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Comprehensive

Computerized

Neonatal

Intensive

Care

Unit

Data

System

Including

Real-Time,

Computer-Generated

Daily

Progress

Notes

William W. Lowe, MD; Thomas A. Ciszek, MD; and Keith

J. Gallaher,

MD

ABSTRACT. A neonatal intensive care unit patient data

system, NeoData, which was developed using

microcom-puters connected by a local area network, is described.

The system allows for real-time generation of daily

progress notes, as well as admission and discharge sum-manes. It includes two databases: one for daily patient

data and one for admission/discharge summary data.

Both sets of data are easily accessible for later analysis and report generation. The daily patient data are entered

directly into a computer by the neonatal intensive care

unit medical and nurse practitioner staff; a progress note

is printed immediately thereafter for inclusion in the

patient’s chart. Data from the previous day are selectively carried forward into the current day’s note, minimizing

data entry. Several benefits are derived from this

progress note system, including legibility, tracking of

laboratory and other data, tracking of management plans and procedures due at a later date, and significant time

savings. The system has proved to be easy to learn, and

the neonatal intensive care unit staff have found it to

contribute to the efficient delivery of patient care.

Pedi-atrics 1992;89:62-66; computer program, neonatal

inten-sive care unit, database, data management, information

systems.

ABBREVIATIONS. NICU, neonatal intensive care unit; NNP,

neo-natal nurse practitioner; LAN, local area network.

Computer technology has been applied to a variety

of inpatient activities. These include calculation of

hyperalimentation infusions,’ unit dose medication

management,2 collection and management of

hospi-talization summary data,” automated generation of

official admission or discharge summaries,6’ ‘ and

charting of patient vital signs.’2’4 Several state-wide

neonatal intensive care unit (NICU) data systems

have been implemented, where software from one

center has been made available to other NICUs for

use.”

Although early projects were based on centralized

mainframe computers, since 1979 small

microcom-puter systems have often been used instead. Use of

personal computers allows for local project control

while dependence on the hospital data-processing

department and competition for computing resources

are reduced. During the 1980s, sophisticated

proprie-tary data management software became available,

From the Cape Fear Valley Medical Center, Fayetteville, NC.

Received for publication Oct 31, 1990; accepted Feb 20, 1990.

Reprint requests to (W.W.L.) Cape Fear Valley Medical Center, P0 Box 2000,

Fayetteville, NC 28302-2000.

PEDIATRICS (ISSN 0031 4005). Copyright © 1992 by the American

Acad-emy of Pediatrics.

allowing project development by computer

non-professionals.’#{176} Most of the computerized data

sys-tems described in the pediatric literature have been

designed so that the process of data entry and the

printing of hospital summaries are performed by

cler-ical staff, usually after the patient’s admission or

discharge. In the initial phase of our project, NeoData,

we developed such a discharge summary system,

which has been in use for more than 3#{189}years and

has successfully eliminated the need for dictation and

transcription of summaries.

We recently extended the system by adding the

capability for real-time production of daily progress

notes; this has proved to be reliable and time-efficient.

Instead of handwriting daily notes, information is

entered into a database and the computer prints the

progress note for that day. Because the system can

selectively carry data forward from the previous day’s

note, only the incremental daily changes need be

entered, thus decreasing data entry time. This allows a limited physician and neonatal nurse practitioner

(NNP) team to care for a larger number of babies

with more time at the bedside. Similarly, the system

can also generate admission summaries immediately

upon patient admission. The patient care team

mem-bers perform all data entry for the admission and

progress notes, resulting in improved accuracy and

eliminating reliance on clerical staff.

Any computerized system for handling patient data

will be less flexible than free-form, text-based systems

such as handwritten or dictated notes and summaries.

Through careful design of data fields, and by

includ-ing some free-form text entry fields, NeoData has

proved to be flexible enough to handle the majority

of patient problems encountered. In return for the

limitations of computerization, we have found

NeoData to provide a number of benefits, including

the following: (1) increased legibility; (2) consistent

terminology; (3) consistent note format; (4)

compila-tion of detailed daily patient data for analysis; (5)

improved tracking of data and of management plans;

and (6) perceived time savings.

HARDWARE

A real-time computerized system requires greater

hardware and software resources than a system in

which data entry is performed after discharge,

pri-manly because such a system must be used by more

than one person at a time. The change from a

single-user to a multiuser system requires multiple

micro-computers linked by a communication network, so

(2)

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9) fluid aspiration syndrom.

centralized data file. Recently, networking hardware

and software for IBM-compatible microcomputers has

become widely available and increasingly reliable.

Our hardware system includes three

IBM-compat-ible computers, based on 80386SX microprocessors,

which are used for data entry and are located near

the NICU. Each has an internal hard disk for software storage, a high-resolution color monitor, a dot-matrix printer, and an uninterruptible power supply

provid-ing 5 to 10 minutes of battery-powered operation in

the event of a power outage. All patient-related data files are stored on a high-speed hard disk residing on

a fourth, 80386-microprocessor-based computer (file

server) that is operated in a ‘dedicated’ fashion, used

only to serve the file-access needs of the network.

Several other computers are used by the Neonatology clerical staff for discharge data entry. A total of eight computers are currently connected by

Ethernet-com-patible Local Area Network (LAN) hardware

(ART!-SOFT, Inc. Tucson, AZ).

Our computers were purchased from mail-order

firms selected for the price-to-performance ratio of

their equipment and for their high-quality technical

support. The data entry systems were purchased for

approximately $3000 per station, including monitor,

printer, network hardware, and uninterruptible

power supply; the file server was purchased for

ap-proximately $5000. Further details of the hardware

configuration for our system are available on request.

SOFTWARE

The computers in our system use the Microsoft

Disk Operating System version 5.0 and the LANtastic

Network Operating System version 4.0 (ARTISOFT,

mc). To handle the actual entry and processing of

patient data, we use MetaForm, a database program

developed internally. A wide range of commercial

data base programs are available for IBM-compatible

computers; however, by developing our own software

we have been able, at each step of the project, to add

those features we believe are needed to best handle

patient-related medical information.

Some of the features of MetaForm that are

partic-ularly useful in developing medical data applications are (1) a rich choice of data types (number fields, text

fields, etc), allowing for very compact computer

rep-resentation of information; (2) category lists, a pow-erful data type that allows the user to select a field

entry from a list of choices (lists may be searched

quickly and easily, may be altered as needed, and

guarantee that common terminology will be used by

all staff involved in data entry); (3) multiple field

copies (any field may be defined to allow multiple

instances of itself, eliminating the need for repeated

fields that contain the same type of information; (4)

field groups, which are related fields defined to allow

single operations on the entire group at once; (5)

calculated fields, whose values are based on data in

other fields (this feature is supported by a selection of numerical, logical, and text functions used to

con-struct formulas); (6) field conditions (any field can be

assigned a formula that determines whether the field

will be active or inactive, depending on the values in

other fields); (7) a powerful document-generation

ca-pability, allowing complex decision trees to be

exe-cuted during the composition of summaries and other

printouts; (8) a search capability, which can be used

to construct matrices of conditions for extraction of

summary data; and (9) a built-in programming

lan-guage, which can be used to design customized,

menu-based software routines to simplify standard

tasks and limit the access of users to only those

features of the program they need.

The NeoData system includes two separate data

files: NOTES, containing the daily progress

informa-tion, and NEOSUM, containing admission and

dis-charge data. Daily progress notes use the NOTES file,

discharge summaries use the NEOSUM file, and

ad-mission summaries use a subset of both. The entry of

final discharge data and the printing of discharge

summaries are performed by the Neonatology

secre-tarial staff away from the NICU, typically on the day

of discharge or on the next weekday. Of 1 1 1 8 patients

admitted to and discharged from the Neonatology

service between July 1, 1988 and October 31, 1990,

only 7 (0.63%) have required dictated addenda.

The generation of admission and progress notes is

accomplished on computers located in the NICU. To

create and print a daily progress note, the NeoData

menu allows the user to update a list of current NICU

patients, generate new notes based on those of the

previous day, edit these notes, and print them.

Ad-mission notes are processed from a similar menu. In

both cases, the data are entered directly into the

computer by the NICU physician or NNP. The work

can be performed whenever the appropriate data are

available, at any time of the day or night. If necessary,

the process may be interrupted and completed later.

For the actual data entry process, the user is pre-sented with a series of 12 data screens, displaying the

250 fields (many with multiple copies) of the NOTES

data file (Figs 1 and 2). One can move quickly and

easily from screen to screen, backward or forward.

Each screen includes one or two sections comprising

related information (Table); problem-oriented

infor-mation is organized into sections roughly by organ

system. Medications, laboratory values, and

roent-NOTES

Paq#{149}4

7-T#{149}b-991 09:30,47

Fig. 1. The fourth NOTES data screen. This shows the

RESPIRA-TORY section. Note that the cursor ison the ‘Respiratory Problems’

field, which is an example of a category list field. The window in

the lower right corner displays the list for this field, which can be

scrolled up or down to find the desired entry. Since “nasal CPAP’

is entered in the ‘Support’ field, no data can be entered into the

(3)

Edot POol 414 Do..?. 1/1/91), <tic’ to SSlt

NOTES 7-Y.b-l991 09:30:47

---.-

FL010*/ELECT*OLYTES/NUTNITION I

---

--old wt. 1354qm Calculat.ons based on, Old: 1354)qm

New Vt. Il33Sq. p.r kgper day

--,

N#{149}w,Il33Nq’

Iv Fluids. D.Str/sS SA sa K Ca N*tS LtpLd Rat.(24h) 1 .0ld.5 Dj9.,,Q/5,,,,, _g _jQaEq ,j,,QeEq Ja.g S.1 cc/h

_

_g I cc/h

N.v,uy DjQ,j/5,,,,,, _g _L,QaEq .J.,,QsEq j3mg 4. 7cc/h _g cc/h Lyt.s/lOOcc. 2.CJatq 12.4IaEq 111R9

2.Old,,,,, D_/, _9 _aEq _mSq eq _cc/h

Nsw._ D_/_ _q _atq _s.Eq eq _cc/h Total Fluods, (-IV1)

3.Old._ D,,,,,,1_ _g _.eq _sZq eq _cc/h Old,IlSO)cc/kg/d1591

New._ D,,,,,,,,,/_ _9 _eEq _aSq eq_cc/h s.w.1S0Jcc/kg/d(kj

Total Caloroea old. IS6lcal/kg/d

New, (67)cal/kg/d

TABLE. Data Sections Within the NOTES Data Set

Identification Physical Exam Laboratory Data X-rays Medications Respiratory Cardiovascular Infectious Hematologic Jaundice

Apnea and Bradycardia

Neurologic

Other

fluids/Electrolytes/Nutrition

Discharge Planning

Addendum

rasds. Typ. atr.nqth Aaount Sch.dul. POut.

old, sromatur jQcal/oz jQ,Qcc a3h

,.

New. Dromatur#{149} j5cal/oz j,,Qcc a3h 55,.,,...

OG/Po luppl. Aaount $ch.dul. Total Intaks Sad, old, _aEq q_hr (2.3mZq/kq/d

N.,,. _.zq q_hr 12.klaEqIkq/d

rd. Old, _agq q_hr l.6)!q/kg/d

5S5 _.Eq q,,hr 3.OIaSqIkg/d

Paqa 10

Fig. 2. The 10th NOTES data screen. This shows the FLUIDS/

ELECTROLYTES/NUTRITION section. Underlined areas represent

the actual data entry fields, while brackets enclose calculated fields.

Calculated fields are used heavily in this screen to help with writing

intravenous fluid orders and to calculate total daily calories and

sodium/potassium intake.

genographic results are entered into their respective

dedicated sections. All subsequent sections include

fields for problems or diagnoses, fields for

manage-ment plans, and in most cases, a free-form field into

which textual information may be entered.

Data screens also include calculated fields, partic-ularly in the Fluids/Electrolytes/Nutrition section. Here, fluid infusion rates, fluid intakes, and caloric intakes are automatically displayed based on desired intravenous fluid constituents and feeding regimens.

These may be used to assist in the writing of fluid

orders and many are included in the printed progress note (Fig 2).

COMPUTER-GENERATED NOTES AND

SUMMARIES

Once a patient’s information for the current day is

completely updated in the computer, the progress

note is printed, signed, and placed directly on the

patient’s chart by the NNP or physician.

Continuous-feed paper is used which has been commercially

printed to duplicate the appearance of our hospital’s

standard progress sheets. Figure 3 shows an example

of a printed progress note.

Maintaining the integrity of the information in a

legal patient chart is always important. Since it is very

difficult to ensure that computerized data has not

been altered subsequent to its creation, we make no

attempt to do so in the NeoData system. The printed

note, and not the electronically stored data,

consti-tutes the legal patient record for a given day.

Correc-tions, when needed, are made to the printed note and

initialed, just as if the note had been handwritten. NeoData does not attempt to replace the paper record in any sense, legal or otherwise; it simply provides an alternative means of generating that record.

When the progress note system was implemented,

the NNP and physician staff became functional users

within several days; full proficiency was attained by

each user within 2 to 4 weeks. The system has been

successful, as measured by its rapid and continued

acceptance by the medical team members. From the

onset, one goal of the NeoData project has been to

decrease the time required to generate progress notes and to allow the available staff to care for increasing

numbers of babies. We have found that it takes from

3 to 10 minutes to select a patient in the computer

file, update the information for the day, print and

sign the note, and place it on the chart. We recently

timed the process for 1 8 typical patients; the mean

time required by an experienced person to perform

the above sequence was 5.2 ± 0.7 minutes.

We have also examined our census for two 4-month

periods a year apart, one before the system was

implemented and one after. While the mean daily

NICU census increased from 23.6 to 24.7, our NNP

staff decreased from 6.67 to 5.33 full-time

equiva-lents. Nonetheless, under the new system the

prog-ress notes are consistently being completed earlier in

the day.

In addition to the generation of progress notes and

summaries, the NeoData files are used for several

other data-processing tasks. Daily progress note

in-formation, updated during the night, is used to print

a detailed report sheet for morning rounds. This

elim-mates the recitation of numerous clinical data to the

staff coming on duty and allows rounds to focus on

patient assessment and management plans. After

dis-charge, a simple program extracts summary

infor-mation from a patient’s daily notes which simplifies

final data entry for the discharge summary. Brief

weekly patient reports are produced which are sent

to referring physicians and insurance companies as

needed. Finally, the accumulated data sets are used

for regular and efficient production of morbidity and

mortality reports and for other data searches.

DISCUSSION

In most hospitals, computer technology has had a

smaller impact on the day-to-day activities of the

medical staff than on those of clerical, administrative, and nursing staff. Clerical, laboratory, medication,

and nursing flow-sheet data tend to be objective in

nature and are usually numerical or categorical.

Med-ical staff, on the other hand, deal with a wide range of objective and subjective information. It may be the

large amounts and diverse types of data, and above

all the subjectivity of some of the information, which

have made it more difficult to apply computerized

(4)

DOE .FE PROGRESS NOTE 12/29/90 1234567

12/29/90 Day 2. Weight 1483 quo (down 60gm).

1528hri PHYSICAL EXAM:

Temp stable. Vital signs stable. Blood pressure stable. Urine output good

(2.8cc/kg/hr). Pink and quiet. Anterior fontarlelle soft S flat. Respiratory

effort minimally increased. Breath sounds equal and diffuse crackles; air

exchange good. Cardiac: normal sinus rhythm and normal pulses. No murmur heard.

Perfusion good. Abdomen: soft and full. Neuro: responsive.

I,MOR,ATORY STUDIES:

12/29/90 6 0500: Hct:46 WBc:15.6K Plat:269K 57S 8B 26L 9M

12/29/90 0500: Na:143 1C:4.2 Cl:107 C02:23 BUN: 4 cr:l.4 Ca: 8.4

12/29/90 8 0500: Bili: 5.3/0.1

Chemstrips 80-l2Omg%.

XRAYS:

CXR on 12/28/90: mild reticulogranularity and normal heart size.

MEDICATIONS:

Curr#{149}nt medications: ainpicillin 105mg IV ql2h (day 1) and gentamicin 2.6mg IV

qleh (day 1).

RESPIRATORY:

PROBLIS: Mid EDS

SUPPORT: nasal CPA (since 12/28/90); Fi02:42% PEEP:5

CBG 12/29/90 5 0111: pN:7.31 pCO2: 51 p02: 48

The plan is to support as indicated.

INFECTIOUS:

PIO$L1$: possible sepsis

DRUG LEVELS: 12/28/90: 18 hr gentamicin: 1.0

CULTURES: 12/28/90: blood: negative

The plan is to continue ampicillin B gentamicin.

HEMATOLOGIC:

Tb. last hematocrit was 46 on 12/29/90. The plan is to follow hematocrits.

JAUNDICE:

PROILS$: at risk for jaundice

The patient is currently not under phototherapy. The last bilirubin level was

5.3/0.1 on 12/29/90 6 0500. The baby’s blood type is A poe. The direct Cooinbs is

negative. The plan is to follow clinically and follow bilirubin levels.

NEUROLOGIC:

PROILDIS: at risk for lvi

The plan is to obtain a cranial ultrasound for rule out IVH on 12/31/90.

FLUIDS/ELECTROLYTES/NUTRITION:

CURRENT FLUIDS: All additives are per kg per day; Ca is elemental calcium.

Ply: D10.0/W, Na 2.OmEq, K l.OmEq, Ca 15mg.

Total fluids: 80cc/kg/day. Total calories: 32kcal/kg/day.

NEW FLUIDS: All additives are per kg per day; Ca is elemental calcium.

Ply: D10.0/W, Na 1.OmEq, K 1.OmEq, Ca 25mg.

Total fluids: 120cc/kg/day. Total calories: 48cal/kg/day. The plan is to follow electrolytes.

DISCHARGE PLANNING:

The babys follow-up care after discharge will be with Womack Peds Clinic. The

baby meets criteria for hearing screening.

Fig. 3. The printed progress note. Although most sections allow several lines of free text entry, no such fields were used in this case.

There are several reasons why computerization of

discharge summaries has been, for many NICUs, the

first step in this process. First, the process can operate

‘off-line,’ in that data entry is often performed by

clerical personnel and can be done any time after

discharge; actual patient management is not

depend-ent on the immediate completion of the

computer-related task. Second, the medical staff is freed from the unpopular job of dictating summaries, providing

a very large ‘carrot’ which increases the chance for

success of the project. Third, the department also

benefits from a database containing information

about every patient discharged which is available for

later analysis.

We have extended this concept to what we believe

is the next logical stage: computerization of the

proc-ess of writing daily progress notes. A primary

moti-vation was the need to increase the productivity of

our medical team, which in our institution is

com-posed of attending neonatologists and NNPs. Our

institution elected to commit the necessary resources

to the NeoData project in order to reduce the time

the team spends writing notes, while not sacrificing the quality of our detailed, problem-oriented medical documentation.

A characteristic of patient-related medical

infor-mation that complicates its representation in comput-erized form is its high degree of internal structure.

For instance, one may wish to allow for multiple

entries of the same field (eg, diagnoses); these field

entries need to be tightly organized on the screen. In some cases, several fields are logically connected (eg,

pH, PC02, and P02); often, one would like to allow

for multiple entries of this entire group (eg, multiple

sets of blood gas entries). Whether a given field

should have data entered into it at all may depend

on the state of another field (eg, intermittent

man-datory ventilation data need to be entered only if a

patient is supported by a ventilator); in many

situa-tions, entire data sections may need to be skipped in

this manner. Whenever possible, we have designed

MetaForm so that data sets could be organized with

these structures in mind, resulting in a much closer

representation of actual patient information.

A previously identified problem with hospital

com-puterized data systems is that of maintaining the

commitment of the primary users to the system.’3 It

was clear at the outset that our software had to be

easy to learn and had to allow efficient data entry

(5)

primary users of the system found that it directly benefited them in their daily patient care duties. The efficient user interface, the features that introduce layers of structure into the data set, and the ability to easily handle large category lists are the core proper-ties that have made our software effective.

Reliability has been a particularly critical issue for

those computerized patient data systems that have

entirely replaced a previous paper-based approach. If

the system was ‘down’ for any significant amount of

time, patient care was affected. Our system does not

replace any component of the paper-based chart;

NeoData is simply another, more efficient way to

generate paper summaries and notes. Our ultimate

protection from system malfunction is that we can

always write notes by hand.

Nonetheless, every effort has been made to

maxi-mize the reliability of the hardware and software.

Since the system was fully implemented, we have

had very few problems that could not be solved

rapidly; one half of the network was inoperative for

several hours on one occasion, and no software

prob-lem significant enough to delay the note-writing proc-ess has occurred to date. Certainly the effort involved

in managing even a modest system such as ours is

significant, and the value of having at least one person

with a strong interest in microcomputers cannot be

overemphasized. The major commitment, however,

was in developing and debugging the system; we

estimate that more than 2000 hours were expended

by one of us (W.W.L.) to program MetaForm, and

another 100 to 200 hours to design the NEOSUM and

NOTES data sets. Maintaining the system once in

place, including backing up data files, requires only

approximately 2 to 4 hours per week.

CONCLUSIONS

We have described a system for the computer

gen-eration of progress notes which is currently in use in

a busy NICU. Computerization of daily progress notes

has had several benefits, aside from the primary goal

of time savings for the medical team. Legibility is

significantly increased, the layout of the notes has

become standardized, and terminology is more

con-sistent. These improvements have already drawn the

notice and comments of the nursing staff and the

hospital utilization review personnel. The data

screens remind the user to update laboratory values,

medication lists, problem lists, and management

plans; this results in fewer omissions. The system

automatically calculates various fluid and electrolyte

quantities, reducing errors associated with manual

calculations. Finally, the resulting detailed databases facilitate utilization review and quality-assurance monitoring.

The development of the NeoData system has been

a thought-provoking experience; it has given us an

increased appreciation of the efficiency of

paper-based data systems for the day-to-day operations of

patient care. We have tried to design NeoData to

simulate, whenever possible, the use of paper forms,

while invoking the specific capabilities of the

com-puter to add functions that are simply not otherwise available. The goal of the NeoData project has been,

from the outset, to meet the specific needs of the

medical team and to facilitate the delivery of patient

care. The project has successfully achieved these

ob-jectives and has demonstrated the feasibility of com-putenzed progress note generation.

ACKNOWLEDGMENTS

We acknowledge the helpful assistance, advice, and hard work

of the NNP staff and Neonatology secretaries. We also appreciate the financial and technical support of the Cape Fear Valley Medical

Center.

REFERENCES

1. Wilson FE, Yu VYH, Hawgood S. Adamson TM, Wilkinson MH.

Corn-puterized nutritional data management in neonatal intensive care. Arch Dis Child. 1983;58:732-736

2. Adams C. Computer-generated medication administration records. Nurs

Manage. 1989;20:22-23

3. Olsson CL. A data base system for pediatric intensive care. mt IClin Monit Comput. 1984;1:73-80

4. Hamilton E, Brohan J. A versatile, comprehensive, and rapid analysis method for a perinatal database. IPerinat Med. 1987;15(suppl 1):138

5. Nakahara H, Koyanagi T, Teraoka H, Shimokawa H, Hara K, Nakano H. Microcomputer-based local area network for controlling information

on perinatal medicine. mt JBiomed Comput. 1987;21:83-93

6. Janik DS, Swamer OW, Henriksen KM, Wyman ML. A computerized

single entry system for recording and reporting data on high-risk

new-born infants. IPediatr. 1978;93:519-523

7. Janik DS, Swarner OW, Henriksen KM. Wyman ML. Computerized

newborn intensive care data recording and reporting, II: a practical microcomputer system. I Pediatr. 1979;94:328-330

8. Janik OS, Sharp EM, Forbush L Wyman ML, Jung AL. Computerized

newborn intensive care data recording, reporting, and research, III: an online system. I Pediatr. 1980;97:497-501

9. Maresh M, Beard RW, Combe D, et al. Selection of an obstetric data base for a microcomputer and its use for on-line production of birth notification forms, discharge summaries, and perinatal audit. BrIObstet Gynaecol. 1983;90:227-231

10. Finer NN, Fraser AJ. Neonatal data base and automated discharge

summary using a personal computer and proprietary software. Pediatrics.

1985;76:269-273

I 1. Poland RL, Bollinger RO, Cummings GE. Implementation of a statewide perinatal automated medical network (PAM/NET) for Michigan. Am I Perinatol. 1986;3:144-146

12. Frayer WW. Patient data management in neonatal intensive care. Clin Perinatol. 1980;7:145-154

13. Avila LS, Shabot MM. Keys to successful implementation of an ICU

patient data management system. mt / Clin Monit Comput. 1988;5:15-25

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1992;89;62

Pediatrics

William W. Lowe, Thomas A. Ciszek and Keith J. Gallaher

Real-Time, Computer-Generated Daily Progress Notes

Comprehensive Computerized Neonatal Intensive Care Unit Data System Including

Services

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1992;89;62

Pediatrics

William W. Lowe, Thomas A. Ciszek and Keith J. Gallaher

Real-Time, Computer-Generated Daily Progress Notes

Comprehensive Computerized Neonatal Intensive Care Unit Data System Including

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Fig. 3. Theprintedprogressnote.Althoughmostsectionsallowseverallinesof freetextentry,nosuchfieldswereusedin thiscase.

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