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Journal articles on the topic 'Patient records'

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Author: Grafiati

Published: 4 June 2021

Last updated: 28 January 2023

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1

B N, Beena Ullala Mata, Rameshwara G N, Naveen Kumar G, and Raghavendra B. "Effects of Computerized Patient Records on Patients." Bonfring International Journal of Man Machine Interface 3, no. 3 (July 31, 2015): 25–29. http://dx.doi.org/10.9756/bijmmi.8068.

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2

Knaup, P. "Section 2: Patient Records: Electronic Patient Records and their Benefit for Patient Care." Yearbook of Medical Informatics 15, no. 01 (August 2006): 40–42. http://dx.doi.org/10.1055/s-0038-1638475.

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SummaryTo summarize current excellent research in the field of patient records.Synopsis of the articles selected for the IMIA Yearbook 2006.Current research in the field of patient records analyses users’ needs and attitudes as well as the potential and limitations of electronic patient record systems. Particular topics are the questions physicians have when assessing patients during ward rounds, the timeliness of results when ordered electronically, the quality of documenting haemophilia home therapy, attitudes towards patient access to health records and adequate strategies for record linkage in dependence on the intended purpose.The best paper selection of articles on patient records shows examples of excellent research on methods used for the management of patient records and for processing their content as well as assessing the potential, limitations of and user attitudes towards electronic patient record systems. Computerized patient records are mature, so that they can contribute to high quality patient care and efficient patient management.

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3

Cockerell, Tom. "PATIENT RECORDS." Journal of the American Dental Association 140, no. 4 (April 2009): 402–3. http://dx.doi.org/10.14219/jada.archive.2009.0181.

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4

Ashton, Norman. "Patient records." Lancet 345, no. 8953 (April 1995): 861. http://dx.doi.org/10.1016/s0140-6736(95)92997-5.

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5

Potter, H. Phelps. "Computerizing Patient Records." Annals of Internal Medicine 116, no. 11 (June 1, 1992): 959. http://dx.doi.org/10.7326/0003-4819-116-11-959_1.

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6

King, Alison B. "Safeguarding patient records." Nutrition 12, no. 10 (October 1996): 726–27. http://dx.doi.org/10.1016/s0899-9007(96)00219-5.

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7

Munday, Dave. "Electronic patient records." Nursing Management 16, no. 7 (October 26, 2009): 8. http://dx.doi.org/10.7748/nm.16.7.8.s12.

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8

Laugharne, Richard, and Claire Henderson. "Medical records: Patient-held records in mental health." Psychiatric Bulletin 28, no. 2 (February 2004): 51–52. http://dx.doi.org/10.1192/pb.28.2.51.

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‘But don't they get lost?’ This is usually the first comment made when the authors mention the use of patient-held records (PHRs) to colleagues. Nevertheless, PHRs have been used in mental health care as well as several other settings, including services for diabetes, cancer, maternity and child health. In some of these services, including mental health, PHRs have been an addition to clinician held standard notes, whereas in others the patient holds the only record for their care. The main purposes of introducing PHRs have been to empower patients with a sense of ownership of their care and to improve communication, between both patients and clinicians, as well as between different clinicians involved in that person's care (Laugharne & Stafford, 1996).

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Knaup, P., D. Schmidt, and M. W. M. Jaspers. "Section 2: Patient Records: The Computerized Patient Record: Where Do We Stand?" Yearbook of Medical Informatics 15, no. 01 (August 2006): 29–39. http://dx.doi.org/10.1055/s-0038-1638464.

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SummaryTo provide an overview of trends in research, developments and implementations of the computerized patient record (CPR) of the last two years.We surveyed the medical informatics literature, spanning the years 2004-2005, focusing on publications on CPRs.The main trends revealed were: 1) the development of technologies to realize privacy and security goals or remote data entry and access to CPRs; 2) investigations into how to enhance the quality and reuse of CPR data; 3) the development and evaluation of decision support functions to be integrated with CPRs; 4) evaluations of the impact of CPRs on clinicians, patients, clinical work settings and patient outcomes; and 5) the further development and use of standards to move towards shared electronic health records (EHRs).The CPR is playing a growing part in medical informatics research and evaluation studies, but the goal of establishing a comprehensive lifelong EHR is still a long way off. In moving forward to EHRs, convergence of EHR standards seems required to realize true interoperability of health care applications. User acceptance of present-day CPRs (for all categories of users) and compatibility with work patterns has not been achieved yet, and can only be realized by giving these goals high priority. This will require substantial resources for in-depth work flow analysis, development and evaluation of CPRs. Besides this, the implementation of effective CPRs asks for health care organizations that are willing to invest in new developments and to contribute to evaluation studies, to further improve CPRs’ functionalities and enhance their use in practice.Haux R, Kulikowski C, editors. IMIA Yearbook of Medical Informatics 2006.

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10

Kilsdonk, Anton C. M., and Albert van der Werff. "Structuring the patient record: NUCLEUS (customisation environment for multimedia integrated patient records)." Computer Methods and Programs in Biomedicine 45, no. 1-2 (October 1994): 127–30. http://dx.doi.org/10.1016/0169-2607(94)90032-9.

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11

Samsir and Syaiful Zuhri Harahap. "Application Design Resume Medical By Using Microsoft Visual Basic.Net 2010 At The Health Center Appointments." International Journal of Science, Technology & Management 1, no. 1 (May 27, 2020): 14–20. http://dx.doi.org/10.46729/ijstm.v1i1.5.

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In implementing health services, puskesmas must document all actions and treatments that are given to patients in a document called Medical Records. According to Minister of Health Regulation No.269 / MENKES / PER / III / 2008 article 1 (1), medical records are files containing notes and documents about patient identities. Medical records are of good quality if the medical record is accurate, complete, trustworthy, valid and timely. One form of management in Medical Records is reporting. According to Minister of Health Regulation No.269 / MENKES / PER / III / 2008 article 1 (1), Medical Record is a file that contains notes and documents about patient identity, examinations, actions, and other services that have been given to patients. In the statement, all information about a patient has been reflected which will be made the basis for determining further actions in services and other medical actions given to a patient who comes to the community health center. The Medical Record is said to be of high quality if the Medical Record is accurate, complete, trustworthy, valid and timely. The Medical Record Installation has activities such as registration, data processing, and storage. One form of processing data in medical records is the existence of assembling activities. Assembling is an assembling activity compiling empty Medical Record forms and storing them into Medical Records, ready to use neatly arranged both in terms of quality and quality.

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12

Zolot, Joan Solomon. "Computer-Based Patient Records." American Journal of Nursing 99, no. 12 (December 1999): 64. http://dx.doi.org/10.2307/3521998.

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13

Hayward, Kate. "Patient-held oncology records." Nursing Standard 12, no. 35 (May 20, 1998): 44–46. http://dx.doi.org/10.7748/ns.12.35.44.s48.

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14

Shortliffe, Edward H. "Patient Records and Computers." Annals of Internal Medicine 115, no. 12 (December 15, 1991): 979. http://dx.doi.org/10.7326/0003-4819-115-12-979.

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15

Thyvalikakath, Thankam P., and Titus Schleyer. "PATIENT RECORDS: Authors' response." Journal of the American Dental Association 140, no. 4 (April 2009): 403–4. http://dx.doi.org/10.14219/jada.archive.2009.0182.

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16

Doyal, L. "Data from patient records." British Dental Journal 178, no. 12 (June 1995): 448. http://dx.doi.org/10.1038/sj.bdj.4808798.

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17

Zolot, Joan Solomon. "Computer-Based Patient Records." AJN, American Journal of Nursing 99, no. 12 (December 1999): 64. http://dx.doi.org/10.1097/00000446-199912000-00047.

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18

Frisse, M. E., J. L. Schnase, and E. S. Metcalfe. "Models for patient records." Academic Medicine 69, no. 7 (July 1994): 546–50. http://dx.doi.org/10.1097/00001888-199407000-00005.

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19

COELHO, LINA. "Confidentiality of patient records." Health Libraries Review 15, no. 4 (December 1998): 282–84. http://dx.doi.org/10.1046/j.1365-2532.1998.15402793.x.

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20

Plunkett, Lance R. "Ownership of Patient Records." Optometry - Journal of the American Optometric Association 75, no. 7 (July 2004): 457–59. http://dx.doi.org/10.1016/s1529-1839(04)70161-x.

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21

SKOLNIK, NEIL, and CHRISTOPHER NOTTE. "Portable Patient Health Records." Internal Medicine News 42, no. 21 (December 2009): 82–83. http://dx.doi.org/10.1016/s1097-8690(09)70919-9.

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22

Overhage, J. "Computer-Based Patient Records." Yearbook of Medical Informatics 06, no. 01 (August 1997): 183–85. http://dx.doi.org/10.1055/s-0038-1637870.

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23

Kohane, I. S. "Computer-based Patient Records." Yearbook of Medical Informatics 07, no. 01 (August 1998): 227–29. http://dx.doi.org/10.1055/s-0038-1637896.

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24

Moorman, P. W. "Computer-Based Patient Records." Yearbook of Medical Informatics 08, no. 01 (August 1999): 351–53. http://dx.doi.org/10.1055/s-0038-1637931.

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25

van Ginneken, A. M. "Computer-Based Patient Records." Yearbook of Medical Informatics 03, no. 01 (August 1994): 173–75. http://dx.doi.org/10.1055/s-0038-1638005.

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26

Borst, F. "Computer-Based Patient Records." Yearbook of Medical Informatics 04, no. 01 (August 1995): 191–94. http://dx.doi.org/10.1055/s-0038-1638031.

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27

Rector, A. L. "Computer-based Patient Records." Yearbook of Medical Informatics 05, no. 01 (August 1996): 195–98. http://dx.doi.org/10.1055/s-0038-1638058.

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28

Wigertz, Ove B. "Computer-based Patient Records." Yearbook of Medical Informatics 10, no. 01 (August 2001): 259–62. http://dx.doi.org/10.1055/s-0038-1638111.

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29

Russo, Paul, and Mary Ann Goodman. "Implementing Computerized Patient Records." Journal of the American Dietetic Association 97, no. 10 (October 1997): 1104. http://dx.doi.org/10.1016/s0002-8223(97)00269-1.

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30

SKOLNIK, NEIL, and CHRISTOPHER NOTTE. "Portable Patient Health Records." Family Practice News 39, no. 21 (December 2009): 84–85. http://dx.doi.org/10.1016/s0300-7073(10)70249-8.

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31

Rostom, A. Y., and A. R. Gershuny. "Access to patient records." Lancet 338, no. 8778 (November 1991): 1337–38. http://dx.doi.org/10.1016/0140-6736(91)92642-f.

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32

Talley, C. Richard. "Confidentiality of patient records." American Journal of Health-System Pharmacy 55, no. 9 (May 1, 1998): 895. http://dx.doi.org/10.1093/ajhp/55.9.895.

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33

Thornquist, Eline. "Patient records – Physiotherapists’ contributions." Advances in Physiotherapy 10, no. 1 (January 2008): 31–40. http://dx.doi.org/10.1080/14038190701554251.

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34

Norden, AL, GJO Marincowitz, and GS Fehrsen. "Patients' thoughts on patient-retained medical records." South African Family Practice 46, no. 7 (August 2004): 30–33. http://dx.doi.org/10.1080/20786204.2004.10873111.

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35

Christensen, Dale B., Barbara Williams, Harold I. Goldberg, Diane P. Martin, Ruth Engelberg, and James P. LoGerfo. "Comparison of Prescription and Medical Records in Reflecting Patient Antihypertensive Drug Therapy." Annals of Pharmacotherapy 28, no. 1 (January 1994): 99–104. http://dx.doi.org/10.1177/106002809402800119.

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OBJECTIVE: To determine the completeness of prescription records, and the extent to which they agreed with medical record drug entries for antihypertensive medications. SETTING: Three clinics affiliated with two staff model health maintenance organizations (HMOs). PARTICIPANTS: Randomly selected HMO enrollees (n=982) with diagnosed hypertension. METHODS: Computer-based prescription records for antihypertensive medications were reviewed at each location using an algorithm to convert the directions-for-use codes into an amount to be consumed per day (prescribed daily dosage). The medical record was analyzed similarly for the presence of drug notations and directions for use. RESULTS: There was a high level of agreement between the medical record and prescription file with respect to identifying the drug prescribed by drug name. Between 5 and 14 percent of medical record drug entries did not have corresponding prescription records, probably reflecting patient decisions not to have prescriptions filled at HMO-affiliated pharmacies or at all. Further, 5–8 percent of dispensed prescription records did not have corresponding medical record drug entry notations, probably reflecting incomplete recording of drug information on the medical record. The percentage of agreement of medical records on dosage ranged from 68 to 70 percent across two sites. Approximately 14 percent of drug records at one location and 21 percent of records at the other had nonmatching dosage information, probably reflecting dosage changes noted on the medical record but not reflected on pharmacy records. CONCLUSIONS: In the sites studied, dispensed prescription records reasonably reflect chart drug entries for drug name, but not necessarily dosage.

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36

Gozali, Elahe, Marjan Ghazisaiedi, Malihe Sadeghi, and Reza Safdari. "Improvement of patient safety through implementation of electronic medical records." Medical Technologies Journal 1, no. 4 (November 29, 2017): 111–12. http://dx.doi.org/10.26415/2572-004x-vol1iss4p111-112.

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Introduction: Today, with the complexity of the process of conducting activities, the increase in diversity and the number of hospital services, and the increase in the expectations of clients - consistent with the fast technological advances - most of the hospitals in Iran have turned to mechanized systems to organize their daily activities and to register the patients' information and the care provided. One of these technologies is electronic medical records, which is known as a valuable system to evaluate patients' information in hospitals. The purpose of this paper was to examine the advantages of running electronic medical records in patient safety. Methods: This study is a review paper based on a structured review of papers published in the Google Scholar, SID, Magiran, Pubmed, and Science Direct databases (from 2007 to 2015) and the books on the benefits of implementing electronic medical records in patient safety and the related keywords. Results: Clinical information systems can have a significant effect on the quality of the outputs and patient safety. Various studies have indicated that the physicians with access to clinical guidelines and features such as computer reminders, doctors who did not have these features, presented more appropriate preventive care. Studies show that electronic medical records play a crucial role in improving the quality of patient health and safety services. Moreover, electronic medical record system is usually in connection with other technological tools: electronic drug management records, electronic record of time and date of drug management are usually associated with bar code technology. Among the benefits of this system is the possibility to record clinical care by the treatment team, which would be especially beneficial for patient's bedside record. If the treatment personnel forgets to ask the patient a particular question, system reminds him/her. Furthermore, electronic medical record is able to remind the nurses of the patient's allergic reactions and medical history without the need for the patient to remind, which improves patient safety. Conclusion: Implementation of electronic medical records boosts up the quality of health services, patient safety, people's access to health care services, and the speed of patients treatment, leading to lower healthcare costs. Thus, considering the benefits mentioned and some other benefits of this kind, one can use this technology in clinical care provided to patients to come up with a safe and effective clinical care.

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Murphy, Cynthia A., Kelly Merriman, Cindy Zabka, Marcella Penick, and Precy Villamayor. "Patient-Entered Electronic Healthcare Records With Electronic Medical Record Integration." CIN: Computers, Informatics, Nursing 26, no. 5 (September 2008): 302. http://dx.doi.org/10.1097/01.ncn.0000304828.47262.6c.

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Kontio, Elina, Antti Airola, Tapio Pahikkala, Heljä Lundgren-Laine, Kristiina Junttila, Heikki Korvenranta, Tapio Salakoski, and Sanna Salanterä. "Predicting patient acuity from electronic patient records." Journal of Biomedical Informatics 51 (October 2014): 35–40. http://dx.doi.org/10.1016/j.jbi.2014.04.001.

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39

Q.H., Hasan, Ali A. Yassin, and Oğuz ATA. "Electronic Health Records System Using Blockchain Technology." Webology 18, SI05 (October 30, 2021): 580–93. http://dx.doi.org/10.14704/web/v18si05/web18248.

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Blockchain technology is one of the most important and disruptive technologies in the world. Nowadays the healthcare center needs to share patient databases over all departments of the healthcare centers. Although, electronic healthcare records overcome several problems compared with manual records, but still suffer from many issues such as security, the privacy of patient data overall as we should transfer over a database from a central database to a decentralized database. In this paper, we proposed a good security system to manage the data of patients based on blockchain technology and a decentralized database. Depending on decentralized database and blockchain. Our proposed system provides the secure exchange of patient data, reliability, and high efficiency in sharing data during transaction data network equivalence checking to perform this validation of patient information in the blockchain and healthcare centers.

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40

Astrid, M. "The Structure of Data in Medical Records." Yearbook of Medical Informatics 04, no. 01 (August 1995): 61–70. http://dx.doi.org/10.1055/s-0038-1638021.

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Abstract:With the growing complexity of health care, patient data are more and more in demand for purposes such as research, education, postmarketing surveillance, quality assessment, and outcome analysis. Many of these purposes require patient data to be available in a structured, electronic format. Despite the rapid advances in computer technology, which allow patient data to be organized, analyzed, and shared, the majority of physicians still use paper medical records. Apparently, most physicians still perceive the paper record as being more suitable for their task than present day computerized versions. Both the shortcomings and the strengths of paper medical records have been identified and it proves difficult to design a computerized medical record that exploits the strengths of computers without loosing the advantages of the paper chart. The structure of patient data is an area of high interest, since structure determines how physicians, other health care workers, and patients may benefit from these data. An overview of research efforts in structuring patient data will offer insight in the problems that still impede a widespread use of the computerized patient record in clinical practice.

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41

Aquino, M., J. M. Raboud, A. McGeer, K. Green, R. Chow, P. Dimoulas, M. Loeb, and D. Scales. "Accuracy of Healthcare Worker Recall and Medical Record Review for Identifying Infectious Exposures to Hospitalized Patients." Infection Control & Hospital Epidemiology 27, no. 7 (July 2006): 722–28. http://dx.doi.org/10.1086/504355.

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Objective.To determine the validity of using healthcare worker (HCW) recall of patient interactions and medical record review for contact tracing in a critical care setting.Design.Trained observers recorded the interactions of nurses, respiratory therapists, and service assistants with study patients in a medical-surgical intensive care unit. These observers' records were used as the reference standard to test the criterion validity of using HCW recall data or medical record review data to identify exposure characteristics. We assessed the effects of previous quarantine of the HCW (because of possible exposure) and the availability of patients' medical records for use as memory aids on the accuracy of HCW recall.Setting.A 10-bed medical-surgical intensive care unit at Mount Sinai Hospital in Toronto, Ontario.Patients.Thirty-six HCWs observed caring for 16 patients, for a total of 55 healthcare worker shifts.Results.Recall accuracy was better among HCWs who were provided with patient medical records as memory aids (P<.01). However, HCWs tended to overestimate exposures when they used patient medical records as memory aids. For 6 of 26 procedures or care activities, this tendency to overestimate was statistically significant (P<.05). Most HCWs with true exposures were identified by means of this technique, despite the overestimations. Documentation of the activities of the 4 service assistants could not be found in any of the patients' medical records. Similarly, the interactions between 6 (19%) of 32 other patient–HCW pairs were not recorded in patients' medical records.Conclusions.Data collected from follow-up interviews with HCWs in which they are provided with patient medical records as memory aids should be adequate for contact tracing and for determining exposure histories. Neither follow-up interviews nor medical record review alone provide sufficient data for these purposes.

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42

Seymour, Tom, Dean Frantsvog, and Tod Graeber. "Electronic Health Records (EHR)." American Journal of Health Sciences (AJHS) 3, no. 3 (July 13, 2012): 201–10. http://dx.doi.org/10.19030/ajhs.v3i3.7139.

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Electronic Health Records are electronic versions of patients’ healthcare records. An electronic health record gathers, creates, and stores the health record electronically. The electronic health record has been slow to be adopted by healthcare providers. The federal government has recently passed legislation requiring the use of electronic records or face monetary penalties. The electronic health record will improve clinical documentation, quality, healthcare utilization tracking, billing and coding, and make health records portable. The core components of an electronic health record include administrative functions, computerized physician order entry, lab systems, radiology systems, pharmacy systems, and clinical documentation. HL7 is the standard communication protocol technology that an electronic health record utilizes. Implementation of software, hardware, and IT networks are important for a successful electronic health record project. The benefits of an electronic health record include a gain in healthcare efficiencies, large gains in quality and safety, and lower healthcare costs for consumers. Electronic health record challenges include costly software packages, system security, patient confidentiality, and unknown future government regulations. Future technologies for electronic health records include bar coding, radio-frequency identification, and speech recognition.

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43

Chang Chien, Jia-Ren. "A HANDHELD ELECTRONIC PATIENT RECORD USING A NEW UML COMPONENT-BASED ARCHITECTURE." Biomedical Engineering: Applications, Basis and Communications 22, no. 06 (December 2010): 437–51. http://dx.doi.org/10.4015/s1016237210002286.

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With the emergence of the electronic patient record, the scene of stacks of patient records, common in hospitals and clinics, will become eradicated. Computerized patient records can facilitate patients' queries and requests for diagnosis. Personal patient records entailing prior hospital or clinic visits can be readily retrieved through contemporary storage devices (such as integrated circuit card, radio-frequency identification, etc.) thereby enabling physicians to efficiently determine a patient's past medical history in order to accurately assess his/her medical condition. The gradual development of the electronic patient record with direct connection to the hospital will enable physicians to use a handheld electronic patient record platform for queries and study as well as to diagnose a patient's condition, even while making out-of-town visits. This not only can serve patients located at remote areas, but also lessen the difficulties experienced in out-of-town diagnosis and treatment. While focusing on the methods for designing a handheld electronic patient record, this thesis applies unified modeling language (UML) to describe the acquired functions of such a platform; in essence, it applies the characteristics of UML to provide the designer with clarified understanding for the architecture as well as the operational movements. Through this approach, a highly reliable product could be designed in the shortest period of time.

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44

Wass, Sofie, Vivian Vimarlund, and Axel Ros. "Exploring patients’ perceptions of accessing electronic health records: Innovation in healthcare." Health Informatics Journal 25, no. 1 (April 30, 2017): 203–15. http://dx.doi.org/10.1177/1460458217704258.

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The more widespread implementation of electronic health records has led to new ways of providing access to healthcare information, allowing patients to view their medical notes, test results, medicines and so on. In this article, we explore how patients perceive the possibility to access their electronic health record online and whether this influences patient involvement. The study includes interviews with nine patients and a survey answered by 56 patients. Our results show that patients perceive healthcare information to be more accessible and that electronic health record accessibility improves recall, understanding and patient involvement. However, to achieve the goal of involving patients as active decision-makers in their own treatment, electronic health records need to be fully available and test results, referrals and information on drug interactions need to be offered. As patient access to electronic health records spreads, it is important to gain a deeper understanding of how documentation practices can be changed to serve healthcare professionals and patients.

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45

Parrott, J., G. Strathdee, and P. Brown. "Patient access to Psychiatric Records: The Patients’ View." Journal of the Royal Society of Medicine 81, no. 9 (September 1988): 520–22. http://dx.doi.org/10.1177/014107688808100908.

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The passing of legislation relating to subject access to personal health data has been accompanied by concern about the possible harmful effects of this development on patients. Despite the lack of substantive evidence psychiatric patients have been regarded as the group most at risk. This study investigates the subjective views of patients on access to records on two psychiatric wards.

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46

Weerasinghe, D., K. Elmufti, V. Rakocevic, and M. Rajarajan. "Patient Privacy Protection Using Anonymous Access Control Techniques." Methods of Information in Medicine 47, no. 03 (2008): 235–40. http://dx.doi.org/10.3414/me9116.

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Summary Objective: The objective of this study is to develop a solution to preserve security and privacy in a healthcare environment where health-sensitive information will be accessed by many parties and stored in various distributed databases. The solution should maintain anonymous medical records and it should be able to link anonymous medical information in distributed databases into a single patient medical record with the patient identity. Methods: In this paper we present a protocol that can be used to authenticate and authorize patients to healthcare services without providing the patient identification. Healthcare service can identify the patient using separate temporary identities in each identification session and medical records are linked to these temporary identities. Temporary identities can be used to enable record linkage and reverse track real patient identity in critical medical situations. Results: The proposed protocol provides main security and privacy services such as user anonymity, message privacy, message confidentiality, user authentication, user authorization and message replay attacks. The medical environment validates the patient at the healthcare service as a real and registered patient for the medical services. Using the proposed protocol, the patient anonymous medical records at different healthcare services can be linked into one single report and it is possible to securely reverse track anonymous patient into the real identity. Conclusion: The protocol protects the patient privacy with a secure anonymous authentication to healthcare services and medical record registries according to the European and the UK legislations, where the patient real identity is not disclosed with the distributed patient medical records.

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47

Hugger, Deborah. "Records are about patient care." Nursing Standard 12, no. 29 (April 8, 1998): 10. http://dx.doi.org/10.7748/ns.12.29.10.s25.

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48

Brelstaff, Gavin, Sascha Moehrs, Paolo Anedda, Massimiliano Tuveri, and Gianluigi Zanetti. "Internet Patient Records: new techniques." Journal of Medical Internet Research 3, no. 1 (March 17, 2001): e8. http://dx.doi.org/10.2196/jmir.3.1.e8.

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49

NOLAN-AVILA, LORENE S., RONNIE ABRAMS, ROXANE B. SPITZER, and M. MICHAEL SHABOT. "ASSESSMENT-DRIVEN PATIENT CARE RECORDS." AJN, American Journal of Nursing 85, no. 6 (June 1985): 721–24. http://dx.doi.org/10.1097/00000446-198506000-00026.

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Winman, Thomas, and Hans Rystedt. "Electronic patient records in action." Health Informatics Journal 17, no. 1 (March 2011): 51–62. http://dx.doi.org/10.1177/1460458210396330.

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