Introduction to Health Informatics

IIDS60542 Introduction to Health Informatics 15 Semester 2 Postgraduate Taught Level 6 Helen Hulme Unit coordinator Division of Informatics, Imaging and Data Sciences 1 FHEQ level (Framework for Higher Education Qualifications) ' Masters/Integrated Masters P4 ' European Credit Transfer & Accumulation System Rating : 7.5 Central to any efforts to build an efficient health care system, or in supporting evidence-based medicine, is the need to capture information around patient diagnosis and medical treatment. At the core of this activity is the development of electronic patient records. Good quality electronic patient records require us to have systematic and unambiguous tools for recording the health state of a patient, and the treatments they receive. This unit provides a basic introduction to the development and use of electronic patient records, their long history, and the challenges still to be overcome. Central to any efforts to build an efficient health care system, or in supporting evidence-based medicine, is the need to capture information around patient diagnosis and medical treatment. At the core of this activity is the development of electronic patient records.  In addition to Electronic Patient records, emerging technologies mean there is an ever- widening set of possibilities in terms of Electronic Applications which could be employed to leverage the available data. Appreciating the possibilities forms part of this module. As well as mapping logically how such applications may result in actual benefit to: Clinicians, Researchers, Hospital administrators, and most importantly, to Patients.<o:p></o:p>Good quality electronic patient records require us to have systematic and unambiguous tools for recording the health state of a patient, and the treatments they receive. This unit provides a basic introduction to the development and use of electronic patient records and associated applications, their long history, and the challenges still to be overcome.Patient data is captured in many parts of the health service, in GP surgeries, in hospital labs, by different clinical teams. All this data needs to be brought together and shared - whether that be to build a record for a single patient, or provide an overview of activity across a region. This requires that data can be shared and integrated. However, the challenges in developing such systems are not purely technical. Issues around organisational and human factors are at least as difficult to develop effective solutions as developing an appropriate IT infrastructure.In addition to Electronic Health Records, health systems now have a whole ecosystem of applications intended to leverage clinical date for patient benefit. By the end of the module students should have an understanding of electronic patient records, why they are so important, and also just why it is so difficult to do well. In addition, they should have an appreciation of current technological capabilities and new/upcoming applications for benefitting patients. They should also have some appreciation of the governance and data security problems surrounding the capture, use and sharing of clinical data. Part 1: Coding<ul><li>Introduce students to basic concepts in coding systems used in health care</li><li>Examine the history of coding schemes in medicine</li><li>Explore some of the current coding schemes in detail (Read codes) and discuss future developments (Snomed)</li><li>Examine some of the issues and problems around the use and maintenance of coding schemes</li><li>Discuss the development and deployment of electronic patient records (EPRs)</li><li><span style="font-family:"Arial",sans-serif;font-size:12.0pt;letter-spacing:-.1pt;line-height:115%;mso-ansi-language:EN-GB;mso-bidi-language:AR-SA;mso-fareast-font-family:"Times New Roman";mso-fareast-language:EN-GB;mso-fareast-theme-font:minor-fareast;mso-font-kerning:0pt;">Explore some of the current coding schemes in detail SNOMED CT, ICD, and their evolution from previous systems (Read codes).</li></ul>Part 2: Sharing<ul><li>Introduce students to basic concepts in of interoperability in health care</li><li>Introduce basic messaging concepts, including an overview of HL7 FHIR</li><li>Introduce issues and problems around data interoperability</li><li>Examine strategies for data integration</li></ul>Part3: Human Factors EPRs in practice<ul><li>Introduce students to basic concepts in of organisational and human factors in e-health</li><li>Explore issues of EPRs in practice</li><li>Introduce basic concepts around qualitative research methodologies</li><li>Introduce basic concepts around useability in healthcare</li><li>Introduce concepts around organisational change in the health service</li></ul> <wbr style="color: rgb(0, 0, 0); font-family: Times New Roman; font-size: 16px; font-style: normal; font-variant: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: left; text-decoration: none; text-indent: 0px; text-transform: none; -webkit-text-stroke-width: 0px; white-space: normal; word-spacing: 0px;" /><ul id="docs-internal-guid-63a9d0ad-7fff-5c38-13e3-3f3bc3801e01"> <li dir="ltr"> Basic understanding of electronic patient records. An understanding of the complexities and problems in capturing clinical data. An understanding of the ethical and privacy issues surrounding medical data governance.</li> <li dir="ltr"> An understanding of the theoretical underpinning of coding schemes and data sharing protocols. Critical evaluation of health care literature around EPRs</li> <li dir="ltr"> Basic familiarity with the process of medical coding. Ability to understand the processes involved in mapping between different coding schemes. Ability to understand the processes involved in medical data sharing. Ability to critically evaluate current literature on EPRs.</li> <li dir="ltr"> Interdisciplinary teamworking.  Self-directed learning. Reflection upon learning.</li></ul> Group/team working Innovation/creativity Project management Oral communication Problem solving Research Written communication 0 Other 30% 2 Written assignment (inc essay) 70% Students work in groups exploring health informatics issues around a particular disease pathway. During each day of the course groups will report back on two occasions on the work they have done - and on which they will receive formative feedback from the course tutors. Students will keep a record of their groupwork activities and make this available to their tutors. Students will, as a group, develop a presentation file showcasing their groupwork. Students will receive formative and summative feedback on their groupwork and presentation (30 marks total) The main (70%) assessment is an individual report which may be based on this work or on any patient-centric aspect of Health Informatics applications, bringing in the themes of this course. Students will be given detailed feedback on any report plan before the final report is written.  COMP60532 Principles of Digital Biology Pre-Requisite Compulsory MSc Adv Computer Science MSc Artificial Intelligence PGDT Taught Component Optional MSc Adv Computer Science Computer Security PGDT Taught Component Optional MSc Health Data Science PT MSc Health Data Science PGDT Taught Component Optional PG Dip Health Data Science PT PG Diploma Health Data Science PGDT Taught Component Optional PG Cert Health Data Science PT PGCert Health Data Sci (18) PGDT Taught Component Mandatory Health Data Science - CPD Health Data Science - CPD PGDT Taught Component Optional MSc Health Data Science FT MSc Health Data Science FT PGDT Taught Component Optional PG Dip Health Data Science FT PG Dip Health Data Science FT PGDT Taught Component Mandatory PG Cert Health Data Science FT PG Cert Health Data Science FT PGDT Taught Component Mandatory N Lectures 10 Practical classes & workshops 10 0 130