report.
VI. Future Work and Ideas
Currently the MEDIGATE System has only been fully incorporated into the abdomen and chest regions. Although work has been done towards completing the other topographic regions, this is still incomplete. Thus, the database needs to be enhanced to incorporate the principles developed throughout and to include complete listings of findings within each body region. The MEDIGATE program should also include hierarchical listings of findings in the different body systems, such as the orthopedic system.
Although it is very easy for the user to quickly move to a body region such as the abdomen and
enter findings for that region, it is still difficult for the physician to quickly enter normal findings
that s/he routinely checks for. As discussed earlier, work has been done towards quick entry of
routine findings through the Exam Status window, but the front end interface still needs
enhancement so that these routine checks can be done just as quickly as the physician does now,
still retaining the ability to go deeper into the system upon demand.
Recently, much development has been done with pen-based computers. Pen-based system are not
only more natural for the physician to use but also brings the view closer to the action, thus
providing more direct continuous control which will provide for higher precision. As previously
noted, written records can not be as precise as with MEDIGATE without much effort. This is
because MEDIGATE emphasizes completeness and precision, and suppresses ambiguity by its use
of the current technology which promotes: 1) accuracy (graphical feedback), 2) verification with
immediate feedback, and 3) the teasing out of subtleties from clinical data. By the blind
implementation of a medical record with a pen-based system, there will still be the problems of
ambiguity, inaccuracy, and incompleteness that are associated with hand-written records.
Pen-based systems built on a good interface incorporated with proper constraints would provide
the user with a tool that they are familiar with (the pen) and also provide them with a way to
organize their data better, along with the other benefits that are provided by the processing power
of a computer. This would provide the physician with continuous control methods such as
scribing, drawing, and gesturing for obtaining more qualitative and quantitative data. There are
still unresolved problems associated with handwriting recognition techniques that some of the
methods being studied by fuzzy logic may help answer and make pen-based systems available as
a valuable interface tool.
Multimedia technology is also progressing at a promising rate and the integration of audio and
video links that provide for immediate reference may also be a powerful addition to any medical
information system. This could allow for the examiner to call up a medical reference and/or a
video picture of a procedure of concern, thus getting immediate feedback and reminders.
Telemedicine18,20 is of importance in such areas as consultations and telemetric situations as in the
hospital Emergency Department. Thus, the recording of findings can be collected and graphically
displayed at a remote site for evaluation and decision making.
It is also critical to tie any system into a common vocabulary such as the work being done in
UMLS and SNOMED. This provides meaningful use of information across different database
systems. In order to interact with these vocabularies, it is imperative to associate a coding for the
graphics indicating the findings along with their respective locations. There also may be a way
to map from the coding of the location to a specific subset of symptoms.
Finally, there have been many advances in the use of the Intranet and Internet that allow users of
different systems to share information. With the advent of the World Wide Web (WWW)
information, that was only available through articles in journals which may take weeks or months
to become published and disseminated, is now available within minutes to hours of production.
MEDIGATE can utilize current searching techniques and immediately access new information
as the need arises in a clinical or research situation for diagnostic, treatment or other medical
purposes. Also, JAVA7 and ActiveX1 has made it so that full-blown applications can be developed
and run on the WWW. This makes it possible to implement the MEDIGATE system for use on
the WWW and new releases can be immediately accessed along with any new mappings to systems
such as UMLS, SNOMED, and the like.
VII. Summary and Conclusions
The solution to many of the problems attendant upon the computer-based recording of the medical
record has long awaited the advanced technological development of computer hardware and
software systems. Reliable input of data has proven to be more complex than originally
envisioned by early work in the field. This has led to more effort into the development of good
interfaces. The characteristics of the user are very important to the development of a good
interface system.
In the past, most medical information systems have not utilized many of the tools of software
engineering, especially in the area of interface design. Recently technological advances in
computer science have provided some means to meet the complex needs of the medical
community.
Components of the medical record system are examined as repositories of medical data, each with
characteristic problems of input and retrieval. In early systems, the focus was primarily on the
storage and processing of the data rather than on the problems associated with the collection and
display of the data and the associated issues of interface design.
An adequate interface system must be concerned with the cognitive and manipulative style of the
user together with the characteristics of the data. Additional software engineering techniques can
be developed to utilize this principle to provide for an easily useable interface.
The MEDIGATE System has been developed with current technology to study some of the
problems in interface design. The design employs an object-oriented approach through the direct
manipulation of graphical objects, along with hypertext approaches and semantic networking to
build a system that is more natural to the user.
Principles of the MEDIGATE System can be applied to newer technologies such as pen-based
computers and voice recognition systems, thus allowing for greater flexibility and versatility in
the user interface. MEDIGATE could be used as a core component for these emerging
technologies, thus enforcing completeness, disambiguation, and precision.
It is envisioned that the principles embodied in the MEDIGATE System will play a significant role
in future computer-based medical information systems by allowing for the capture of meaningful
data and providing for display and utilization of the data, thus enhancing the quality of patient
care, risk management, and clinical research.
References
[1] ActiveX, ActiveX Home Page, URL: http://www.activex.com, 1997.
[2] Berkow R., & Fletcher A.J.; The Merck Manual of Diagnosis and Therapy; Fifteenth
Edition by Merck Sharp & Dohme Research Laboratories, Rahway, N.J. 1987.
[3] Cote R.A., Rothwell D.J., Palotay J.L., Beckett R.s., Brochu L., eds.; The
Systematized Nomeclature of Human and Veterinary Medicine; College of American
Pathologists and American Veterinary Medical Association, 1993.
[4] DeGowin R.L.; DeGowin & DeGowin's Bedside Diagnostic Examination; Fifth
Edition by Macmillan Publishing Company, New York 1987.
[5] Engelbrecht R.; "Experiences in Designing Human-Computer Interfaces for Doctors'
Office Computers"; Proceedings of the IFIP-IMIA Second Stockholm Conference on
Communication in Health Care, Stockholm, Sweden, Peterson H.E. & Schneider W.
ed, pp. 219-233, 1985.
[6] Ikeda H., Ohtomo M., & Kambe M.; "Intelligent Access of Health Care Databases";
Proceedings of the IFIP-IMIA Second Stockholm Conference on Communication in
Health Care, Stockholm, Sweden, Peterson H.E. & Schneider W. ed, pp. 257-260,
1985.
[7] JAVA; JAVA Home Page; URL: http://java.sun.com, 1997.
[8] Levy A.H. & Lawrance D.P.; "Data Acquisition and the Computer-based Patient
Record"; in Aspects of the Computer-based Patient Record, M. J. Ball and M. F.
Collen, Eds., Springer-Verlag, New York, pp. 125-139, 1992.
[9] Levy A.H. & Lawrance D.P.; "Information Retrieval"; in Aspects of the
Computer-based Patient Record, M. J. Ball and M. F. Collen, Eds., Springer-Verlag,
New York, pp. 146-152, 1992.
[10] Lindberg D.A.B. & Humphreys B.L.; "UMLS Knowledge Sources: Tools for
Building Better User Interfaces"; in Aspects of the Computer-based Patient Record,
M. J. Ball and M. F. Collen, Eds., Springer-Verlag, New York, pp. 121-125, 1992.
[11] Mandil S.H.; "The Relevance of Images and Graphics to Primary Health Care";
Proceedings of the IFIP-IMIA Second Stockholm Conference on Communication in
Health Care, Stockholm, Sweden, Peterson H.E. & Schneider W. ed, pp. 45-66,
1985.
[12] Reichertz P.L.; "The Need For Alternative Design Of Computer Systems For
Improved Human-Computer Communication"; Proceedings of the IFIP-IMIA Second
Stockholm Conference on Communication in Health Care, Stockholm, Sweden,
Peterson H.E. & Schneider W. ed, pp. 85-97, 1985.
[13] Seidel H.M., Ball J.W., Daines J.E., Benedict G.W.; Mosby's Guide to Physical
Examination; The C.V. Mosby Company, St. Louis 1987.
[14] Shneiderman B.; "The Future of Interactive Systems and the Emergence of Direct
Manipulation"; Behavior and Information Technology, 1(3):237-256, 1982.
[15] Shneiderman B.; "Direct Manipulation: A Step Beyond Programming Languages"; IEEE Computer, 16(8):57-69, Aug. 1983.
[16] Shneiderman B.; Designing the User Interface: Strategies for Effective
Human-Computer Interaction; Addison-Wesley, Reading, Mass 1987.
[17] Solheim B.G. & Hansen R.; "Actual Problem For Human-Computer Communication
In Hospital Laboratory Systems"; Proceedings of the IFIP-IMIA Second Stockholm
Conference on Communication in Health Care, Stockholm, Sweden, Peterson H.E.
& Schneider W. ed, pp. 81-84, 1985.
[18] UIOWA; University of Iowa Telemedicine Web Page; URL:
http://www.lib.uiowa.edu/hw/telemed, 1997.
[19] Verplank W.L.; "Graphics in Human-Computer Communication: Principles of
Graphical User-Interface Design"; Proceedings of the IFIP-IMIA Second Stockholm
Conference on Communication in Health Care, Stockholm, Sweden, Peterson H.E.
& Schneider W. ed, pp. 113-130, 1985.
[20] Wells R.S. and Lemak C.H.; "Beyond adoption to sustained use: Telemedicine for
rural communities"; Telemedicine Journal 2(4): 285-293. 1996.
[21] Williams B.T.; Computer Aids to Clinical Decisions; CRC Press, Inc., Boca Raton,
Florida, Vol 1 1982.
[22] Williams B.T., Johnson R. & Chen T.T.; "PLATO-Based Medical Information
Systems-Overview"; Proceedings of the 1st Conference on Medical Info. Systems,
Urbana, Illinois, pp. 145-149, October 17-18, 1974.
[23] Williams B.T., Chen T.T., Schultz D.F., & Johnson R.; "A Terminal-Oriented
Clinical Record System"; Computer Graphics, 9(1):115-135, 1975.
[24] Williams B.T., Chen T.T., Schultz D.F., Moll J.D., Flood J.R. & Elston J.;
"PLATO-Based Medical Information System--Variable Keyboards"; Proceedings of
the 2nd Conference on Medical Info. Systems, Urbana, Illinois, pp. 56-61, September
24-25, 1975.
[25] Williams B.T., Chen T.T., Johnson R., & Schultz D.F.; "A Terminal-Orientated
Clinical Record System" in Perkins W.J., (ed), Biomedical Computing; University
Park Press, Chpt 36, pp. 311-321, 1976.
[26] Williams B.T., Foote C.F., Galassie C., Schaeffer R.C.; "Augmented Physician
Interactive Medical Record"; Medinfo 89: Proceedings of the 6th Conference on
Medical Informatics, Beijing-Singapore, Barber B, Cao D, Qin D, Wagner G ed,
North-Holland, Amsterdam, pp. 779-783, 1989.
[27] Williams B.T., Yoder J.W. & Schultz D.F.; "The MEDIGATE System for Direct
Entry of Physical Findings by the Examiner: User Interface Issues"; Proceedings of
The International Health Evaluation Association Annual Symposium on The Art and
Science of Preventive Medicine, La Jolla, California USA, Felitti, V.J. ed, pp.
106-114, 1990.
[28] Winston P.H.; Artificial Intelligence; Second Edition by Addison-Wesley Publishing
Company, Inc., MA 1984.
[29] Yoder R.D., Evan M.R. & Sweeney J.W.; "Processing Pictures With Computers";
JAMA, 200(13): 119:123, June 26, 1967.
[30] Yoder J.W.; The Role of Human-Computer Interaction In Medical Information
Systems: Principles And Implementation of MEDIGATE"; Unpublished Master
Thesis, University of Illinois at Urana-Champaign, 1992.
Footnotes
1. 1 The MEDIGATE System was developed through support from University Park Pathology
Associates and LifeSpan Research Institute.
2. 2 The MEDIGATE database structure of findings was generated by Donald F. Schultz, M.D., based upon early work on PLATO along with the categorization of medical findings as found in clinical texts such as DeGowin4, Merck Manual2, and Mosby's Guide13.
3. 3 To the best of the authors' knowledge, the term "Retrograde Mapping" was first coined by Ben T. Williams, M.D.